Language EN

❗️The biotech rabbit hole is getting strange

AI Post — Artificial Intelligence, @aipost

Open in Telegram
#8285Text

❗️The biotech rabbit hole is getting strange The wild part of AI in biology right now isn’t that models can predict proteins.It’s that the entire research loop is starting to close. This week alone: • Stanford ran a virtual biotech with 37,000 AI agents that generated and tested hypotheses at a scale humans couldn’t realistically match. One proposed cancer therapy was later independently confirmed by a pharmaceutical company seven months afterward. • Novo Nordisk revealed it now has 600+ AI and digital employees and more than 30 AI partnerships embedded in its actual R&D operation. • Nvidia-backed Iambic filed for a US IPO with an AI-designed oncology drug already in clinical development, alongside a new partnership with AbbVie. • A model trained on 20,000+ private pharmaceutical protein structures reportedly outperformed public models, raising a potentially bigger question: is proprietary biological data becoming the real moat? • Stanford trained a cell model on 112 million cells across 12 species, pushing toward something closer to a general-purpose model of biology. • Anthropic is even operating a molecular-biology lab where humans and AI agents generate hypotheses and run physical experiments. And that points to a strange new bottleneck. AI may soon be able to generate biological hypotheses faster than scientists can physically test them. At that point, the limiting factor isn’t just intelligence. It’s data, lab capacity and the speed at which reality can catch up with the machines. @aipost 🏴

Open in Telegram
Views2,361−36%vs avg
Forwards19
Reactions20
Comments2

Views growth

Hours after publication

Show as table
Hours after publicationViews
0 h0
1 h754
6 h2,361
  1. After 1 hour754
  2. After 6 hours2,361
  3. Total to date2,361

Mentions@aipost

Reactions

  • 😡5
  • 😨5
  • ❤4
  • 🔥4
  • 👍2

More from AI Post — Artificial Intelligence

  1. 01

    📈 Data-center spending is greater than that for the canals, railroads and grid combined. AI infrastructure investment is projected to average 3.63% of GDP annually from 2025 to 2032. Railroads averaged 2.24% during their build-out. Highways reached 1.13%, and telecom and fiber 1.1%. Its the biggest investment bet in the history. @aipost 🏴

    Photo
    Views7.13K
    Forwards65
    Reactions888
    Comments4
  2. 02

    🤖 OpenAI may be preparing a $500/month ChatGPT plan OpenAI appears to be testing a new ChatGPT Pro Max subscription priced at $500/month. The plan reportedly offers higher usage limits and faster responses, with the main upgrade described simply as “Fastest Work and Codex.” @aipost 🏴

    Video
    Views6.67K
    Forwards43
    Reactions667
    Comments10
  3. 03

    🗣Peter Thiel says even a 5-10% chance of AI extinction is better than a world with no growth "I don't think the probabilities are very high. On the other hand, if the probability is even 5% or 10%, that seems pretty bad." "It doesn't necessarily follow that you should always go slower and always go in the precautionary direction, because if you do nothing, if there is no progress on any dimension, I don't think our societies work at all." "The intergenerational progressive compact in our society was that there was progress from one generation to the next. Maybe economic progress, material progress, progress in health. And when that breaks down, I think the whole society starts to derange in very, very strange ways." "There's a picture that people implicitly have that the alternative to AI, let's say, a zero-growth world where there's no progress at all, will somehow be this peaceful, social democratic society. And I don't think that's true." Mathias Döpfner: “If America is slowing down and China is accelerating, we are just strengthening China, but it's not solving anything." @aipost 🏴

    Video
    Views6.24K
    Forwards50
    Reactions80
    Comments10
  4. 04

    Mark Zuckerberg says AI agents may soon be able to attend meetings “embodied” as holograms @aipost 🏴

    Video
    Views6.08K
    Forwards54
    Reactions8
    Comments11
  5. 05

    SpaceXAI could hit 1M GPUs next week 🚀 SpaceXAI is reportedly on track to have 1 million GPUs online next week, climbing to 1.44 million by year-end. The reported breakdown: • Colossus 1: 150K H100 + 50K H200 + 30K GB200 • Colossus 2: 110K GB200 + 440K GB300 • +220K GB300 next week • +220K in November • +220K in December That would mean 660,000 GB300 GPUs coming online in just 90 days. @aipost 🏴

    Photoalbum
    Views4.93K
    Forwards26
    Reactions89
    Comments0

All posts of AI Post — Artificial Intelligence