Summary

Recent AI breakthroughs where models solved decades-old mathematical conjectures—with minimal human guidance—illustrate a new mode Stancil calls 'brute intelligence': iterative hypothesis generation and testing at machine speed, distinct from both human reasoning and dumb brute force. Unlike brute force (exhaustive enumeration), brute intelligence resembles 'a million scientists in a million labs,' and sufficient speed becomes functionally indistinguishable from superior intelligence. This suggests a broader strategic imperative: restructure problems into verifiable, closed-box forms so AI can solve them autonomously in the background.

Key Insight

The most valuable response to AI's emerging 'brute intelligence'—iterative hypothesis testing at machine speed—is not better prompting but actively restructuring problems into verifiable, closed-box forms that AI can autonomously solve.

Spicy Quotes (click to share)

• 6

  It's not necessarily smarter than today's mathematicians, but it's faster—and if it's fast enough, what's the difference between that and smarter?

• 7

  There are now two ways to do something: By doing it, or by turning it into something that's shaped like math, and having a computer do the rest.

• 6

  It's a new form of brute force: Not brute force...but brute intelligence, akin to having a million scientists working in a million labs, all taking swings at the same thing.

• 5

  Our current LLMs are decent cars, but we have very few roads that are designed for them to drive on.

• 4

  Leverage comes from where you put the fulcrum as much as it comes from the weight that you use. Change the problem to make it easy for AI to solve.

Tone

analytical, curious, quietly urgent