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Nicolas Bustamante (@nicbstme) claims a general AI model (not built specifically…

2026-08-01 · 09:14 UTC ·@ShanuMathew93 ·1 min read

Brief

Nicolas Bustamante (quoted by @ShanuMathew93 on 2026-08-01) argues a general AI—not a math-specific model—has proved genuinely new theorems and that the hardware/software cost of that capability will fall from a few thousand dollars to a few cents in years. He predicts millions of cheap, always-on systems will shift scientific scaling from people to compute, accelerating verifiable discovery across math, physics, biology, and chemistry.

Why it matters

Nicolas Bustamante (@nicbstme) claims a general AI model (not built specifically for mathematics) has produced genuinely new theorems (post referenced 2026-08-01).

Key details

  • Bustamante asserts the level of capability that currently costs “a few thousand dollars” will drop to “a few cents” in a few years, enabling millions of such systems to run 24/7.
  • The post frames a paradigm shift: scientific progress will stop scaling primarily with the number of scientists and instead scale with available compute, accelerating discovery across math, physics, biology, and chemistry.
Source evidence

Get excited.

“For centuries, science scaled with the number of scientists. Soon, it will scale with compute and a lot of compute is coming online!”

Nicolas Bustamante (@nicbstme)

Well, if anyone still needed proof that every verifiable domain will eventually fall to AI, this feels like it.We’re not talking about a model built specifically for mathematics. It’s a general model proving genuinely new theorems.

The craziest part isn’t even today’s result. It’s that the same level of capability that costs a few thousand dollars today will likely cost a few cents in a few years. Once that happens, we’ll have millions of these systems searching for new knowledge 24/7 across math, physics, biology, chemistry, and every other domain where ideas can be verified.

For centuries, science scaled with the number of scientists. Soon, it will scale with compute and a lot of compute is coming online!

— https://nitter.net/nicbstme/status/2083467611229049294#m