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Neon AI model is claimed to surpass GPT-6 Astra on an in-house analysis benchmark

Neon's builders describe a loop between their Menlo Park materials labs and AI: experiments generate fresh data, models learn from it, and then help choose what to try next.

Rohan PandeyRP
1 Source, 25d ago, first seen 25d ago

TLDR

Neon's team says it used 1,300 H200s and months of experimental data to further train an open-source model and apply reinforcement learning. The resulting model, Neon, surpassed GPT-6 Astra on the team's own analysis benchmark, it claims. Its initial materials-science focus includes superconductors, magnets and semiconductor materials. A team member also shared a demo described as Neon investigating a real sample from a superconductor lab—hypothesizing about crystal structure, reasoning about synthesis conditions and iterating with tools until it finds a physically realistic solution.

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68.9K

1 Source, first seen 25d ago

580 likes17 comments232 saves54 reposts

Combined views

68.9K

1 Source, first seen 25d ago

580 likes17 comments232 saves54 reposts

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1 Source

Rohan Pandey@khoomeikWatch Neon investigate a real sample from our superconductor lab It hypothesizes about crystal structure, reasons about synthesis conditions, and iterates with tools until it finds a physically realistic solution More and more of science will look like this in coming years25d
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    Liam FedusRohan Pandey

    1 Source

    Rohan Pandey@khoomeikWatch Neon investigate a real sample from our superconductor lab It hypothesizes about crystal structure, reasons about synthesis conditions, and iterates with tools until it finds a physically realistic solution More and more of science will look like this in coming years25d
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