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"Just like maths...was the perfect description language for physics, I think that AI is potentially the perfect description language for biology." Demis Hassabis envisions a new era of "digital biology" where AI helps us understand life's complex information processing. His dream? "Virtual cells" for faster, more efficient scientific discovery.

vitrupo

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28,845 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля vitrupo

vitrupo1 год назад

Sir Demis Hassabis gives a lecture at Cambridge University:

Фото профиля Yang

Yang1 год назад

Want to learn how practical AI skills and automations for your business and work? Check out our 50+ step-by-step video tutorials 100% FREE 20+ hours of Ai and Automation goodness absolutely free 🥳

Фото профиля O- Age 📦

O- Age 📦1 год назад

@macacolibertaro everything is computer, everything is language.

Фото профиля Lilith Datura

Lilith Datura1 год назад

We can already do this.

Фото профиля cosmichaos

cosmichaos1 год назад

Perfect way of thinking. The wisest way actually. Every wise person will eventually make something important for the world it doesn't matter when.

Фото профиля Robert Cincotta

Robert Cincotta1 год назад

Can’t happen quickly enough! We have to think differently and be open to the possibilities .Just seeing how quickly AI has developed over the past year is thrilling and it’s only just scratched being applied to other fields like biology and medicine

Фото профиля Desmond Wood

Desmond Wood1 год назад

Don’t you just love Demis Hassabis! Such a brilliant and humble human being. 4o images are epic now

Фото профиля 富

富1 год назад

my first thought was then what has David Baker been doing for year's

Фото профиля Joseph McCard

Joseph McCard1 год назад

Does it help us understand what consciousness and life, even biological life itself are. It certainly has not helped Mike Levin. I have not seen it. 🤔

Фото профиля Keshav Kumbham

Keshav Kumbham1 год назад

Interesting!

Фото профиля Ahmet MALKOCOGLU

Ahmet MALKOCOGLU1 год назад

Mükemmel...

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Demis Hassabis thinks mathematics has a ceiling. He thinks biology is where we hit it. Hassabis: “Machine learning is the perfect description language for biology in the same way maths is for physics.” He isn’t calling AI a tool. He’s calling it a language. For four hundred years we only had one. Newton wrote gravity in it. Maxwell wrote light. Einstein wrote spacetime itself. Every law we ever pulled out of nature came back in equations, and we decided that meant nature was written in equations. It didn’t mean that. It meant the parts that surrendered first were small enough to fit the language we already spoke. Hassabis: “The expressive power of maths is not enough to understand these highly emergent dynamical systems.” Math can put a planet’s orbit on a single line. It cannot put one protein on a page. Same universe, same laws, and one fits our notation while the other refuses. Weak signals buried under noise, correlations stacked on correlations, more moving parts turning at once than any mind can hold. Biology isn’t harder than physics. It’s more expressive than the tool we brought to it. That was never a gap in our knowledge. It was a wall in our vocabulary. Hassabis is working on the far side of that wall. He calls it a virtual cell. A running simulation of a living system that no equation could ever contain. Hassabis: “Once you learn these simulators, you could maybe extract some equations from that.” He isn’t replacing math. He’s going after math we were never going to reach on our own. The model learns the system the way you learn to catch a ball, without ever solving the equation in the air. Understanding first. Formula after. That reverses the order science has followed since Newton. We started with the equation and used it to predict the system. He starts with the system and pulls the equation out of it. What if the deepest laws of life were always there, fully written, in a language we never learned to read. Math was never the language of the universe. It was the first one we spoke. Every disease we failed to cure is a sentence in that language, sitting in the open, waiting on a reader. Every person we lost to one died on the wrong side of a translation gap. The cell was never silent. We were illiterate. Hassabis isn’t building a better microscope. He’s building a second language for reality. And the first thing it’s learning to say is life.

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This thread reminded me of Thiel's take on biology and the excuses of biologists for why we aren't solving hard problems (I have a biology background and work as a scientist and still agree with him). My take is that AI won't solve biology, but it will help us understand it at a deeper level. Saying that it is impossible is a lazy take. Saying that AI will solve all problems is a lazy take too. There is an in-between where AI will support and help scientists move things forward. I am really tired of the excuses of the gatekeeper boomer scientists and the hype of the AI bros.

This thread reminded me of Thiel's take on biology and the excuses of biologists for why we aren't solving hard problems (I have a biology background and work as a scientist and still agree with him). My take is that AI won't solve biology, but it will help us understand it at a deeper level. Saying that it is impossible is a lazy take. Saying that AI will solve all problems is a lazy take too. There is an in-between where AI will support and help scientists move things forward. I am really tired of the excuses of the gatekeeper boomer scientists and the hype of the AI bros.

Linden

67,241 просмотров • 2 месяцев назад

The smartest physicist quit physics to build AI. Here’s why that matters. In a recent interview, Demis Hassabis lays out one of the clearest origin stories for modern AI I’ve heard. He starts as a physics kid obsessed with the big stuff: reality, consciousness, why anything exists at all. Feynman was his hero. But then comes the uncomfortable realization: for decades, fundamental physics barely moved. The deepest questions stayed stuck. So he pivots. Not away from truth, but toward leverage. If the human brain is the bottleneck, don’t push harder on the same brain. Build a new one. AI, in his framing, isn’t a product. It’s the ultimate scientific instrument. A tool to smash through the ceiling that human cognition hit in physics, biology, and beyond. And the twist is beautiful: By trying to build intelligence, we’re forced to understand our own. AI becomes both microscope and mirror. This isn’t about apps or chatbots. It’s about finishing the questions physics couldn’t.

The smartest physicist quit physics to build AI. Here’s why that matters. In a recent interview, Demis Hassabis lays out one of the clearest origin stories for modern AI I’ve heard. He starts as a physics kid obsessed with the big stuff: reality, consciousness, why anything exists at all. Feynman was his hero. But then comes the uncomfortable realization: for decades, fundamental physics barely moved. The deepest questions stayed stuck. So he pivots. Not away from truth, but toward leverage. If the human brain is the bottleneck, don’t push harder on the same brain. Build a new one. AI, in his framing, isn’t a product. It’s the ultimate scientific instrument. A tool to smash through the ceiling that human cognition hit in physics, biology, and beyond. And the twist is beautiful: By trying to build intelligence, we’re forced to understand our own. AI becomes both microscope and mirror. This isn’t about apps or chatbots. It’s about finishing the questions physics couldn’t.

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vitrupo

46,674 просмотров • 1 год назад

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