Mathematicians ask ‘where do we come in?’ as AI cracks unsolvable problems
- ID
- 37786
- Status
- summarized
- Published
- 21 Oct 2026, 1:40 PM
- Fetched
- 21 Oct 2026, 2:15 PM
- Provider
- Malay Mail Tech
- Category
- malaysia-tech
- Original URL
- https://www.malaymail.com/news/tech-gadgets/2026/10/21/mathematicians-ask-where-do-we-come-in-as-ai-cracks-unsolvable-problems/240013
- Source URL
- https://www.malaymail.com/feed/rss/tech-gadgets
Summary
- Score
- 3.5
- Created
- 21 Oct 2026, 2:16 PM
- Tags
- Audience
- ai_ml_learnersdeveloperssaas_founders
What happened
An AFP-sourced piece reports that announcements over recent months claiming AI models have cracked previously unsolvable mathematical problems have unsettled senior mathematicians, with the article's framing question being "where do we come in?". Mathematician Stephane Mallat is cited arguing human mathematicians remain necessary for clear thinking and for teaching. The Simons Foundation is reported to have announced a $15-million initiative to help mathematicians understand the shift. The text names no specific problems, models, or benchmarks.
Why it matters
There is nothing here you can act on technically: no named theorems, no model names, no verification method, so don't cite this as evidence that AI has 'solved math'. The one concrete item is the Simons Foundation's $15-million programme — a signal that funding is moving toward mathematicians working with AI, which is where research-adjacent tooling and collaboration grants will likely appear. If you ship AI features that make correctness claims, the useful takeaway is the verification gap the article implies: a claimed proof is worthless without independent checking.
Discussion angle
When an AI output claims to have solved something, what is your verification step before you trust or ship it — and does your team have one at all?