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alignment-research

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Recursive law learning under measurement constraints. A falsifiable SQNT-inspired testbed for autodidactic rules: internalizing structure under measurement invariants and limited observability.

  • Updated Jul 26, 2026
  • Python

We measure whether an indirect prompt injection buried earlier in a conversation survives an LLM-driven context compaction step (the mechanism production agent platforms use to summarize long conversation histories and discard the original turns), and whether it retains behavioral force afterwards. Across 994 trials over three open-weight summarize

  • Updated Jul 1, 2026
  • Python

The forge, distilled: an ontology of three weeks of alignment research — every direction tried, colored verified / falsified / open, each color backed by a named artifact. Products: justitia, proxylimen, fallacy-cutter. Full tree at tag forge-full-tree.

  • Updated Aug 14, 2026
  • Python

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