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Credit and Risk Scoring Under Regulation
A credit model is not judged only on its discrimination. It has to survive a question no other produ…
The Right to Erasure vs a Trained Model
Somebody asks you to delete their data. Your database can do that. The question that stops the room …
Rewriting Prompts That Do Not Destroy Meaning
Ask a model to rewrite a paragraph and it will improve it. That is the problem. The improvement is u…
Reward Models: Turning Preferences Into a Number
A reward model is a learned scoring function: text in, one number out, trained so that the number is…
Reward Hacking, With Documented Examples
Reward hacking is not the agent misbehaving. It is the agent doing exactly what was specified, in a …
Pattern: Human Review Queues That Scale
Human review is how most AI features become safe enough to ship. It is also how they become impossib…
Reviewing AI-Written Code: A Checklist
The problem with reviewing generated code is not that it is bad. It is that it is fluent, idiomatic,…
Cost of Retries, Failovers and Timeouts
Nobody models retries, and for most failure modes that is fine — the adjustment is a couple of perce…
Mesh, Automattic’s CRM for everyone, comes to Android
Mesh, an AI-powered contacts app and relationship manager from Automattic is now an Android app.…
Today is Models Day
submitted by /u/Fz1zz [link] [comments]…
CohereLabs/North-Micro-Vision-Instruct · Hugging Face
North Micro Vision Instruct is a 2.4B-parameter open-weight vision-language model with native-resolu…
Which Qwen3.8 model size do you want the most?
Just wanna get a sensing of the hardware ownership spread in the sub. I could ask that directly, but…