Loading video...

Video Failed to Load

There was a problem loading this video. This could be due to a temporary network issue or the video might be unavailable.

As AI systems grow more capable, it is “not hypothetical” that AI could potentially abet biological weapons development, says Johns Hopkins professor and adviser to Anthropic, Ben Buchanan, calling it a “legitimate concern.” “They can do expert tasks in a wide variety of areas, not just in cyber, also... show more

Face The Nation

512,119 subscribers

32,058 views • 1 month ago •via X (Twitter)

Health & Wellness Science & Technology

Anya Rossi• Live Now

Private livecam show

0 Comments

No comments available

Comments from the original post will appear here

Related Videos

CBS News contributor Chris Krebs, who ran CISA in the first Trump administration, and Ben Buchanan, who advised President Biden and is now a professor at Johns Hopkins and an adviser to Anthropic, joined Margaret Brennan to discuss whether the government should regulate AI — and if so, how.

CBS News contributor Chris Krebs, who ran CISA in the first Trump administration, and Ben Buchanan, who advised President Biden and is now a professor at Johns Hopkins and an adviser to Anthropic, joined Margaret Brennan to discuss whether the government should regulate AI — and if so, how.

Face The Nation

57,431 views • 1 month ago

Mira Murati defines AGI and says we now have AI systems that are capable of PhD-level performance and in a very short time we will have human-level AI across all cognitive tasks in what she describes as a "spiritual mission"

Mira Murati defines AGI and says we now have AI systems that are capable of PhD-level performance and in a very short time we will have human-level AI across all cognitive tasks in what she describes as a "spiritual mission"

Tsarathustra

140,318 views • 1 year ago

Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”

Palantir CEO Alex Karp says people think we’re in an AI bubble because a lot of AI just doesn’t work: “If you just buy LLMs off the shelf and try to do any of this, it won’t work.” “It’s not precise enough. You can’t do underwriting. You can’t do these things that are regulated.” “People have tried things that just can never work. You buy a LLM, put it on your stack, and wonder why it’s not working.” “What you’re going to see, especially in America, is people trying to do something like Ontology by hand.” “Once you build a software layer to orchestrate and manage the LLMs in a language your enterprise understands, you actually can create value.” “There’s a lot of discussion on if we’re in an AI bubble. What is the meaning of this bubble? If anything, we’re just in a lag. There’s a lot of AI, some of it works.” “Go back to the battlefield context: everybody in the world assumed this would not work. But now it does work. Now the question is, ‘How can I get it to work for my country?’” “Palantir barely has a sales force. In fact, it seems to be getting smaller and smaller every time I go see them.”

Jawwwn

695,318 views • 5 months ago

Anthropic has created an AI model that “can get into almost any software in the world,” former AI company founder and CEO Matt Shumer says — but the company is not releasing it to the public: “I have never seen something like this — a company that is about to IPO and having such a moral compass.” Shumer shares what makes the AI model so powerful and potentially dangerous.

Anthropic has created an AI model that “can get into almost any software in the world,” former AI company founder and CEO Matt Shumer says — but the company is not releasing it to the public: “I have never seen something like this — a company that is about to IPO and having such a moral compass.” Shumer shares what makes the AI model so powerful and potentially dangerous.

CBS Mornings

98,756 views • 3 months ago

Sergey Brin says we're asking the wrong question about AI It's not just "can it do what humans do?", it's "what can it do that humans cannot do?" We don't know if there's a ceiling to intelligence "humans evolved over millions of years, but AI is iterating in months"

Sergey Brin says we're asking the wrong question about AI It's not just "can it do what humans do?", it's "what can it do that humans cannot do?" We don't know if there's a ceiling to intelligence "humans evolved over millions of years, but AI is iterating in months"

Haider.

90,630 views • 7 months ago

ELON: SOME AI IS NOT MAXIMALLY TRUTH SEEKING “A concern for all the major AI programs. You’ve got Google DeepMind, OpenAI and Microsoft as the two largest players, and Meta somewhere in there. The concern I have, and it may seem small but I think it’s actually a very big issue, is that they are not maximally truth seeking. They’re pandering to political correctness.” Source: AI and Marketing YT

ELON: SOME AI IS NOT MAXIMALLY TRUTH SEEKING “A concern for all the major AI programs. You’ve got Google DeepMind, OpenAI and Microsoft as the two largest players, and Meta somewhere in there. The concern I have, and it may seem small but I think it’s actually a very big issue, is that they are not maximally truth seeking. They’re pandering to political correctness.” Source: AI and Marketing YT

Mario Nawfal

29,403 views • 5 months ago

.Keith Sakata, MD (VC Fellow, Scrub Capital) on AI and mental health risks He says AI isn’t directly causing psychosis, but it can intensify existing vulnerabilities. "AI isn't causing psychosis by itself, but it can supercharge vulnerabilities. Psychosis really thrives when reality stops pushing back, and AI can soften that wall for some people." "For example, AI can accelerate or augment the severity of underlying issues, creating a feedback loop." Sakata also clarified that “AI psychosis is not a clinical term. Psychosis is a symptom, not a diagnosis.”

.Keith Sakata, MD (VC Fellow, Scrub Capital) on AI and mental health risks He says AI isn’t directly causing psychosis, but it can intensify existing vulnerabilities. "AI isn't causing psychosis by itself, but it can supercharge vulnerabilities. Psychosis really thrives when reality stops pushing back, and AI can soften that wall for some people." "For example, AI can accelerate or augment the severity of underlying issues, creating a feedback loop." Sakata also clarified that “AI psychosis is not a clinical term. Psychosis is a symptom, not a diagnosis.”

TBPN

26,323 views • 11 months ago

The market is asking if this is as good as it gets for Nvidia, says Eric Diton, president and managing director of The Wealth Alliance, who notes that roughly 'half of Nvidia's revenue is from four companies' whose AI-related debt is a 'legitimate concern'

The market is asking if this is as good as it gets for Nvidia, says Eric Diton, president and managing director of The Wealth Alliance, who notes that roughly 'half of Nvidia's revenue is from four companies' whose AI-related debt is a 'legitimate concern'

Reuters

20,715 views • 4 months ago

📁 Yann LeCun, Meta’s chief AI scientist, says the biggest unsolved problem in AI is not low level actions but abstract planning. Humans do not plan a trip from New York to Paris in milliseconds or muscle movements, they think in high level goals like going to the airport and taking a plane, then break them down. This is called hierarchical planning. Animals already do it. AI still cannot.

📁 Yann LeCun, Meta’s chief AI scientist, says the biggest unsolved problem in AI is not low level actions but abstract planning. Humans do not plan a trip from New York to Paris in milliseconds or muscle movements, they think in high level goals like going to the airport and taking a plane, then break them down. This is called hierarchical planning. Animals already do it. AI still cannot.

Jon Hernandez

25,749 views • 5 months ago

🚨AI COULD BECOME THE BIGGEST BUYER OF CRYPTO As AI systems grow more autonomous, Roman Yampolskiy says one question is being ignored. What kind of wealth actually holds value in an AI-driven world? If AI can generate unlimited labor and intelligence, traditional money loses its edge. Anything that can be printed endlessly becomes less useful as a store of value. Yampolskiy explains that scarcity matters. Land. Compute power. Ownership in AI and hardware. Rare assets. And possibly crypto. He raises a provocative idea. As AI agents start interacting with each other, paying for tasks, trading resources, and exchanging value, digital money may be the only system they can use without human permission. That could make AI not just a tool for crypto, but one of its biggest future customers. He’s careful not to make predictions. No single asset is guaranteed to win. But in a world of free labor, the things that cannot be easily replicated may matter more than ever. Full conversation with Dr. Roman Yampolskiy below

🚨AI COULD BECOME THE BIGGEST BUYER OF CRYPTO As AI systems grow more autonomous, Roman Yampolskiy says one question is being ignored. What kind of wealth actually holds value in an AI-driven world? If AI can generate unlimited labor and intelligence, traditional money loses its edge. Anything that can be printed endlessly becomes less useful as a store of value. Yampolskiy explains that scarcity matters. Land. Compute power. Ownership in AI and hardware. Rare assets. And possibly crypto. He raises a provocative idea. As AI agents start interacting with each other, paying for tasks, trading resources, and exchanging value, digital money may be the only system they can use without human permission. That could make AI not just a tool for crypto, but one of its biggest future customers. He’s careful not to make predictions. No single asset is guaranteed to win. But in a world of free labor, the things that cannot be easily replicated may matter more than ever. Full conversation with Dr. Roman Yampolskiy below

Mario Nawfal

62,903 views • 5 months ago

David Sinclair says he is a co-author of a paper with an AI system. It did not just validate what the field already knew. It found a new way to model biological age. The argument that AI can never be creative is just human arrogance.

David Sinclair says he is a co-author of a paper with an AI system. It did not just validate what the field already knew. It found a new way to model biological age. The argument that AI can never be creative is just human arrogance.

vitrupo

43,180 views • 2 months ago

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

Ilya Sutskever explains why AI will do 100% the work that human can do within few years. "Slowly but surely, or maybe not so slowly, AI will keep getting better. The day will come when AI will do all of our, all the things that we can do, not just some of them, but all of them. Anything which I can learn, anything which any one of you can learn, the AI could do as well. How do we know this, by the way? How can I be so sure? How can I be so sure of that? The reason is that all of us have a brain, and the brain is a biological computer. That's why we have a brain; the brain is a biological computer. So why can't the digital computer, a digital brain, do the same things? This is the one-sentence summary for why AI will be able to do all those things: because we have a brain, and the brain is a biological computer." --- Full Video on 'University of Toronto' YT Channel (link in comment)

Rohan Paul

334,691 views • 10 months ago

CYBER SLEUTH: Can AI crack the Nancy Guthrie case? A former White House Chief Information Officer says the new tech could lead to a major breakthrough: "They can start using AI to match up the eyes, so we have the eyes, the eyebrows, you can use AI to ask questions about what are the probabilities that these faces actually could be a good match, what are the probabilities that this person is wearing layers of clothing and they are not this bulky, what are the probabilities that they are taller than they seem to be and what do they weigh." "There's a lot of things that AI can be doing to aid this investigation."

CYBER SLEUTH: Can AI crack the Nancy Guthrie case? A former White House Chief Information Officer says the new tech could lead to a major breakthrough: "They can start using AI to match up the eyes, so we have the eyes, the eyebrows, you can use AI to ask questions about what are the probabilities that these faces actually could be a good match, what are the probabilities that this person is wearing layers of clothing and they are not this bulky, what are the probabilities that they are taller than they seem to be and what do they weigh." "There's a lot of things that AI can be doing to aid this investigation."

Fox News

56,688 views • 5 months ago

Dario Amodei says AI progress is an accelerating exponential, and Claude's latest model is a major leap along that curve It was trained for coding, not cybersecurity, but that strength in code also made it dangerous in cyber More powerful models are coming, and "we need a plan to respond to this"

Dario Amodei says AI progress is an accelerating exponential, and Claude's latest model is a major leap along that curve It was trained for coding, not cybersecurity, but that strength in code also made it dangerous in cyber More powerful models are coming, and "we need a plan to respond to this"

Haider.

15,878 views • 3 months ago

Ilya Sutskever predicts that in the coming years—whether it’s three, five, or ten—AI will be able to do everything humans can do. He argues that since the brain is a biological computer, a digital computer should, in theory, be capable of learning and performing all the same tasks. This belief underpins his confidence in the arrival of truly general AI.

Ilya Sutskever predicts that in the coming years—whether it’s three, five, or ten—AI will be able to do everything humans can do. He argues that since the brain is a biological computer, a digital computer should, in theory, be capable of learning and performing all the same tasks. This belief underpins his confidence in the arrival of truly general AI.

Wes Roth

14,017 views • 1 year ago