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Google DeepMind CEO Demis Hassabis says their AlphaFold AI system has performed a billion years of PhD work and they will have their first drugs in the clinic by the end of the year, with cancer, heart disease and neurodegenerative diseases on the list of targets

Tsarathustra

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888,385 görüntüleme • 1 yıl önce •via X (Twitter)

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Source:

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Forget teams of doctors and high costs. NOVOS customers like Amy and Julie saw objectively better anti-aging results without breaking the bank. Effective, affordable solutions are within your reach. See how they did it:

Best is West profil fotoğrafı

Best is West1 yıl önce

Talk is not action, but promising.

$Q*🍓on Ethereum profil fotoğrafı

$Q*🍓on Ethereum1 yıl önce

It may take something like curing cancer for people to wake up! R&D AGI, that is all that is needed

Hannibal999 profil fotoğrafı

Hannibal9991 yıl önce

The rich don’t want to cure diseases. Big Pharma would lose its entire business model 😂

Tom Löwe profil fotoğrafı

Tom Löwe1 yıl önce

In Demis We Trust

Alexandre Forget profil fotoğrafı

Alexandre Forget1 yıl önce

He should be way easier to point out the the cheap generic medications and changes that are effective. To find the corruption in the medical and pharma system.

Ali Arraour profil fotoğrafı

Ali Arraour1 yıl önce

The combination of AI-powered structural biology with clinical expertise could lead to more effective, personalized treatments while significantly reducing the time and cost of drug development

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Zen Kobayashi1 yıl önce

This is mind blowing!!

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THIS MAN DOES NOT PLAY!

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Does anyone know what "drugs in the clinic" means? Clinical trials on humans? Or approved and ready to treat patients?

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I had a chance to sit down with Demis Hassabis to discuss his goal of solving intelligence and using it to help cure all disease. But what I found most compelling wasn't the scale of the mission, but Demis Hassabis himself. His level of focus is extraordinary. We talked about the personal cost of pursuing a mission this ambitious, and the tension between the two sides of his work: the CEO of a commercial entity and the scientist driven by a humanitarian vision. It was an absolutely fascinating conversation, and a deep honor to speak with one of the most important minds of our time. Thank you to the Google DeepMind team for having me. (0:00) Curing Every Disease in a Decade (1:04) Gemini for Science (2:01) Changing Science Forever with AlphaFold (4:04) Can Humans Trust AI In The Medical Field? (6:02) Generative AI vs. Practical AI (7:03) The Tension Between CEO & Scientist (8:28) AGI by 2030 (10:07) The Chess Prodigy Turned CEO (11:20) Ender's Game & What This Mission Has Cost

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Demis Hassabis, the Nobel Prize winner who runs Google DeepMind just described the most consequential project on earth, and most people have no idea it exists. The project is called Isomorphic Labs and the goal is to end the way drugs have been developed for the last century. Here is the problem it is trying to solve. Developing a single drug today takes an average of 10 years, costs billions of dollars, and fails 90 percent of the time before it ever reaches a patient. Of every 10 drugs that enter clinical trials, only one makes it through. The other nine years of work, the other billions of dollars, the other scientific careers, gone. Hassabis believes AI can collapse that entire process from identifying a disease target to designing a compound that binds to it, predicts how it behaves in the body, and minimizes side effects , end to end, on a computer, before a single experiment is run. The foundation is AlphaFold, the AI system that solved one of biology's hardest problems predicting the 3D structure of every protein in the human body and won him the Nobel Prize in Chemistry in 2024. But knowing a protein's shape is only one part of designing a drug. Isomorphic is building what Hassabis describes as adjacent systems , AlphaFold 3, AlphaFold 4, and now a unified model called IsoDDE , that take the next steps. From designing the actual chemical compound that binds to the protein, predicting its binding strength, identifying new pockets to target that no one has ever found before. IsoDDE more than doubles the accuracy of AlphaFold 3 on the hardest protein-ligand prediction benchmarks that exist. Isomorphic is already running 18 to 19 live drug programs, cardiovascular disease, cancer, immunology in partnership with Eli Lilly, Novartis, and Johnson and Johnson. The first human clinical trial of a fully AI-designed drug is expected by the end of 2026. If that trial succeeds, it will be the first time in history that a drug put into a human body was designed not by a team of chemists working for a decade but by an AI working for months. Hassabis's long-term vision is even more direct, one day you describe a disease, click a button, and a drug blueprint comes out the other side. AI will solve almost all diseases within 10 years.

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Demis Hassabis, Nobel laureate and CEO of Google DeepMind: "I think one day, maybe we can cure all disease with the help of AI. Within the next decade. I don't see why not." This is not a hype account. It is the man whose AI mapped 200 million protein structures in a single year, work that used to take a lifetime. A new drug normally takes ten years and billions of dollars. He thinks AI cuts that to months, maybe weeks. Musk said your future doctor will be AI. Hassabis is saying the disease itself might not be waiting for you by then. We treated illness as the fixed price of being alive. Two Nobel-level labs are now quietly saying that price was a choice.

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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.

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📁 Demis Hassabis, CEO of DeepMind, says AI could be the most beneficial technology humanity has ever created. He explains that its potential includes curing diseases, accelerating drug discovery, and solving core biological problems, as seen with AlphaFold and Isomorphic. But he warns the outcome is not guaranteed. He compares it to an Industrial Revolution ten times bigger and ten times faster, bringing massive transformation and unavoidable disruption.

📁 Demis Hassabis, CEO of DeepMind, says AI could be the most beneficial technology humanity has ever created. He explains that its potential includes curing diseases, accelerating drug discovery, and solving core biological problems, as seen with AlphaFold and Isomorphic. But he warns the outcome is not guaranteed. He compares it to an Industrial Revolution ten times bigger and ten times faster, bringing massive transformation and unavoidable disruption.

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