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Noam Brown on AI · ViralLoop

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Noam Brown@polynoamial

An internal version of Astra, @OpenAI’s next major model family, solved 10 major open problems in mathematics, quantum complexity, and theoretical computer science. We believe it will be a major step for scientific reasoning. t.co

18K likes843 repliesPosted Aug 1, 2026

View the original on X Written by Noam Brown. Captured Sep 4, 2026.

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70

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Based on absolute engagement — the platform doesn’t expose follower counts here, so large accounts score higher.

From likes, comments.

Why it worked

Ends on a short line that is easy to quote and repeat.
Written from experience rather than as advice, which is harder to argue with.
Short enough to read in full without expanding, which removes a step before the point lands.

The mechanics

Hook: Plain observation
Structure: Hook → Landing
Style: Conversational paragraphs at a steady pace.
Tone: corporate
Written for: People building with AI

Analysis by ViralLoop — not written by the original author.

Topics

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More from Noam Brown

The cost of generating the proofs for all 10 of these breakthroughs combined was under $2,000 at Sol API prices. We’re excited to see what scientists and researchers are able to create with our upcoming Astra models!

Andrej @karpathy is back in the game! I would have loved for him to rejoin @OpenAI, but I'm happy he's at any frontier lab pushing the field forward. It’s easy to frame this as zero-sum among the labs, but in truth we’re collectively advancing the most important tech of our era.

After 100 million tokens, performance was still going up. What we're seeing here is not the capability ceiling. From the report: "Performance on TLO continues to scale with the amount of inference compute spent, and we have not yet observed a plateau with the best models."

I'm a manager at @OpenAI, but with GPT-5.5 I'm a more effective IC than I've ever been. I can now write CUDA kernels like a pro. I can rely on it to run my research experiments. And we know how to make it much more powerful from here.

A family friend recently lost $1,000 to a phishing email. Afterward, I ran it through ChatGPT and it easily identified it as a scam. I hope Gmail prioritizes better phishing detection as they start to integrate LLMs. It would be the most impactful feature they could add.

Memory isn't just another product feature. It signals a shift from episodic interactions (think a call center) to evolving ones (more like a colleague or friend). Still a lot of research to do but it's a step toward fundamentally changing how we interact with LLMs.