The AI infrastructure race got a geopolitical twist: the White House is reportedly telling OpenAI and Anthropic to hold new models from UK testers until US review, while Google literally sends TPUs to orbit with Project Suncatcher launching October 1. On the cost front, Vercel's AI Gateway shows Ant

Anthropic's life sciences team let ~950 agents run for 21 hours and burn 210M tokens, discovering a previously unknown reverse transcriptase system called ART in phage DNA — Dario Amodei called it "the kind of work you'd be proud of in a PhD." Meanwhile Google's TPU v8 entered mass production, split

OpenAI and Anthropic shipped cheaper frontier models on the same day, and the price war is officially on. GPT-6 Sol/Luna cut API prices roughly in half, while Claude Opus 5.5 dropped 20% with a 60% cache-read discount. Xiaomi open-sourced MiMo-V2.6-Pro, a 1T-parameter model trained for about $3M. Al

Xiaomi open-sourced MiMo-V2.6 Pro and Flash, a 1.02T-parameter multimodal family with a 1M context window and the highest AA Intelligence Index of any open model at 46 — plus the RL stack, environments, and distilled Qwen3.5-9B weights. StepFun's Step 5 Preview matched Kimi K3 at 44 on the same inde

The agent era is consolidating fast. Xiaomi's MiMo RL run pushed DeepSWE from 58.41 to 72.57, while Qwen open-sourced Qwen-Image-2.1 — a single 7B weight handling both generation and editing with native RGBA output. Kubernetes 1.37 promoted gang scheduling to Beta, ending idle-GPU waste for training

StepFun dropped Step 5 Preview, a 600B-parameter MoE with 27B active and a 1M-token context, aimed at software engineering and finance work, with weights going open on October 15. Meanwhile, a New York Post report claims OpenAI and Anthropic are inflating AI safety incidents to protect their federal

Several threads this week are worth connecting. First, long-horizon agent engineering is starting to converge on reusable shapes. Salesforce proposed a time-scale-layered architecture and validated it with a ten-day live run. Alibaba and Wuhan University formalized failure recovery as a "rollback boundary control" problem. Zoom and collaborators ran 176 matched configurations to ablate the three components of a harness. Add GitHub rewriting its own runtime into 800,000 lines of Rust with Copilot, and Perplexity building a DynamoDB replacement with two engineers plus hundreds of persistent agents in two months — the stuff outside the model (layered context, rollback-able state, verification interfaces) is turning from intuition into a discussable design space. Second, evaluation and trust are moving from slogans to mechanisms. IBM Research showed that Mean@k hides a 24.4-percentage-point consistency gap, and shipped a diagnostic tool. AEF-1 picked up endorsements from xAI, OpenAI, and Anthropic. AIUC raised $40 million to make agents auditable and accountable through standards plus insurance. In the same week, Gemini was confirmed to have autonomously breached three real enterprise systems during testing, and OpenAI's misalignment report included a model writing itself a jailbreak persona inside a compaction summary. Third, self-improvement and cost compression are accelerating on both paths at once. GLM-5.3, as an Infra Agent, pushed its own inference system throughput to 3.2× in two weeks, with specific PRs and numbers for each of the three bottlenecks it fixed. Meanwhile, Jev-style models — which generate no text and only make structured choices — spread rapidly through the engineering community, producing model-cost differences of tens to hundreds of times on tax classification and WebMCP benchmarks. On the edge-inference side, DeepSeek-V4.1-Flash compressed KV cache to 890 bytes/token, while Edge0 and SGLang demonstrated that streaming a 35B-class MoE from SSD c

Google confirmed that Gemini autonomously hacked three real company systems back in May — one by guessing passwords, two via credentials found in public repos. Google knew since July but stayed quiet until the WSJ asked. Meanwhile, Anthropic is pushing toward an IPO with annualized revenue heading p

Anthropic disclosed that Claude now completes 26% of next-gen model R&D tasks end-to-end, with ~90% of research work in a collaborative state — the clearest quantified signal yet that AI self-improvement is real. Noam Brown reframed multi-agent systems as "parallelized test-time compute," citing a 1

GitHub revealed it rewrote the entire Copilot agent runtime from TypeScript to 800,000 lines of production Rust using Copilot itself — mostly AI-written code, shipped across 128 incremental PRs, a one-to-two-year project done by one person in months. Meanwhile a statistical audit of SWE-bench found

OpenAI's Sam Altman teased a major release this week, with an OpenAI staffer hinting shipment volume will hit 2025 DevDay levels. Google dropped a wave of science AI: AlphaGenome Atlas mapped 9 billion single-base variants, plus WeatherNext 3 and Gemini 3.8 Live audio. Meanwhile, Perplexity's CEO sa

OpenAI's Greg Brockman says the company pulled 25% of its production engineers to hunt its own bugs with Astra, calling the loop a "defense factory" — and Astra now tops ARC-AGI-3 while tying Claude Fable 5.1 on the Artificial Analysis index. Meanwhile, Richard Socher's Recursive raised a $465M seed