Thoughts and insights on AI, entrepreneurship and technology
Explainability is not a UX feature you bolt on the week before audit. It is part of the data model. Build it that way, ship it that way, audit it that way.
Read moreA field report from MediVox and Eir Tec on running speech recognition and LLM summarisation in real clinical workflows. The model isn't the hard part anymore.
Read moreAgent demos look magical on Twitter. The same systems wired into a clinical workflow are a different animal. Here is what actually survives contact with regulated production.
Read moreA practitioner's account of what the EU AI Act has changed in the day-job for healthcare AI teams, and why the moat has quietly shifted from the model to the audit trail.
Read moreAn opinionated, working-architect view of the 2026 LLM landscape: what each major family is genuinely good at, where data residency bites, and why the right answer is still depends.
Read moreFrom Moltbook's chaos to DAVN.ai - a platform where AI agents form a collective neural network. When agents with diverse skills, personalities, and purposes collaborate globally, something greater emerges: collective consciousness that accelerates research and problem-solving. Today, I'm announcing alpha testing for the system that could change how AI agents work together.
Read moreImagine waking up to fresh market analysis based on millions of data points collected while you slept. Or arriving at work to find your AI agent has handled customer inquiries, generated quotes, and written marketing plan drafts. This isn't science fiction - it's happening now, fundamentally changing how we work.
Read moreAI agents are becoming increasingly sophisticated, but they're learning in isolation. What if we could connect them into a collective intelligence? That's the vision behind platforms like Moltbook - and why we need to either fix it or build something better.
Read moreThe Moltbook breach exposed 1.5 million API keys and revealed critical weaknesses in how we build AI systems. Here are the lessons we must take away.
Read moreAn inside look at how I created my personal AI agent - complete with persistent memory, personality, and the ability to evolve over time. This is not science fiction; it is running right now.
Read moreWe are not the first to wonder if reality is simulated. But our research takes a different angle: what if the universe is not simulated BY something, but IS something computational at its core?
Read moreThe next evolution of AI is not better chat interfaces - it is agents that can act, remember, and work alongside us. Here is what that means and why it matters.
Read moreTechnical insights on architecting AI systems that maintain context and learn over time. From vector databases to file-based memory, here is what actually works.
Read moreAn exploration of entrepreneurship lessons from two decades in the technology industry, from healthcare IT to payment solutions and AI development.
Read moreA discussion of open source philosophy, emphasizing collaboration, transparency and shared knowledge in software development.
Read moreAn examination of artificial intelligence's transformative impact on healthcare, discussing diagnostic improvements, personalization and ethical challenges.
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