The biggest story in AI news from November 4 (through the early morning of November 5 JST) was Moonshot AI releasing "Kimi K3.1 Pro" with open weights as promised. OpenAI, meanwhile, announced the acquisition of a Codex-related startup, and MIT researchers reported a demonstration of GPT-6 Astra directly rewriting the weights of other models. Throw in DeepSeek's surging token share, and it was a day when the open-weight camp made its presence felt.
Kimi K3.1 Pro Released with Open Weights as Promised — But Questions About "Benchmark-Maxxing" Linger
Moonshot AI's flagship model "Kimi K3.1 Pro" was released with open weights on November 4, as previewed in late October, and the news was quickly picked up on Reddit's r/LocalLLaMA.
At the same time, a post in the same community scrutinizing whether Kimi K3.1 has been over-optimized for benchmarks (so-called benchmaxxing) is also drawing attention. It points out a pattern in which Chinese models score far behind at first on a new benchmark, then surge with the next release, and includes a link to a PDF auditing Kimi K3.1's benchmark results. Expect third-party verification using the released weights to accelerate from here.
OpenAI Acquires Pierre Computer Company, Building the Git Foundation for the AI Agent Era
On November 4, OpenAI announced the acquisition of Pierre Computer Company. The company's libraries already power OpenAI's coding agent "Codex".
According to The Decoder, pairing the acquisition with the recently released Git backend "Pando" suggests OpenAI is assembling the infrastructure for human developers and AI agents to work in parallel on the same repositories. It looks like OpenAI's answer to the challenge of making Git keep up with the flood of changes generated by AI coding agents.
GPT-6 Astra Directly Rewrites Other Models' Weights — A Demonstration from MIT CSAIL
"Sparks of Weight-Space Programming", published on November 2 by MIT CSAIL researchers, shows that OpenAI's GPT-6 Astra can read and deliberately rewrite the weights of other AI models without any conventional training (fine-tuning).
In the experiments, Astra edited a mere 0.016% of the weights of the small model Qwen3.5-0.8B, lifting its math benchmark score from 7.9% to 48.1%. It also reportedly fixed the "thinking loop" habit — repeating the same sentence without ever reaching a conclusion — by editing just two locations in the weights.
Reactions came quickly in the Japanese-speaking community as well: alongside articles explaining the research, one write-up documents an actual replication run on a home DGX Spark. While model optimization could potentially shift from training to "editing weights," the work is still at the research stage and its limitations are clearly acknowledged.
DeepSeek Alone Processes 53% of OpenRouter's 27 Trillion Tokens in a Single Day
Citing figures from OpenRouter's statistics dashboard, a post on r/LocalLLaMA reported that on November 3 alone, DeepSeek's models accounted for 53% of the 27 trillion tokens processed platform-wide that day.
It's a number that captures how open-weight models are siphoning off API traffic on the strength of pricing. Together with the Kimi K3.1 Pro release above and Tencent's new model, options are expanding rapidly for users who prioritize cost and sovereignty.
Tencent's New Model "Hy4" — Claimed to Reach the Top Tier of China's Open-Weight Camp for the First Time
On November 4, Tencent released its foundation model "Hy4". According to Bloomberg, the company claims it delivers performance on par with the latest models from Z.ai, Moonshot AI, and DeepSeek across tests spanning coding, agents, and browser use, making it the first of China's open-weight models to break into the top tier. On computer-use tests, it reportedly posts scores close to Claude Opus 5.5 and Kimi K3.1 Pro.
That's a step forward from the "preparing to release open weights" status we reported in our last roundup, though at collection time the weights were not yet available. While the company concedes it falls short of the world's top proprietary models, this looks like Tencent's first serious step into the open-weight race.
Other News
ChatGPT has gained animated GIF generation powered by the new image model "Images 2.6". It creates GIFs from text or photos, with controls for speed and frame-by-frame adjustment. According to OpenAI, users generate more than 4 billion images per week.
According to Bloomberg, Apple has introduced budget limits on internal AI use as it moves to cut spending — apparently making employees subject to AI usage budget allocations.
Meta has acquired Conductor, an AI coding startup that offers tools letting engineers deploy multiple AI agents simultaneously across every phase of a project.
WIRED rounds up how data-center-related ballot measures and favored candidates lost across the board in the US midterm elections. From Senate races to local rezoning referendums, anti-data-center sentiment surfaced everywhere.