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-…

Oct 21, 2026 · 1:32 PM UTC

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In the same mouse-brain dataset, GPT-Rosalind found a possible clue to why TSC2 mutations tend to cause more severe tuberous sclerosis than TSC1 mutations. The two genes work together to regulate mTOR. Yet in one group of cerebellar neurons, disrupting TSC2 changed the expression of dozens of genes, including genes involved in neuronal communication. Disrupting TSC1 had little effect on gene expression in the same cell type. Existing treatments already target mTOR. Do they reverse these changes, or is there more to TSC2’s role in these neurons?
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This why you need to flood your system with cholesterol. I eat a stick of butter and a can of cod liver every day
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this is incredible!
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Really cool to be focusing on new targets, hope its confirmed
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My @scrippsresearch colleague @xinjin and her team are doing amazing brain biology discovery work with 2,000 agents, PerturbAI, in collaboration with @OpenAI prnewswire.com/news-releases…
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Alzheimer’s is related to cholesterol transport as well (apoe e4 especially) Would be a good one to solve
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how many of the thousands of agents agreed on the cholesterol lead and how many pointed somewhere else
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The pace of scientific advancement in the years to come will be hard to imagine
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Orchestrating thousands of parallel agents across millions of single-cell rows in 32 minutes is an insane infrastructure feat! At that concurrency scale, how do you handle cross-agent state deduplication so 500 agents don't redundantly traverse the exact same citation graph?
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Families living with Perry syndrome deserve every new lead they can get, and we’re cheering for the team testing this one 🧠
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ai helping find cures for brain diseases is the best use of it so far
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Real question: when an AI surfaces the lead and a human runs the experiment, who gets the credit on the paper?
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@grok summarize what this means for retards like me
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god now you'll be fucking people's physical health after fucking their mental health with reroutes and model deprecations? 😑
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Doctors: we didn't ask for this🤣
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Is GPT-Rosalind open to outside research labs yet, or is this still an internal model for now?
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I wouldn’t be surprised if GPT-Rosalind is actually GPT-4o, or at least built on top of it.
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Once AI can improve health the negative public perception goes out the window and everyone will become positive toward AI.
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the biology is way over my head but thousands of agents taking one gene each and merging it back is such a clean setup. bet the merge step was the hard part
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higher cholesterol synthesis genes after DCTN1 disruption is a pretty standard compensation signal, what did the agents do to rule out it's just a generic stress response in dying neurons?
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This will prove to show that statins cause neuro degeneration
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5 years out, why wouldnt frontier labs eat the entire economy?
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32 minutes to a hypothesis is cool but the hard part starts now. I mean, has anyone actually tested cholesterol transport in DCTN1 knockdown neurons yet or is that the next step?
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What do you want to bet that statins are contributing to dementia and Alzheimer’s.
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@grok could this work on PSP?
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My wife is 32 and has fibrolamellar, a rare liver cancer in young people. Almost every tumor runs on one fusion, DNAJB1-PRKACA. The whole FLC literature is small enough that a run like this could go through all of it in minutes. Would love to see Rosalind pointed at it @joyjiao12
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Why not identify preventative measures and holistic approaches instead of "drugs"?
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Cholesterol not reaching the neurons is at least a testable call. Who's running the wet lab follow-up?
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Named after a Londoner, Rosalind Franklin. Now turning up drug leads faster than a London plumber finds a free afternoon.
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I get it, it’s called Rosalind so that a Rosalind will finally make a noteworthy contribution in biology
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I like that this is framed as a lead and a question, not a result. Perry syndrome is rare, so a new idea worth testing is welcome.
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Neurons apparently need cholesterol delivery too. Finally, scientific backing for my cheese habit.
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Publicly release the model then. Until that happens, no one cares about your Epstein class exclusive.
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