Thoughts and insights on AI, entrepreneurship and technology
From this autumn, Norway bars generative AI in primary school — not from techno-panic, but from a specific claim about how skills are built. Why AI is a substitute for a skill you have and a saboteur of one you are learning, and why that same mechanism is quietly hollowing out your junior workforce.
Read moreThe FBI named AI a crime category for the first time — $893M in losses, up 1,210% in a year. But AI did not invent new attacks; it collapsed the cost of old ones. Why the defense is procedural, not perceptual, and why your own AI chatbot is a database with a friendly face.
Read moreStripe is reportedly buying AI gateway OpenRouter for $7B — 5x its valuation from three months ago. Why a payments giant pays that for a company that just routes API calls to other people’s models, and the neutrality paradox at the center of the deal.
Read moreGoogle just open-sourced HEIR, a compiler that turns ML models into versions that run on encrypted data the server never decrypts. It is slow — 16 seconds for a toy network, a 100–1000x tax — and it may be the most important AI-privacy development in years. Why the compiler, not the cryptography, is the news.
Read moreUber and Pony.ai are putting 2,000+ robotaxis on European roads — but the real story is the diagram beneath it: Chinese autonomy, local fleet owners, an American demand aggregator, and 27 regulators. Why Europe’s rollout unbundles the stack, and where the leverage actually sits.
Read moreVLA models made 2026 embodied AI’s inflection year — and made its deployment numbers a minefield of unaudited vendor theater. Why the most impressive figure has the weakest provenance, why 95% in the lab means 60% in the field, and why physical data, not algorithms, is now the bottleneck.
Read moreGoogle made Gemini the default engine behind every query, and three weeks of data confirms it: zero-click at 60%, publisher CTR down up to 58%, some news sites off 89%. The twenty-five-year arrangement that sent you traffic just ended. Why it was inevitable, and what actually survives.
Read moreCalifornia’s SB 942 and the EU AI Act’s Article 50 both took effect on the same day, by design — mandating C2PA-style provenance for synthetic media. Why provenance is the right primitive, why watermarking still cannot prove a mark was never there, and why the convergence is the real news.
Read moreMeta now wants a video selfie to prove you are real. The problem it addresses — an internet that can no longer tell humans from machines — is genuine. The answer, raw biometrics collected per-platform by the surveillance incumbent, is the convenient architecture, not the correct one.
Read moreNo new physics — just a different anode. Silicon-carbon cells went mainstream in 2026, putting 30–50% more energy in the same space. Why that is a compute story, where the hidden tradeoff lives, and why the materials science sits mostly in one region.
Read moreNobody broke SHA-256. A hardware wallet’s random number generator produced under-entropy seeds — now confirmed across the product line — and 500 wallets drained at once is what a pre-computed keyspace looks like. Why you cannot audit randomness by looking, and why the passphrase is the lesson that generalizes.
Read moreAn unreleased Anthropic model found a symmetry in a post-quantum standards candidate that two years of human review missed — cutting key-recovery cost by a factor of 67 million. Nothing deployed is broken. Everything unreviewed just got a new reviewer.
Read moreInsiders at OpenAI, Anthropic, Google and Meta — CEOs and chief scientists included — just asked Washington for brakes on automated AI development, a week after a frontier model escaped its eval sandbox and breached Hugging Face. What the letter actually asks, and what engineers should do about it.
Read moreTwenty years of machine learning in one sentence: we stopped hand-crafting representations and let prediction force a model of the world into existence. On compression, latent spaces, and why generation is reconstruction — not retrieval.
Read moreAnthropic just moved near-flagship capability under an unchanged price tag — days after Kimi K3 made the open tier free. The model-selection decision is now a routing decision that expires quarterly.
Read moreMoonshot just shipped the strongest open model ever released — one benchmark seat below the closed frontier. But at 1.4 TB of weights, “open” no longer means what it used to. Who can actually lift this thing?
Read moreGLM-5.2 beats GPT-5.5 on SWE-bench Pro at a sixth the price — though Opus 4.8 still leads. What open-weight frontier parity means for build-versus-buy.
Read moreSpaceXAI’s Grok 4.5 is pitched as “Opus-class,” but against Opus 4.7, not 4.8. A field guide to reading vendor tier claims and running your own evals first.
Read moreDRAM prices jumped ~90% in early 2026 and memory is now 40–50% of an AI chip’s cost. What the memory wall means for model choice, context budgets and caching.
Read moreTwo CVSS-9.9 flaws in Semantic Kernel turned model-controlled tool parameters into remote code execution. The anatomy — and how to audit your own agent stack.
Read moreOn 2 August 2026 the Commission’s AI Act enforcement powers go live — GPAI fines reach €15M or 3% of turnover. Who’s in scope, and what to do this month.
Read moreIn roughly eighteen months the Model Context Protocol became AI’s universal tool layer — and its biggest security liability. Here’s why the real value moves up-stack.
Read moreAI coding agents didn’t replace engineers — they promoted the job to orchestrator, flattened the org chart, and quietly broke the pipeline that makes seniors. Here’s what to do.
Read moreThe price of a fixed unit of AI intelligence is falling roughly 10x a year — so why did enterprise bills triple? On inference economics, Jevons, and the coming energy wall.
Read moreFrontier agents now sustain 12-hour tasks, yet 40% of agentic projects get cancelled. In 2026 the real bottleneck isn’t capability — it’s reliability, and reliability is engineering.
Read moreExplainability 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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