quote_text
stringlengths 13
1.62k
| entity_simple_name
stringclasses 10
values | entity_title
stringclasses 10
values | entity_profile_pic_url
stringclasses 10
values | post_video_thumbnail_url
stringclasses 995
values | post_appearance_date
stringclasses 97
values | company_logo_url
stringclasses 9
values | entity_institution
stringclasses 10
values | post_title
stringclasses 987
values | post_source_url
stringclasses 995
values | quote_is_notable
bool 2
classes | quote_is_controversial
bool 2
classes | quote_is_financial_policy
bool 2
classes | quote_topics
stringlengths 2
141
| quote_entities
stringlengths 2
165
| quote_companies
stringclasses 354
values | post_description
stringclasses 885
values | post_source_created_at
stringdate 2025-08-01 00:01:44
2025-10-31 23:28:20
| quote_timestamp_from_tx
stringlengths 4
34
⌀ | quote_created_at
stringdate 2025-08-01 02:06:06
2025-11-24 09:30:35
| entity_id
int64 14
123k
| entity_name
stringclasses 10
values | entity_is_politician
bool 2
classes | entity_is_company_leader
bool 2
classes | entity_is_top_influencer
bool 2
classes | company_id
float64 51
1.43k
⌀ | company_ticker
stringclasses 9
values | post_id
int64 264k
418k
| post_appearance_lag_days
float64 -7,535
0
⌀ | post_thumbnail_quality_review_score
float64 0.66
1
| post_transcript_quality_review_score
float64 0.2
0.99
| post_transcript_length_chars
int64 514
946k
| post_has_transcript
bool 1
class | transcript_demo_only_request_licensed_access
stringclasses 992
values | quote_id
int64 307k
558k
|
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No, I didn't know. I mean, I would I would figure it was ABC fake news that would ask that question. One of the worst. Uh, but uh, no, I don't know really why.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump on Virginia Giuffre’s family’s statement regarding Epstein
|
https://www.youtube.com/watch?v=3SLxqyTA1Lc
| true
| true
| false
|
["media", "Jeffrey Epstein", "Virginia Giuffre"]
|
["Jeffrey Epstein", "Virginia Giuffre", "ABC"]
|
["ABC"]
|
The family of Virginia Giuffre, who was among Jeffrey Epstein's most well-known sex trafficking accusers, said that it was shocking ...
|
2025-08-01T00:10:05.075000+00:00
|
00:00:09,000 --> 00:00:18,000
|
2025-08-01T02:06:06.798322+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 263,777
| null | 1
| 0.95
| 1,507
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThe family of Virginia Duprey released a", "2\n00:00:00,000 --> 00:00:02,000\nThe family of Virginia Duprey released a", "3\n00:00:02,000 --> 00:00:04,000\nstatement overnight in response to some", "4\n00:00:04,000 --> 00:00:06,000\nof the comments that you made this week.", "5\n00:00:06,000 --> 00:00:07,000\nYou said that Jeffrey Epstein stole", "6\n00:00:07,000 --> 00:00:10,000\npeople from Mara Lago at the time. Did", "7\n00:00:10,000 --> 00:00:11,000\nyou know why he was taking those young", "8\n00:00:11,000 --> 00:00:13,000\nwomen, including Virginia?", "9\n00:00:13,000 --> 00:00:14,000\nNo, I didn't know. I mean, I would I", "10\n00:00:14,000 --> 00:00:16,000\nwould figure it was ABC fake news that", "11\n00:00:16,000 --> 00:00:18,000\nwould ask that question. One of the", "12\n00:00:18,000 --> 00:00:20,000\nworst. Uh, but uh, no, I don't know", "13\n00:00:20,000 --> 00:00:23,000\nreally why. Uh, but I said if he's taken", "14\n00:00:23,000 --> 00:00:26,000\nanybody from Mara Lago, he's hiring or", "15\n00:00:26,000 --> 00:00:28,000\nwhatever he's doing. I didn't like it", "16\n00:00:28,000 --> 00:00:30,000\nand we threw him out. We said we don't", "17\n00:00:30,000 --> 00:00:33,000\nwant him, you know, at the place. This", "18\n00:00:33,000 --> 00:00:35,000\nis a story that's been known for many", "19\n00:00:35,000 --> 00:00:38,000\nyears as you know. Uh, but it's uh I", "20\n00:00:38,000 --> 00:00:43,000\ndidn't like it that he was doing"]
| 306,714
|
||
They want to put me in jail, take away all government contracts from my companies, nationalize my companies, deport me as an illegal, and have me arrested because I'm apparently Putin's best friend.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| true
| true
|
["political pressure", "government contracts", "legal threats"]
|
["Putin"]
|
["Tesla"]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:01:48,000 --> 00:01:59,000
|
2025-08-02T01:19:27.933663+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,800
|
|||
Charlotte's been a great growth town and as you know, it's headquarters, some of the great banks here. It's been growing over time. We actually want to be everywhere, even some places that maybe aren't growing as fast as Charlotte, but here you have schools and universities and businesses and research and that's what makes it so appealing.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| false
|
["regional growth", "bank expansion", "education", "business development"]
|
["Charlotte"]
|
["JPMorgan Chase"]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:00:06,000 --> 00:00:27,000
|
2025-08-04T01:53:24.594662+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,767
|
|||
If AI can perceive, it can reason and it can generate videos and words and images and just now with cars the path, the steering wheel path, why can't it also generate locomotion abilities and articulation abilities?
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2024-01-01
|
Nvidia
|
Jensen Huang: The Rise of Humanoid Robots and Their Impact on the Future of AI
|
https://www.youtube.com/watch?v=ftcTPAqn6B8
| true
| false
| false
|
["artificial intelligence", "robotics", "automation"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
Subscribe to our Newsletter: https://aientrepreneurs.standout.digital?utm_source=yt Subscribe for more tech insights: ...
|
2025-08-05T15:31:43.657000+00:00
|
00:00:07,000 --> 00:00:27,000
|
2025-08-05T19:24:33.076222+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 270,062
| -582
| 1
| 0.88
| 1,063
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThe same thing that's happening for cars", "2\n00:00:00,000 --> 00:00:02,000\nThe same thing that's happening for cars", "3\n00:00:02,000 --> 00:00:04,000\nis happening for a new industry. As I", "4\n00:00:04,000 --> 00:00:07,000\nmentioned earlier, if you can generate", "5\n00:00:07,000 --> 00:00:11,000\nvideo from prompts. If AI can perceive,", "6\n00:00:11,000 --> 00:00:14,000\nit can reason and it can generate videos", "7\n00:00:14,000 --> 00:00:17,000\nand words and images and just now with", "8\n00:00:17,000 --> 00:00:21,000\ncars the path, the steering wheel path,", "9\n00:00:21,000 --> 00:00:24,000\nwhy can't it also generate locomotion", "10\n00:00:24,000 --> 00:00:27,000\nabilities and articulation abilities? So", "11\n00:00:27,000 --> 00:00:30,000\nthat fundamental ability for AI to", "12\n00:00:30,000 --> 00:00:32,000\nrevolutionize one of the hardest", "13\n00:00:32,000 --> 00:00:35,000\nrobotics problems is around the corner.", "14\n00:00:35,000 --> 00:00:40,000\nHuman or robots are going to be a"]
| 313,378
|
|||
It's about the people, the employees, the customers, and the communities that these businesses serve.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["business philosophy", "stakeholders", "community"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:00,000 --> 00:00:04,000
|
2025-08-12T10:45:53.859317+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,015
|
|||
We provide search results for any time you type in a keyword. We as Google have crawled, we've gone out and crawled and stored billions of web pages in our index and we take the keyword and match it against web pages and rank them based on over 200 signals, things like relevance, freshness, popularity, how other people are using it.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2018-12-01
|
Alphabet Google
|
Sundar Pichai Explains Why Trump’s Photo Shows Up Under ‘Idiot’ Search
|
https://www.youtube.com/watch?v=ajkSoLax5Go
| true
| false
| false
|
["search engine", "technology", "algorithm"]
|
["Google"]
|
["Google"]
|
Google CEO Sundar Pichai answers a US Congressional question on why Donald Trump's photo appeared under the search ...
|
2025-08-11T08:01:37.490000+00:00
|
00:00:10,000 --> 00:00:33,000
|
2025-08-16T10:44:41.893719+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 284,548
| -2,445
| 1
| 0.96
| 1,492
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nIf you Google the word idiot under", "2\n00:00:00,000 --> 00:00:04,000\nIf you Google the word idiot under", "3\n00:00:04,000 --> 00:00:07,000\nimages, a picture of Donald Trump comes", "4\n00:00:07,000 --> 00:00:09,000\nup. How does search work so that that", "5\n00:00:09,000 --> 00:00:10,000\nwould occur?", "6\n00:00:10,000 --> 00:00:12,000\nWe provide search rate uh for any time", "7\n00:00:12,000 --> 00:00:15,000\nyou type in a keyword. Uh we as Google,", "8\n00:00:15,000 --> 00:00:16,000\nwe have crawled, we've gone out and", "9\n00:00:16,000 --> 00:00:19,000\ncrawled and stored billion copies of", "10\n00:00:19,000 --> 00:00:21,000\nbillions of web pages in our index and", "11\n00:00:21,000 --> 00:00:24,000\nwe take the keyword and match it against", "12\n00:00:24,000 --> 00:00:26,000\nweb pages and rank them based on over", "13\n00:00:26,000 --> 00:00:29,000\n200 signals. things like relevance,", "14\n00:00:29,000 --> 00:00:31,000\nfreshness, popularity, how other people", "15\n00:00:31,000 --> 00:00:33,000\nare using it and and based on that you", "16\n00:00:33,000 --> 00:00:35,000\nknow at any given time uh we try to rank", "17\n00:00:35,000 --> 00:00:37,000\nand find the best results for that query", "18\n00:00:37,000 --> 00:00:39,000\nand then we evaluate them with external", "19\n00:00:39,000 --> 00:00:41,000\nraiders uh to make sure that and they", "20\n00:00:41,000 --> 00:00:46,000\nevaluated to objective guidelines."]
| 327,763
|
|||
I think there's the creation of AI and it's going to be amazing and it provides enormous benefits. It's really unique. I think it's the best technology ever, different technologies because it's thinking that applies to everything.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| false
| false
|
["artificial intelligence", "technology", "innovation"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:00:05 - 00:00:29
|
2025-08-02T02:01:15.204618+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,171
|
|||
This employment report is jarring investors because it was much weaker than expected mostly because of downward revisions to previous months, causing fears of recession to surface. We have been using the phrase rolling recession for the last three years and anticipate a very strong recovery from it.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["employment report", "recession", "economic recovery"]
|
["Federal Reserve", "President Trump", "Jerome Powell"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:01:09 - 00:01:44
|
2025-08-02T02:11:23.574943+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,372
|
|||
I expect that people will spend less time on productivity software and more time creating and connecting.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "productivity", "technology impact"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:10,000 --> 00:00:16,000
|
2025-08-02T10:48:14.645817+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,596
|
|||
Our policy rate is now 100 basis points closer to neutral than it was a year ago, and the stability of the unemployment rate and other labor market measures allows us to proceed carefully as we consider changes to our policy stance.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["monetary policy", "interest rates", "labor market"]
|
["Federal Open Market Committee"]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:07:29,000 --> 00:07:40,000
|
2025-08-23T02:30:06.004617+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,484
|
|||
If he's taken anybody from Mara Lago, he's hiring or whatever he's doing. I didn't like it and we threw him out. We said we don't want him, you know, at the place.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump on Virginia Giuffre’s family’s statement regarding Epstein
|
https://www.youtube.com/watch?v=3SLxqyTA1Lc
| true
| true
| false
|
["Jeffrey Epstein", "Mar-a-Lago", "security"]
|
["Jeffrey Epstein"]
|
["Mar-a-Lago"]
|
The family of Virginia Giuffre, who was among Jeffrey Epstein's most well-known sex trafficking accusers, said that it was shocking ...
|
2025-08-01T00:10:05.075000+00:00
|
00:00:22,000 --> 00:00:33,000
|
2025-08-01T02:06:07.156867+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 263,777
| null | 1
| 0.95
| 1,507
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThe family of Virginia Duprey released a", "2\n00:00:00,000 --> 00:00:02,000\nThe family of Virginia Duprey released a", "3\n00:00:02,000 --> 00:00:04,000\nstatement overnight in response to some", "4\n00:00:04,000 --> 00:00:06,000\nof the comments that you made this week.", "5\n00:00:06,000 --> 00:00:07,000\nYou said that Jeffrey Epstein stole", "6\n00:00:07,000 --> 00:00:10,000\npeople from Mara Lago at the time. Did", "7\n00:00:10,000 --> 00:00:11,000\nyou know why he was taking those young", "8\n00:00:11,000 --> 00:00:13,000\nwomen, including Virginia?", "9\n00:00:13,000 --> 00:00:14,000\nNo, I didn't know. I mean, I would I", "10\n00:00:14,000 --> 00:00:16,000\nwould figure it was ABC fake news that", "11\n00:00:16,000 --> 00:00:18,000\nwould ask that question. One of the", "12\n00:00:18,000 --> 00:00:20,000\nworst. Uh, but uh, no, I don't know", "13\n00:00:20,000 --> 00:00:23,000\nreally why. Uh, but I said if he's taken", "14\n00:00:23,000 --> 00:00:26,000\nanybody from Mara Lago, he's hiring or", "15\n00:00:26,000 --> 00:00:28,000\nwhatever he's doing. I didn't like it", "16\n00:00:28,000 --> 00:00:30,000\nand we threw him out. We said we don't", "17\n00:00:30,000 --> 00:00:33,000\nwant him, you know, at the place. This", "18\n00:00:33,000 --> 00:00:35,000\nis a story that's been known for many", "19\n00:00:35,000 --> 00:00:38,000\nyears as you know. Uh, but it's uh I", "20\n00:00:38,000 --> 00:00:43,000\ndidn't like it that he was doing"]
| 306,715
|
||
My philosophy is you play to win. You don't play by half measure. I was with the team every day, seven days a week, working the early votes in Pennsylvania and other swing states. X from my perspective played a pivotal role not just in this election but in keeping the country alive.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| false
| false
|
["election strategy", "voting", "social media"]
|
["Pennsylvania", "X", "United States"]
|
["Tesla", "X"]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:00:49,000 --> 00:01:18,000
|
2025-08-02T01:19:28.175074+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,801
|
|||
A million people a day visit those branches, and I always say that people want to visit their money. They're much more advice. So in the old days used to be more transactional, but now in the average branch of a wealth manager, a mortgage person, a small business specialist, a million people a day go. So half the accounts are still open in branches, and even people who are mostly digital use a branch every now and then.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| false
|
["banking trends", "branch banking", "digital banking"]
|
[]
|
["JPMorgan Chase"]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:00:42,000 --> 00:01:06,000
|
2025-08-04T01:53:24.763410+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,768
|
|||
That fundamental ability for AI to revolutionize one of the hardest robotics problems is around the corner.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2024-01-01
|
Nvidia
|
Jensen Huang: The Rise of Humanoid Robots and Their Impact on the Future of AI
|
https://www.youtube.com/watch?v=ftcTPAqn6B8
| true
| false
| false
|
["artificial intelligence", "robotics", "technology innovation"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
Subscribe to our Newsletter: https://aientrepreneurs.standout.digital?utm_source=yt Subscribe for more tech insights: ...
|
2025-08-05T15:31:43.657000+00:00
|
00:00:30,000 --> 00:00:35,000
|
2025-08-05T19:24:33.479343+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 270,062
| -582
| 1
| 0.88
| 1,063
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThe same thing that's happening for cars", "2\n00:00:00,000 --> 00:00:02,000\nThe same thing that's happening for cars", "3\n00:00:02,000 --> 00:00:04,000\nis happening for a new industry. As I", "4\n00:00:04,000 --> 00:00:07,000\nmentioned earlier, if you can generate", "5\n00:00:07,000 --> 00:00:11,000\nvideo from prompts. If AI can perceive,", "6\n00:00:11,000 --> 00:00:14,000\nit can reason and it can generate videos", "7\n00:00:14,000 --> 00:00:17,000\nand words and images and just now with", "8\n00:00:17,000 --> 00:00:21,000\ncars the path, the steering wheel path,", "9\n00:00:21,000 --> 00:00:24,000\nwhy can't it also generate locomotion", "10\n00:00:24,000 --> 00:00:27,000\nabilities and articulation abilities? So", "11\n00:00:27,000 --> 00:00:30,000\nthat fundamental ability for AI to", "12\n00:00:30,000 --> 00:00:32,000\nrevolutionize one of the hardest", "13\n00:00:32,000 --> 00:00:35,000\nrobotics problems is around the corner.", "14\n00:00:35,000 --> 00:00:40,000\nHuman or robots are going to be a"]
| 313,379
|
|||
The test isn't whether you get the greatest business idea in the world the first time out. The test is whether you keep learning as you go along what your strengths are and what you can do for your customers.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["entrepreneurship", "business strategy", "learning"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:06,000 --> 00:00:17,000
|
2025-08-12T10:45:54.258525+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,016
|
|||
At any given time we try to rank and find the best results for that query and then we evaluate them with external raters to make sure that they are evaluated to objective guidelines.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2018-12-01
|
Alphabet Google
|
Sundar Pichai Explains Why Trump’s Photo Shows Up Under ‘Idiot’ Search
|
https://www.youtube.com/watch?v=ajkSoLax5Go
| true
| false
| false
|
["search engine", "content moderation", "technology"]
|
["Google"]
|
["Google"]
|
Google CEO Sundar Pichai answers a US Congressional question on why Donald Trump's photo appeared under the search ...
|
2025-08-11T08:01:37.490000+00:00
|
00:00:37,000 --> 00:00:46,000
|
2025-08-16T10:44:42.087975+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 284,548
| -2,445
| 1
| 0.96
| 1,492
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nIf you Google the word idiot under", "2\n00:00:00,000 --> 00:00:04,000\nIf you Google the word idiot under", "3\n00:00:04,000 --> 00:00:07,000\nimages, a picture of Donald Trump comes", "4\n00:00:07,000 --> 00:00:09,000\nup. How does search work so that that", "5\n00:00:09,000 --> 00:00:10,000\nwould occur?", "6\n00:00:10,000 --> 00:00:12,000\nWe provide search rate uh for any time", "7\n00:00:12,000 --> 00:00:15,000\nyou type in a keyword. Uh we as Google,", "8\n00:00:15,000 --> 00:00:16,000\nwe have crawled, we've gone out and", "9\n00:00:16,000 --> 00:00:19,000\ncrawled and stored billion copies of", "10\n00:00:19,000 --> 00:00:21,000\nbillions of web pages in our index and", "11\n00:00:21,000 --> 00:00:24,000\nwe take the keyword and match it against", "12\n00:00:24,000 --> 00:00:26,000\nweb pages and rank them based on over", "13\n00:00:26,000 --> 00:00:29,000\n200 signals. things like relevance,", "14\n00:00:29,000 --> 00:00:31,000\nfreshness, popularity, how other people", "15\n00:00:31,000 --> 00:00:33,000\nare using it and and based on that you", "16\n00:00:33,000 --> 00:00:35,000\nknow at any given time uh we try to rank", "17\n00:00:35,000 --> 00:00:37,000\nand find the best results for that query", "18\n00:00:37,000 --> 00:00:39,000\nand then we evaluate them with external", "19\n00:00:39,000 --> 00:00:41,000\nraiders uh to make sure that and they", "20\n00:00:41,000 --> 00:00:46,000\nevaluated to objective guidelines."]
| 327,764
|
|||
I think the developments will happen but the issue of using it well, incorporating it into our lives, incorporating it into the companies so that it is producing its benefits, I think is going to be a lot slower than ideally it could be.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| false
| false
|
["artificial intelligence", "technology adoption", "business"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:00:24 - 00:01:19
|
2025-08-02T02:01:15.453146+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,172
|
|||
The odds for a rate cut in September are up to 88%, with a 50 basis point cut maybe at 25%. If people think rates are going to come down, they will wait before making major purchases, so getting back to equilibrium is important before a strong recovery.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["interest rates", "monetary policy", "Federal Reserve"]
|
["Federal Reserve", "Jerome Powell"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:02:54 - 00:03:44
|
2025-08-02T02:11:23.630346+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,373
|
|||
Super intelligence is AI that surpasses human intelligence to solve complex problems, while personal superintelligence is using that advanced AI to make our everyday tasks easier.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "superintelligence", "technology definition"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:16,000 --> 00:00:27,000
|
2025-08-02T10:48:14.994678+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,597
|
|||
Higher tariffs across our trading partners are remaking the global trading system, and tighter immigration policy has led to an abrupt slowdown in labor force growth, which may have important implications for economic growth and productivity.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| false
| true
|
["trade policy", "immigration", "economic growth", "productivity"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:01:23,000 --> 00:01:44,000
|
2025-08-23T02:30:06.014348+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,485
|
|||
We're doing so well. I believe the numbers were phony just like they were before the election and there were other times. So, you know what I did? I fired her.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump fires labor stats chief after calling jobs report 'phony' #Shorts
|
https://www.youtube.com/watch?v=Skqj5gXq9SI
| true
| true
| true
|
["labor statistics", "jobs report", "government transparency"]
|
["Donald Trump"]
|
["Trump Media & Technology Group"]
|
President Trump said, without evidence, a weak jobs report was “rigged” to make him look bad. So he fired the head of labor ...
|
2025-08-01T23:32:32.127000+00:00
|
00:00:00,000 --> 00:00:08,000
|
2025-08-02T01:52:49.075606+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,230
| null | 0.93
| 0.93
| 1,437
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWe're doing so well. I believe the", "2\n00:00:00,000 --> 00:00:02,000\nWe're doing so well. I believe the", "3\n00:00:02,000 --> 00:00:04,000\nnumbers were phony just like they were", "4\n00:00:04,000 --> 00:00:06,000\nbefore the election and there were other", "5\n00:00:06,000 --> 00:00:08,000\ntimes. So, you know what I did? I fired", "6\n00:00:08,000 --> 00:00:09,000\nher.", "7\n00:00:09,000 --> 00:00:11,000\nAnd you know what? I did the right", "8\n00:00:11,000 --> 00:00:20,000\nthing.", "9\n00:00:20,000 --> 00:00:22,000\nI've got about three very good I have a", "10\n00:00:22,000 --> 00:00:24,000\nlot of good candidates. I will say", "11\n00:00:24,000 --> 00:00:26,000\neverybody wants it. I have had more", "12\n00:00:26,000 --> 00:00:28,000\nphone calls, but I have three people", "13\n00:00:28,000 --> 00:00:30,000\nthat have have a background in labor.", "14\n00:00:30,000 --> 00:00:32,000\nYou know, I could do a long-term thing", "15\n00:00:32,000 --> 00:00:35,000\nor I could do a temporary. It's a", "16\n00:00:35,000 --> 00:00:36,000\n14-year term,", "17\n00:00:36,000 --> 00:00:38,000\nright? But you put someone in who", "18\n00:00:38,000 --> 00:00:39,000\nactually has labor statistics", "19\n00:00:39,000 --> 00:00:40,000\nexperience.", "20\n00:00:40,000 --> 00:00:42,000\nI put somebody in I put somebody in", "21\n00:00:42,000 --> 00:00:47,000\nwho's going to be honest."]
| 308,100
|
||
Rachel Maddow is a crazy person. She's just a frothing at the mouth crazy fascist basically dressed as sort of pretending to be a liberal, but she's just really like... I can't imagine if she was in charge actually in a position of political power. What a nightmare that would be.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| true
| false
|
["media criticism", "political commentary"]
|
["Rachel Maddow"]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:02:04,000 --> 00:02:37,000
|
2025-08-02T01:19:28.388239+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,802
|
|||
I think we're the number 10 bank here and our size is like, you know, we're not even 1/10 of what some of those banks do, but you know, we want to do a great job for ourselves and for our clients. Sometimes we have different products and services. We could help certain clients in India and China, maybe some other people can. So you use your strengths to do a good job for the client.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| false
|
["competition", "banking strategy", "global clients"]
|
["India", "China"]
|
["JPMorgan Chase", "Bank of America", "Wells Fargo", "Truist"]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:01:44,000 --> 00:02:05,000
|
2025-08-04T01:53:24.866189+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,769
|
|||
In the next 10 years, human generated knowledge and human generated data will probably be 1%. The vast majority of human knowledge will be generated by AI, and it will be AI generated data that other AIs learn from. It's going to be synthetic generated intelligence.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["artificial intelligence", "data generation", "technology future"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:08:01,000 --> 00:08:38,000
|
2025-08-08T10:38:03.237378+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,462
|
|||
You need a genuine desire day in day out to delight the customer.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["customer service", "business values"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:35,000 --> 00:00:42,000
|
2025-08-12T10:45:54.424816+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,017
|
|||
Not by default. There may be a Google service which you've opted into use. If so, Google knows that I am moving over there.
|
Sundar Pichai
|
Chief Executive Officer & Director
|
2018-01-01
|
Alphabet Google
|
Does Google track you 24/7? Google CEO Sundar Pichai answer.
|
https://www.youtube.com/watch?v=8JE0OBZJJkk
| true
| false
| false
|
["privacy", "data tracking", "user consent"]
|
["Sundar Pichai"]
|
["Google"]
|
Subscribe for more valuable content #shorts.
|
2025-08-21T08:01:38.404000+00:00
|
00:00:17,000 --> 00:00:27,000
|
2025-08-26T11:06:19.155144+00:00
| 14
|
Mr. Sundar Pichai
| false
| true
| true
| 271
|
GOOG
| 298,391
| -2,789
| 1
| 0.92
| 1,738
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nI have an iPhone and if I move from here", "2\n00:00:00,000 --> 00:00:03,000\nI have an iPhone and if I move from here", "3\n00:00:03,000 --> 00:00:04,000\nand go over there and sit with my", "4\n00:00:04,000 --> 00:00:06,000\nDemocrat friends, which will make them", "5\n00:00:06,000 --> 00:00:09,000\nreal nervous, does Google track my", "6\n00:00:09,000 --> 00:00:12,000\nmovement? Does Google through this phone", "7\n00:00:12,000 --> 00:00:14,000\nknow that I have moved here and moved", "8\n00:00:14,000 --> 00:00:17,000\nover to the left? It's either yes or no.", "9\n00:00:17,000 --> 00:00:19,000\nUh, not by default. There may be a", "10\n00:00:19,000 --> 00:00:21,000\nGoogle service which you've opted into", "11\n00:00:21,000 --> 00:00:22,000\nuse. Uh, and if", "12\n00:00:22,000 --> 00:00:25,000\nso, Google knows that I am moving over", "13\n00:00:25,000 --> 00:00:27,000\nthere. It's it's not a trick question.", "14\n00:00:27,000 --> 00:00:29,000\nYou know, you make a $100 million a", "15\n00:00:29,000 --> 00:00:30,000\nyear, you ought to be able to answer", "16\n00:00:30,000 --> 00:00:33,000\nthat question. Does Google know through", "17\n00:00:33,000 --> 00:00:36,000\nthis phone that I am moving over there", "18\n00:00:36,000 --> 00:00:38,000\nand sit next to Mr. Johnson? Which would", "19\n00:00:38,000 --> 00:00:40,000\nmake him real nervous? It's his", "20\n00:00:40,000 --> 00:00:41,000\nquestion. It's yes or no.", "21\n00:00:41,000 --> 00:00:42,000\nI won't be able to answer without", "22\n00:00:42,000 --> 00:00:43,000\nlooking at uh", "23\n00:00:43,000 --> 00:00:45,000\nYou can't say yes or no. uh without", "24\n00:00:45,000 --> 00:00:50,000\nknowing more details."]
| 341,009
|
|||
It could be used for wars and also it certainly will create great disruptions. I don't know that we'll be able to handle those disruptions how we do it.
|
Ray Dalio
|
Founder
| null |
Bridgewater Associates
|
Ray Dalio On The Future Of AI & The Economy
|
https://www.youtube.com/watch?v=npOGbWm0a9o
| true
| true
| false
|
["artificial intelligence", "war", "disruption", "security"]
|
[]
|
[]
|
Go see Chris live in America - https://chriswilliamson.live Chris and Ray Dalio discuss the future societal and economic impacts of ...
|
2025-08-01T15:48:24.107000+00:00
|
00:01:24 - 00:01:38
|
2025-08-02T02:01:15.722081+00:00
| 122,010
|
Ray Dalio
| false
| false
| true
| 950
|
None-Bridgewater Associates
| 265,337
| null | 0.87
| 0.98
| 17,878
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWhat's your perspective on the impact", "2\n00:00:00,000 --> 00:00:01,000\nWhat's your perspective on the impact", "3\n00:00:01,000 --> 00:00:03,000\nthat AI is going to have over the next", "4\n00:00:03,000 --> 00:00:05,000\nfew years?", "5\n00:00:05,000 --> 00:00:08,000\nI think", "6\n00:00:08,000 --> 00:00:12,000\nthere's the creation of AI", "7\n00:00:12,000 --> 00:00:14,000\nand it's going to be amazing and it", "8\n00:00:14,000 --> 00:00:16,000\nprovides enormous", "9\n00:00:16,000 --> 00:00:18,000\nenormous", "10\n00:00:18,000 --> 00:00:21,000\nbenefits. It's it's really unique. I", "11\n00:00:21,000 --> 00:00:24,000\nthink it's the best technology ever", "12\n00:00:24,000 --> 00:00:26,000\ndifferent technologies because it's", "13\n00:00:26,000 --> 00:00:29,000\nthinking that applies to everything. So", "14\n00:00:29,000 --> 00:00:32,000\nif you find better thinking applying to", "15\n00:00:32,000 --> 00:00:36,000\nmedicine and everything", "16\n00:00:36,000 --> 00:00:39,000\nuh building buildings doing anything it", "17\n00:00:39,000 --> 00:00:42,000\nit has that broad application and it's", "18\n00:00:42,000 --> 00:00:44,000\ngoing to be a major", "19\n00:00:44,000 --> 00:00:48,000\num um now", "20\n00:00:48,000 --> 00:00:52,000\num I don't think the actual applications", "21\n00:00:52,000 --> 00:00:56,000\nto create the differences are going to", "22\n00:00:56,000 --> 00:01:00,000\nhappen as fast as they are as as the", "23\n00:01:00,000 --> 00:01:03,000\npotential for them to happen is in other", "24\n00:01:03,000 --> 00:01:04,000\nwords I think the developments will", "25\n00:01:04,000 --> 00:01:08,000\nhappen but the issue of using it well", "26\n00:01:08,000 --> 00:01:11,000\nincorporating it into our lives", "27\n00:01:11,000 --> 00:01:14,000\nincorporating it into the companies and", "28\n00:01:14,000 --> 00:01:16,000\nso on so that it is producing its", "29\n00:01:16,000 --> 00:01:19,000\nbenefits I think is going to be a lot", "30\n00:01:19,000 --> 00:01:24,000\nslower than ideally it could be and as I", "31\n00:01:24,000 --> 00:01:28,000\nsay it could be used for wars", "32\n00:01:28,000 --> 00:01:32,000\nUm, and also it certainly will create", "33\n00:01:32,000 --> 00:01:34,000\ngreat disruptions.", "34\n00:01:34,000 --> 00:01:36,000\nI don't know that we'll be able to", "35\n00:01:36,000 --> 00:01:38,000\nhandle those disruptions how we how we", "36\n00:01:38,000 --> 00:01:41,000\ndo it. And I think it's very difficult", "37\n00:01:41,000 --> 00:01:43,000\nto even know", "38\n00:01:43,000 --> 00:01:46,000\nthe applications", "39\n00:01:46,000 --> 00:01:50,000\nuh the the implications and applications", "40\n00:01:50,000 --> 00:01:53,000\nof of the new technology. It's like um", "41\n00:01:53,000 --> 00:01:56,000\nwhen the digital age came and we have", "42\n00:01:56,000 --> 00:02:00,000\ninternet and computerization", "43\n00:02:00,000 --> 00:02:02,000\num", "44\n00:02:02,000 --> 00:02:06,000\nyou know now people will say you have a", "45\n00:02:06,000 --> 00:02:07,000\nhigher", "46\n00:02:07,000 --> 00:02:10,000\nsuicide rate and mental illness for kids", "47\n00:02:10,000 --> 00:02:12,000\nwho are on phones.", "48\n00:02:12,000 --> 00:02:17,000\nMhm. Now I would have thought that", "49\n00:02:17,000 --> 00:02:18,000\num", "50\n00:02:18,000 --> 00:02:21,000\nthat would have been a fantastic", "51\n00:02:21,000 --> 00:02:24,000\nequalizer of education.", "52\n00:02:24,000 --> 00:02:26,000\nYou know all around the world you can be", "53\n00:02:26,000 --> 00:02:29,000\neducated on this and I can't tell you", "54\n00:02:29,000 --> 00:02:31,000\none way or another other than I'm not", "55\n00:02:31,000 --> 00:02:35,000\nsmart enough to tell the implications of", "56\n00:02:35,000 --> 00:02:37,000\nthese things. It's a great productivity", "57\n00:02:37,000 --> 00:02:40,000\ntool. This is a great productivity tool.", "58\n00:02:40,000 --> 00:02:41,000\nOkay. what what has been its", "59\n00:02:41,000 --> 00:02:43,000\nimplications?", "60\n00:02:43,000 --> 00:02:46,000\nOkay, it's many ways beneficial, many", "61\n00:02:46,000 --> 00:02:49,000\nways people would say detrimental.", "62\n00:02:49,000 --> 00:02:52,000\nI think the most important thing over", "63\n00:02:52,000 --> 00:02:54,000\ntime", "64\n00:02:54,000 --> 00:02:57,000\nis how people deal with each other.", "65\n00:02:57,000 --> 00:03:01,000\nIn other words,", "66\n00:03:01,000 --> 00:03:05,000\ncan we solve our problems together?", "67\n00:03:05,000 --> 00:03:09,000\nIt's it's it's you know it's karma", "68\n00:03:09,000 --> 00:03:12,000\nor", "69\n00:03:12,000 --> 00:03:15,000\nyou know", "70\n00:03:15,000 --> 00:03:17,000\nif you don't do it together you're going", "71\n00:03:17,000 --> 00:03:21,000\nto be at each other's throats and", "72\n00:03:21,000 --> 00:03:23,000\nand you won't solve the problems. He", "73\n00:03:23,000 --> 00:03:24,000\nsaid", "74\n00:03:24,000 --> 00:03:27,000\nfig
| 308,173
|
|||
Year to date, the deficit as a percent of GDP has shrunk from roughly 7.3% to 6.2%, and with tariffs annualizing at $450 billion per year, the deficit is expected to be roughly 4.7%, which could fall to 3% by 2026, two years ahead of schedule, creating a positive backdrop for equity investors.
|
Cathie Wood
|
CEO & Founder
| null |
Ark Invest
|
A Jarring Employment Report | ITK With Cathie Wood
|
https://www.youtube.com/watch?v=5_33zhfy4kk
| true
| false
| true
|
["fiscal policy", "deficit", "tariffs", "GDP"]
|
["Treasury Secretary Janet Yellen", "President Trump"]
|
[]
|
On episode LXX of "In The Know" (August 1, 2025), ARK CEO/CIO Cathie Wood discusses various aspects of fiscal and monetary ...
|
2025-08-01T23:06:28.496000+00:00
|
00:06:06 - 00:07:40
|
2025-08-02T02:11:23.687249+00:00
| 123,209
|
Cathie Wood
| false
| true
| false
| 1,429
|
None-ARK Invest
| 265,507
| null | 0.95
| 0.99
| 43,206
| true
|
["1\n00:00:00,000 --> 00:00:00,000\n[Music]", "2\n00:00:00,000 --> 00:00:18,000\n[Music]", "3\n00:00:18,000 --> 00:00:24,000\nGreetings everyone. It is employment Friday once again. Uh happy to be with", "4\n00:00:24,000 --> 00:00:30,000\nyou and I really want to thank my team uh for helping pull these charts", "5\n00:00:30,000 --> 00:00:39,000\ntogether for you today. Um Will Sher, Dan Rodriguez, and Dan White. Um", "6\n00:00:39,000 --> 00:00:44,000\ncouldn't do this without them. Uh so it is employment Friday and uh this", "7\n00:00:44,000 --> 00:00:50,000\nemployment report is causing some consternation. So as usual and with the", "8\n00:00:50,000 --> 00:00:56,000\nslides I'll go through fiscal policy, monetary policy uh economic indicators", "9\n00:00:56,000 --> 00:01:02,000\nand market indicators and a little bit on innovation interpersed throughout. uh", "10\n00:01:02,000 --> 00:01:09,000\nbut I'll start uh by summarizing that you know this employment report is", "11\n00:01:09,000 --> 00:01:14,000\njarring investors uh because it it was much weaker than", "12\n00:01:14,000 --> 00:01:21,000\nexpected mostly because of downward revisions to previous months significant", "13\n00:01:21,000 --> 00:01:28,000\ndownward revisions and so fears of recession are starting to surface and I", "14\n00:01:28,000 --> 00:01:35,000\njust want to remind everyone that we have been using this phrase rolling recession for the last three years and I", "15\n00:01:35,000 --> 00:01:44,000\nthink as we get into the charts you'll see what I mean uh anticipating that we would get uh this last leg uh especially", "16\n00:01:44,000 --> 00:01:52,000\nwith the uncertainties around trade and uh and tariffs tax policy", "17\n00:01:52,000 --> 00:01:59,000\nuh and regulation or deregulation when uh when it would take place. A lot of", "18\n00:01:59,000 --> 00:02:05,000\nthose are clearing up right now. Uh and one of the big variables that many", "19\n00:02:05,000 --> 00:02:13,000\npeople are wondering uh about now is interest rates. Uh this week uh Chairman", "20\n00:02:13,000 --> 00:02:20,000\nPowell sounded very hawkish. Uh I think he didn't appreciate being um being", "21\n00:02:20,000 --> 00:02:26,000\nfeatured along with President Trump uh at a construction site. Uh so there", "22\n00:02:26,000 --> 00:02:32,000\nthere may have been something else going on there because the data as it is", "23\n00:02:32,000 --> 00:02:40,000\nevolving here is certainly moving in a direction that would lead the Fed to uh", "24\n00:02:40,000 --> 00:02:47,000\nto ease. And of course for the first time since 1993 there were two dissents", "25\n00:02:47,000 --> 00:02:54,000\nuh on the the Fed board uh this time around. And that that uh suggests that", "26\n00:02:54,000 --> 00:03:01,000\nwe probably are going to see interest rate uh uh cuts in the future. I think", "27\n00:03:01,000 --> 00:03:06,000\nthe the the odds for a rate cut in uh", "28\n00:03:06,000 --> 00:03:13,000\nSeptember are up to 88% and a 50 basis point rate cut uh maybe they're up to", "29\n00:03:13,000 --> 00:03:19,000\n25% or so. uh so uh we think that will", "30\n00:03:19,000 --> 00:03:25,000\nresolve positively as well. That's the one uncertainty and and the reason uh", "31\n00:03:25,000 --> 00:03:32,000\nthis matters is if people think rates are going to come down then they're", "32\n00:03:32,000 --> 00:03:38,000\ngoing to wait and see how low they go before they take major actions or make", "33\n00:03:38,000 --> 00:03:44,000\nbig purchases. Uh so getting back to some kind of equilibrium is going to be", "34\n00:03:44,000 --> 00:03:53,000\nimportant and that is we think the the last uncertainty uh before we have we move into uh what", "35\n00:03:53,000 --> 00:03:59,000\nwe believe will be a very strong recovery uh from a rolling recession.", "36\n00:03:59,000 --> 00:04:05,000\nmaybe starting with a rolling recovery, but gathering momentum and uh we think", "37\n00:04:05,000 --> 00:04:11,000\nby midterm elections next year. Uh clearly on the up and up with uh big", "38\n00:04:11,000 --> 00:04:16,000\nupside surprises in real growth, productivity", "39\n00:04:16,000 --> 00:04:23,000\nand uh downside surprises on inflation. So that would be another positive uh", "40\n00:04:23,000 --> 00:04:31,000\nbecause of productivity. Um, we do know that uh the r there's uh", "41\n00:04:31,000 --> 00:04:36,000\nthere's some rumblings today. Not rumblings, I guess. Uh, President Trump", "42\n00:04:36,000 --> 00:04:43,000\nuh on Truth uh Social uh said he was moving two nuclear submarines toward uh", "43\n00:04:43,000 --> 00:04:51,000\nRussia uh because of some provocative statements it seems um or that he and uh", "44\n00:04:51,000 --> 00:04:59,000\nMedve Videv who who's uh Putin's deputy have been having uh words. So uh there's", "45\n00:04:59,000 --> 00:05:05,000\nuh there's that uh going on. So geopolitical risk uh we don't think that", "46\n00:05:05,000 --> 00:05:10,000\ngoes away. Um and uh we we d
| 308,374
|
|||
I think an even more meaningful impact in our lives is going to come from everyone having a personal super intelligence that helps you achieve your goals, create what you want to see in the world, be a better friend, and grow to become the person that you aspire to be.
|
Mark Zuckerberg
|
Founder, Chairman & Chief Executive Officer
|
2024-06-01
|
Meta Platforms
|
Mark Zuckerberg outlines his vision for the future of artificial intelligence
|
https://www.youtube.com/watch?v=C-I--0vbCiU
| true
| false
| false
|
["artificial intelligence", "personal development", "technology vision"]
|
["Mark Zuckerberg"]
|
["Meta Platforms"]
|
Mark Zuckerberg outlines his vision for artificial intelligence, a plan centered on "personal superintelligence." READ MORE: ...
|
2025-08-01T08:55:17.791000+00:00
|
00:00:34,000 --> 00:00:48,000
|
2025-08-02T10:48:15.199788+00:00
| 5,844
|
Mr. Mark Elliot Zuckerberg
| false
| false
| true
| 176
|
META
| 265,795
| -426
| 1
| 0.92
| 3,251
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "2\n00:00:00,000 --> 00:00:04,000\nMark Zuckerberg laid out his vision for the future of artificial intelligence,", "3\n00:00:04,000 --> 00:00:07,000\na plan that involves personal superintelligence,", "4\n00:00:07,000 --> 00:00:09,000\nwhich he says will improve people's lives.", "5\n00:00:09,000 --> 00:00:10,000\nIf trends continue.", "6\n00:00:10,000 --> 00:00:12,000\nI expect that people", "7\n00:00:12,000 --> 00:00:14,000\nwill spend less time on productivity software", "8\n00:00:14,000 --> 00:00:16,000\nand more time creating and connecting.", "9\n00:00:16,000 --> 00:00:18,000\nSuper intelligence is AI that surpasses", "10\n00:00:18,000 --> 00:00:21,000\nhuman intelligence to solve complex problems,", "11\n00:00:21,000 --> 00:00:24,000\nwhile personal superintelligence is using that advanced", "12\n00:00:24,000 --> 00:00:27,000\nAI to make our everyday tasks easier.", "13\n00:00:27,000 --> 00:00:29,000\nZuckerberg says others in the industry want", "14\n00:00:29,000 --> 00:00:32,000\nsuperintelligence to automate all valuable human work,", "15\n00:00:32,000 --> 00:00:34,000\nbut he says that's not Mehta's goal.", "16\n00:00:34,000 --> 00:00:37,000\nI think an even more meaningful impact in our lives", "17\n00:00:37,000 --> 00:00:40,000\nis going to come from Everyone having a personal super intelligence", "18\n00:00:40,000 --> 00:00:42,000\nthat helps you achieve your goals,", "19\n00:00:42,000 --> 00:00:44,000\ncreate what you want to see in the world,", "20\n00:00:44,000 --> 00:00:45,000\nbe a better friend,", "21\n00:00:45,000 --> 00:00:48,000\nand grow to become the person that you aspire to be.", "22\n00:00:48,000 --> 00:00:52,000\nMajor companies like Amazon and Google are already using AI assistance to", "23\n00:00:52,000 --> 00:00:56,000\nhelp with a range of tasks from helping customers to analyzing data,", "24\n00:00:56,000 --> 00:00:59,000\nand Walmart recently launched its AI shopping assistant Sparky,", "25\n00:00:59,000 --> 00:01:02,000\nwhich can summarize reviews and offer recommendations.", "26\n00:01:02,000 --> 00:01:04,000\nBut personal superintelligence,", "27\n00:01:04,000 --> 00:01:05,000\nMehta says,", "28\n00:01:05,000 --> 00:01:06,000\nwould take that.", "29\n00:01:06,000 --> 00:01:08,000\nTechnology a step further with the ability to remember", "30\n00:01:08,000 --> 00:01:11,000\nyour wedding anniversary and plan a celebration for you,", "31\n00:01:11,000 --> 00:01:14,000\nmap out a year-long wellness regimen to get you in shape,", "32\n00:01:14,000 --> 00:01:17,000\nand even write you a business plan in minutes.", "33\n00:01:17,000 --> 00:01:19,000\nZuckerberg also touting AI glasses,", "34\n00:01:19,000 --> 00:01:22,000\nsaying they'll one day become our main computing device.", "35\n00:01:22,000 --> 00:01:25,000\nMehta has been on a spending spree to boost its AI infrastructure,", "36\n00:01:25,000 --> 00:01:31,000\npoaching talent from other tech firms accused of offering $100 million bonuses.", "37\n00:01:31,000 --> 00:01:32,000\nAndrew Dembert,", "38\n00:01:32,000 --> 00:01:33,000\nABC News,", "39\n00:01:33,000 --> 00:01:38,000\nNew York."]
| 308,598
|
|||
The effects of tariffs on consumer prices are now clearly visible, and while we expect those effects to be relatively short-lived, there is a risk that upward pressure on prices from tariffs could spur a more lasting inflation dynamic.
|
Jerome Powell
|
Chair of the Federal Reserve of the United States
| null |
Federal Reserve Of The United States
|
Jerome Powell speech LIVE: Fed chair delivers remarks at Jackson Hole symposium
|
https://www.youtube.com/watch?v=LyD4UYb9Axo
| true
| true
| true
|
["tariffs", "inflation", "consumer prices"]
|
[]
|
[]
|
Watch live as U.S. Federal Reserve Chair Jerome Powell delivers a high-profile address at the annual Jackson Hole Economic ...
|
2025-08-22T14:36:15.474000+00:00
|
00:05:10,000 --> 00:06:06,000
|
2025-08-23T02:30:06.056267+00:00
| 5,100
|
Jerome Powell
| false
| false
| true
| 530
|
None-Federal Reserve of the United States
| 293,777
| null | 1
| 0.98
| 41,433
| true
|
["1\n00:00:00,000 --> 00:00:00,000\ngreat deal from its post-pandemic highs.", "2\n00:00:00,000 --> 00:00:03,000\ngreat deal from its post-pandemic highs.", "3\n00:00:03,000 --> 00:00:04,000\nAt the same time, the balance of risks", "4\n00:00:04,000 --> 00:00:07,000\nappears to be shifting.", "5\n00:00:07,000 --> 00:00:09,000\nIn my remarks today, I will first", "6\n00:00:09,000 --> 00:00:10,000\naddress the current economic situation", "7\n00:00:10,000 --> 00:00:13,000\nand the near-term outlook for monetary", "8\n00:00:13,000 --> 00:00:15,000\npolicy. I will then turn to the results", "9\n00:00:15,000 --> 00:00:17,000\nof our second public review of our", "10\n00:00:17,000 --> 00:00:20,000\nmonetary policy framework as captured in", "11\n00:00:20,000 --> 00:00:22,000\nthe revised statement on longerrun goals", "12\n00:00:22,000 --> 00:00:24,000\nand monetary policy strategy that we", "13\n00:00:24,000 --> 00:00:27,000\nreleased today.", "14\n00:00:27,000 --> 00:00:29,000\nWhen I appeared at this podium one year", "15\n00:00:29,000 --> 00:00:31,000\nago, the economy was at an inflection", "16\n00:00:31,000 --> 00:00:34,000\npoint. Our policy rate had stood at 5", "17\n00:00:34,000 --> 00:00:36,000\nand a quarter to 5 and a half% for more", "18\n00:00:36,000 --> 00:00:39,000\nthan a year. That restrictive policy", "19\n00:00:39,000 --> 00:00:41,000\nstance was appropriate to help bring", "20\n00:00:41,000 --> 00:00:43,000\ndown inflation and to foster a", "21\n00:00:43,000 --> 00:00:45,000\nsustainable balance between aggregate", "22\n00:00:45,000 --> 00:00:47,000\ndemand and supply.", "23\n00:00:47,000 --> 00:00:49,000\nInflation had moved much closer to our", "24\n00:00:49,000 --> 00:00:51,000\nobjective, and the labor market had", "25\n00:00:51,000 --> 00:00:53,000\ncooled from its formerly overheated", "26\n00:00:53,000 --> 00:00:56,000\nstate. Upside risks to inflation had", "27\n00:00:56,000 --> 00:00:58,000\ndiminished, but the unemployment rate", "28\n00:00:58,000 --> 00:01:00,000\nhad in had increased by almost a full", "29\n00:01:00,000 --> 00:01:03,000\npercentage point, a development that", "30\n00:01:03,000 --> 00:01:05,000\nhistorically has not occurred outside of", "31\n00:01:05,000 --> 00:01:07,000\nrecessions.", "32\n00:01:07,000 --> 00:01:09,000\nOver the subsequent three Federal Open", "33\n00:01:09,000 --> 00:01:11,000\nMarket Committee meetings, we", "34\n00:01:11,000 --> 00:01:13,000\nrecalibrated our policy stance, setting", "35\n00:01:13,000 --> 00:01:15,000\nthe stage for the labor market to remain", "36\n00:01:15,000 --> 00:01:18,000\nin balance near maximum employment over", "37\n00:01:18,000 --> 00:01:21,000\nthe past year.", "38\n00:01:21,000 --> 00:01:23,000\nThis year, the economy has faced new", "39\n00:01:23,000 --> 00:01:25,000\nchallenges. Significantly higher tariffs", "40\n00:01:25,000 --> 00:01:27,000\nacross our trading partners are remaking", "41\n00:01:27,000 --> 00:01:30,000\nthe global trading system. Tighter", "42\n00:01:30,000 --> 00:01:32,000\nimmigration policy has led to an abrupt", "43\n00:01:32,000 --> 00:01:35,000\nslowdown in labor force growth. Over the", "44\n00:01:35,000 --> 00:01:38,000\nlonger run, changes in tax, spending,", "45\n00:01:38,000 --> 00:01:40,000\nand regulatory policies may also have", "46\n00:01:40,000 --> 00:01:42,000\nimportant implications for economic", "47\n00:01:42,000 --> 00:01:44,000\ngrowth and productivity.", "48\n00:01:44,000 --> 00:01:46,000\nThere is significant uncertainty about", "49\n00:01:46,000 --> 00:01:48,000\nwhere all of these policies will", "50\n00:01:48,000 --> 00:01:50,000\neventually settle and what their lasting", "51\n00:01:50,000 --> 00:01:54,000\neffects on the economy will be.", "52\n00:01:54,000 --> 00:01:55,000\nChanges in trade and immigration", "53\n00:01:55,000 --> 00:01:58,000\npolicies are affecting both demand and", "54\n00:01:58,000 --> 00:02:00,000\nsupply. In this environment,", "55\n00:02:00,000 --> 00:02:02,000\ndistinguishing cyclical developments", "56\n00:02:02,000 --> 00:02:04,000\nfrom trend or structural developments is", "57\n00:02:04,000 --> 00:02:07,000\ndifficult. This distinction is critical", "58\n00:02:07,000 --> 00:02:09,000\nbecause monetary policy can work to", "59\n00:02:09,000 --> 00:02:11,000\nstabilize cyclical fluctuations but can", "60\n00:02:11,000 --> 00:02:13,000\ndo little to al alter structural", "61\n00:02:13,000 --> 00:02:15,000\nchanges.", "62\n00:02:15,000 --> 00:02:17,000\nThe labor market is a case in point. The", "63\n00:02:17,000 --> 00:02:20,000\nJuly employment report released earlier", "64\n00:02:20,000 --> 00:02:22,000\nthis month showed that payroll job", "65\n00:02:22,000 --> 00:02:24,000\ngrowth slowed to an average pace of only", "66\n00:02:24,000 --> 00:02:28,000\n35,000 per month over the past 3 months,", "67\n00:02:28,000 --> 00:02:32,000\ndown from 168,000 per month during 2024.", "68\n00:02:32,000 --> 00:02:34,000\nThis slowdown is much larger
| 336,486
|
|||
I've got about three very good I have a lot of good candidates. I will say everybody wants it. I have had more phone calls, but I have three people that have a background in labor.
|
Donald Trump
|
45th and 47th U.S. President
| null | null |
Trump Media & Technology Group
|
President Trump fires labor stats chief after calling jobs report 'phony' #Shorts
|
https://www.youtube.com/watch?v=Skqj5gXq9SI
| true
| false
| true
|
["labor statistics", "appointments", "government staffing"]
|
["Donald Trump"]
|
["Trump Media & Technology Group"]
|
President Trump said, without evidence, a weak jobs report was “rigged” to make him look bad. So he fired the head of labor ...
|
2025-08-01T23:32:32.127000+00:00
|
00:00:20,000 --> 00:00:30,000
|
2025-08-02T01:52:49.219656+00:00
| 5,099
|
Donald Trump
| true
| false
| true
| null | null | 265,230
| null | 0.93
| 0.93
| 1,437
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nWe're doing so well. I believe the", "2\n00:00:00,000 --> 00:00:02,000\nWe're doing so well. I believe the", "3\n00:00:02,000 --> 00:00:04,000\nnumbers were phony just like they were", "4\n00:00:04,000 --> 00:00:06,000\nbefore the election and there were other", "5\n00:00:06,000 --> 00:00:08,000\ntimes. So, you know what I did? I fired", "6\n00:00:08,000 --> 00:00:09,000\nher.", "7\n00:00:09,000 --> 00:00:11,000\nAnd you know what? I did the right", "8\n00:00:11,000 --> 00:00:20,000\nthing.", "9\n00:00:20,000 --> 00:00:22,000\nI've got about three very good I have a", "10\n00:00:22,000 --> 00:00:24,000\nlot of good candidates. I will say", "11\n00:00:24,000 --> 00:00:26,000\neverybody wants it. I have had more", "12\n00:00:26,000 --> 00:00:28,000\nphone calls, but I have three people", "13\n00:00:28,000 --> 00:00:30,000\nthat have have a background in labor.", "14\n00:00:30,000 --> 00:00:32,000\nYou know, I could do a long-term thing", "15\n00:00:32,000 --> 00:00:35,000\nor I could do a temporary. It's a", "16\n00:00:35,000 --> 00:00:36,000\n14-year term,", "17\n00:00:36,000 --> 00:00:38,000\nright? But you put someone in who", "18\n00:00:38,000 --> 00:00:39,000\nactually has labor statistics", "19\n00:00:39,000 --> 00:00:40,000\nexperience.", "20\n00:00:40,000 --> 00:00:42,000\nI put somebody in I put somebody in", "21\n00:00:42,000 --> 00:00:47,000\nwho's going to be honest."]
| 308,101
|
||
We've got a gigantic government bureaucracy. We've got overregulation. You've got agencies that have overlapping responsibilities. There's something like 450 federal government agencies, almost two per year since America was founded. Basically everything's illegal. You just can't get anything done.
|
Elon Musk
|
Co-Founder, Technoking of Tesla, Chief Executive Officer & Director
|
2024-11-01
|
Tesla
|
Elon Musk Terrifies Tucker Carlson
|
https://www.youtube.com/watch?v=mOCj3gdCSo4
| true
| true
| true
|
["government bureaucracy", "regulation", "public policy"]
|
["United States"]
|
[]
|
Become a Musk Fan today! https://www.youtube.com/channel/UCXAWX5r69jcqPTNAhXCSA7Q/join Join our FREE ...
|
2025-08-01T00:01:44.225000+00:00
|
00:05:28,000 --> 00:06:03,000
|
2025-08-02T01:19:28.762387+00:00
| 34
|
Mr. Elon R. Musk
| false
| true
| true
| 51
|
TSLA
| 264,828
| -273
| 0.88
| 0.95
| 40,726
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nAnd uh it's getting to the point where", "2\n00:00:00,000 --> 00:00:02,000\nAnd uh it's getting to the point where", "3\n00:00:02,000 --> 00:00:03,000\nbasically everything's illegal. You just", "4\n00:00:03,000 --> 00:00:06,000\ncan't get anything done.", "5\n00:00:06,000 --> 00:00:08,000\nThey want to put me in jail, uh take", "6\n00:00:08,000 --> 00:00:10,000\naway all government contracts from my", "7\n00:00:10,000 --> 00:00:13,000\ncompanies, um nationalize my companies,", "8\n00:00:13,000 --> 00:00:17,000\nuh deport me as an illegal, uh and uh", "9\n00:00:17,000 --> 00:00:18,000\nhave me arrested because I'm apparently", "10\n00:00:18,000 --> 00:00:22,000\nPutin's best friend.", "11\n00:00:22,000 --> 00:00:24,000\nElon Musk stunned Tucker Carlson by", "12\n00:00:24,000 --> 00:00:26,000\nquickly endorsing Trump just minutes", "13\n00:00:26,000 --> 00:00:29,000\nafter the shooting, making his support", "14\n00:00:29,000 --> 00:00:31,000\nclear without hesitation. So you", "15\n00:00:31,000 --> 00:00:33,000\nendorsed Trump within minutes of him", "16\n00:00:33,000 --> 00:00:34,000\nbeing", "17\n00:00:34,000 --> 00:00:36,000\nI mean how many I mean was literally", "18\n00:00:36,000 --> 00:00:38,000\nminutes I think as I remember and then", "19\n00:00:38,000 --> 00:00:40,000\nyou just went more allin than I've ever", "20\n00:00:40,000 --> 00:00:42,000\nseen anybody ever.", "21\n00:00:42,000 --> 00:00:44,000\nDid you ever doubt or did you just", "22\n00:00:44,000 --> 00:00:47,000\ndecide to go all in and you just did it?", "23\n00:00:47,000 --> 00:00:49,000\nI mean my philosophy is you you play you", "24\n00:00:49,000 --> 00:00:51,000\nplay to win. you don't play by half", "25\n00:00:51,000 --> 00:00:53,000\nmeasure. I mean, I was with the team", "26\n00:00:53,000 --> 00:00:56,000\nevery day, seven days a week. Uh just uh", "27\n00:00:56,000 --> 00:00:59,000\nworking the early votes in Pennsylvania", "28\n00:00:59,000 --> 00:01:02,000\nand other swing states. Uh first first", "29\n00:01:02,000 --> 00:01:03,000\nregistrations first, like if people", "30\n00:01:03,000 --> 00:01:05,000\ndon't register, they can't vote. So the", "31\n00:01:05,000 --> 00:01:06,000\ninitial focus was just maximizing", "32\n00:01:06,000 --> 00:01:10,000\nregistrations and uh and then once the", "33\n00:01:10,000 --> 00:01:12,000\nregistration deadline was over, just", "34\n00:01:12,000 --> 00:01:14,000\ngetting the early votes. X from my", "35\n00:01:14,000 --> 00:01:16,000\nperspective played a pivotal role not", "36\n00:01:16,000 --> 00:01:18,000\njust in this election but in keeping the", "37\n00:01:18,000 --> 00:01:20,000\ncountry alive.", "38\n00:01:20,000 --> 00:01:22,000\nYeah. Well, X is I think the one one", "39\n00:01:22,000 --> 00:01:24,000\nplace where you can find out the truth.", "40\n00:01:24,000 --> 00:01:27,000\nElon stuns Tucker by revealing how much", "41\n00:01:27,000 --> 00:01:29,000\npressure he faced after siding with", "42\n00:01:29,000 --> 00:01:32,000\nTrump. From media backlash to business", "43\n00:01:32,000 --> 00:01:35,000\nthreats, the fallout came fast and hard.", "44\n00:01:35,000 --> 00:01:38,000\nSo, how much pressure to the extent you", "45\n00:01:38,000 --> 00:01:40,000\ncan say has there been on you to shut it", "46\n00:01:40,000 --> 00:01:43,000\ndown or to censor it? Well, I mean,", "47\n00:01:43,000 --> 00:01:45,000\napart from the multiple Democrats, uh,", "48\n00:01:45,000 --> 00:01:47,000\nsaying that I should go, they want to", "49\n00:01:47,000 --> 00:01:48,000\nput me in jail, uh, take away all", "50\n00:01:48,000 --> 00:01:51,000\ngovernment contracts from my companies,", "51\n00:01:51,000 --> 00:01:54,000\num, nationalize my companies, uh, deport", "52\n00:01:54,000 --> 00:01:57,000\nme as an illegal, uh, and, uh, have me", "53\n00:01:57,000 --> 00:01:59,000\narrested because I'm apparently Putin's", "54\n00:01:59,000 --> 00:02:01,000\nbest friend, uh, nothing besides those", "55\n00:02:01,000 --> 00:02:01,000\nthings.", "56\n00:02:01,000 --> 00:02:04,000\nSo, you saw what Rachel Maddo sort of", "57\n00:02:04,000 --> 00:02:06,000\ncasually, who's the single most popular", "58\n00:02:06,000 --> 00:02:07,000\nmedia figure on the left,", "59\n00:02:07,000 --> 00:02:09,000\nYeah. say just sort of casually, well,", "60\n00:02:09,000 --> 00:02:10,000\nElon Musk will obviously need to be", "61\n00:02:10,000 --> 00:02:13,000\nseparated from his companies, you know,", "62\n00:02:13,000 --> 00:02:15,000\nhe can't be a government, he can't hold", "63\n00:02:15,000 --> 00:02:18,000\ngovernment contracts going forward.", "64\n00:02:18,000 --> 00:02:20,000\nWhat like how do you respond to that?", "65\n00:02:20,000 --> 00:02:22,000\nRachel M is a crazy person. You know,", "66\n00:02:22,000 --> 00:02:25,000\nshe's just a frothing at the mouth crazy", "67\n00:02:25,000 --> 00:02:28,000\nfascist basically dressed as sort of", "68\n00:02:28,000 --> 00:02:29,000\npre
| 307,803
|
|||
I made a list of all the issues that are important for the health of America, not just economic but the health of America. We need to be strong for our military, for our global alliances, for the future of the free world. These are not democratic or Republican issues. What can we do to be better for our citizens and we should start doing it. I think it's more DC that needs to focus on those things than Charlotte.
|
Jamie Dimon
|
Chairman & Chief Executive Officer
| null |
Jpmorgan Chase
|
JPMorgan Chase CEO Jamie Dimon exclusive interview
|
https://www.youtube.com/watch?v=BHlaPfSebKQ
| true
| false
| true
|
["national health", "bipartisan issues", "public policy"]
|
["United States", "Washington DC"]
|
[]
|
WCNC Charlotte Anchor Ben Thompson sat down with one of the most influential people in America to talk about the bank's ...
|
2025-08-02T00:31:20.371000+00:00
|
00:03:50,000 --> 00:04:23,000
|
2025-08-04T01:53:24.949257+00:00
| 5,097
|
Jamie Dimon
| false
| true
| true
| 436
|
JPM
| 267,784
| null | 0.96
| 0.98
| 26,771
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nUh,", "2\n00:00:00,000 --> 00:00:00,000\nUh,", "3\n00:00:00,000 --> 00:00:03,000\nwe know you're here to open a branch here in Charlotte.", "4\n00:00:03,000 --> 00:00:05,000\nWhat makes Charlotte so appealing?", "5\n00:00:05,000 --> 00:00:05,000\nWell,", "6\n00:00:05,000 --> 00:00:06,000\nfirst of all,", "7\n00:00:06,000 --> 00:00:08,000\nCharlotte's been a great growth town and as you know,", "8\n00:00:08,000 --> 00:00:08,000\nit's headquarters,", "9\n00:00:08,000 --> 00:00:10,000\nsome of the great banks here.", "10\n00:00:10,000 --> 00:00:10,000\nUh,", "11\n00:00:10,000 --> 00:00:12,000\nit's been growing over time.", "12\n00:00:12,000 --> 00:00:12,000\nUh,", "13\n00:00:12,000 --> 00:00:12,000\nwe've been,", "14\n00:00:12,000 --> 00:00:15,000\nI think we opened our first branch like 4 or 5 years ago,", "15\n00:00:15,000 --> 00:00:17,000\nand so we're now in all 48 states.", "16\n00:00:17,000 --> 00:00:18,000\nSo we actually want to be everywhere,", "17\n00:00:18,000 --> 00:00:21,000\neven some places that maybe aren't growing as fast as Charlotte,", "18\n00:00:21,000 --> 00:00:25,000\nbut here you have schools and universities and businesses and research and.", "19\n00:00:25,000 --> 00:00:26,000\nUh,", "20\n00:00:26,000 --> 00:00:27,000\nand that's what makes it so appealing.", "21\n00:00:27,000 --> 00:00:27,000\nPlus,", "22\n00:00:27,000 --> 00:00:29,000\nI like being in the", "23\n00:00:29,000 --> 00:00:31,000\nbackyard of our toughest competition.", "24\n00:00:31,000 --> 00:00:32,000\nI'm sure you do.", "25\n00:00:32,000 --> 00:00:33,000\nUh,", "26\n00:00:33,000 --> 00:00:33,000\nyou know,", "27\n00:00:33,000 --> 00:00:36,000\nyou say 5000 branches in all.", "28\n00:00:36,000 --> 00:00:37,000\nWhat would you say to somebody who says that", "29\n00:00:37,000 --> 00:00:42,000\nseems a bit antiquated giving online banking today?", "30\n00:00:42,000 --> 00:00:45,000\nWhat would you say a million people a day visit those branches,", "31\n00:00:45,000 --> 00:00:48,000\nand I always say that people want to visit their money.", "32\n00:00:48,000 --> 00:00:49,000\nThey're much more advice.", "33\n00:00:49,000 --> 00:00:51,000\nSo in the old days used to be more transactional,", "34\n00:00:51,000 --> 00:00:54,000\nbut now in the average branch of a wealth manager,", "35\n00:00:54,000 --> 00:00:55,000\na mortgage person,", "36\n00:00:55,000 --> 00:00:57,000\na small business specialist,", "37\n00:00:57,000 --> 00:00:57,000\nuh,", "38\n00:00:57,000 --> 00:00:58,000\na million people a day go.", "39\n00:00:58,000 --> 00:01:01,000\nSo half the accounts are still open in branches,", "40\n00:01:01,000 --> 00:01:01,000\nand,", "41\n00:01:01,000 --> 00:01:02,000\nuh,", "42\n00:01:02,000 --> 00:01:02,000\npeople,", "43\n00:01:02,000 --> 00:01:04,000\neven people who are mostly digital,", "44\n00:01:04,000 --> 00:01:06,000\nuse a branch every now and then,", "45\n00:01:06,000 --> 00:01:09,000\nand even people who are 100% digital", "46\n00:01:09,000 --> 00:01:12,000\nsometimes open an account because they have the opportunity to go", "47\n00:01:12,000 --> 00:01:14,000\nto the branch if they need to have an emergency.", "48\n00:01:14,000 --> 00:01:15,000\nSo it helps and believe it or not,", "49\n00:01:15,000 --> 00:01:18,000\nit also once we're in town we start doing more middle", "50\n00:01:18,000 --> 00:01:21,000\nmarket bank it's almost a branding thing more middle market banking,", "51\n00:01:21,000 --> 00:01:22,000\nmore private banking,", "52\n00:01:22,000 --> 00:01:24,000\nmore investment banking,", "53\n00:01:24,000 --> 00:01:25,000\nmore state,", "54\n00:01:25,000 --> 00:01:25,000\nlocal,", "55\n00:01:25,000 --> 00:01:26,000\nuh,", "56\n00:01:26,000 --> 00:01:27,000\nso very often the state local,", "57\n00:01:27,000 --> 00:01:28,000\nthe cities and the", "58\n00:01:28,000 --> 00:01:29,000\nhospitals and the schools,", "59\n00:01:29,000 --> 00:01:31,000\nthey like the fact you're physically there.", "60\n00:01:31,000 --> 00:01:34,000\nIt makes it easier to actually tell them why they should bank with us.", "61\n00:01:34,000 --> 00:01:36,000\nWe do have great products and services for them.", "62\n00:01:36,000 --> 00:01:36,000\nYou,", "63\n00:01:36,000 --> 00:01:37,000\nyou mentioned the competition,", "64\n00:01:37,000 --> 00:01:38,000\nuh,", "65\n00:01:38,000 --> 00:01:39,000\nBank of America,", "66\n00:01:39,000 --> 00:01:39,000\nWells,", "67\n00:01:39,000 --> 00:01:40,000\nTrust ally,", "68\n00:01:40,000 --> 00:01:41,000\nall have headquarters here.", "69\n00:01:41,000 --> 00:01:44,000\nHow can Chase compete with that?", "70\n00:01:44,000 --> 00:01:44,000\nIt,", "71\n00:01:44,000 --> 00:01:44,000\nit's hard,", "72\n00:01:44,000 --> 00:01:45,000\nyou know,", "73\n00:01:45,000 --> 00:01:45,000\nwe're like,", "74\n00:01:45,000 --> 00:01:47,000\nI think we're the number 10 bank here", "75\n00:01:47,000 --> 00:01:48,000\nand we're our size is like,", "76\n00:01:48,000 --> 00:01:
| 310,770
|
|||
You want the smartest friends? You want the most productive friends? Then engage AI as fast as possible because they are super smart and they are going to help you solve problems. I use multiple AIs at the same time solving the same problems and I make one judge the other to get better answers.
|
Jensen Huang
|
Co-Founder, Chief Executive Officer, President & Director
|
2025-07-26
|
Nvidia
|
Jensen Huang's talk (Pt 3): How to Use AI, Synthetic Data, American Dream_Comments by Joanne Z. Tan
|
https://www.youtube.com/watch?v=vds03bbQzkY
| true
| false
| false
|
["artificial intelligence", "productivity", "technology adoption"]
|
["Jensen Huang"]
|
["NVIDIA"]
|
This is Part 3 of 3 of Jensen Huang's talk at Stanford University on July 26, 2025, with a summary and comments by Joanne Z. Tan ...
|
2025-08-03T08:26:00.525000+00:00
|
00:09:00,000 --> 00:09:55,000
|
2025-08-08T10:38:03.540089+00:00
| 1,259
|
Jensen Huang
| false
| true
| true
| 306
|
NVDA
| 274,027
| -8
| 0.92
| 0.96
| 26,578
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nThis part three is the final 10-minute", "2\n00:00:00,000 --> 00:00:02,000\nThis part three is the final 10-minute", "3\n00:00:02,000 --> 00:00:04,000\nsegment of a three-part recording of", "4\n00:00:04,000 --> 00:00:07,000\nJensen Juan's entire 30 minute talk in", "5\n00:00:07,000 --> 00:00:10,000\nStanford. The video was recorded on a", "6\n00:00:10,000 --> 00:00:12,000\nhandheld cell phone further away from", "7\n00:00:12,000 --> 00:00:14,000\nthe stage. The quality of this video", "8\n00:00:14,000 --> 00:00:17,000\ndoes not reflect the professional videos", "9\n00:00:17,000 --> 00:00:21,000\nmade by Templ Inc. Part three summary.", "10\n00:00:21,000 --> 00:00:23,000\nJensen Hang advised young people to", "11\n00:00:23,000 --> 00:00:26,000\nlearn how to reason and break things", "12\n00:00:26,000 --> 00:00:29,000\ndown to first principles. To know what", "13\n00:00:29,000 --> 00:00:33,000\nthe first principles are, go to school.", "14\n00:00:33,000 --> 00:00:35,000\nIn answering the concerns about human", "15\n00:00:35,000 --> 00:00:38,000\ncollective intelligence of managing the", "16\n00:00:38,000 --> 00:00:41,000\ncollective intelligence of AGI, Jensen", "17\n00:00:41,000 --> 00:00:44,000\nHuang stated that human generated", "18\n00:00:44,000 --> 00:00:46,000\nknowledge and human generated data will", "19\n00:00:46,000 --> 00:00:50,000\ntoday be 99%. In about 10 years, it'll", "20\n00:00:50,000 --> 00:00:54,000\nbe probably be 1%. The vast majority of", "21\n00:00:54,000 --> 00:00:56,000\nhuman knowledge will be generated by AI.", "22\n00:00:56,000 --> 00:00:58,000\nIt'll be AI generated data that the", "23\n00:00:58,000 --> 00:01:01,000\nother AIs learn from. It's going to be", "24\n00:01:01,000 --> 00:01:04,000\nsynthetic generated intelligence. That's", "25\n00:01:04,000 --> 00:01:08,000\njust intelligence. It's not a big deal.", "26\n00:01:08,000 --> 00:01:11,000\nIt's just data that the amount of AI", "27\n00:01:11,000 --> 00:01:15,000\ngenerated knowledge is to be incredibly", "28\n00:01:15,000 --> 00:01:17,000\nhigh.", "29\n00:01:17,000 --> 00:01:20,000\nComments from Joan Z10. I respectfully", "30\n00:01:20,000 --> 00:01:22,000\ndisagree with Jensen Huang regarding", "31\n00:01:22,000 --> 00:01:25,000\nsynthetic data. I wrote an article", "32\n00:01:25,000 --> 00:01:27,000\nlinked below seven months ago", "33\n00:01:27,000 --> 00:01:30,000\nanalogizing the danger of synthetic data", "34\n00:01:30,000 --> 00:01:32,000\nto Norman Rockwell's famous painting,", "35\n00:01:32,000 --> 00:01:35,000\nThe Gossips. What may start as a story", "36\n00:01:35,000 --> 00:01:38,000\nabout a cat may end up being about an", "37\n00:01:38,000 --> 00:01:40,000\nelephant after being passed through 15", "38\n00:01:40,000 --> 00:01:43,000\npeople. It's therefore important to", "39\n00:01:43,000 --> 00:01:46,000\nlabel data either as originating from a", "40\n00:01:46,000 --> 00:01:50,000\nsource or as synthetic before being used", "41\n00:01:50,000 --> 00:01:53,000\nto train AI and becoming untraceable to", "42\n00:01:53,000 --> 00:01:56,000\navoid misinformation that can cause", "43\n00:01:56,000 --> 00:01:58,000\ncatastrophes like a financial market", "44\n00:01:58,000 --> 00:02:01,000\nmeltdown. Here's my article. This point", "45\n00:02:01,000 --> 00:02:04,000\nis echoed by a prominent expert in the", "46\n00:02:04,000 --> 00:02:07,000\nAI fintech industry who was also a chief", "47\n00:02:07,000 --> 00:02:10,000\ndata officer at both state and federal", "48\n00:02:10,000 --> 00:02:13,000\ngovernment levels. In the interviews of", "49\n00:02:13,000 --> 00:02:15,000\nnotables and influencers, the", "50\n00:02:15,000 --> 00:02:18,000\nsubheadings about synthetic data speak", "51\n00:02:18,000 --> 00:02:23,000\nfor themselves. At 46 minute 21 seconds,", "52\n00:02:23,000 --> 00:02:26,000\nuntapped synthetic data pose systemic", "53\n00:02:26,000 --> 00:02:30,000\nrisks. Model collapse. The real dangers", "54\n00:02:30,000 --> 00:02:32,000\nfrom AI hallucination", "55\n00:02:32,000 --> 00:02:36,000\nat 49 minutes 56 seconds. Need for", "56\n00:02:36,000 --> 00:02:39,000\nautotagging of synthetic data when it is", "57\n00:02:39,000 --> 00:02:42,000\nbeing generated and used. The danger of", "58\n00:02:42,000 --> 00:02:46,000\ngroup think and we need to have a human", "59\n00:02:46,000 --> 00:02:49,000\nconsensus mechanism and AI governance", "60\n00:02:49,000 --> 00:02:53,000\ncommittee to correct AI's mistakes.", "61\n00:02:53,000 --> 00:02:56,000\nJensen Huang said this about AI. You", "62\n00:02:56,000 --> 00:02:58,000\nwant the smartest friends. You want the", "63\n00:02:58,000 --> 00:03:01,000\nmost productive friends? Go engage AI as", "64\n00:03:01,000 --> 00:03:03,000\nfast as possible because they are super", "65\n00:03:03,000 --> 00:03:05,000\nsuper smart and they are going to help", "66\n00:03:05,000 --> 00:03:08,000\nyou solve problems.", "67\n00:03:08,000 --> 00:03:1
| 317,463
|
|||
For entrepreneurs and business owners, this is a powerful lesson. It's a testament to the value of building meaningful relationships in the business world.
|
Warren Buffett
|
Chairman, Chief Executive Officer & President
| null |
Berkshire Hathaway
|
Warren Buffett I Invest in the Story, and the People Behind It #warrenbuffett #billionaire #money
|
https://www.youtube.com/watch?v=ORjdKiqQLYo
| true
| false
| false
|
["entrepreneurship", "business relationships"]
|
["Warren Buffett"]
|
["Berkshire Hathaway"]
|
Warren Buffett doesn't just look at numbers — he looks at stories. He studies how a business was built, the character of the people ...
|
2025-08-10T08:46:06.103000+00:00
|
00:00:42,000 --> 00:00:51,000
|
2025-08-12T10:45:54.622826+00:00
| 5,093
|
Warren Buffett
| false
| true
| true
| 218
|
BRK-B
| 278,904
| null | 0.91
| 0.85
| 1,698
| true
|
["1\n00:00:00,000 --> 00:00:00,000\nabout numbers. It's about the people,", "2\n00:00:00,000 --> 00:00:02,000\nabout numbers. It's about the people,", "3\n00:00:02,000 --> 00:00:04,000\nthe employees, the customers, and the", "4\n00:00:04,000 --> 00:00:06,000\ncommunities that these businesses serve.", "5\n00:00:06,000 --> 00:00:08,000\nThe test isn't whether you get the", "6\n00:00:08,000 --> 00:00:11,000\ngreatest business idea in the world the", "7\n00:00:11,000 --> 00:00:13,000\nfirst time out. The test is whether you", "8\n00:00:13,000 --> 00:00:16,000\nkeep learning as you go along what your", "9\n00:00:16,000 --> 00:00:17,000\nstrengths are and what you can do for", "10\n00:00:17,000 --> 00:00:19,000\nyour customers, what you can bring", "11\n00:00:19,000 --> 00:00:23,000\nespecially to the party. And to do that,", "12\n00:00:23,000 --> 00:00:27,000\nuh, you need the education that that I", "13\n00:00:27,000 --> 00:00:30,000\nknow you've received, uh, through 10,000", "14\n00:00:30,000 --> 00:00:35,000\nsmall businesses, but you need a genuine", "15\n00:00:35,000 --> 00:00:40,000\na genuine desire day in day out to", "16\n00:00:40,000 --> 00:00:42,000\ndelight the customer.", "17\n00:00:42,000 --> 00:00:44,000\nFor entrepreneurs and business owners,", "18\n00:00:44,000 --> 00:00:46,000\nthis is a powerful lesson. It's a", "19\n00:00:46,000 --> 00:00:47,000\ntestament to the value of building", "20\n00:00:47,000 --> 00:00:49,000\nmeaningful relationships in the business", "21\n00:00:49,000 --> 00:00:51,000\nworld. It's a reminder that success", "22\n00:00:51,000 --> 00:00:52,000\nisn't just about what's in your bank", "23\n00:00:52,000 --> 00:00:57,000\naccount."]
| 322,018
|
End of preview. Expand
in Data Studio
🎙️ CEO Transcripts — Verified Executive Interviews
The World's Largest Database of Verified C-Suite Transcripts
20,000+ Executives · 100,000+ Transcripts · 400,000+ Quotes · S&P 500 + NASDAQ + Global Leaders
🔥 What's In This Sample?
This is a free evaluation sample from CEOInterviews.ai featuring 9 of the most market-moving voices in finance, tech, and policy.
| Executive | Role | Why They Matter |
|---|---|---|
| Jensen Huang | CEO, NVIDIA | Every AI demand signal moves $3T in market cap |
| Jerome Powell | Chair, Federal Reserve | His words move trillions—quants build NLP models on Fed language |
| Elon Musk | CEO, Tesla | Highest search volume globally, 3-hour podcast appearances |
| Warren Buffett | CEO, Berkshire Hathaway | Most famous investor alive, legendary annual meeting Q&As |
| Donald Trump | 45th & 47th President | Most searched political figure globally, 3-hour Rogan appearance, tariff policy signals move markets |
| Mark Zuckerberg | CEO, Meta | Podcast king—Rogan, Fridman, unscripted strategy reveals |
| Jamie Dimon | CEO, JPMorgan | Banking bellwether, "hurricane" recession calls move markets |
| Cathie Wood | CEO, ARK Invest | Retail trader icon, daily commentary on disruptive innovation |
| Ray Dalio | Founder, Bridgewater | Hedge fund legend, macro frameworks every quant knows |
Sample Date Range: 3 months (August — Nov 2025) Full Dataset: 2007-Present (updated daily)
💡 The Problem We Solve
Alpha lives in unguarded moments.
The media playbook for executives has fundamentally shifted:
| Old Playbook | New Reality |
|---|---|
| Scripted earnings calls | 3-hour Joe Rogan podcasts |
| PR-approved press releases | Unscripted Lex Fridman interviews |
| Quarterly investor days | Off-the-cuff conference Q&As |
The signal is there. But it's buried in 10,000+ hours of fragmented audio.
CEOInterviews.ai transforms this chaos into structured, queryable, backtestable data.
🎯 Example: Powell vs Dimon on Recession Risk
Research Question: "What did Jerome Powell and Jamie Dimon say about recession risk in 2022?"
Using Our API:
import requests
API = "https://ceointerviews.ai/api"
headers = {"X-API-Key": "your_api_key"}
powell_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 15847, "keyword": "recession"}, headers=headers).json()
dimon_quotes = requests.get(f"{API}/quotes/", params={"entity_id": 12903, "keyword": "recession"}, headers=headers).json()
for q in powell_quotes["results"][:3]:
print(f"[Powell {q['source_created_at'][:10]}] {q['text'][:150]}...")
for q in dimon_quotes["results"][:3]:
print(f"[Dimon {q['source_created_at'][:10]}] {q['text'][:150]}...")
Sample Output:
[Powell 2022-06-15] "We're not trying to induce a recession now, let's be clear about that.
We're trying to achieve 2% inflation..."
[Dimon 2022-06-01] "You know, I said there's storm clouds but I'm going to change it...
it's a hurricane. Right now, it's kind of sunny, things are doing fine..."
[Powell 2022-09-21] "We have got to get inflation behind us. I wish there were a painless
way to do that. There isn't..."
[Dimon 2022-09-26] "This is serious stuff... it's a different environment than we've ever
seen before... the Fed has to meet this now..."
This is the alpha. Dimon called the "hurricane" 2 weeks before Powell acknowledged pain was coming.
📊 Dataset Schema
Each row is a notable quote with full context about the executive and source video.
| Field | Type | Description |
|---|---|---|
quote_text |
string | The quote itself |
entity_simple_name |
string | Normalized name (e.g., "Jensen Huang") |
entity_title |
string | Job title |
entity_profile_pic_url |
string | Profile image URL |
post_video_thumbnail_url |
string | Video thumbnail URL |
post_appearance_date |
date | When executive actually spoke ⭐ |
company_logo_url |
string | Company logo URL |
entity_institution |
string | Company/organization |
post_title |
string | Video/podcast title |
post_source_url |
string | Original YouTube URL |
quote_is_notable |
bool | AI-flagged as significant |
quote_is_controversial |
bool | AI-flagged as controversial |
quote_is_financial_policy |
bool | Market/policy relevant |
quote_topics |
list | Extracted topics (e.g., ["tariffs", "trade"]) |
quote_entities |
list | People mentioned |
quote_companies |
list | Companies mentioned |
post_description |
string | Video description |
post_source_created_at |
datetime | When video was published |
quote_timestamp_from_tx |
string | Timestamp in video (e.g., 00:01:48,000) |
quote_created_at |
datetime | When we extracted this quote |
entity_id |
int | Executive ID |
entity_name |
string | Full name |
entity_is_politician |
bool | Is a political figure |
entity_is_company_leader |
bool | Is a corporate executive |
entity_is_top_influencer |
bool | High-profile individual |
company_id |
int | Company ID |
company_ticker |
string | Stock ticker (e.g., "NVDA") |
post_id |
int | Source video/transcript ID |
post_appearance_lag_days |
int | Days between appearance and publish |
post_thumbnail_quality_review_score |
float | AI thumbnail verification (0-1) |
post_transcript_quality_review_score |
float | AI transcript verification (0-1) |
post_transcript_length_chars |
int | Transcript length in characters |
post_has_transcript |
bool | Has full transcript available |
transcript_demo_only_request_licensed_access |
list | Transcript preview (first 20 lines) |
quote_id |
int | Unique quote identifier |
⭐ What Makes CEOInterviews Different?
1. Appearance Date Detection
Most datasets only have publish_date. But a podcast uploaded today might contain an interview from 6 months ago.
We detect when the executive actually spoke.
# Example: Interview recorded in January, published in March
{
"publish_date": "2022-03-15", # When YouTube uploaded
"appearance_date": "2022-01-20", # When Buffett actually spoke ⭐
}
This is critical for backtesting. You need to know when the market could have known, not when the video appeared.
2. AI + Human Verification
Every transcript passes through:
- 🤖 Thumbnail Analysis: Is the executive actually in the video?
- 🤖 Transcript Verification: Is this their voice, not dubbed/AI-generated?
- 🤖 Quality Scoring: Is the transcript complete and accurate?
No deepfakes. No dubbing. No secondhand reporting.
3. Structured Quote Extraction
We don't just give you transcripts—we extract the market-moving moments:
{
"text": "We're seeing something we haven't seen in 40 years...",
"is_notable": True,
"is_financial_policy": True,
"topics": ["inflation", "monetary_policy", "fed"],
"timestamp_in_video": "00:23:45"
}
📈 Use Cases
| Use Case | How This Dataset Helps |
|---|---|
| Sentiment Alpha | Backtest NLP signals on Fed language, CEO confidence |
| Event Studies | Measure market reaction to specific statements |
| ESG Tracking | Monitor executive commitments on climate, DEI |
| Competitive Intel | What is Jensen saying about AMD? What is Zuckerberg saying about Apple? |
| Macro Signals | Track Dalio's "changing world order" thesis evolution |
| LLM Fine-tuning | Train models on authentic executive communication |
| Media Analysis | How do CEOs communicate differently on Rogan vs CNBC? |
📊 Sample vs Full Dataset
| Metric | This Sample | Full Dataset |
|---|---|---|
| Executives | 9 | 20,000+ |
| Transcripts | ~1400 | 100,000+ |
| Quotes | ~7,000 | 400,000+ |
| Date Range | 2025 | 2007-Present |
| Updates | Static | Daily |
| API Access | ❌ | ✅ 1,000 req/min |
| Custom Entities | ❌ | ✅ On request |
🔐 Get Full Access
This sample is <1% of our full dataset.
Full Dataset Includes:
- ✅ Every S&P 500 and NASDAQ CEO
- ✅ Global political leaders (Presidents, Prime Ministers, Fed chairs)
- ✅ Top AI founders (Altman, Hassabis, etc.)
- ✅ Legendary investors (Buffett, Dalio, Ackman, Fink)
- ✅ Daily updates
- ✅ RESTful API with full pagination
- ✅ CSV/JSON export for model training
- ✅ White-glove enterprise support
Pricing
| Tier | Price | Best For |
|---|---|---|
| Researcher | $499/mo | Academic research, small teams |
| Professional | Custom | Hedge funds, trading desks |
| Enterprise | Custom | Full API access, custom coverage |
Contact
📧 Email: lucas@ceointerviews.ai
🌐 Website: ceointerviews.ai
📚 API Docs: ceointerviews.ai/api_docs
📜 License
CC-BY-NC-ND-4.0 (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0)
What This Means:
| ✅ Allowed | ❌ Not Allowed |
|---|---|
| Download and evaluate | Commercial use |
| Academic research | Redistribute modified versions |
| Personal projects | Resell or sublicense |
| Cite in papers | Create derivative datasets |
For commercial use, contact lucas@ceointerviews.ai
🛠️ Built By
Lucas Ou-Yang
Former Engineering Manager and Staff ML Engineer @Coinbase, @Tiktok, @Meta superintelligence labs
Building institutional-grade datasets for quantitative research.
📣 Citation
If you use this dataset in research, please cite:
@misc{ceointerviews2024,
author = {Ou-Yang, Lucas},
title = {CEOInterviews.ai: Verified Executive Transcript Dataset},
year = {2024},
publisher = {HuggingFace},
url = {https://huggingface.co/datasets/codelucas/ceo-transcripts-verified-sample}
}
⭐ Star this dataset if you find it useful!
Questions? Reach out at lucas@ceointerviews.ai
- Downloads last month
- 43