Codex compaction validates RLM principles: no destructive summaries, let models search context
lateinteraction · x · 2026-09-04
Insights from the Astra blog on Codex compaction: multi-week threads work because the system avoids destructive, unrecoverable summarization and instead lets a very smart model search over previous context. Jerry Liu and lateinteraction note this validates RLM design principles—the bitter lesson of scaling + better general search just works.
More from coding & agent
- Junie Local runs a coding agent on your Mac with unlimited usage, no credits — heyronir · 2026-09-04
- POSTECH's PACE uses coordinated agents to surface hidden conflicts in user requests — POSTECH · 2026-09-04
- Astra solves Excel World Championship cases ~4x faster than human champions using pure computer use — sandersted · 2026-09-04
- Dev builds a Magicka-inspired MMO in just 3 days using fable 5.1 — TAbrodi · 2026-09-04
- Creator assigns overnight tasks to AI agents, hopes for renders not a coup — bilawalsidhu · 2026-09-04
- Amazon-Microsoft paper: skill-guided action chunking lifts agent success to 67.2% while halving LLM calls — rohanpaul_ai · 2026-09-04