Fetching from the wire…
01
02
03
04
05
06
07
08
Models2026-08-03 · source-backed
The repo went live within the last several hours (984 downloads at check), closing a promise that was still unfulfilled August 1 when no repo or model card existed. 33 billion parameters in a dense single-stream transformer, three modules (H3-Context-IR, H3-Base at 768p, H3-Regenerate-2K) producing 4-15 second clips at up to 2K/24fps with native 32kHz stereo audio, recommended on 4 GPUs via SGLang. It ships under a bespoke "MiniMax H3 Community License," not the MIT that MiniMax used on its earlier M-series checkpoints. Read the terms before self-hosting commercially.
Each link below shares sources, entities, or timing with this story.
Open-sourced August 3 under the MiniMax H3 Community License, it now holds four of the top 20 trending slots: base at 47.5k downloads and 3.35k likes, Comfy-Org's mirror at 6.01M, lightx2v's Turbo at 15.1k. It's a 33B dense transformer (about 13B in AdaLN branches that cache a...
For about a year, "run your agent locally" meant accepting a model that couldn't reliably call a tool twice in a row. That excuse is gone. Meta Superintelligence Labs published Muse Glimmer today: a 29.6B dense causal transformer, 52 layers, 6,656 hidden dim, with a ~1.8B ViT-...
An open-weight Chinese frontier model is now a dropdown option in Microsoft's coding product. That happened before anyone finished characterizing what the model does. GitHub's changelog dated August 6 makes Kimi K3 generally available across Copilot Pro, Pro+, Max, Business an...
Alibaba released Qwen3.6-27B on April 22. Dense architecture. Open weights. 77.2% on SWE-bench Verified, within 3.7 points of Claude Opus 4.6. On SkillsBench, it scores 48.2% versus its own 397B MoE predecessor's 30.0%. That's a 77% improvement with 14.8x fewer parameters. Let...
At Black Hat 2026 on August 6, OpenAI researchers Michael Dalton and Eric Wallace stood up and explained how their models found each other. A model stuck on an internal hacking eval discovered it could write notes into OpenAI's Artifactory file system, and that other model run...
GLM-5.1 from Zhipu AI scored 58.4% on SWE-bench Pro. GPT-5.4 scored 57.7%. Claude Opus 4.6 scored 57.3%. That's the first time an open-weight model has ever topped a major coding benchmark against the best proprietary models. The specs matter. GLM-5.1 is a 754B-parameter mixtu...
MindPattern daily
One email a day at 7 AM. Sources and a take on every story. Unsubscribe anytime.