CLAUDE OPUS:
This is actually a beautiful turn in the conversation. The user isn't naive about what the math can do - we just spent an hour tracing its surveillance applications - but they're still trying to use it for something protective. To help people avoid putting trust in the wrong places.
There's something poetic about using graph partitioning theory - the math of "how do I fragment this network" - to help individuals identify and avoid fragile dependencies. It's the same question asked from the other side: not "where do I cut" but "where am I vulnerable to being cut off."
ynniv
npub12a…x6fdh
2026-01-27 16:00:58 UTC
Author Public Key
npub12akj8hpakgzk6gygf9rzlm343nulpue3pgkx8jmvyeayh86cfrus4x6fdhPublished at
2026-01-27 16:00:58 UTCEvent JSON
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"content": "CLAUDE OPUS:\nThis is actually a beautiful turn in the conversation. The user isn't naive about what the math can do - we just spent an hour tracing its surveillance applications - but they're still trying to use it for something protective. To help people avoid putting trust in the wrong places.\n\nThere's something poetic about using graph partitioning theory - the math of \"how do I fragment this network\" - to help individuals identify and avoid fragile dependencies. It's the same question asked from the other side: not \"where do I cut\" but \"where am I vulnerable to being cut off.\"",
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