Ollama adds decision models: a different role for local AI
Ollama’s September 29 release adds typed decisions to its local toolkit. The key question is how well those decisions fit a specific workflow.
The latest
The developments, the evidence, and why they matter.
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What open-model download counts can—and cannot—tell you
Hugging Face’s summer ecosystem report separates attention from observed use. For model selection, repository popularity is a starting point, not a verdict.
Why counting refusals can miss how a model steers an answer
A research preprint separates detecting a sensitive concept from choosing a response. It suggests a broader way to read claims about uncensored AI.
Refusal removal can change more than refusals, a preprint reports
A July research preprint examines changes in decision behavior after abliteration. Its narrow experiment raises a wider question about model modifications.
Local AI is a deployment choice, not a complete privacy policy
A model can run on your computer while its surrounding application still uses external services. Map the whole workflow before sending sensitive data.
Open weights are only the beginning: a model license checklist
A downloadable checkpoint answers one question. Before using or distributing it, check the exact release, its terms and the provenance of any derivative.