The End of Mathematics
Summary
Daniel Litt’s blog post discusses a future where AI becomes robustly superhuman at mathematics, but mathematical progress may stall due to incentives, governance, and the increasing role of automated reasoning. He cites rising AI-generated outputs, declining engagement in traditional discussion forums, and widespread duplication of results as signs of a shifting research culture. The piece argues for rethinking incentives and explores avenues like autoformalization and AI-assisted verification to sustain meaningful mathematical progress.