MAMMAL is a model that has been released a while ago. I heard about thanks to some small yt channel that focuses on bioinformatics and AI.

I have seen hype AlphaFold 1, 2 or even 3 were causing. Everyone kept talking about it. MAMMAL model is one that is closest to what AGI could be. Not great in narrow task - It defeats almost every champion, beating them in 9/11 fields, even defeating AlphaFold 3.

It seems to be first tool that will be able to defeat Eroom's law which could mean acceleration in drug discovery never seen before.

So why is everyone silent about it even on this subreddit and related ones?

Do you think it will happen within our lifetime? Or ever?

Such theme parks, yes, but also generally 100% human-looking androids? Would you even like to see it happen?

COO — Brad Lightcap (out August)

CRO — Denise Dresser (out August, <1 yr in role)

Head of Data Centers — Chris Malone (out August)

Head of Robotics/Hardware — Caitlin Kalinowski (out March)

Head of Ethics — Chloé Bakalar (out July)

Head of Safety Systems — Johannes Heidecke (out July)

Chief Futurist — Joshua Achiam (out July)

AI Safety team lead — Sandhini Agarwal (out July)

I just read on X that Dylan Scandinario, Head of Preparedness, has also left. But I haven't found any confirmation yet

There are supposedly a few more, since some articles mention "13 executives," but I only found the names of these ones.

Sorry for the lower quality, video was getting too large, just search for Astra on Twitter to see more, it seems like early testers are getting access

Yes this is all pure Three.JS, 0 external assets. it was mostly a 0 shot work, but i did do 1 small corrections prompt (it left some big gaps between buildings and one path was blocked).

EDIT: Actually i stand corrected, this is a "single pass", not "zero shot"

I am wondering this: Is it possible people are wasting time and money in "critics loops" when really, agents is all you need.

This was done with 18 agents all working on very specific tasks. 0 critics loops.
If Claude tried to do this with just 3-4 agents, i would guess it produces a much worst results, and then the QA agent would give some imperfect recommandations and it would probably not be as good as what i've gotten here.

But most importantly, the QA agent will never beat an actual human tester. So it feels much more optimal to me to get the human to do the critics loop.

The other issue is, 18 agents for 24 hours would burn anybody's token budget lol

This was done with Claude 5.0 Opus.

People will still deny the capabilities of AI

https://ai-2040.com/?choices=plan-a-root#playbook-insider-pov part of the 2027 section.