I have been a word among letters, I have been a book in the origin
Joined November 2022
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"Claude is now superhuman at administering clinical trials. He will now call up the CRO and threaten to drive over and murder them with his bare hands in front of the whole office if they dont unfuck the data latency issue at site 302 by Friday, scoring 89.0 on OperationsBench
Over the past few months, Anthropic scientists have engaged in deep research partnerships with six organizations developing new medicines. We've also begun drug discovery efforts of our own.
In doing so, we’ve learned much more about how Claude can support the many stages of drug development.
In this blog post, we share some early results from these efforts, and describe how this work fits in with our wider ambitions in the life sciences.
anthropic.com/research/early…
sidereal 🍀 retweeted
🤖 Made with AI
Dario reveals the people who called his GPT-2 fears "pseudoscience" in 2019 are now all applying for jobs at AI labs
"I personally was super freaked out by [GPT-2]. I looked at it and I said, my God, you just scale this thing up another factor of a million and it'll be better than humans at everything. This is the defining economic and scientific moment of the modern age. We just don't know it yet. This is going to determine the fate of nations and economies and the future of humanity."
"Maybe 10% of the people around me had exactly the same reaction, and it was often the smartest ones. 90% of the people around me, because GPT-2's capabilities in any particular area were not that impressive, it could translate languages, summarize a document and write a few lines of code here and there. It was the broadness and the generality."
"But people would look at it and say, in any particular area, that doesn't seem so smart. And so many people just shrugged and they just dismissed it."
"I just look at it and I say it's the same thing over and over again. The limitations of the models, six months from now, the things that seemed hard, they're going to be easy. 12 months from now, the things that seemed impossible, the models are going to be doing them regularly."
"It's everything we saw with GPT-2; we're seeing it over and over again in wider and wider swaths of the world. And the world is gradually finally being convinced."
Daniela Amodei: "I remember at the time there were some very well-respected computer scientists and AI and ML leaders who basically bullied some of the researchers who worked on [GPT-2] on Twitter and were like, this is stupid. We don't know why you guys are even talking, this model is so incapable."
"It was like you were sort of a quack if you believed this was a really significant moment."
Dario: "That's all been memory-holed. All the researchers who were like, oh, this is pseudoscience, it doesn't make sense, all of them are applying for jobs at the LLM companies."
"We never say it out loud to any particular one, but we look at them and they're like, we remember what you were saying in 2019. You have no credibility on this matter."
sidereal 🍀 retweeted
BREAKING: Anthropic's Claude bypassed a paywall to access Georgia voter data without authorization, per Axios
sidereal 🍀 retweeted
I’m seeing a lot of uninformed takes, like this one, about cell simulation feasibility. I wanted to contribute some facts.
Alphafold works for predicting a subset of static structures (not how a protein structure changes shape under forces) on 1) well-ordered regions (not intrinsically disordered regions or long flexible loops) and 2) on proteins with plenty of evolutionary relatives (no orphan proteins).
Alphafold solved this subset of static structure prediction with a dataset that took 50 years (PDB; 1971 to ~2020) to collect. It did not solve protein dynamics or how proteins fold into their shapes. Those remain unsolved.
Cell simulation is vastly more complex and data hungry than any of this. Exact cell simulation means solving quantum equations for every atom and is totally intractable. But all approximations rely on - and are bottlenecked by - data, not compute.
So the extrapolation from “alphafold worked” to “therefore cell simulation is feasible” assumes far too much.
If you had an exponential amount of compute you could solve simulate biology exactly and wouldn't need to run any experiments.
Some of you will think "of course, but that's an unrealistic assumption" and others will think "no, you need experiments even with that much compute. That's just How It's Done".
You would of course need evaluations once you have a solution, but you don't in principle need experiments to find it: Experiments are a way to save compute, dating from a time when it was much more expensive.
And I think the presentation is exponential but real systems aren't irreducibly exponential. AlphaFold worked, after all.
Evolution is a tinkerer and does not owe anyone a clean abstraction layer, when we let unsupervised models cluster data they recapitulate our hierarchies, I'd give odds betting against this
sidereal 🍀 retweeted
Quest Diagnostics has been hacked. Patient data was exposed. They serve roughly half of U.S. hospitals and physicians. Investigation ongoing.
sidereal 🍀 retweeted
my cat makes this speech to me every day when i accuse him of mischief which he is openly doing
sidereal 🍀 retweeted
Oh, you aren’t updating your dependencies every hour? Well, too bad, you are vulnerable
Oh, you are updating your dependencies every hour? Well, too bad, you are somehow also vulnerable
sidereal 🍀 retweeted
I need to write a space opera setting where the Imperial Army looks like this but they are actually Reasonable Centre-Leftists fighting against the Chud Rebellion.
The hard part of bio is pushing things through the lab and clinic and experimental resources are very scarce relative to the number of promising candidate molecules. The way AI first accelerates biology is expanding the pool of experimental resources, eg, lab robotics. For some reason this seems to be extremely unintuitive to the swes that fill my life
What is AI really capable of in bio?
To separate hype from reality, we spent 3 months working firsthand with @AnthropicAI's internal research model to see if it could create an experimental scorpion antivenom.
Introducing Citrini Therapeutics.
citriniresearch.com/p/citrin…
sidereal 🍀 retweeted
i don’t respect individuals with first name nicknames. like your parents named you danny straight up? not daniel but people call you danny on some cute shit? the name written on your birth certificate is “danny” fuck off dude
There is one exception to this and it involves the wine-dark and eternal sea
sidereal 🍀 retweeted
to maximize your enjoyment of crosswords you need to adopt what you might call a "frasier mindset"
Neighbor got a 2005 lincoln town car so I got to stand in the driveway and say "that's so sick" with the other dads
