DeepSeek's $7.4B Series A redraws who bankrolls Chinese frontier AI — Tencent in, Alibaba and ByteDance out.
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Anthropic's robodog rerun is the week's clearest capability-gain data point: Opus 4.7, fully autonomous, did the Project Fetch tasks ~20x faster than the fastest human team did a year ago.
The US restricted Anthropic's new Fable model to US persons — and the real consequence is pushing the rest of the world toward Chinese open weights.
Z.ai's GLM-5.2 is now the best open-weights model on the planet, trailing only Claude Fable 5 on agentic web-dev.
A 3B dense model lands AIME26 at 94.3 and claims parity with flagship reasoners, while OpenAI ships a method to preview model behavior before deployment.
An OpenAI model autonomously solved an 80-year-old Erdős problem from a single prompt — the first time a prominent open question central to a math subfield was cracked by AI rather than merely assisted by it.
The White House forced Anthropic to suspend Claude 5 over a jailbreak-plus-cyber concern — the moment AI governance stopped being voluntary.
The US has ordered Anthropic to cut off all foreign nationals — including its own employees — from its frontier models on national-security grounds.
MiniMax's M3 stack arrives all at once — a sparse-attention kernel that cuts 1M-context attention compute 28x and a proof engine that clears human gold-medal thresholds on IMO and USAMO.
OpenAI buys Ona to give Codex a persistent place to run — the agent-infrastructure land grab is now louder than the model race.
Google ships DiffusionGemma, the first open-weight diffusion LLM fast enough to actually use — 1000+ tok/s on an H100, Apache 2.0.
Anthropic shipped its smartest model twice — once with safety classifiers (Fable 5) and once without (Mythos 5) — and the silent degradation of 'frontier AI' requests is the real story.
Apple's third-generation Foundation Models confirm it stopped trying to win frontier AI alone — the capable tier is Gemini-derived and runs on NVIDIA GPUs inside Google Cloud.
A genuinely quiet news cycle with no lab announcements, no model drops, and no compute deals — the only real signal is a cluster of papers shaving an order of magnitude off video and embodied-AI inference.