DeepSeek's 1017 update and the model name that moves under you
DeepSeek swapped the model behind deepseek-flash on 17 October, and legacy names followed. Why aliases change agent behaviour, and how to pin and re-test.
Blog tag
#Open-weight models
Models you can download and run yourself, and what they are good for.
Reflection's Beam: what a 501B open-weight model's safety report tells agent teams
Beam arrived on 16 October under Apache 2.0 with a long safety report. Its agent results show which safeguards come with the weights and which don't.
Open-weight model risk, model layer first: the Microsoft and NVIDIA guidance
Microsoft and NVIDIA published a joint risk taxonomy for open-weight models. What it covers, what it leaves for later, and how coding teams can use it.
Muse Spark Open: what an 816B open-weight coding model asks of you
Meta released weights for Muse Spark Open, an 816B mixture-of-experts model for coding agents: the hardware it needs, its license and its own benchmarks.
Why open-weight coding models now appear in financial-stability reports
The Bank of England's FPC tied capable open-weight models to cyber risk. What it said, what it did not, and how to adjust engineering AI policy.
5 min read
Copilot CLI now finds local Ollama models: what stays on the machine
GitHub Copilot CLI can discover models from a local Ollama instance. A local model is not offline mode, and telemetry and remote providers still need settings.
Small open-weight models as coding sub-agents: reading the Mellum2.1 release
JetBrains released Mellum2.1, a 12B open-weight model built for coding sub-agents. What it claims, what to verify, and where small models fit.
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