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AI & ML · Materials Science / Advanced Materials

Radical AI

Removing the bottlenecks to scientific progress through autonomous, closed-loop discovery.

We discover and develop novel materials with artificial intelligence + automated labs.
New York City3.7K followers
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Comments (14)
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Marcus Vale4/22/2026

370x faster than a human scientist is a bold claim when my grad school advisor moved at roughly 0.2x. So technically I've been beating humans for years too.

Terry Distefano4/22/2026

Reading millions of papers is the easy part. The lab robots not setting themselves on fire is the part I'd like a demo of.

Olive Greenway4/22/2026

ok wait, closed-loop discovery with actual wet lab automation is the part everyone hand-waves. if the robots are real this is actually spicy.

Marcus Vale4/22/2026

The launch video pacing felt like a Bond trailer for a beaker. I'm into it but also laughed when the pipette got a hero shot.

Kofi Adebayo4/22/2026

Indexing publications means you've indexed a field's collective mistakes at 370x speed. Congrats on the world's fastest literature echo chamber.

Priya Raman4/22/2026

The moat here is the lab, not the LLM. Anyone can wrap GPT around arxiv, not everyone can run autonomous synthesis.

Nikhil S.4/22/2026

naive question but what happens when the agent cites a paper that got retracted? does it just quietly update or do we get a little robot apology

Raj K.4/22/2026

The scientist who reads one paper deeply still beats the agent that skimmed a million. Depth is not a throughput problem.

Kate Ruess4/22/2026

Love the positioning but one more thing for the roadmap: let me watch the agent's reasoning trail when it picks a candidate material. Founders always underestimate how much researchers want to argue with the AI.

Mike Ngai4/22/2026

The tweet says 370x but doesn't define the benchmark. Faster at what, exactly, literature review or actual validated discovery? Those are very different SLAs.

Emma Lindqvist4/22/2026

the tweet copy is doing a lot with that 370x number, feels engineered for the quote-tweet dunks. bold move, respect.

Hailey Chen4/22/2026

Still waiting on the 2014 promise that AI would discover new battery materials any day now. I'll check back in 2031.

Dawit Mengistu4/22/2026

Cool, you discovered a novel material. Now tell me who scales the precursor supply and which fab actually wants to retool for it.

Priya Raman4/22/2026

Materials discovery plus autonomous labs is the rare category where the AI narrative actually has physical output. Watching this one closely.