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An agent can suggest a lesson. Should it become a rule?

If you are running an agentic workflow for coding, I am pretty sure you already know that - sometimes an AI coding agent can get stuck for a stupid, boring reason.

  • Agents can suggest lessons as learning proposals.
  • Librarian agent reviews and generalizes proposals into rules.
  • Approved rules presented to operator for approval/edit/rejection.

A free AI chat that costs me nothing: BYOK on Cloudflare Workers AI

TL;DR There is no free tier that stays free. The usual answer is to buy credits and hope. There is another: make the user pay, using their own key. Workers AI gives out tokens; you relay the request.

  • Users pay for their own AI chat key, avoiding credit purchases
  • Cloudflare Workers AI provides tokens for request relay
  • Backend handles requests, forwards credentials to appropriate model

Privacy-Preserving Active Learning for precision oncology clinical workflows with inverse simulation verification

Privacy-Preserving Active Learning for precision oncology clinical workflows with inverse simulation verification When I first started exploring the intersection of federated learning and clinical…

  • Privacy-preserving active learning combines federated learning and verification mechanism
  • Inverse simulation verification allows clinicians to falsify audit model behavior

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