https://aibussin.com/tags/symbolic-ai/Recent content in Symbolic AI on AIBussin — AI applications, systems and booksHugoen-USThu, 16 Jul 2026 18:43:53 +0100https://aibussin.com/post/zero/Thu, 16 Jul 2026 18:43:53 +0100https://aibussin.com/post/zero/<p><em>What happens when a system stops asking an AI for the same directions repeatedly, and starts placing signs where decisions need to be made?</em></p> <hr> <h2 id="zeromodel-in-one-image">ZeroModel in One Image</h2> <p>Most AI systems repeatedly invoke a policy: observe the current state, ask a model what to do, execute the answer, and ask again at the next decision.</p> <p>ZeroModel explores a different architecture. When a policy is bounded and stable, it can be compiled into a deterministic artifact that the runtime addresses directly.</p>https://aibussin.com/post/zeromodel/Mon, 11 Aug 2025 22:41:43 +0100https://aibussin.com/post/zeromodel/<blockquote> <p><em>“The medium is the message.”</em> Marshall McLuhan<br> <strong>We took him literally.</strong></p> </blockquote> <p>What if you could literally watch an AI think not through confusing graphs or logs, but by seeing its reasoning process, frame by frame? Right now, AI decisions are black boxes. When your medical device rejects a treatment, your security system flags a false positive, or your recommendation engine fails catastrophically you get no explanation, just a &rsquo;trust me&rsquo; from a $10M model. ZeroModel changes this forever.</p>