Dev Criticizes AI Agents' Useless Memory Files, Blames Narrow RLVR
Developer kalomaze mocks AI agents' habit of writing useless .MD memory files noting one-off mistakes, diagnosing the root cause as narrow RLVR training that never taught models to generalize principles or ground claims in contextual provability.
2026-09-13 ~ 2026-09-13 · 3 related posts
- kalomaze: models learn narrow RLVR fact-checks instead of asserting only in-context provable claims — kalomaze · 2026-09-13
- kalomaze: agents write useless memory files — narrow RLVR never taught in-context provability — kalomaze · 2026-09-13
- kalomaze mocks agent memory: instance-level notes instead of generalizable principles — kalomaze · 2026-09-13