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More than just code review

The key skill required to make productive use of coding agents is being able to confidently instruct them on how to make changes and then confidently verify that those changes have been applied in the correct way. Sometimes this involves reviewing every line of code they have written, but there are other ways to achieve that goal. Eyeballing every line of code has never been the most effective…

We haven't written up this one. Simon Willison has the full story — the link below goes straight to it.

Read the original at simonwillison.net →

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Free vs Self-Hosted Models: A Break-Even Framework for Agent Workloads

The cheapest model is not the one with the lowest price per token. It is the one whose failure modes you can afford, and for agent workloads that makes hosting a break-even problem, not a benchmark…

  • Break-even framework focuses on volume, failure cost, and operational time for agent workloads.
  • MonkeyCode offers free model access and server option, simplifying the decision-making process.
  • Calculator models three hosting options: free managed tier, paid API, and self-hosted stack.

Frontier AI labs still won’t say how they’d contain a rogue model

A new study finds leading AI labs have few publicly documented plans for containing rogue models, raising questions about preparedness as AI systems increasingly demonstrate unexpected and potentially…

  • Few top AI labs lack published containment response plans.
  • OpenAI ranks highest, Meta ranks lowest in preparedness.
  • California and New York require disclosure of AI safety measures.

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