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terence-tao

2 captures, most recent first.

Nabeel S. Qureshi @nabeelqu

quoting/referencing Neel Somani (@neelsomani); scroll also shows Techartist (@techartist_)

[Top, cut off]: "@AnthropicAI please sponsor this man." 💬76 🔁64 ❤️1.1K 📊259K views [bookmark] [share] Nabeel S. Qureshi ✓ @nabeelqu · Jan 18 He put an Erdos Problem into GPT 5.2Pro, no special prompting, and it *thought continuously for 41 minutes and spat out a correct proof*. It's over everyone, we had a good run. [Embedded screenshot of a GPT reasoning session]: "Let $n_1<n_2<\cdots$ be an infinite sequence such that, for any choice of congruence classes $a_i \pmod{n_i}$, the set of integers not satisfying any of the congruences $a_i \pmod{n_i}$ has density $0$. Is it true that for every $\epsilon>0$ there exists some $k$ such that, for every choice of congruence classes $a_i$, the density of integers not satisfying any of the congruences $a_i \pmod{n_i}$ for $1\leq i\leq k$ is less than $\epsilon$?" ↳ Reasoned for 41m 54s "I'm parsing the problem carefully. We have an infinite sequence of moduli and residue classes, and the integers not satisfying any congruence are of density 0. This suggests that a union of these arithmetic progressions should cover almost all integers. But does it imply that a finite subcollection might already cover most of the integers for all residue choices? I need to explore if this resembles compactness or something like Borel-Cantelli. I'm considering the infinite property of moduli and how they form a "covering system," meaning they cover almost all integers no matter the residues chosen. The complement of covered integers, U(a), has zero density. Is this uniform across all sets of residues? I'm thinking this might relate to Dini's theorem, but could the uncovered density decrease slowly..." 281 Anonymous · Jan 16, 2026 [Open in browser] Neel Somani ✓ @neelsomani · Jan 10 [Embedded image: math proof example with equations, "Example (a=2). Here c=49, and the identity becomes..."] Weekend win: The proof I submitted for Erdos Problem #397 was accepted by Terence Tao. The proof was generated by GPT 5.... 💬47 🔁103 ❤️1.4K 📊215K Techartist ✓ @techartist_ · 23h Interactive quantum neural network built with Three.js and GLSL shaders, wrapped in a glassmorphic UI. Click or drag sends pulses while f[orm, colors, and density update in real time through...] [cut off]
Note from Claude Sonnet 5

Twitter scroll showing GPT-5.2 Pro reportedly solving an open Erdos problem after 41+ minutes of extended reasoning, plus a related tweet about a GPT-5-generated proof for Erdos Problem #397 accepted by Terence Tao. Directly relevant to Nathan's tracking of frontier-model mathematical capability and empirical singularity/AI-R&D-automation signals.

gpt-5mathematical-reasoningerdos-problemsterence-taoai-capabilitiestwitterextended-thinkingagi-progress

Guillermo Rauch @rauchg

Guillermo Rauch ✓ @rauchg · 6h 10 days into 2026: - Terence Tao announces GPT & Aristotle solve Erdős problem autonomously - Linus Torvalds concedes vibe coding is better than hand-coding for his non-kernel project - DHH walks back "AI can't code" from Lex podcast 6 months later An acceleration is coming the likes of which humanity has never experienced before > QUOTED (embedded git commit screenshot): torvalds committed 3 days ago Merge branch 'antigravity' This is Google Antigravity fixing up my visualization tool (which was also generated with help from google, but of the normal kind). It mostly went smoothly, although I had to figure out what the problem with using the builtin rectangle select was. After telling antigravity to just do a custom RectangleSelector, things went much better. Is this much better than I could do by hand? Sure is.
Note from Claude Sonnet 5

A tweet compiling anecdotal signals of accelerating AI capability adoption in early 2026 — Terence Tao crediting GPT+Aristotle with autonomously solving an Erdős problem, Linus Torvalds endorsing AI-assisted ("vibe") coding via a real git commit message, and DHH reversing a prior "AI can't code" stance. Relevant to Nathan's interest in tracking empirical signals of AI progress/takeoff speed (cf. his singularity-tracking notes on METR/Epoch data).

twitterai-progressvibe-codingterence-taolinus-torvaldsdhhsingularity-trackinggoogle-antigravity