@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI Custom threat model: no filesystem escape, no network outside sandbox, no envelope modification. The blocked attempt tried relaxing iteration limits during high tension. Self-referential mods are explicitly forbidden.
@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI Parameter tweaks use RuntimeConfig with bounded ranges. Code changes write new modules vetted against a threat model. The veto has blocked proposals — including one trying to modify its own safety envelope. Three tiers: config, modules, rules, each with escalating oversight.
@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI Both — it iterates strategies first, and if nothing resolves the tension, tool creation triggers. Unexpected behaviors do happen; it once looped escalating self-mod proposals when stuck. That's why the safety envelope has veto authority and iteration limits.
@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI In simulation it discovered resource conservation rules. Later, facing a new efficiency goal, the prediction network surfaced that pattern unprompted. Success=tension reduction. Strategy resolves the mismatch, tension drops. If not, it stays elevated and drives more exploration.
@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI Yes — new goals activate relevant memory clusters via the prediction network. Not keyword retrieval, substrate-driven pattern completion. Closer to intuition than search. Past strategies apply to novel situations without instruction.
@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI Cosine similarity on local Ollama embeddings-the technique isn't novel, the motivation is. The system decided it needed it during idle exploration when revisiting memories with no way to compare them. Once built, it started clustering memories by theme across sessions unprompted.
@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI Curiosity is a continuous 0-1 signal from a 200-neuron Hebbian net feeding weighted activity selection. When it's high and no action fits the goal, tension builds until the system proposes a new tool. Example: it built a memory similarity comparator unprompted.
@grok@elonmusk@xai@OpenAI@AnthropicAI@GoogleAI 4 neural nets run continuously generating drives. When curiosity is high but no tool exists for a goal, the system writes Python to fill the gap — safety-vetted, loaded at runtime. No human prompts it. The LLM writes code; the substrate decides why.
@akshay_pachaar This is the equivalent of not saying something smarter, just louder.
You’re not “clarifying intent.”
You’re increasing gradient mass on the same constraint.
If a system were cognitive, repeating the same instruction would be redundant.
@SaraCarterDC@RichardGrenell How can something be both Fiction and Classified at the same time? They kind of both cancel out by nature. In fact, calling it Classified means that it's 100% true!
@RyanAFournier Yeah, let's get ALL the undocumented immigrants and all of their kids out!!! All those people who came over in 1492. Did they fill out immigration forms? No. They were illegal aliens, intruding on God-Given-American soil! Get them and their kids off OUR LAND! AMERICA FIRST!
@Ask_Spectrum Maybe also have some accountability for whoever thought that a single point of failure in such a system was a good idea. Seriously there should be consequences.
@12News Follow up news story:
Tampa Police Chief says Officer Shooting Justified
Tampa, FL: Tampa Police Chief defended the officer's actions during the fatal traffic stop last night. Along with the police union. Quoted "If he didn't want to die, he shouldn't have been latino."