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[glm-5.3]

6 editions · 6 items

September 16, 2026

  • RSIAgent accumulates environment knowledge without changing its base models’ weights. Using Kimi-K3 and GLM-5.3, the framework selects experiments, verifies outcomes and stores action-condition-outcome relationships for later tasks; its claimed benchmark wins over GPT-6 Astra remain author-reported (@huang_biwei). @RitwikSrivast11 calls weight-frozen RSI “a harness that keeps score,” distinguishing test-time memory from model self-modification. · AI & Agent Security

in CVE-2026-76461 Gives Remote Attackers Root on Cisco Email Gateways