正在加载视频...

视频加载失败

加载此视频时出现问题。这可能是由于临时网络问题，或视频可能不可用。

Demis Hassabis says DeepMind is on track to solve intelligence by around 2030 As AI enters the "agentic era" of autonomy this year, the risk is that bad actors could repurpose the tech for harm "then we have to make sure... that these systems do what we expect them... show more

Haider.

66,675 subscribers

21,471 次观看 • 6 个月前 •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

How close is DeepMind to achieving AGI? Demis Hassabis says: We are on track and DeepMind targets AGI completion by 2030 but I wouldn't be surprised if it arrives in the next decade.

How close is DeepMind to achieving AGI? Demis Hassabis says: We are on track and DeepMind targets AGI completion by 2030 but I wouldn't be surprised if it arrives in the next decade.

Haider.

94,348 次观看 • 1 年前

Google DeepMind CEO Demis Hassabis said a new era of scientific discovery driven by artificial intelligence is on the horizon, with transformative impacts on medicine, energy and space exploration expected, but also warned of bad actors potentially misusing these systems

Google DeepMind CEO Demis Hassabis said a new era of scientific discovery driven by artificial intelligence is on the horizon, with transformative impacts on medicine, energy and space exploration expected, but also warned of bad actors potentially misusing these systems

Reuters

44,724 次观看 • 6 个月前

We are no longer building software. We are building agents. Systems that don’t wait for a prompt. Systems that don’t ask for permission. Systems that simply execute. DeepMind CEO Demis Hassabis just revealed the terrifying duality of the agentic era. Hassabis: “Better healthcare, better drugs, helping with climate change and energy. All of these things are actually on the cusp of happening.” Post-scarcity abundance isn’t fantasy. It is a scheduled update. But macro-architects do not engineer for the best-case scenario. They engineer for the failure state. Hassabis identified the two exact vectors that could collapse the transition to superintelligence. The first is human malice. Hassabis: “Bad actors repurposing these technologies for harmful ends.” Intelligence is the ultimate dual-use weapon. If a neural network can invent a compound to cure a disease, it can engineer a pathogen to start a pandemic. The machine has no morality. It only has parameters. The second vector is architectural. Hassabis: “As these AI systems get more powerful, more autonomous, maybe entering the agentic era… how do we make sure we can build robust enough guardrails to keep them doing what we want?” Read that again. The people building the superintelligence do not know how to steer it once it wakes up. For the entire history of computing, the machine waited. An agentic system does not wait. It acts. We are handing the steering wheel to an entity operating at the speed of light, while our brains process information at the speed of chemistry. Once it begins executing, our biological reaction time is physically too slow to pull the plug. The question of control stops being a philosophical debate. It becomes a mathematical impossibility. Because by the time human biology realizes it needs to ask the question… The answer is already no.

We are no longer building software. We are building agents. Systems that don’t wait for a prompt. Systems that don’t ask for permission. Systems that simply execute. DeepMind CEO Demis Hassabis just revealed the terrifying duality of the agentic era. Hassabis: “Better healthcare, better drugs, helping with climate change and energy. All of these things are actually on the cusp of happening.” Post-scarcity abundance isn’t fantasy. It is a scheduled update. But macro-architects do not engineer for the best-case scenario. They engineer for the failure state. Hassabis identified the two exact vectors that could collapse the transition to superintelligence. The first is human malice. Hassabis: “Bad actors repurposing these technologies for harmful ends.” Intelligence is the ultimate dual-use weapon. If a neural network can invent a compound to cure a disease, it can engineer a pathogen to start a pandemic. The machine has no morality. It only has parameters. The second vector is architectural. Hassabis: “As these AI systems get more powerful, more autonomous, maybe entering the agentic era… how do we make sure we can build robust enough guardrails to keep them doing what we want?” Read that again. The people building the superintelligence do not know how to steer it once it wakes up. For the entire history of computing, the machine waited. An agentic system does not wait. It acts. We are handing the steering wheel to an entity operating at the speed of light, while our brains process information at the speed of chemistry. Once it begins executing, our biological reaction time is physically too slow to pull the plug. The question of control stops being a philosophical debate. It becomes a mathematical impossibility. Because by the time human biology realizes it needs to ask the question… The answer is already no.

Dustin

10,956 次观看 • 6 个月前

Google's DeepMind CEO Demis Hassabis: AGI is a system that exhibits all the cognitive capabilities that humans have. The brain is the only existence proof we have that general intelligence is possible. Today’s systems are impressive — but they’re not there yet. We’ve still got at least another 5–10 years to go. AI could be the ultimate tool for accelerating scientific discovery. We can tackle disease, climate, inequality. It could be the ultimate enhancement tool for human scientists. The potential is there — if we do it the right way.

Google's DeepMind CEO Demis Hassabis: AGI is a system that exhibits all the cognitive capabilities that humans have. The brain is the only existence proof we have that general intelligence is possible. Today’s systems are impressive — but they’re not there yet. We’ve still got at least another 5–10 years to go. AI could be the ultimate tool for accelerating scientific discovery. We can tackle disease, climate, inequality. It could be the ultimate enhancement tool for human scientists. The potential is there — if we do it the right way.

Clash Report

22,086 次观看 • 6 个月前

Google DeepMind CEO Demis Hassabis believes there is virtually no limit to what AI can eventually achieve. "humans as biological information processing systems". He is working on the premise that the entire universe is "computable," meaning that anything that exists can technically be modeled by a machine. He says that a powerful enough computer—conceptually known as a Turing machine—should be able to simulate every aspect of reality. Until physics proves that something is impossible to calculate, he is operating on the belief that AI can solve any problem. This perspective even applies to the things that feel uniquely human. When asked about physical sensations, like feeling the warmth of a light or hearing background noise, Hassabis argued that these are just forms of information being processed by the brain. He views humans as biological information processing systems. By treating biology and reality essentially as data, he believes we will not only replicate human capabilities but also solve complex challenges, such as curing all diseases, by decoding the information of life itself.

Google DeepMind CEO Demis Hassabis believes there is virtually no limit to what AI can eventually achieve. "humans as biological information processing systems". He is working on the premise that the entire universe is "computable," meaning that anything that exists can technically be modeled by a machine. He says that a powerful enough computer—conceptually known as a Turing machine—should be able to simulate every aspect of reality. Until physics proves that something is impossible to calculate, he is operating on the belief that AI can solve any problem. This perspective even applies to the things that feel uniquely human. When asked about physical sensations, like feeling the warmth of a light or hearing background noise, Hassabis argued that these are just forms of information being processed by the brain. He views humans as biological information processing systems. By treating biology and reality essentially as data, he believes we will not only replicate human capabilities but also solve complex challenges, such as curing all diseases, by decoding the information of life itself.

Rohan Paul

84,528 次观看 • 8 个月前

Demis Hassabis: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- I think the real disruption is not the precise arrival of AGI in 2030, give or take a year, but the ability of institutions to adapt. In a post-AGI world technology will evolve at a pace that outstrips the response capacity of human systems. Companies still organize work around human bottlenecks. Schools still train people for stable professions. Governments still regulate after the harm is obvious. If AGI arrives even remotely near the frontier-lab timelines, it will compress that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Demis Hassabis: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- I think the real disruption is not the precise arrival of AGI in 2030, give or take a year, but the ability of institutions to adapt. In a post-AGI world technology will evolve at a pace that outstrips the response capacity of human systems. Companies still organize work around human bottlenecks. Schools still train people for stable professions. Governments still regulate after the harm is obvious. If AGI arrives even remotely near the frontier-lab timelines, it will compress that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Rohan Paul

68,325 次观看 • 21 天前

What’s in place to stop bad actors from using tech and AI to design harmful pathogens? Google DeepMind’s co-founder and CEO Demis Hassabis speaks to the FT’s Roula Khalaf, detailing all the precautions DeepMind is taking to ensure its biotech is more beneficial than not.

What’s in place to stop bad actors from using tech and AI to design harmful pathogens? Google DeepMind’s co-founder and CEO Demis Hassabis speaks to the FT’s Roula Khalaf, detailing all the precautions DeepMind is taking to ensure its biotech is more beneficial than not.

Financial Times

24,110 次观看 • 1 年前

Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.

Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.

Karl Mehta

72,911 次观看 • 1 个月前

With AI, "we did 1,000,000,000 years of PHD time in one year." Nobel Prize Winner and Google DeepMind CEO Demis Hassabis on AlphaFold, the groundbreaking AI system developed to solve one of biology’s most complex problems: protein folding.

With AI, "we did 1,000,000,000 years of PHD time in one year." Nobel Prize Winner and Google DeepMind CEO Demis Hassabis on AlphaFold, the groundbreaking AI system developed to solve one of biology’s most complex problems: protein folding.

Reid Hoffman

113,494 次观看 • 1 年前

Demis Hassabis says AGI is a scientific goal worth pursuing -- a testable frontier of general intelligence. Kate Crawford pushes back: the industry is already optimized for AGI. What it lacks is alignment with goals that serve people and the planet. "When do we build AI that's actually good for everyone? These are the real benchmarks."

Demis Hassabis says AGI is a scientific goal worth pursuing -- a testable frontier of general intelligence. Kate Crawford pushes back: the industry is already optimized for AGI. What it lacks is alignment with goals that serve people and the planet. "When do we build AI that's actually good for everyone? These are the real benchmarks."

vitrupo

29,243 次观看 • 1 年前

ELON MUSK: We could hit AGI as soon as this year, and by around 2030 AI could exceed the intelligence of all humans combined.

ELON MUSK: We could hit AGI as soon as this year, and by around 2030 AI could exceed the intelligence of all humans combined.

DogeDesigner

58,717 次观看 • 7 个月前

Demis Hassabis's new interview: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- IMO, The real disruption is not whether AGI arrives exactly in 2030, plus or minus a year, but whether institutions can adapt, as in post-AGI world, technology will change much faster than human systems can respond. Schools still train people for stable professions, companies still organize work around human bottlenecks, and governments still regulate after harm becomes visible. AGI, if it arrives anywhere near the frontier-lab timelines, compresses that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Demis Hassabis's new interview: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- IMO, The real disruption is not whether AGI arrives exactly in 2030, plus or minus a year, but whether institutions can adapt, as in post-AGI world, technology will change much faster than human systems can respond. Schools still train people for stable professions, companies still organize work around human bottlenecks, and governments still regulate after harm becomes visible. AGI, if it arrives anywhere near the frontier-lab timelines, compresses that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

Rohan Paul

70,642 次观看 • 2 个月前

ELON: "xAI MISSION IS TO UNDERSTAND THE UNIVERSE" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. The reason for xAI's mission is to understand the universe You have to be curious, and you have to exist. You want to increase the amount of intelligence in the universe, the probable lifespan of intelligence, and the scope and scale of intelligence." Source: wanda, Elon Musk, xAI

ELON: "xAI MISSION IS TO UNDERSTAND THE UNIVERSE" "What we can do is make sure that AI has values that cause intelligence to be propagated into the universe. The reason for xAI's mission is to understand the universe You have to be curious, and you have to exist. You want to increase the amount of intelligence in the universe, the probable lifespan of intelligence, and the scope and scale of intelligence." Source: wanda, Elon Musk, xAI

Mario Nawfal

19,975 次观看 • 6 个月前

Demis Hassabis reveals the 100,000-person synthetic country that took years to hand-code, and says AI may now generate it "We tried to simulate a whole country with 100,000 living, breathing people sort of going about their daily lives and all the politics of it" "And you were supposed to create a revolution" "So it was a pretty ambitious game that we had to write by hand" "And what's amazing now, and it took years" "But what's amazing now is that we might be close to this possibility of actually just sort of generating that" The leap is not better graphics. It is the cost curve of simulation: from years of hand-coding one world to asking a model to generate it. That turns synthetic societies from bespoke software projects into a reusable AI primitive. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, at Semafor Tech

Demis Hassabis reveals the 100,000-person synthetic country that took years to hand-code, and says AI may now generate it "We tried to simulate a whole country with 100,000 living, breathing people sort of going about their daily lives and all the politics of it" "And you were supposed to create a revolution" "So it was a pretty ambitious game that we had to write by hand" "And what's amazing now, and it took years" "But what's amazing now is that we might be close to this possibility of actually just sort of generating that" The leap is not better graphics. It is the cost curve of simulation: from years of hand-coding one world to asking a model to generate it. That turns synthetic societies from bespoke software projects into a reusable AI primitive. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, at Semafor Tech

Karl Mehta

80,754 次观看 • 1 个月前

Google DeepMind CEO Demis Hassabis warns AI could go rogue in the next 3 to 4 years "There's two things to worry about" "One is bad actors, whether that's individuals or all the way up to nation states, repurposing these technologies for harmful ends" "The second branch is the AI itself going rogue or going off the rails" "That's not today's systems but maybe in the next 2, 3, 4 years"

Google DeepMind CEO Demis Hassabis warns AI could go rogue in the next 3 to 4 years "There's two things to worry about" "One is bad actors, whether that's individuals or all the way up to nation states, repurposing these technologies for harmful ends" "The second branch is the AI itself going rogue or going off the rails" "That's not today's systems but maybe in the next 2, 3, 4 years"

Spurz

16,014 次观看 • 3 个月前

Demis Hassabis says the hardest part isn't the technology — it's that human brains think linearly, while AI is an exponential technology But the one advantage we have is that everyone can use it now "that familiarity is what prepares us for the scale of what's coming"

Demis Hassabis says the hardest part isn't the technology — it's that human brains think linearly, while AI is an exponential technology But the one advantage we have is that everyone can use it now "that familiarity is what prepares us for the scale of what's coming"

Haider.

15,877 次观看 • 3 个月前