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Balaji
Verified account NS@balajis
Author of the Network State. Founder of the Network School.
3.9K Following 2.3M Followers 31K Posts
Latest posts 5
No. Bill Clinton did not resign.
Jensen Huang shouldn’t either.
And the Nvidia board shouldn’t fire him.
Particularly in the heat of the moment.
Ride it out and ignore the journos.
Clinton did. And then no one cared.
Jensen Huang shouldn’t either.
And the Nvidia board shouldn’t fire him.
Particularly in the heat of the moment.
Ride it out and ignore the journos.
Clinton did. And then no one cared.
Jensen Huang must goView quoted post on X
We argue in @TheEconomist that his position is untenable
"Like many powerful leaders, he came to believe that he was too important for the normal rules to apply to him."
But he is not the only one. Howard Lutnick has failed to stem the flow of chips to China. More heads should roll
Yes, AI is rapidly advancing mathematics (and theoretical physics problems that are essentially mathematical). Like Ramanujan’s notebooks, human mathematicians will spend months (years?) poring over the stream of papers that AI effortlessly generates, hoping to verify and understand them, probably until math itself (via Lean) becomes a branch of computer science like almost everything else.
However, after math and physics, there is still a next scientific frontier: chemistry, and especially biology and medicine.
I mean, it was already the frontier, but it’s the next one too. AI can crush deterministic math problems on the computer, but biomedicine is a highly empirical, noisy, multivariate, and yet often predictable domain.
Thus, AI radically increases our ambitions in biomedicine. All the omics data, all the messy literature, it can all be synthesized and analyzed in a flash. This is what the labs mean when they talk about curing all diseases. The tooling is available to take cracks at biomedical problems previously thought impossible.
Midjourney is doing this, Chan Zuckerberg is doing this, Anthropic is doing this, but there will be so much more.
However, after math and physics, there is still a next scientific frontier: chemistry, and especially biology and medicine.
I mean, it was already the frontier, but it’s the next one too. AI can crush deterministic math problems on the computer, but biomedicine is a highly empirical, noisy, multivariate, and yet often predictable domain.
Thus, AI radically increases our ambitions in biomedicine. All the omics data, all the messy literature, it can all be synthesized and analyzed in a flash. This is what the labs mean when they talk about curing all diseases. The tooling is available to take cracks at biomedical problems previously thought impossible.
Midjourney is doing this, Chan Zuckerberg is doing this, Anthropic is doing this, but there will be so much more.