{"event":{"id":"evt-20261106-ripple","dedupe_key":"rts_milestone:rts_finding_923ed8b98e5549bfaef73a0d32e662c8","event_type":"publication_or_official_action","title":"Ricursive publishes Apache-2.0 Ripple-65B Preview downloadable model-weight checkpoint","summary":"Ricursive publicly released the Ripple-65B Preview open-weight model around 4 November 2026. Its Hugging Face repository contains an actual approximately 130GB BF16 checkpoint split into 16 safetensors shards and model code under Apache-2.0, distinguishing it from future promised weights. Vendor claims about TerminalBench2.1 score, training cost, context length and recursive model-improvement methodology are not independently verified or evidence of self-modifying model weights; model performance and adoption remain research questions.","occurred_at":"2026-11-04T00:00:00.000Z","published_at":"2026-11-04T00:00:00.000Z","observed_at":"2026-11-06T17:49:47.442Z","reconstructed_at":null,"ingest_type":"live_evidence_only","locations":null,"status":"verified","confidence":0.93,"metadata":{"rts_finding_id":"rts_finding_923ed8b98e5549bfaef73a0d32e662c8","evidence_only":1,"source_bound":1,"epistemic_scope":"dated_observable_official_action_or_publication_only","no_relation_onset":1,"no_new_layer_state":1,"no_civilization_snapshot":1,"bounded_overlap_not_exhaustive":1},"created_at":"2026-11-06T17:57:19.231Z","updated_at":"2026-11-06T17:57:19.231Z"},"artifacts":[{"id":"art-20261106-ripple","dedupe_key":"9723f5acdd146f40587183523c88df5c1506eea224c155760d824b8d77029003","canonical_url":null,"evidence_locator":"","artifact_type":"publication","title":"Ricursive publishes Apache-2.0 Ripple-65B Preview downloadable model-weight checkpoint","summary":"Ricursive publicly released the Ripple-65B Preview open-weight model around 4 November 2026. Its Hugging Face repository contains an actual approximately 130GB BF16 checkpoint split into 16 safetensors shards and model code under Apache-2.0, distinguishing it from future promised weights. Vendor claims about TerminalBench2.1 score, training cost, context length and recursive model-improvement methodology are not independently verified or evidence of self-modifying model weights; model performance and adoption remain research questions.","creator_entities":[],"released_at":"2026-11-04T00:00:00.000Z","content_hash":null,"metadata":{"rts_finding_id":"rts_finding_923ed8b98e5549bfaef73a0d32e662c8","evidence_only":1,"source_bound":1,"epistemic_scope":"dated_observable_official_action_or_publication_only","no_relation_onset":1,"no_new_layer_state":1,"no_civilization_snapshot":1,"bounded_overlap_not_exhaustive":1},"created_at":"2026-11-06T17:57:19.223Z","updated_at":"2026-11-06T17:57:19.223Z","relation":"documents"}],"signals":[]}