Article body wasn't reachable. The HN discussion summary is below.
What HN community is saying
A mathematician argues AI's role is overstated; people can choose not to use it, though workplace adoption pressure is increasing. The thread pivots on whether mathematics is primarily about producing correct answers or asking the right questions. One commenter notes that framing math as a "jobs program for nerds" misses the point: fundamental math research is cheap to fund and occasionally yields outsized commercial returns. Others contest whether AI-generated solutions count as proofs or merely data rearrangement, and worry AI will excel at producing meaningless esoteric results humans cannot evaluate. A commenter clarifies that deep research on obscure topics has historically generated surprising breakthroughs like CRISPR.
What HN community is saying
A mathematician argues AI's role is overstated; people can choose not to use it, though workplace adoption pressure is increasing. The thread pivots on whether mathematics is primarily about producing correct answers or asking the right questions. One commenter notes that framing math as a "jobs program for nerds" misses the point: fundamental math research is cheap to fund and occasionally yields outsized commercial returns. Others contest whether AI-generated solutions count as proofs or merely data rearrangement, and worry AI will excel at producing meaningless esoteric results humans cannot evaluate. A commenter clarifies that deep research on obscure topics has historically generated surprising breakthroughs like CRISPR.