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LLM Post-Training as Brownfield Maintenance: An Industrial Perspective on Dataware Engineering

Industrial post-training is a brownfield regime. Teams inherit a deployed checkpoint and must land targeted improvements under fixed compute and mixture budgets without regressing the rest. The maintained artifact is increasingly dataware: behavior governed by a curated post-training mixture, updated via bounded mixture patches rather than clean-slate retraining. From an industrial…

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

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I Built an Office Full of AI Developers. They Started Opening Pull Requests.

A few weeks ago I had a stupid idea. What if instead of opening Claude Code, ChatGPT, Cursor, Gemini, GitHub Copilot and twelve terminal tabs... I just had an office full of AI developers ?

  • Developer created office with AI coding agents
  • Agents perform tasks like writing code, running tests, opening PRs
  • Real repository usage transforms agents into code-modifying entities

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