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I agree with Congressman Michael McCaul Michael McCaul on this issue. As I recently discussed on Loomer Unleashed a couple weeks ago, four American firms, Surge AI Surge AI, Mercor Mercor, AfterQuery AfterQuery, and Turing Turing are turning the expertise of U.S. coders, physicians, lawyers, engineers and scientists into...

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Laura Loomer

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46,588 просмотров • 8 часов назад •via X (Twitter)

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How is this even being allowed? Surge AI Surge AI CEO Edwin Chen echen reportedly traveled to China to meet with Chinese AI executives while his firm is also trying to work with the U.S. Army and U.S. Air Force. U.S. Army Secretary of the Army The CCP controls everything in China. This should be triggering MASSIVE congressional scrutiny and national security investigations. America cannot win the AI race while U.S. AI companies are exposing themselves and the US government to Chinese subversion. American AI companies should be forced to make a choice: Work with the US government or work with the CCP and Chinese military. You cannot do both. It’s literally treasonous. I really hope Congress and the Department of War 🇺🇸 are paying attention to this.
2:36

How is this even being allowed? Surge AI Surge AI CEO Edwin Chen echen reportedly traveled to China to meet with Chinese AI executives while his firm is also trying to work with the U.S. Army and U.S. Air Force. U.S. Army Secretary of the Army The CCP controls everything in China. This should be triggering MASSIVE congressional scrutiny and national security investigations. America cannot win the AI race while U.S. AI companies are exposing themselves and the US government to Chinese subversion. American AI companies should be forced to make a choice: Work with the US government or work with the CCP and Chinese military. You cannot do both. It’s literally treasonous. I really hope Congress and the Department of War 🇺🇸 are paying attention to this.

Laura Loomer

247,263 просмотров • 17 дней назад

You can go to FEDERAL PRISON for smuggling restricted AI chips into China, but selling China the sophisticated human-derived training data and expertise that makes its AI models competitive faces no comparable legal consequence. How does that make any sense? If data is the final frontier of AI, Washington is leaving a GAPING loophole wide open for the CCP to beat the US when it comes to AI dominance. That loophole could be big enough for China to drive its entire AI catch-up strategy through. I hope the Trump administration has a plan to combat this…
2:03

You can go to FEDERAL PRISON for smuggling restricted AI chips into China, but selling China the sophisticated human-derived training data and expertise that makes its AI models competitive faces no comparable legal consequence. How does that make any sense? If data is the final frontier of AI, Washington is leaving a GAPING loophole wide open for the CCP to beat the US when it comes to AI dominance. That loophole could be big enough for China to drive its entire AI catch-up strategy through. I hope the Trump administration has a plan to combat this…

Laura Loomer

153,930 просмотров • 17 дней назад

“Rafales and missiles are useless unless you have software that leverages their delivery. So we must invest in AI. The 12 models Mr Vaishnaw has created, three or four should go to the military because our data cannot be shared in the civil stream. We need exclusive LLMs. On those LLMs, put 50 solid data engineers. An additional secretary doing AI or a major general doing AI is pointless, he doesn’t understand AI. Someone with real AI expertise has to come in and be told: this is our data, these are our combat plans, now leverage them.” Lt Gen Raj Shukla (Retd) on what the Indian defence industry should focus on. Watch Full Episode Here:
5:12

“Rafales and missiles are useless unless you have software that leverages their delivery. So we must invest in AI. The 12 models Mr Vaishnaw has created, three or four should go to the military because our data cannot be shared in the civil stream. We need exclusive LLMs. On those LLMs, put 50 solid data engineers. An additional secretary doing AI or a major general doing AI is pointless, he doesn’t understand AI. Someone with real AI expertise has to come in and be told: this is our data, these are our combat plans, now leverage them.” Lt Gen Raj Shukla (Retd) on what the Indian defence industry should focus on. Watch Full Episode Here:

ANI

154,712 просмотров • 5 месяцев назад

Today, Mistral AI and Microsoft are expanding our partnership to bring Mistral’s frontier models across Azure, Microsoft Foundry, Copilot Studio, and Azure Local. Europe should have access to the world’s most capable AI without compromising control over their data, operations, or digital future. By bringing Mistral’s frontier European models into our environment, we are providing customers with a trusted foundation for AI, one that offers both leading-edge innovation and the freedom to operate on their own terms. Learn more:
1:23

Today, Mistral AI and Microsoft are expanding our partnership to bring Mistral’s frontier models across Azure, Microsoft Foundry, Copilot Studio, and Azure Local. Europe should have access to the world’s most capable AI without compromising control over their data, operations, or digital future. By bringing Mistral’s frontier European models into our environment, we are providing customers with a trusted foundation for AI, one that offers both leading-edge innovation and the freedom to operate on their own terms. Learn more:

Brad Smith

316,884 просмотров • 1 месяц назад

Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they rely on generic models built to be good at everything. They worry about AI costs, yet pay premium prices for massive models where only a fraction (1%) of the intelligence is relevant to their task. 💸 And they demand control and sovereignty, yet rent the intelligence becoming core to their business. This is not a sustainable equilibrium. The next era of enterprise AI is specialized intelligence companies build, own, and compound. And we are at the inflection point of this transition. That’s the bet we made when we started Oumi two years ago. Today we’re closing the loop: Oumi can now not only automatically build your specialized AI models, but also deploy them into production, learn from their production experience, and continuously improve them. The intelligence that your business runs on, becomes your differentiator. Your compounding advantage. The winners of the next AI era will turn their own data, expertise, and experience into specialized intelligence that nobody else can rent. Don’t rent your AI. Build it. Own it. Compound it.
0:43

Enterprise AI is in a wildly paradoxical state 🤔, and we’re reaching the inflection point that will resolve it. 💥 Enterprises want to differentiate with AI, yet rent the same intelligence as their competitors. Their workflows and expertise are highly specialized, yet they rely on generic models built to be good at everything. They worry about AI costs, yet pay premium prices for massive models where only a fraction (1%) of the intelligence is relevant to their task. 💸 And they demand control and sovereignty, yet rent the intelligence becoming core to their business. This is not a sustainable equilibrium. The next era of enterprise AI is specialized intelligence companies build, own, and compound. And we are at the inflection point of this transition. That’s the bet we made when we started Oumi two years ago. Today we’re closing the loop: Oumi can now not only automatically build your specialized AI models, but also deploy them into production, learn from their production experience, and continuously improve them. The intelligence that your business runs on, becomes your differentiator. Your compounding advantage. The winners of the next AI era will turn their own data, expertise, and experience into specialized intelligence that nobody else can rent. Don’t rent your AI. Build it. Own it. Compound it.

Manos Koukoumidis

1,000,164 просмотров • 21 дней назад

Asked by Ben Smith about how he views the politics of AI and the data center build out, Governor Josh Shapiro says: "AI is being developed. The real question is, is it going to be developed here in the US or in communist China? My view is that all of us should want it developed in the US. The US should lead on this. This is a national security issue. I think this is an issue that threatens our freedom if we allow China to overtake us when it comes to AI development."
2:36

Asked by Ben Smith about how he views the politics of AI and the data center build out, Governor Josh Shapiro says: "AI is being developed. The real question is, is it going to be developed here in the US or in communist China? My view is that all of us should want it developed in the US. The US should lead on this. This is a national security issue. I think this is an issue that threatens our freedom if we allow China to overtake us when it comes to AI development."

Semafor

99,123 просмотров • 8 месяцев назад

Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.
0:24

Your data is your edge, but only if your AI is built on it. Rent a generic model and so can your competitor. The companies with an edge are deploying custom models that they own and improve over time. Our co-founder Rhythm Garg recently stopped by to share how companies are owning their intelligence with Applied Compute.

Applied Compute

119,306 просмотров • 3 месяцев назад

Palantir CTO Shyam Sankar says Chinese open source models pose a "threat to American Prosperity": "These Chinese open source models are really the result of distillation attacks." "Most of this is just stolen American IP from frontier labs, and I think the frontier labs should do more to protect that IP, and that's in their own economic interest." "The gravest threat to us is not homicide, it's suicide." "It's an inability to turn these tokens into economic value and generate American prosperity for it." "You see that with the proposed moratorium in New York on data centers. Turning our back on AI would be as consequential a mistake as turning our back on the atom in the '70s." "It's just the beginning, but we're starting to see a burgeoning US open model ecosystem forming." "NVIDIA's Nemotron models are very good." "I think you're going to see in the next month a slate of announcements of other American companies, non-frontier labs, neo labs, who are putting out open weight models that companies are going to be able to cheaply fine-tune and capture their own alpha in weights they control." Via Bloomberg
1:21

Palantir CTO Shyam Sankar says Chinese open source models pose a "threat to American Prosperity": "These Chinese open source models are really the result of distillation attacks." "Most of this is just stolen American IP from frontier labs, and I think the frontier labs should do more to protect that IP, and that's in their own economic interest." "The gravest threat to us is not homicide, it's suicide." "It's an inability to turn these tokens into economic value and generate American prosperity for it." "You see that with the proposed moratorium in New York on data centers. Turning our back on AI would be as consequential a mistake as turning our back on the atom in the '70s." "It's just the beginning, but we're starting to see a burgeoning US open model ecosystem forming." "NVIDIA's Nemotron models are very good." "I think you're going to see in the next month a slate of announcements of other American companies, non-frontier labs, neo labs, who are putting out open weight models that companies are going to be able to cheaply fine-tune and capture their own alpha in weights they control." Via Bloomberg

Jawwwn

180,421 просмотров • 1 месяц назад

Following the release of Kimi K3, tylercowen explains why trying to ban Chinese open-source AI models is a losing strategy and that American companies should compete instead. "Open source is coming and is here, whether we like it or not. Of course, a lot of it will be from China. We should allow American competitors to proceed on an even footing. But the attempt to outlaw it, ban it, or use sanctions against it is going to fail miserably.” "I plead that the Trump administration gives up on this crusade. It will not work."
0:46

Following the release of Kimi K3, tylercowen explains why trying to ban Chinese open-source AI models is a losing strategy and that American companies should compete instead. "Open source is coming and is here, whether we like it or not. Of course, a lot of it will be from China. We should allow American competitors to proceed on an even footing. But the attempt to outlaw it, ban it, or use sanctions against it is going to fail miserably.” "I plead that the Trump administration gives up on this crusade. It will not work."

TBPN

138,212 просмотров • 1 месяц назад

BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation. Inside The $2.2B AI Research Accelerator, Turing Founder & CEO, Jonathan Siddharth (), joins Sourcery to break down the severe power shift in AI training: from commodity data labeling → expert research Positioning Turing apart from AI data providers like Scale AI, Mercor, & Surge. (00:00) AI Ate The Internet (00:49) Training Superintelligence: the race to AGI (02:31) Viral tweet (03:24) What Turing actually does (04:43) The internet data is “used up” — where will new data come from? (05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding (06:07) Automating $30T of global knowledge work (09:18) The $1B revenue opportunity (10:59) Why Turing is a research-first accelerator, not a data labeler (13:45) Jonathan’s Stanford AI Lab roots & founding DNA (17:57) How models are built: pre-training vs. post-training (20:14) RLHF, reinforcement learning, & “breaking the models” (25:19) GPT-5 and the myth of rapid takeoff (30:46) Safety debates and human-in-the-loop systems (34:53) Closing Enterprise Gap: finance, insurance, & pharma (39:23) Why proprietary enterprise data is the next moat in AI
49:29

BREAKING: AI has eaten the Internet. Data labeling is so over. & $30 trillion of human work is on the verge of automation. Inside The $2.2B AI Research Accelerator, Turing Founder & CEO, Jonathan Siddharth (), joins Sourcery to break down the severe power shift in AI training: from commodity data labeling → expert research Positioning Turing apart from AI data providers like Scale AI, Mercor, & Surge. (00:00) AI Ate The Internet (00:49) Training Superintelligence: the race to AGI (02:31) Viral tweet (03:24) What Turing actually does (04:43) The internet data is “used up” — where will new data come from? (05:34) Four pillars of superintelligence: multimodality, reasoning, tool use, coding (06:07) Automating $30T of global knowledge work (09:18) The $1B revenue opportunity (10:59) Why Turing is a research-first accelerator, not a data labeler (13:45) Jonathan’s Stanford AI Lab roots & founding DNA (17:57) How models are built: pre-training vs. post-training (20:14) RLHF, reinforcement learning, & “breaking the models” (25:19) GPT-5 and the myth of rapid takeoff (30:46) Safety debates and human-in-the-loop systems (34:53) Closing Enterprise Gap: finance, insurance, & pharma (39:23) Why proprietary enterprise data is the next moat in AI

Molly O’Shea

70,007 просмотров • 10 месяцев назад

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."
2:16

Alex on why AI drug discovery companies need to generate novel data to succeed: "AI models based on the research that's available is a lot of garbage in and garbage out." "A lot of the recorded literature is actually incorrect. There's been tons of studies that show if you go try to replicate the experiments that are in the literature, you don't even get the same results." "The AI companies that I believe are gonna be most set up for success are the companies with a novel way to generate science tokens that don't exist in the public domain."

Patrick OShaughnessy

126,646 просмотров • 4 месяцев назад

#WATCH | Idukki, Kerala | Interacting with students of Marian College Kuttikkanam (Autonomous), Lok Sabha LoP Rahul Gandhi says, "Actually India is not successful at AI... There are two players in the AI game. The United States and China. India, unfortunately, whether it is in robotics, or Ai, or modern technology, is not really a major player. Certainly, when compared to the US or China. You saw that in the AI Summit itself, a Chinese robot was masquerading as an Indian robot. If you want to be powerful at AI, you have to control your own data... The US deal that has just been done by the Prime Minister has handed over our entire data to the United States... We have damaged our potential in AI tremendously over the last couple of weeks... Jobs in the services and software industry, which were the mainstay of our country, are going to be wiped out by AI. I am worried that a transition is taking place on the data, manufacturing, and mobility front, and we are just looking..." (Source: Marian College Kuttikkanam Official)
6:29

#WATCH | Idukki, Kerala | Interacting with students of Marian College Kuttikkanam (Autonomous), Lok Sabha LoP Rahul Gandhi says, "Actually India is not successful at AI... There are two players in the AI game. The United States and China. India, unfortunately, whether it is in robotics, or Ai, or modern technology, is not really a major player. Certainly, when compared to the US or China. You saw that in the AI Summit itself, a Chinese robot was masquerading as an Indian robot. If you want to be powerful at AI, you have to control your own data... The US deal that has just been done by the Prime Minister has handed over our entire data to the United States... We have damaged our potential in AI tremendously over the last couple of weeks... Jobs in the services and software industry, which were the mainstay of our country, are going to be wiped out by AI. I am worried that a transition is taking place on the data, manufacturing, and mobility front, and we are just looking..." (Source: Marian College Kuttikkanam Official)

ANI

133,184 просмотров • 5 месяцев назад

Lee Jae-myung’s administration promised to ease regulations on American companies as part of a trade deal, but instead fined Coupang $410 million while fining Chinese company Temu less than $1 million for a massive data breach. This is not fair enforcement. It is protectionism that targets American businesses while giving Chinese companies a pass, even as they steal Korean data and intellectual property. China advances its interests aggressively. Korea should do the same instead of pretending that allowing foreign nationals to exploit the system is simply being humane. American companies deserve the same protection that Korea demands for its own.
3:30

Lee Jae-myung’s administration promised to ease regulations on American companies as part of a trade deal, but instead fined Coupang $410 million while fining Chinese company Temu less than $1 million for a massive data breach. This is not fair enforcement. It is protectionism that targets American businesses while giving Chinese companies a pass, even as they steal Korean data and intellectual property. China advances its interests aggressively. Korea should do the same instead of pretending that allowing foreign nationals to exploit the system is simply being humane. American companies deserve the same protection that Korea demands for its own.

Kangmin Lee | 이강민

11,669 просмотров • 1 месяц назад

America has the edge in the world’s most powerful AI models, no question. But China is playing a different game: efficiency, scale, and global deployment. Kyle Chan from Brookings China explains: "Does winning mean developing the world's most powerful AI models? If yes, then the us has the decisive lead. American ai models are widely recognized as the best in the world on virtually every metric you can think of, from math and reasoning to coding and AI agents, American private companies continue to set the pace at the technological frontier supported by deep capital markets, a dynamic innovation ecosystem, and the best talent from around the world. China's AI models are improving quickly but continue to lag behind. Chinese AI companies face real constraints on compute due to our export controls and their own limited capital resources, so instead they're prioritizing other goals. They're focused on efficiency, building models that are cheaper to train and run. They're focused on adoption using an open source strategy to win users around the world, and they're focused on integration with other platforms and services. On sheer performance, I would expect the gap between our models and theirs to persist or even widen over time. But model performance is not everything."
1:10

America has the edge in the world’s most powerful AI models, no question. But China is playing a different game: efficiency, scale, and global deployment. Kyle Chan from Brookings China explains: "Does winning mean developing the world's most powerful AI models? If yes, then the us has the decisive lead. American ai models are widely recognized as the best in the world on virtually every metric you can think of, from math and reasoning to coding and AI agents, American private companies continue to set the pace at the technological frontier supported by deep capital markets, a dynamic innovation ecosystem, and the best talent from around the world. China's AI models are improving quickly but continue to lag behind. Chinese AI companies face real constraints on compute due to our export controls and their own limited capital resources, so instead they're prioritizing other goals. They're focused on efficiency, building models that are cheaper to train and run. They're focused on adoption using an open source strategy to win users around the world, and they're focused on integration with other platforms and services. On sheer performance, I would expect the gap between our models and theirs to persist or even widen over time. But model performance is not everything."

Select Committee on China

60,135 просмотров • 4 месяцев назад

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries
0:59

As Larry Ellison explains, there are two types of AI models: real-time models, also called AI on the edge, where you need ultra-low latency decisions (think autonomous driving or robotics), and models that don’t need an immediate response, like ChatGPT, where the system has time to reason. Real-time models require local compute inside the device, and these chips have nothing to do with the GPUs running in data centers. The AI-on-the-edge market is still largely untapped — and it’s going to be a multi-trillion-dollar opportunity. I believe $AMD will be one of the biggest beneficiaries

Daniel

151,698 просмотров • 8 месяцев назад

Can you believe this is a US NAVY Recruiting Office in Alhambra, CA? EVERY recruiter here is Chinese, as well as all the people coming to enlist. The working language here is also Chinese. The video was filmed by a Chinese language YouTuber, and the US NAVY recruiter who took him there to film all this is EN2 QLANG WANG. In the description box of this video on YouTube, which was uploaded on Dec 1, 2024, QLANG WANG's contact information is provided, and what concerns me is that the first option listed is his WeChat ID. The telephone number of the office comes as the second choice. As all data on WeChat is controlled by the CCP, this at least gives the CCP access to the personal data of all those who apply to join the US NAVY and who are admitted. The second question is: Why is this office staffed exclusively by Chinese individuals? The other day, I shared a video where a Chinese-American military member said that if the US goes to war with China, he would quit the US army because he doesn't want to fight against China. If all these Chinese people recruited through this office feel the same, what will happen? And a worse-case scenario is: What if some of them are recruited by the CCP as spies? Or perhaps they already are spies? One thing I am sure of, from listening to their accent, is that they all come from mainland China, everyone in this video. And the title of the original Chinese language video is: "How Desperate Are Chinese People to Join the US Military? They're Overwhelming Recruitment Offices, Each with Their Own Reasons for Enlisting" The Chinese word used is "中國人", which can be translated as Chinese people, or more precisely, people from PRC, or people of PRC. In the mind or subconsciousness of the YouTuber who shot this video, all these people still belong to the PRC.
6:07

Can you believe this is a US NAVY Recruiting Office in Alhambra, CA? EVERY recruiter here is Chinese, as well as all the people coming to enlist. The working language here is also Chinese. The video was filmed by a Chinese language YouTuber, and the US NAVY recruiter who took him there to film all this is EN2 QLANG WANG. In the description box of this video on YouTube, which was uploaded on Dec 1, 2024, QLANG WANG's contact information is provided, and what concerns me is that the first option listed is his WeChat ID. The telephone number of the office comes as the second choice. As all data on WeChat is controlled by the CCP, this at least gives the CCP access to the personal data of all those who apply to join the US NAVY and who are admitted. The second question is: Why is this office staffed exclusively by Chinese individuals? The other day, I shared a video where a Chinese-American military member said that if the US goes to war with China, he would quit the US army because he doesn't want to fight against China. If all these Chinese people recruited through this office feel the same, what will happen? And a worse-case scenario is: What if some of them are recruited by the CCP as spies? Or perhaps they already are spies? One thing I am sure of, from listening to their accent, is that they all come from mainland China, everyone in this video. And the title of the original Chinese language video is: "How Desperate Are Chinese People to Join the US Military? They're Overwhelming Recruitment Offices, Each with Their Own Reasons for Enlisting" The Chinese word used is "中國人", which can be translated as Chinese people, or more precisely, people from PRC, or people of PRC. In the mind or subconsciousness of the YouTuber who shot this video, all these people still belong to the PRC.

Inconvenient Truths — Jennifer Zeng Reports

2,633,577 просмотров • 1 год назад