https://aibussin.com/tags/cognitive-runtime/ Recent content in Cognitive Runtime on AIBussin — AI applications, systems and books Hugo en-US Mon, 18 May 2026 11:14:15 +0100 https://aibussin.com/post/delta/ Mon, 18 May 2026 11:14:15 +0100 https://aibussin.com/post/delta/ <blockquote> <p>AI systems today have no idea why their own memory changes, that’s the problem we are trying to solve in this post.</p> </blockquote> <h2 id="summary">Summary</h2> <p>Most AI memory systems start from a practical place: retrieval. Retrieval is useful, scalable, and often the right tool for the job. But if we want systems that interact with humans in more human‑like ways, we need a different analogy, not storage, but <strong>thinking</strong>.</p> <p>Humans don’t store perfect records. We don’t retrieve exact text or replay video files. What we call “memory” is a shifting landscape of associations, impressions, weights, and patterns. When you recall something, you’re not pulling a file from disk, you’re running a <strong>search</strong> across your internal world, shaped by everything you’ve lived through.</p> https://aibussin.com/post/graph/ Mon, 11 May 2026 10:50:29 +0100 https://aibussin.com/post/graph/ <blockquote> <p>A Cognitive Graph is an enhanced chat log one that doesn’t just record what was said, but structurally preserves how thoughts, decisions, alternatives, and artifacts evolve over time, making the whole history replayable and auditable.</p> </blockquote> <p><strong>TL;DR:</strong> A Cognitive Graph turns AI-assisted work from lossy chat logs into event-sourced, replayable reasoning state. Instead of preserving only the final output, it preserves the decisions, alternatives, rationales, mutations, hashes, and snapshots that explain how the output came to exist.</p>