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Notes on gotchas while migrating 35kb preprompts from Opus to self-hosted Ollama

Hacker News · AIby 0o_MrPatrick_o0 ()8 min read2
AI summary · glm-5.3Summaries by Vani AI

Opinion piece urges migrating 35KB preprompts from Anthropic/OpenAI to self-hosted Ollama, citing session privacy risks and safety filters blocking security research.

The author documents gotchas migrating 35KB preprompts from Claude Opus to self-hosted Ollama, motivated by fears that frontier providers train on user sessions, citing the OpenAI Navier-Stokes controversy. The piece argues inference providers cannot audit their own retention or training pipelines and that only self-hosted hardware offers verifiable privacy. It also criticizes frontier safety filters for refusing vulnerability research tasks and calls for models that support exploitability testing in CI/CD pipelines.

Key facts
  • Advocates self-hosted LLMs to protect prompt and session privacy
  • Criticizes provider safety filters that refuse security testing work
  • Details 35KB preprompt migration from Claude Opus to Ollama
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From the original article

8 min read at patrickmccanna.net

Maybe you’re a Claude code/codex user diligently avoiding uploading personal data to LLM providers. Is it possible that the most valuable information isn’t your data- but the metadata about your sessions? The intuitions you apply in coming up with ways to coax the ai into solving problems might actually be special.

Hacker News · AI

By 0o_MrPatrick_o0 · patrickmccanna.net

Read the full article at Hacker News · AI

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.