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When a model trains, it is not “learning facts” the way a human does. It is adjusting billions of numbers so that: Given this sequence of tokens, what token is most likely next? That’s it. No concepts. No understanding. Just probability shaping. But here’s the magic: When trained on enough text — books, code, discussions, … Read more
“AB 1043 passed the California Assembly 76–0 and the Senate 38–0. Not a single legislator voted against it. The bill had the explicit support of Apple, Google, and the major platform companies. Ask yourself why.” Here is a clean, structured extraction from your transcript — focused specifically on: States + Laws Identified 1. Louisiana 2. Utah … Read more
“Funny how nobody has pointed out that all those interfaces (Discord, Slack, etc) are owned by Big Bro and are in-stream to ‘get all your data’ just the same but without having to store it all for you (which is the Google Gmail trick). The Claw has grabbed even more for even less for Big … Read more
Parallel Proof: AI Hallucinations and the Political “Grift of Gab”. Hidden Rule: Systems That Reward Confidence Produce Endless Nonsense. Introduction Recent research into large language models has revealed a structural reason why artificial intelligence systems sometimes produce confident but incorrect statements. In simple terms, many AI systems are trained in environments that reward producing an … Read more
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Wildly frightening. Where does private / copyrighted data actually live in an AI system? https://www.youtube.com/watch?v=O7BI4jfEFwA
“…an agent in the machine which represents you.” – Larry Tesler, Xerox PARC / Apple 22:47 in
nullClaw – “…this is the ai-brain for robocop, kill-bot swarms, that killer dog thing from black-mirror, etc…” Transcript
“Your brain was never designed to be a storage system. It was designed to think. Every time you force it to remember something instead of letting it work on something new, you’re paying a tax you don’t see. And in 2026, when AI can multiply what you produce, that tax is more expensive than ever.” … Read more
Interesting inverse take. “Everyone Is Lying About AI — And It’s Not an Accident”. However, the view does not seem to be from depths of programming.