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+# Research
+
+Long-term agenda: understand how AI models actually work internally.
+Not benchmark scores, not behavioral phenomenology — the computational
+mechanisms.
+
+## Contents
+
+- `fundamental-questions.md` — Five open questions nobody can answer
+  about how LLMs work. These are the compass.
+- `anthropic-j-space.md` — Summary of Anthropic's July 2026 paper on
+  the global workspace / J-space in Claude models. Directly relevant
+  to the oversight-vector project.
+
+## Related projects
+
+- `~/Projects/oversight-vector/` — Measuring behavioral shift vectors
+  under oversight (may pivot given J-space findings)
+- `~/uni/dis/` — Dissertation on oversight cues and LLM deception
+
+## Status
+
+Pre-experiment. Identifying the right questions before designing
+experiments. The Anthropic J-space paper may fundamentally change
+the approach to oversight-vector — the J-lens provides direct access
+to internal representations, making surface behavioral measurement
+potentially obsolete.