
Working on Science 🧪 🧬 / Prism (acquired) @OpenAI join our discord https://xitter.cf/t.co/eBPSKj2U6X
San Francisco, CA
Joined January 2009
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Victor Powell retweeted
GPT-Rosalind surfaced a new lead for drug discovery: could restoring cholesterol transport protect neurons from degeneration?
DCTN1 is a gene linked to Perry syndrome, a rare neurodegenerative disorder. In mouse-brain data, disrupting it increased expression of genes involved in making cholesterol. GPT-Rosalind suggested a possible explanation: cholesterol may not be reaching where neurons need it.
That gives scientists a specific mechanism to test and, if confirmed, a direction for developing new treatments for neurodegenerative disorders.
With @perturbai_tx and @scrippsresearch, a team of thousands of GPT-Rosalind agents worked in parallel, connecting gene-expression results from millions of mouse brain cells with scientific literature in just 32 minutes. We’re now expanding this collaboration to identify new drug targets.
openai.com/index/scaling-ai-…
We’ve acquired Orchestra Bio, a platform that helps biopharma teams coordinate the complex process of drug development.
Together, we’ll build on Rosalind, our AI models and tools for life sciences research, to streamline those operations and help new treatments reach patients sooner.
Welcome @ashokaraj_ and team!
openai.com/index/openai-to-a…
🧵 POPOS in SF are privately owned, public open spaces!
They’re a hidden gem of the city and some even have fancy bathrooms and table tennis!
These companies agreed to these arrangements with the city when they built the spaces but some try to hide them or prevent access.
We're expanding access to GPT-Rosalind for academic research.
The new Rosalind Academic Plan helps scientific labs bring AI into the work of understanding biology, exploring ideas, and deciding what to test next—with sponsored access for eligible labs at U.S. universities.
Academic research starts with questions whose impact may take years to impact human health.
Victor Powell retweeted
computers beat the best chess player alive in 1997. today chess.com has over 100 million members. AI didn't kill the game. it turned everyone into a student
Victor Powell retweeted
Tao is completely missing the mark - what he's describing is actually completely standard for drug discovery. There are tons of drugs that have saved millions of lives without any person on Earth understanding fully the mechanisms of action that enabled them to do this.
Victor Powell retweeted
"Do not bet against the airplane. The skeptics who say AI can't conjecture, can't theorize, and can't explain are describing last spring's models. Within months, they will be describing nobody. The evidence is already on the table, and those with eyes can see it."
Reading all those recent beautiful essays by Terry Tao, Kevin Buzzard and @wtgowers, I could not resist, but write up my deeply personal perspective on how I perceive and see things:
docs.google.com/document/d/e…
Victor Powell retweeted
This is exactly the right take.
just got off the phone with a new engineer hire at a portco with a very wise insight
“AI has been replacing my job since I got a CS degree, yet I’m busier than ever - we can all just be more ambitious”
this is the same insight that the inimitable @JensenHuang has for us all
Victor Powell retweeted
Replying to @danielbigham
One thing I've updated towards thinking is that the Turing test is less interesting than it seems. A big moment for me will be when AI can prove a new mathematical theorem.
Victor Powell retweeted
We started Codex for OSS six months ago.
Today, we’re renewing the program with $100 Pro plans and doubling the number of grants (from 5,000 to 10,000) to reach more maintainers.
(If you received a grant previously, we encourage you to re-apply!)
openai.com/form/codex-for-os…
Victor Powell retweeted
Replying to @LevyAntoine @mattparlmer
i fully fund my 401k and i think there’s essentially zero chance AI kills all humans in the next decade. i think this is a pretty common view that gets less attention.
Victor Powell retweeted
Worth clarifying that this is flatly false and the two options are just two independent ways to opt-out.
We respect our users' choice whether to use their data to “improve our models for everyone” regardless of where they express that choice. Users can opt out in the in-app settings or indeed also in our privacy portal. They do not need to opt out in both places, and we will make this clearer in our Help Center.
privacy.openai.com/policies/…
There is a super shady data control setting on everyone's ChatGPT which makes it seem like your data can be used for training even if you explicitly say to *NOT* improve the model for everyone (1/9)
Readers added context they thought people might want to know
This claim is false. OpenAI has clarified that the in-app toggle and the privacy portal are independent ways to opt out of data training. You only need to use one method, and OpenAI respects the opt-out choice regardless of where it is set.
x.com/thsottiaux/sta…
help.openai.com/articles/77308…
We’re sharing a solution to the Navier-Stokes Millennium Prize Problem, one of the deepest problems at the frontier of mathematics.
The proof was produced by a group of agents, using an OpenAI next-generation model significantly more capable than GPT-6 Astra.
The problem concerns whether the description of smooth three-dimensional fluid motion modeled by the Navier-Stokes equations can break down. It has remained unresolved for roughly 90 years.
Victor Powell retweeted
Astra for visualizing how a drug works:






















