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Subquadratic Launches SubQ Snap, a Long-Context Decision Model for Enterprise AI Agents
Subquadratic launches SubQ Snap, a decision model for enterprise agents with up to 384K tokens of context, priced at $0.05 per million input tokens.
Z.ai Launches GLM-Legal, an Agentic Legal Model Built on GLM-5.3-Flash
Z.ai unveils GLM-Legal, an agentic legal model built on GLM-5.3-Flash. It claims a 19.2% all-pass rate on Harvey LAB, up 12.5 points on its base model.
Meta Launches Muse Wonder and Muse Wonder Full, Its “Most Capable Models to Date”, Built for AI Agents
Meta launches Muse Wonder and Muse Wonder Full, "our most capable models to date", for agentic tasks, via the Meta Model API and Muse Code from today.
Noiz AI and HKUST Release Helix World, a Real-Time World Model Whose Sound Turns With the Camera
Noiz AI and HKUST release Helix World, a real-time world model that makes video and stereo sound together. All benchmarks are the authors' own.
Sakana AI’s MASS Lets a 27B Model Train Itself Using a Team of Its Own Subagents; the Results Are Self-Reported
Sakana AI's MASS lets one 27B model run, judge and learn from a team of its own subagents. Gains are Sakana's own, in a preprint not yet peer-reviewed.
Reverse Engineer Anything: The Open-Source MCP Tool for AI Agents
REA is an open-source MCP tool that lets AI agents inspect software. What the project says it does, how to set it up, its limits and legal risks.
Shadow Traffic Testing (Traffic Mirroring) for Software and AI Changes: How It Works and How to Set It Up
How shadow traffic testing (traffic mirroring) works, with doc-sourced Envoy, Istio, NGINX and GoReplay setups, plus comparison, rollback and risks.
Odyssey Opens Its Odyssey-3 World Model to the Public; Its Headline Physics Score Is a Best-of-Eight, and Every Benchmark Is Odyssey’s Own
Odyssey opened a public preview of Odyssey-3. Its 66.1 physics score is best-of-eight; the four-run average is 63.37. All figures are Odyssey's own.
Polars 2.0 Is Out: Streaming Is the Default and Row Order Is No Longer Guaranteed
Polars 2.0, released 6 October, makes the streaming engine the default for lazy queries and no longer guarantees row order in joins and group-bys. Its benchmarks are its own.
Timer-M1 Preprint Says It Ranks First on Two Forecasting Benchmarks, With Its Authors’ Own Caveats
A preprint says Timer-M1, a forecasting model, ranks first on FEV and TIME. Its authors call the TIME margin over TimesFM-3 narrow. Not peer reviewed.
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