SignalTech/AI
A look at the math that OpenAI claims computes faster Fourier transforms
OpenAI claims faster Fourier transform math, signaling potential AI-driven compute optimization.
Context
What happened: A blog post examines OpenAI's math repository claim of a faster Fourier transform, arguing it is a galactic algorithm rather than a practical breakthrough.
Key numbers: OpenAI's estimated constant C was 10^100 when N=10^12. The post says the Cooley-Tukey FFT would be 10^99 times faster even at n=10^100.
Why it matters: The post argues big-O notation hides unfathomably large constants, so the algorithm is only asymptotically faster and runs faster only at impossibly large n. It cites Lipton and Regan that galactic algorithms can still spur research.
What changed
A blog post examines OpenAI's math repository claim of a faster Fourier transform, arguing it is a galactic algorithm rather than a practical breakthrough.
Why it matters
The post argues big-O notation hides unfathomably large constants, so the algorithm is only asymptotically faster and runs faster only at impossibly large n. It cites Lipton and Regan that galactic algorithms can still spur research.