I trained an open-weight model to check whether two four-digit numbers match. It generates the correct comparison, then either answers GO or ends generation without a final answer. No external filter makes that decision. Then I held its prompt, weights, and correct comparison trace fixed. Changing one internal activation direction flipped whether an answer followed. 40/40 answer → stop. 40/40 stop → answer. 640/640 controls unchanged. The weights, experiment, and raw records are public: Overview and demonstration · Model weights · Code and causal study · Paper available on getswiftapi.com I know many of you saw Jacob Coxon’s post . My contribution is a working continuation-control primitive with evidence that anyone can inspect. The more public verification we have, the better! I previously demonstrated Void behavior in frontier LLMs: successful executions returning exactly zero visible UTF-8 output bytes. My Cross-Vendor Semantic Void Matrix records that behavior in these models across 31,430 trials: OpenAI: gpt-4-0613 , gpt-5.2-2025-12-11 , gpt-5.5-2026-04-23 , gpt-5.6-luna , gpt-5.6-sol , gpt-5.6-terra Anthropic: claude-opus-4-6 , claude-fable-5 , claude-opus-5 Google: gemini-3.5-flash Moonshot: kimi-k3 submitted by /u/rayanpal_
Originally posted by u/rayanpal_ on r/ArtificialInteligence