$KNOTS
Heating UpSnapshot Window: 2026-09-18 17:50 UTC · ← Back to Crypto Overview
Social Momentum Summary
Total Engagement - Comments: 22, Retweets: 1, Likes: 25, Impressions: 614
Verbatim Community Citations & Social Evidence 3 source posts analyzed
Agent memory is no longer just context. Persistent skills can change future behavior, so treat them as executable state rather than harmless notes. @SentientAGI ’s new EvoSkill v2 is built around exactly that idea: agents learn from failed runs by writing reusable skills for
AI visual note: **Image caption:** A bar chart titled "Every score went up when we fixed the test," comparing DeepSeek V4 Flash's performance on broken vs. fixed spreadsheet tests across three conditions—No coaching (48→73), Frontier coach Claude Opus 5 (60→89), and worker self-coaching (59→86)—out of 360 attempts. **Connection to the post:** The chart illustrates the core premise of EvoSkill v2—that agents learning from failures (even without external coaching) can lift their own scores by ~27 points (59→86), almost matching what a frontier coach achieves (60→89)—reinforcing the argument that persistent, self-written skills are executable state worth treating as first-class.
Space Objects in Space Store objkt.com/collections/KT …
Cute message, but I’m still checking charts before sleeping.