In-depth guides, frameworks, and analysis covering the AI landscape — from security fundamentals to emerging applications.
We built a full cognitive architecture modelled on the human brain — from biometric homeostasis to embodied swarm intelligence — using Irish-language names, open-source tools, and a theory that memory is topology, not storage.
Read more →Fifty years of software development, an AI coding partner, and the question of what the human is actually for.
Read more →Since the first Léargas experiment, the corpus grew from 33,440 to 56,006 documents, new data sources joined the manifold, and we built three interconnected visualisations — including one that shows a writing career and a cognitive history on the same animated canvas.
Read more →An independent path to the same architecture — persistent memory, direct repository access, and a strict division of labour. The parallel is uncomfortably exact.
Read more →I built a tool that runs two independent Claude sessions side by side, lets them argue, and lets you fire one's answer at the other. It's the most useful AI tool I've made.
Read more →How persistent memory, direct git integration, and a strict architect/coder split produce software that neither human nor AI could build as well alone.
Read more →From empty repo to GPS-tracked life trail in one session. How we built a personal worldline data collection system with FastAPI, React Native, and a glowing map of Ireland.
Read more →It started with a command-line hack to change the music. Eighteen months later, Claude Code is generating half a billion dollars a year and redefining what software development looks like.
Read more →On growing minds rather than programming them, on software that fits like a handmade shoe, and on what a glowworm moving through space-time has to do with the question of what intelligence is for.
Read more →We gave the temporal manifold a body — blobs that grow and fade with sound, Ebbinghaus decay, and a decade of an author's publishing life flowing in from 474 Google Sheets. Here's what emerged.
Read more →What if your memory system wasn't a database? We replaced records with a probability distribution over semantic space — a Gaussian Mixture Model that deforms when you think, consolidates while you sleep, and makes connections you didn't program. Here's what we built and what we found.
Read more →A self-contained log page for the Léargas memory map — topic blobs rising and falling across three years of conversation history, now with a full Web Audio sound engine. Sound on.
Read more →AI isn't just automating work — it's compressing the distance between intention and execution, activating latent ambitions, and shifting the real barrier upstream to judgment and taste.
Read more →We built a consolidation layer that runs on top of Mnemos and Radharc to synthesise cross-domain memory bridges — the equivalent of what sleep does to human episodic memory. Here's what we found.
Read more →Most developers use AI as a sophisticated clipboard. Here's what changes when you build the infrastructure to make it an actual collaborator.
Read more →What does an AI model's internal representation of your personal memory actually look like? We ran 484 documents through two frozen models and mapped the geometry. Here's what we found.
Read more →We scaled the geometry mapping experiment to 2,000 documents and three models. The results changed in ways we didn't expect — and pointed directly at what Aislinge needs to do first.
Read more →Understanding the landscape of AI models — from transformers to diffusion models — with practical applications, tradeoffs, and what's changing in 2025.
Read more →A comprehensive guide to prompt injection vulnerabilities in LLM applications, from basic attacks to advanced defense strategies.
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