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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 Aufrufe • vor 1 Jahr •via X (Twitter)

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Profilbild von vitrupo

vitrupovor 1 Jahr

Sir Demis Hassabis gives a lecture at Cambridge University:

Profilbild von Yang

Yangvor 1 Jahr

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 🥳

Profilbild von O- Age 📦

O- Age 📦vor 1 Jahr

@macacolibertaro everything is computer, everything is language.

Profilbild von Lilith Datura

Lilith Daturavor 1 Jahr

We can already do this.

Profilbild von cosmichaos

cosmichaosvor 1 Jahr

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

Profilbild von Robert Cincotta

Robert Cincottavor 1 Jahr

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

Profilbild von Desmond Wood

Desmond Woodvor 1 Jahr

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

Profilbild von 富

富vor 1 Jahr

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

Profilbild von Joseph McCard

Joseph McCardvor 1 Jahr

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. 🤔

Profilbild von Keshav Kumbham

Keshav Kumbhamvor 1 Jahr

Interesting!

Profilbild von Ahmet MALKOCOGLU

Ahmet MALKOCOGLUvor 1 Jahr

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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