AI Tackles Million-Step Math—And Maybe Black Swan Events
AI just went from solving chess games to tackling math problems that take millions of steps. But the real breakthrough? Spotting the unpredictable. If this tech can crack century-old math puzzles, can it also predict the next financial crash or extreme weather event?
Researchers at Caltech developed an AI system capable of solving ultra-complex math problems. The kind that have stumped mathematicians for decades. Using reinforcement learning, the model disproved potential counterexamples to the Andrews-Curtis conjecture, a problem as complicated as solving a 100x100x100 Rubik’s Cube.
Beyond math, the AI’s ability to spot anomalies could lead to:
- Better detection of rare, high-impact events like market crashes or extreme weather.
- New AI algorithms optimized for long-term problem-solving.
- More efficient training; this system ran on a single GPU.
If AI can navigate million-step math puzzles, could it uncover hidden patterns in finance, climate, or even medicine? What industries would benefit most from AI that specializes in the unexpected?
Read the full article on IEEE Spectrum.
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