Science & Math

OpenAI drops Caltech math hackathon after mathematicians cry 'slop'

The Arena

OpenAI drops Caltech math hackathon after mathematicians cry 'slop'

The friction between AI and its neighbors is getting legal teeth this midday: a lab retreats from academia's loudest critics, an infrastructure startup hires a lab's alumni for its IPO run, and a Chinese court puts a prison term on jailbreaking a model. OpenAI has withdrawn its sponsorship of the Caltech Mathathon, the student-run hackathon for research-level mathematics, after an open letter from mathematicians accused AI companies of advancing a campaign of "slop mathematics." The event …

Princeton's Mengdi Wang: LLMs haven't made a real scientific discovery yet

The Frontier

Princeton's Mengdi Wang: LLMs haven't made a real scientific discovery yet

The models that cracked competition math still can't find a new particle — and Princeton's Mengdi Wang thinks she knows why. Large models learn "the most likely" answer, and science lives in the long tail. That was the core of a keynote from Mengdi Wang, director of Princeton's Center for AI Innovation, at the Inclusion·Bund Conference in Shanghai on September 10: the training method behind today's LLMs has conquered math and coding but, in her words, still hasn't produced a genuinely new…

Mathematicians ask whether OpenAI can be trusted with unpublished math

The Guardrails

Mathematicians ask whether OpenAI can be trusted with unpublished math

The Navier-Stokes credit fight has produced a second, quieter accusation — and it may matter more than the first. Mathematician Andreas Thom says OpenAI gave him a misleading answer about whether his private work fed its models. After OpenAI announced a result on the non-sofic group problem — work built on methods from Thom and Gábor Kun — Thom emailed OpenAI researchers asking two explicit questions: whether his months of conversations with ChatGPT about the problem had entered training data…

GigaChat 3.5 Reasoning lands under MIT — and beats DeepSeek on math

The Frontier

GigaChat 3.5 Reasoning lands under MIT — and beats DeepSeek on math

Sber's GigaChat team has open-weighted a 432-billion-parameter reasoning model under an MIT licence, and the numbers put it within touching distance of DeepSeek V4 Flash. GigaChat 3.5 Reasoning runs 28 billion active parameters, trains natively in FP8, and mixes multi-head latent attention with GatedDeltaNet linear-attention layers — a hybrid aimed squarely at long-context cost — with a 262K-token window and three speculative-decoding heads bolted on.

ByteDance is building a real-time spatial video model

The Frontier

ByteDance is building a real-time spatial video model

Two stories this morning that point the same direction: AI's next arena is the space you can walk into, not the text you read. ByteDance is developing a real-time spatial video model, and founder Zhang Yiming is personally running it. Bloomberg reported that the system builds on the company's Seedance video model and generates interactive virtual environments — worlds that change as the user moves and speaks — rather than pre-rendered clips.