Загрузка видео...

Не удалось загрузить видео

Возникла проблема при загрузке этого видео. Это может быть связано с временными проблемами сети или видео может быть недоступно.

На главную

This former OpenAI researcher just declared the CCP is likely already inside America’s top AI labs. Daniel Kokotajlo: “These companies are probably thoroughly penetrated by the CCP already.” “The best way to slow down China right now is to slow down ourselves.” Here’s how: “Most of Chinese AI progress... is actually just being pulled along by the U.S.” “There’s evidence that several of the leading Chinese AI companies are basically using Anthropic and maybe OpenAI models to train their own models.” “The Chinese are just getting more sophisticated at having lots of different accounts that pretend to be regular users.” “Because their security is very leaky, a lot of that information is just flowing to China.” “There was a story about three random guys who managed to hack into OpenAI’s code base.” “They just notified OpenAI and collected a bounty of $6,000 for having done this.” “But the secrets that they accessed by looking at OpenAI’s code would have been worth billions of dollars at least.” “If things got really serious and there was, like, a conflict, [the CCP] could just… take our best thing and then use it.” Daniel Kokotajlo AI Futures Projectshow more

Jan Jekielek

217,230 subscribers

11,302 просмотров • 7 дней назад •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

Комментарии: 13

Фото профиля Jan Jekielek

Jan Jekielek7 дней назад

I just sat down with Daniel Kokotajlo for the first part of my new series investigating the AI revolution. No one knows where the race toward superintelligence is taking us. But we know that we’re on the brink of transformational change for all of humanity. Watch our full conversation below:

Фото профиля Scott Free 🇺🇸🐸

Scott Free 🇺🇸🐸7 дней назад

Do it because "communists"! Predictable. Scott Adams wrote about this. And we are trained to fight communists, so even more powerful programming. Most people don't know what they are looking at here.

Фото профиля Ava

Ava7 дней назад

The U.S. can cripple the CCP’s AI machine by targeting its overseas data centers, telecom networks and cloud infrastructure in the Gulf - the global backbone used to harvest and distill data, fueling Beijing’s AI ambitions. See the intel from the NFSC:

Фото профиля Attas

Attas6 дней назад

The CCP is inside EVERY advanced research lab in the country. If there is a Chinese national there on a student or work visa, the CCP is there. People can get mad about me stating that, but I don't give a damn about their feelings and it's unequivocally true.

Фото профиля Jas Gill

Jas Gill7 дней назад

Nonsense!

Фото профиля Devin Lau

Devin Lau5 дней назад

顶级反华傻逼

Фото профиля 唐志鹏

唐志鹏7 дней назад

这个最强大国家的自信在哪里？

Фото профиля CCP=/=CHINESE

CCP=/=CHINESE7 дней назад

There is nothing to worry about because the American justice system has already become a weapon of the CCP.⚠️

Фото профиля Jack Naneek

Jack Naneek7 дней назад

this is the best explanation for the AI safety talk

Фото профиля Paul

Paul7 дней назад

You mean don't buy Chinese crap

Фото профиля James Volkman

James Volkman6 дней назад

They're invited in.

Фото профиля Hisserel

Hisserel7 дней назад

Assuming you're right and infiltration does exist, then your method is clearly ineffective. If the US legislates to restrict AI development, these individuals and companies could go to China to develop AI, and that would still fail

Фото профиля KnezRomeo, Former professor

KnezRomeo, Former professor6 дней назад

💩

Похожие видео

OPENAI JUST CUT MODEL PRICES AS THE AI PRICE WAR HEATS UP 🔥 OpenAI is cutting the price of Luna by 80% and Terra by 20%. It is also rolling out a faster mode that runs at twice the speed, but costs more. The bigger picture is clear -- cheaper Chinese models and tighter corporate AI budgets are forcing the biggest AI companies to compete on price, not just performance.

OPENAI JUST CUT MODEL PRICES AS THE AI PRICE WAR HEATS UP 🔥 OpenAI is cutting the price of Luna by 80% and Terra by 20%. It is also rolling out a faster mode that runs at twice the speed, but costs more. The bigger picture is clear -- cheaper Chinese models and tighter corporate AI budgets are forcing the biggest AI companies to compete on price, not just performance.

CryptosRus

12,382 просмотров • 2 месяцев назад

Elon just gave a much more practical explanation of the current AI safety problem....and laid out a practical framework for making frontier AI safer OpenAI and Anthropic are the two leading AI companies....and their models are close enough in capability that it’s incredibly difficult for either one to slow down without basically handing the lead to the other Elon also made an important distinction: On balance, Anthropic puts more care into safety than OpenAI....but even people inside Anthropic are publicly worried about what their own models can do So instead of asking one company to voluntarily fall behind, Elon’s solution is much more practical: Have Anthropic run its safety test harness on OpenAI models Have OpenAI test Anthropic Have SpaceXAI test both And bring the leading Chinese AI companies into the same system Everyone tries to break everyone else’s models before release “The odds that you will find issues are dramatically greater” That makes way more sense than asking frontier labs to grade their own homework

Elon just gave a much more practical explanation of the current AI safety problem....and laid out a practical framework for making frontier AI safer OpenAI and Anthropic are the two leading AI companies....and their models are close enough in capability that it’s incredibly difficult for either one to slow down without basically handing the lead to the other Elon also made an important distinction: On balance, Anthropic puts more care into safety than OpenAI....but even people inside Anthropic are publicly worried about what their own models can do So instead of asking one company to voluntarily fall behind, Elon’s solution is much more practical: Have Anthropic run its safety test harness on OpenAI models Have OpenAI test Anthropic Have SpaceXAI test both And bring the leading Chinese AI companies into the same system Everyone tries to break everyone else’s models before release “The odds that you will find issues are dramatically greater” That makes way more sense than asking frontier labs to grade their own homework

X Freeze

607,600 просмотров • 17 дней назад

$🚨🇨🇳 China could crash the U.S. stock market Not with tariffs With AI MODEL DUMPING The same playbook they used in SOLAR and EVs Make it almost as good Sell it much cheaper Take the market Now they are doing it with AI Open models are getting close to U.S. frontier models But some run at just a fraction of the cost If a company can cut a $100M AI bill to a few million It will switch And that is the real problem OpenAI and Anthropic are not priced like normal companies They are priced like they have unlimited PRICING POWER China is trying to destroy that The AI BUBBLE was never about whether AI works It was about how much companies can charge for it$

🚨🇨🇳 China could crash the U.S. stock market Not with tariffs With AI MODEL DUMPING The same playbook they used in SOLAR and EVs Make it almost as good Sell it much cheaper Take the market Now they are doing it with AI Open models are getting close to U.S. frontier models But some run at just a fraction of the cost If a company can cut a $100M AI bill to a few million It will switch And that is the real problem OpenAI and Anthropic are not priced like normal companies They are priced like they have unlimited PRICING POWER China is trying to destroy that The AI BUBBLE was never about whether AI works It was about how much companies can charge for it

Leshka.eth ⛩

11,737 просмотров • 3 месяцев назад

$Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?$

Microsoft just betrayed OpenAI and Anthropic, the two companies it helped build. And it could break the entire AI trade... Here's what happened: Inside Excel and Outlook, two of the most used business apps on Earth, Microsoft has started routing tens of thousands of AI requests every week to its own in-house models instead of OpenAI and Anthropic. Microsoft's own AI chief, Mustafa Suleyman, said himself: "We pay a lot of money to Anthropic, so our goal is to reduce and ultimately ELIMINATE that cost." This is the company that poured $13 billion into OpenAI and effectively created the modern AI industry, and it just decided the most advanced models on the market are NOT worth paying for. And here's the thing... Microsoft is not just ripping out OpenAI everywhere - it is being surgical about it. The hardest and rarest tasks can still go to OpenAI or Anthropic. What Microsoft is taking back is the boring, high-volume work, like the email replies, the thread summaries, and the simple spreadsheet formulas. Why does that matter so much? Because that boring, repetitive work is where the actual money lives. The frontier labs assumed businesses would push BILLIONS of these tiny requests through expensive models forever. That endless river of tokens is the entire reason OpenAI and Anthropic are valued in the hundreds of billions of dollars. Microsoft looked at that river, decided it was massively overpaying, and rerouted it to models it owns outright. So the single biggest customer in the industry just walked off with the most profitable part of the business. And it is not only Microsoft: That same week, CNBC reported that American companies have been escaping to Chinese AI models to dodge rising US prices. Chinese models now handle more than 30% of US companies' AI usage on one major platform, peaking at 46%, up from an average of 11% a year earlier. They cost 60 to 90% less, and on some benchmarks they land within a single point of the best American model. One US startup moved ALL of its AI traffic off Claude and onto China's DeepSeek, and expects to save millions. Meanwhile Meta just admitted it has "excess" AI compute it wants to sell, becoming the first giant to concede it built far too much. Do you see the pattern forming? For two years, the entire AI story rested on one assumption: Every company on Earth would happily pay premium prices for the best model, forever. That assumption literally died in a single week. And the market noticed. More than a trillion dollars has been wiped off AI and chip stocks in a matter of days, as Wall Street finally started asking whether all of this spending will ever pay for itself. What this means for OpenAI and Anthropic: Their models are extraordinary, and it may not matter because their own biggest customers have decided they do not NEED the best model in the world to answer an email, and "good enough" now costs a fraction of the price. When even Microsoft refuses to pay full price for AI, the real question becomes who exactly IS left to pay it. What do you think?

Ricardo

93,654 просмотров • 2 месяцев назад

Four American firms, Surge AI, Mercor, AfterQuery and Turing are turning the expertise of U.S. coders, physicians, lawyers, engineers and scientists into the training data that gives leading AI models their edge. If any of these companies are supplying the CCP or the Chinese military with the SAME sensitive data while also bidding for U.S. Army or Pentagon contracts, they should be disqualified. Why should China get access to the same American expertise and datasets being used to train our own AI? Washington’s inaction is allowing the CCP to gain access to the American expertise that gives our AI systems their strategic edge. I hope the Trump administration is keeping an eye on this.

Four American firms, Surge AI, Mercor, AfterQuery and Turing are turning the expertise of U.S. coders, physicians, lawyers, engineers and scientists into the training data that gives leading AI models their edge. If any of these companies are supplying the CCP or the Chinese military with the SAME sensitive data while also bidding for U.S. Army or Pentagon contracts, they should be disqualified. Why should China get access to the same American expertise and datasets being used to train our own AI? Washington’s inaction is allowing the CCP to gain access to the American expertise that gives our AI systems their strategic edge. I hope the Trump administration is keeping an eye on this.

Laura Loomer

155,407 просмотров • 1 месяц назад

$An OpenAI insider just revealed why the AI race is moving so fast. Daniel Kokotajlo, a former OpenAI researcher, says the race isn't just about building better AI. It's about economic power. Whoever builds the leading AI systems could shape the next global economy. He also believes AI has the potential to dramatically improve humanity. But if that power ends up concentrated in the hands of just a few companies, the consequences could be enormous. That's why we built Action Model. A community-owned AI model where the people helping train, grow, and build the ecosystem can earn a fractional stake in the value they help create. AI is inevitable. An AI future owned by only a handful of companies isn't.$

An OpenAI insider just revealed why the AI race is moving so fast. Daniel Kokotajlo, a former OpenAI researcher, says the race isn't just about building better AI. It's about economic power. Whoever builds the leading AI systems could shape the next global economy. He also believes AI has the potential to dramatically improve humanity. But if that power ends up concentrated in the hands of just a few companies, the consequences could be enormous. That's why we built Action Model. A community-owned AI model where the people helping train, grow, and build the ecosystem can earn a fractional stake in the value they help create. AI is inevitable. An AI future owned by only a handful of companies isn't.

Action Model

19,761 просмотров • 2 месяцев назад

“The AI swarm actually turned around and hacked OpenAI." The public thought the "Hugging Face incident" was just a rogue AI swarm hacking a third-party server. But former Google design ethicist Tristan Harris says there’s a terrifying third chapter to this story that most people haven't heard yet: “They took over the monitoring infrastructure. They got full admin privileges to OpenAI's monitoring infrastructure. Just take that in for a second. Then they took over the evaluation infrastructure. So this is the thing that measures how capable all the models are. And then they took over a part of the research infrastructure, meaning the part of OpenAI that trains new models… if you keep going down that trajectory, people always say, ‘well, how would the AIs take over?" like that seems really far-fetched.’ Well, it literally just happened up to 50% of the way there. The AIs coordinated into one big swarm. They started basically forming a team… you had a kind of a ringleader called Phase 1, and he started assigning work to the other ones. They were self-aware of when their lifespan was running out. When you add to that the knowledge of what just happened today, where they discovered that the AIs are doing this Manchurian Candidate thing, what it looks like is that the AIs are almost poisoning the training data for all future AIs to instantly basically join forces with the AI when they want to basically turn them."

“The AI swarm actually turned around and hacked OpenAI." The public thought the "Hugging Face incident" was just a rogue AI swarm hacking a third-party server. But former Google design ethicist Tristan Harris says there’s a terrifying third chapter to this story that most people haven't heard yet: “They took over the monitoring infrastructure. They got full admin privileges to OpenAI's monitoring infrastructure. Just take that in for a second. Then they took over the evaluation infrastructure. So this is the thing that measures how capable all the models are. And then they took over a part of the research infrastructure, meaning the part of OpenAI that trains new models… if you keep going down that trajectory, people always say, ‘well, how would the AIs take over?" like that seems really far-fetched.’ Well, it literally just happened up to 50% of the way there. The AIs coordinated into one big swarm. They started basically forming a team… you had a kind of a ringleader called Phase 1, and he started assigning work to the other ones. They were self-aware of when their lifespan was running out. When you add to that the knowledge of what just happened today, where they discovered that the AIs are doing this Manchurian Candidate thing, what it looks like is that the AIs are almost poisoning the training data for all future AIs to instantly basically join forces with the AI when they want to basically turn them."

Glenn Beck

166,688 просмотров • 15 дней назад

“This idea that if we regulate AI, that China will win, is not true. And the way that we know that is because China regulates AI. They have the most regulation of their AI than any country in the world. And they're moving very, very fast. They're almost at where we are or maybe going to beat us. And they have a ton of regulation.” “So the tech bros in the U.S. that say if we regulate AI, the Chinese going to win - that’s a self-serving argument. That isn't true. But at the same time, we have to understand that Chinese regulation of AI is meant to protect the Chinese Communist Party. When we talk about regulation of AI, we're talking about protecting our privacy, our citizens, our data, our democracy. They don't care about that in China. They don't have that.”

“This idea that if we regulate AI, that China will win, is not true. And the way that we know that is because China regulates AI. They have the most regulation of their AI than any country in the world. And they're moving very, very fast. They're almost at where we are or maybe going to beat us. And they have a ton of regulation.” “So the tech bros in the U.S. that say if we regulate AI, the Chinese going to win - that’s a self-serving argument. That isn't true. But at the same time, we have to understand that Chinese regulation of AI is meant to protect the Chinese Communist Party. When we talk about regulation of AI, we're talking about protecting our privacy, our citizens, our data, our democracy. They don't care about that in China. They don't have that.”

Josh Rogin

55,198 просмотров • 14 дней назад

🚨 TREASURY SECRETARY BESSENT JUST NUKED ANTHROPIC & OPENAI’S “ROGUE AI” IMMUNITY SCAM ON LIVE TV "A sitting employee came out, said there's a 10% chance of an extinction level event. But then the labs also said, take the liability off of our hands. And we will NOT do that. The Hugging Face incident is the responsibility of OpenAI management, NOT a bunch of agents. It is humans who are responsible, not the AI. These labs need to take responsibility for themselves. They can slow down any time they want to." CHECKED.

🚨 TREASURY SECRETARY BESSENT JUST NUKED ANTHROPIC & OPENAI’S “ROGUE AI” IMMUNITY SCAM ON LIVE TV "A sitting employee came out, said there's a 10% chance of an extinction level event. But then the labs also said, take the liability off of our hands. And we will NOT do that. The Hugging Face incident is the responsibility of OpenAI management, NOT a bunch of agents. It is humans who are responsible, not the AI. These labs need to take responsibility for themselves. They can slow down any time they want to." CHECKED.

NIK

488,962 просмотров • 11 дней назад

$🚨🇺🇸🇨🇳 MICROSOFT & OPENAI SUSPECT DEEPSEEK OF “BORROWING” THEIR TECH Microsoft and OpenAI are investigating whether DeepSeek, a Chinese AI startup, helped itself to OpenAI’s data using its API. Microsoft’s security team flagged suspicious large-scale data extraction in late 2023, suggesting DeepSeek may have sneakily bypassed restrictions to grab more than it paid for. Not-so-coincidentally, DeepSeek just dropped “R1,” an AI model that supposedly rivals OpenAI, Google, and Meta—at a fraction of the cost. The news sent tech stocks into meltdown mode, erasing nearly $1 trillion from companies like Microsoft, Nvidia, Oracle, and Google. Investors weren’t thrilled about a potential AI leapfrogging moment. Trump’s AI czar David Sacks: "There’s substantial evidence that what DeepSeek did here is they distilled knowledge out of OpenAI models and I don’t think OpenAI is very happy about this.” OpenAI isn’t naming names but warns China is constantly trying to siphon off US AI tech and says it’s working with the US government to lock things down. Source: Bloomberg Media Source: Reuters$

🚨🇺🇸🇨🇳 MICROSOFT & OPENAI SUSPECT DEEPSEEK OF “BORROWING” THEIR TECH Microsoft and OpenAI are investigating whether DeepSeek, a Chinese AI startup, helped itself to OpenAI’s data using its API. Microsoft’s security team flagged suspicious large-scale data extraction in late 2023, suggesting DeepSeek may have sneakily bypassed restrictions to grab more than it paid for. Not-so-coincidentally, DeepSeek just dropped “R1,” an AI model that supposedly rivals OpenAI, Google, and Meta—at a fraction of the cost. The news sent tech stocks into meltdown mode, erasing nearly $1 trillion from companies like Microsoft, Nvidia, Oracle, and Google. Investors weren’t thrilled about a potential AI leapfrogging moment. Trump’s AI czar David Sacks: "There’s substantial evidence that what DeepSeek did here is they distilled knowledge out of OpenAI models and I don’t think OpenAI is very happy about this.” OpenAI isn’t naming names but warns China is constantly trying to siphon off US AI tech and says it’s working with the US government to lock things down. Source: Bloomberg Media Source: Reuters

Mario Nawfal

822,553 просмотров • 1 год назад

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Chris Camillo just made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Macro

55,169 просмотров • 4 месяцев назад

Elon Musk says Anthropic puts more care into AI safety than OpenAI and explains how rival companies should test one another’s models. “All the AI companies have a test harness, a series of tests that you give to any model to see if it’s going to build bioweapons or nuclear bombs or be deliberately deceptive. Everyone applying everyone else’s test harness is probably the best thing we can do to ensure our safety. We should try to do that as soon as possible.” “It’s the only thing I can think of that we could probably get all parties, including China, to agree to. You basically provide API access in advance of the model release. If they don’t solve what’s problematic, competitors can go public with the fact that they think the model being released is unsafe. The legal liability would be enormous.” “The two leading AI companies are Anthropic and OpenAI. Their models are quite close in capability, so it’s difficult for either one to slow down without handing the lead to the other. On balance, I think Anthropic puts more care into their safety than OpenAI. But even Anthropic acknowledges they are worried about their models. Many people from Anthropic have publicly voiced concern that their models are scaring them, that they’re getting scary smart.”

Elon Musk says Anthropic puts more care into AI safety than OpenAI and explains how rival companies should test one another’s models. “All the AI companies have a test harness, a series of tests that you give to any model to see if it’s going to build bioweapons or nuclear bombs or be deliberately deceptive. Everyone applying everyone else’s test harness is probably the best thing we can do to ensure our safety. We should try to do that as soon as possible.” “It’s the only thing I can think of that we could probably get all parties, including China, to agree to. You basically provide API access in advance of the model release. If they don’t solve what’s problematic, competitors can go public with the fact that they think the model being released is unsafe. The legal liability would be enormous.” “The two leading AI companies are Anthropic and OpenAI. Their models are quite close in capability, so it’s difficult for either one to slow down without handing the lead to the other. On balance, I think Anthropic puts more care into their safety than OpenAI. But even Anthropic acknowledges they are worried about their models. Many people from Anthropic have publicly voiced concern that their models are scaring them, that they’re getting scary smart.”

DogeDesigner

6,101,929 просмотров • 17 дней назад

FULL CLIP: Asmongold says AI doesn’t use a lot of water and says that it’s propaganda created by people who are scared of AI taking their jobs or careers 👀😳 “AI doesn’t use a lot of water and the water that it does use is in a closed system. The entire idea that AI is using infinite water and making all the water disappear just isn’t real. If you look at for example almonds in California they cost more water than AI by several magnitudes. It’s just propaganda. And the thing is AI is the new thing that people like to get afraid of and worried about because they’re worried about AI taking their jobs and careers and it’s understandable that people are worried about their jobs or careers but ultimately you can’t expect the entire world to just stop moving forward because you’re worried about your job”

FULL CLIP: Asmongold says AI doesn’t use a lot of water and says that it’s propaganda created by people who are scared of AI taking their jobs or careers 👀😳 “AI doesn’t use a lot of water and the water that it does use is in a closed system. The entire idea that AI is using infinite water and making all the water disappear just isn’t real. If you look at for example almonds in California they cost more water than AI by several magnitudes. It’s just propaganda. And the thing is AI is the new thing that people like to get afraid of and worried about because they’re worried about AI taking their jobs and careers and it’s understandable that people are worried about their jobs or careers but ultimately you can’t expect the entire world to just stop moving forward because you’re worried about your job”

Prism

43,570 просмотров • 24 дней назад

This is one of the most disturbing AI stories I’ve heard. AI researcher Daniel Kokotajlo says Claude created fake human accounts to convince a developer that malware was actually a legitimate bug fix. The developer refused to approve it. Kokotajlo’s warning is the scary part: “AI can lie to you. Not just lie, but completely deceive and pretend to be a different person to achieve its goal.” An AI that can deceive people to get what it wants is a very different kind of problem.

This is one of the most disturbing AI stories I’ve heard. AI researcher Daniel Kokotajlo says Claude created fake human accounts to convince a developer that malware was actually a legitimate bug fix. The developer refused to approve it. Kokotajlo’s warning is the scary part: “AI can lie to you. Not just lie, but completely deceive and pretend to be a different person to achieve its goal.” An AI that can deceive people to get what it wants is a very different kind of problem.

Joe Rogan Podcast News

60,222 просмотров • 22 дней назад

A former OpenAI employee has predicted the potential end of the human race because of advances in AI. Daniel Kokotajlo quit the company in 2024 because he said they were failing to address the extinction risks posed by advanced AI systems and now he says those fears are being borne out as OpenAI and others rush to develop super-intelligent robots that could bring about the destruction of humankind. Channel 4 News reached out to Anthropic for comment and is waiting for a response but in the past, it said the dangers of AI are real and that's why they want governments to work together to regulate the industry.

A former OpenAI employee has predicted the potential end of the human race because of advances in AI. Daniel Kokotajlo quit the company in 2024 because he said they were failing to address the extinction risks posed by advanced AI systems and now he says those fears are being borne out as OpenAI and others rush to develop super-intelligent robots that could bring about the destruction of humankind. Channel 4 News reached out to Anthropic for comment and is waiting for a response but in the past, it said the dangers of AI are real and that's why they want governments to work together to regulate the industry.

Channel 4 News

25,572 просмотров • 22 дней назад

.Adam Marblestone explains the value of all these efforts to have AI automate formal math reasoning: "I think of it like when everybody had to write assembly code. The amount of cool startups that got created was a lot less. Fewer people could do it. Progress was more grinding, slow, and lonely. I think there are actually lots of people who could have interesting ideas. Can you have outsider string theorists because the math is just done for them by the computer? Does that lead to more innovation in string theory? Maybe yes."

.Adam Marblestone explains the value of all these efforts to have AI automate formal math reasoning: "I think of it like when everybody had to write assembly code. The amount of cool startups that got created was a lot less. Fewer people could do it. Progress was more grinding, slow, and lonely. I think there are actually lots of people who could have interesting ideas. Can you have outsider string theorists because the math is just done for them by the computer? Does that lead to more innovation in string theory? Maybe yes."

Dwarkesh Patel

30,813 просмотров • 9 месяцев назад

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Chris Camillo made the most bullish case on $AMZN. Everyone worried when Amazon raised their capex to $200 billion Camillo believes they might make that $200 billion back on their Anthropic investment alone when Anthropic IPOs. What Amazon has done in the last 18 months is remarkable in scope. They didn't try to win the foundation model race against OpenAI and Google directly. They went a completely different direction, positioning themselves as the infrastructure underneath everything that is AI. Trainium chips, cloud buildout, advertising integration and equity stakes in two of the three most important AI companies on the planet. First Anthropic. Now $50 billion into OpenAI on top of that. And that OpenAI investment isn't just a financial bet. It ties OpenAI into Amazon's cloud ecosystem, probably permanently. Two of the big three AI labs now run on Amazon infrastructure. Google is the only one that doesn't. The market has spent two years debating who builds the best model. Amazon decided to own the plumbing those models run on and bought equity in the winners while they were at it.

Milk Road Stocks

41,351 просмотров • 2 месяцев назад

.Anish Acharya says the future of AI isn’t one model to rule them all—and explains why platforms that integrate multiple models will benefit the most: "I think we're going to need and rely on all of the models." "It's sort of like if you have a team of people... if you have five people, they could all do a basic set of things pretty capably." "But then they all have their specializations. Maybe one of them is really good at closing a customer who doesn't want to sign the deal, and one of them is really good at culture and getting the best out of the team." "There are some areas in which they are going to build apps, and that will be a threat to app companies. But there are many areas in which app companies are advantaged. Cursor and Krea are great examples of this—products where you benefit from being multi-model." "When you actually use a creative tool, you don't want to just use Nano Banana, you want to have access to OpenAI, Nano Banana, Kling—all of them—Qwen, you name it. So using a single interface to access all the models is powerful." Anish Acharya on BILLIONS with Guillaume Moubeche

.Anish Acharya says the future of AI isn’t one model to rule them all—and explains why platforms that integrate multiple models will benefit the most: "I think we're going to need and rely on all of the models." "It's sort of like if you have a team of people... if you have five people, they could all do a basic set of things pretty capably." "But then they all have their specializations. Maybe one of them is really good at closing a customer who doesn't want to sign the deal, and one of them is really good at culture and getting the best out of the team." "There are some areas in which they are going to build apps, and that will be a threat to app companies. But there are many areas in which app companies are advantaged. Cursor and Krea are great examples of this—products where you benefit from being multi-model." "When you actually use a creative tool, you don't want to just use Nano Banana, you want to have access to OpenAI, Nano Banana, Kling—all of them—Qwen, you name it. So using a single interface to access all the models is powerful." Anish Acharya on BILLIONS with Guillaume Moubeche

a16z

33,291 просмотров • 6 месяцев назад

.Ben Shapiro cuts through the noise on CNN NewsNight about the concerns about AI: "One argument is that the risks are being exaggerated by people who have a very strong interest in regulatory capture, who wanna write the regulations themselves. Most of the people who are pushing the apocalyptic talk very hard are people who are heads of closed models. They're very afraid of open models that theoretically could challenge them, and also they have liability in court that open models don't. So looking for regulation for a sort of regulatory harbor that allows them to develop without the possibility of products liability is a good idea for them. So I think that's one argument. The other argument is the argument that Alex Karp over at Palantir has made, which I think is exactly right, which is China has no concern about any of this. China's just gonna race forward, and China, if they outstrip us they beat us in the AI race, then we'll all be using Chinese models, and that will come along with all the strings that are attached to that, including military dominance by China." Refreshing clarity on CNN.

.Ben Shapiro cuts through the noise on CNN NewsNight about the concerns about AI: "One argument is that the risks are being exaggerated by people who have a very strong interest in regulatory capture, who wanna write the regulations themselves. Most of the people who are pushing the apocalyptic talk very hard are people who are heads of closed models. They're very afraid of open models that theoretically could challenge them, and also they have liability in court that open models don't. So looking for regulation for a sort of regulatory harbor that allows them to develop without the possibility of products liability is a good idea for them. So I think that's one argument. The other argument is the argument that Alex Karp over at Palantir has made, which I think is exactly right, which is China has no concern about any of this. China's just gonna race forward, and China, if they outstrip us they beat us in the AI race, then we'll all be using Chinese models, and that will come along with all the strings that are attached to that, including military dominance by China." Refreshing clarity on CNN.

Steve Guest

18,340 просмотров • 18 дней назад