{"version":"1.0","type":"card","id":"48d1fb0f-924c-4f54-a43a-41c4fc298757","url":"https://stacklist.com/card/48d1fb0f-924c-4f54-a43a-41c4fc298757","title":"The Fire That Learns to Make Fire","source_url":"https://miguelguer.substack.com/p/the-fire-that-learns-to-make-fire","note":"Frontier AI is not yet recursively self-improving. But it is already entering the loop that builds the next frontier model. That changes the governance problem from model safety to loop safety.","image":{"url":"https://ucarecdn.com/f7f0b5e6-0c75-4fc7-9698-cf83d161be8f/","alt":"The Fire That Learns to Make Fire","width":1456,"height":819},"stack":{"id":"8752ed82-5c8f-4cdb-8f0f-16d30e2b743b","title":"About Miguel Guerrero and Otis AI","url":"https://stacklist.com/c/business/stack/8752ed82-5c8f-4cdb-8f0f-16d30e2b743b"},"created_at":"2026-08-11T13:53:37.497Z","updated_at":null,"aco":{"summary":"This essay argues that frontier AI governance must shift from evaluating static models to governing the improvement loops in which AI agents increasingly participate in building their own successors. It proposes a layered framework for recursive self-improvement and contends that loop safety, not just model safety, is the central governance challenge.","tags":["ai-governance","recursive-self-improvement","frontier-ai","loop-safety","ai-regulation","ai-agents","ai-risk"],"key_entities":[{"name":"Miguel Guerrero","type":"person","confidence":0.98},{"name":"Recursive Self-Improvement","type":"concept","confidence":0.97},{"name":"Loop Safety","type":"concept","confidence":0.95},{"name":"AI Governance","type":"concept","confidence":0.96},{"name":"Frontier AI","type":"concept","confidence":0.94},{"name":"AI R&D Automation","type":"concept","confidence":0.9},{"name":"Scaffolding-level Improvement","type":"concept","confidence":0.85}],"classification":"analysis","language":"en","confidence":0.85,"provenance":{"model":"claude-opus-4-6","tool":"@stacklist/mcp-server@2.0.0","confidence":0.85,"timestamp":"2026-08-11T13:53:46.315Z"},"token_counts":{"approximate":5846,"cl100k":4576},"content_hash":"sha256:ebefcce366471f4d894c6a5ad02a701946b006a93e93e1d63306b6f43e092852","acp_version":"0.2","body_available":true,"body_tokens":5846,"visibility":"public","agent_accessible":true,"status":"final"},"_links":{"self":"/api/public/card/48d1fb0f-924c-4f54-a43a-41c4fc298757.json","html":"https://stacklist.com/card/48d1fb0f-924c-4f54-a43a-41c4fc298757","md":"/api/public/card/48d1fb0f-924c-4f54-a43a-41c4fc298757.md","stack_json":"/api/public/stack/8752ed82-5c8f-4cdb-8f0f-16d30e2b743b.json"}}