Handwritten maths worked example on a university blackboard

Daily Brief: OpenAI drops 372 maths results, Mistral unveils Le Chonk, and SpaceX borrows $40B for Nvidia chips

OpenAI publishes 372 maths results from an unreleased model, Mistral previews its trillion-parameter Le Chonk, SpaceX seeks $40B in debt for Nvidia chips, plus EmbeddingGemma 2, Kolibri and OpenAI's Ironclad deal.

OpenAI dumps 372 maths results from an unreleased model

OpenAI has published 722 manuscripts covering 372 result families, all produced by a frontier model it hasn't released. The claims are big: a solution to the four-dimensional Kakeya conjecture, faster versions of important algorithms, and real progress toward the Riemann hypothesis. Many proofs are already checked in Lean, the proof-verification language, so they're very likely correct. OpenAI told Scientific American that nearly every result came from a single prompt to a single agent, and the average result used roughly three hours of ChatGPT Pro-level thinking. That's far cheaper than the agent swarm behind its earlier Navier-Stokes result. Mathematicians now face months of checking whether the ideas are new or clever remixes, alongside a growing row over credit and transparency. The Verge · Scientific American

What else matters

Mistral previews Le Chonk, its biggest open-weight model yet. Mistral Large 4 is a natively multimodal model with 1 trillion parameters, 49 billion of them active per token. A preview API is live on Mistral Studio now, and the weights are due by the end of October after red-teaming with cybersecurity partners and state authorities. It's the first launch funded by Mistral's €3 billion Series D. Mistral

SpaceX lines up $40 billion of debt to buy Nvidia chips. According to the FT, Apollo will lead about $10 billion in bank loans and $30 billion in investment-grade debt, with Pimco among the lenders in talks. The deal is expected to close in 2027, and it's another sign that the AI build-out now runs on borrowed money as much as on equity. CNA, citing the FT

Google DeepMind ships EmbeddingGemma 2. The open 740-million-parameter model maps text, code, images, video and audio into one 768-dimension embedding space, so you can find a video clip with a voice memo. It's Apache 2.0 licensed and built to run on consumer devices. The first EmbeddingGemma passed 20 million downloads. Unite.AI

Aleph Alpha releases Kolibri, a 78B German-English open model. The Heidelberg lab's mixture-of-experts model is on Hugging Face under Apache 2.0. It was trained on infrastructure in Germany and Finland, with documented data provenance aimed at EU AI Act compliance and public-sector use. Aleph Alpha's pending tie-up with Cohere still needs regulatory approval. Tao Media

OpenAI teams up with Ironclad to train computer-use agents on contracts. It's the first of a few software partners helping OpenAI turn hard business workflows into training and evaluation tasks. Agents have to configure agreements, approvals and reusable legal terms inside specialised software. That's a sign of where GPT-6 Astra-style computer use is headed next. OpenAI