Deep theorems were scarce and difficult and identified deep thought. AI broke it
The rather heated debate in many posts is relatively unusual for mathematics and has led to uncertainty and even some fear in the younger generation whether this will be detrimental for the subject of mathematics and their careers. Don’t listen to unfounded fear-mongering, the situation is much more pleasant, I would even say especially bright, if you are in mathematics today. But mathematics will change fundamentally, you may object.
- ▪The rather heated debate in many posts is relatively unusual for mathematics and has led to uncertainty and even some fear in the younger generation whether this will be detrimental for the subject of mathematics and their careers.
- ▪Don’t listen to unfounded fear-mongering, the situation is much more pleasant, I would even say especially bright, if you are in mathematics today.
- ▪But mathematics will change fundamentally, you may object.
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| Original publisher | What's new |
| Canonical URL | https://terrytao.wordpress.com/2026/09/13/deep-theorems-were-scarce-and-difficult-and-so-became-an-effective-mechanism-to-identify-deep-thought-ai-has-broken-this-system/ |
| Publication time | Mon, 14 Sep 2026 17:49:38 +0000 |
| Retrieval time | 2026-09-14T17:56:51.398Z |
| Last seen | 2026-09-14T17:56:51.398Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | wMdVOODSXUjt · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
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| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
(Just discovered Professor Kra’s post today, very nice, and since I was writing a similar piece with the next generation of mathematicians in mind, I thought I would just copy my draft here, it might add some elements to the discussion). —- There has been significant discussion recently regarding announced breakthroughs on the Navier-Stokes equation using artificial intelligence (AI) assisted methods; a collection of thoughts has been collected/linked on this blog, where most likely you are also going to find more relevant links in the future. The rather heated debate in many posts is relatively unusual for mathematics and has led to uncertainty and even some fear in the younger generation whether this will be detrimental for the subject of mathematics and their careers.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at What's new.
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