AI DeSci Guy

Here is a potential roadmap to reversing aging by 2040, created by GPT-6 Pro with Image 2.5. It is important to point out that we will already reach longevity escape velocity by around 2035, so if you can make it to then, you are very likely to live for hundreds of more years!

we are working with hospitals and labs starting with thousands of patients' records and expanding across clinical notes, imaging, pathology, molecular data and experimental results & we’re just getting started if you're building Al for bio, would love to chat also hiring across the team- let’s build together :)

The end game of centralized AI labs is to take their customers' business ~ Mistral's CEO & Co-Founder Arthur Mensch "If if we end up in a world where all companies need to rely on two or three providers that are centralized AI providers that give them enormous leverage, they will use the data uh that is being produced by the systems to make better systems and to go after the business of their customers, because at the end this is this is the end game. This is pretty clearly what is being priced in today." ---- Full video on "20VC with Harry Stebbings" (@HarryStebbings) YouTube channel, (link in comment)

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Nvidia faces a class action after Jensen Huang admitted an affair with a suspected spy. The complaint alleges that Jensen Huang had an affair with a suspected Chinese spy who also has a role at Megaspeed, which is suspected of helping China evade export controls, so Nvidia’s statements about its relationship with Megaspeed were materially false and misleading. Huang’s own words are now evidence too, because the suit lists his October 30, 2026 line to Bloomberg: “We’ve studied all their deployments of our GPUs and counted every one.” The suit cites a spokesman’s October 29 claim that Huang’s interactions with Alice Huang, a former Megaspeed executive, were “not unusual or unexpected.” US intelligence reportedly concluded she was recruited by China’s Ministry of State Security, though that hasn’t been publicly proven.

Autonomous wet-labs about to go parabolic… been on this since 2020 btw

SPECIAL PROJECT - i am building one of these in SF looking for young, cracked bio + ml talent to run it dm if you think that's you / know who that is

The next gains in AI drug discovery will come from tighter design-to-experiment loops, not bigger models alone. Our new collaboration with @PierreFabre puts this into action: de novo small-molecule design, tightly coupled with robotic lab feedback in multiple #Oncology programs.

Hm

Another new podcast: youtube.com/live/uxbVlkAbuCo…

Google published a paper that might end the PhD. It’s called “ScientistTwo” For centuries, the bottleneck to human knowledge has been the human brain. It takes five years of grueling labor to read the literature, find a gap, formulate a hypothesis, run the experiments, and write the paper. But, Google automated the entire pipeline. They built an AI that reads a problem, forms hypotheses, runs experiments, writes the paper, AND simulates its own peer review. no human touches it. It reads millions of papers to find blind spots in the current science. It generates novel hypotheses. It designs the experiments. It writes the code to test them. When the code fails, it debugs itself. When the results come in, it analyzes the data, generates the charts, and writes the final academic paper. It even simulates a brutal peer-review process to critique and improve its own work before it considers the project finished. This isn't an LLM summarizing a PDF. This is a fully autonomous digital scientist. What takes a human candidate half a decade of massive intellectual effort... the AI accomplishes in a fraction of the time, at a fraction of the cost. The implications are staggering. If you can spin up 10,000 autonomous researchers overnight, the rate of scientific discovery is about to go vertical. We are moving from artisanal, human-speed research to industrialized knowledge creation. But it raises an uncomfortable reality for academia. When an AI can read the literature, design the experiment, execute the code, and write the paper... What exactly is the human supposed to do?

Ginkgo sold its first autonomous lab to Novo Nordisk — not a paper, a purchase order. In its Q3 2026 results (5 Nov), Ginkgo said Novo Nordisk selected it to build an autonomous lab at Novo’s new Waltham, Massachusetts R&D site. This is hardware plus software (RAC + Catalyst) going into a pharma’s own U.S. lab — not another services-only CRO story. Hard readout → First announced autonomous-lab sale to a top-tier pharma company → CEO Jason Kelly: the U.S. government is now treating autonomous labs as national infrastructure; the Novo deal “sends a signal to all the other companies in the industry” → Q3 revenue $28M (−6% year over year); cash, cash equivalents and marketable securities $285M as of 30 Sept 2026 Worth reading when the question is who is actually buying AI-native wet labs, not who is publishing them. 📄 Earnings PR (SEC): sec.gov/Archives/edgar/data/… 🎧 Earnings call: fool.com/earnings/call-trans… #AIforScience #LabAutomation #Biopharma