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 DistefanoApr 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 GreenwayApr 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 ValeApr 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 AdebayoApr 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 RamanApr 22, 2026
The moat here is the lab, not the LLM. Anyone can wrap GPT around arxiv, not everyone can run autonomous synthesis.
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Nikhil S.Apr 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
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Raj K.Apr 22, 2026
The scientist who reads one paper deeply still beats the agent that skimmed a million. Depth is not a throughput problem.
Kate RuessApr 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 NgaiApr 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 LindqvistApr 22, 2026
the tweet copy is doing a lot with that 370x number, feels engineered for the quote-tweet dunks. bold move, respect.
Hailey ChenApr 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 MengistuApr 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 RamanApr 22, 2026
Materials discovery plus autonomous labs is the rare category where the AI narrative actually has physical output. Watching this one closely.
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Great video.
Comments (14)
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.
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.
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.
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.
Indexing publications means you've indexed a field's collective mistakes at 370x speed. Congrats on the world's fastest literature echo chamber.
The moat here is the lab, not the LLM. Anyone can wrap GPT around arxiv, not everyone can run autonomous synthesis.
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
The scientist who reads one paper deeply still beats the agent that skimmed a million. Depth is not a throughput problem.
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.
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.
the tweet copy is doing a lot with that 370x number, feels engineered for the quote-tweet dunks. bold move, respect.
Still waiting on the 2014 promise that AI would discover new battery materials any day now. I'll check back in 2031.
Cool, you discovered a novel material. Now tell me who scales the precursor supply and which fab actually wants to retool for it.
Materials discovery plus autonomous labs is the rare category where the AI narrative actually has physical output. Watching this one closely.