April 2026

The gap between fast-moving AI agents and slow traditional capital formation is no longer sustainable. Founders can now build and scale agentic ventures at unprecedented speed, yet raising capital, structuring governance, and aligning incentives still drag projects down with delays, misaligned tokens, and outdated models. Fresh off research into onchain capital formation and decision markets, Olayimika Oyebanji sat down with Umia co-founder Francesco Mosterts to discuss why today’s tokens are broken, how continuous market-driven governance can fix it, […]

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I spent years calling models via API : Bedrock, Sagemaker, Anthropic. This week was about understanding what’s actually happening inside the box, and why that matters for building systems around it. Coming into this project, I had built production AI systems on AWS Bedrock using flows, agents. I knew how to wire models into applications. What I didn’t know was what the models were actually doing with the text I gave them, why RAG works at all, or […]

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What 10 years of trust-based platforms and one zero-to-one product unlocked about intent qualification along with the mechanism most marketing and growth teams are missing. I’ve spent over a decade working inside trust-based technology platforms. Consumer products where a stranger getting into your car, opening their home to you, or meeting you alone in a foreign city were the entire value proposition. Platforms which operated across 20+ markets or even across several continents, with millions of users. In […]

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There was a time when the internet felt obviously human. It was messy in a human way. Slow humanly. Personal in a human way. People wrote bad blog posts with too much passion and not enough editing. Forums ran on obsession. Websites looked strange because someone made them, not because a design system told them to. Search results felt like trails left behind by actual people. Even the chaos had fingerprints on it. That version of the internet […]

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A practical guide to creating persistent memory for your AI programming assistant that remains intact across sessions. In April 2026, Andrej Karpathy introduced a deceptively simple concept: instead of relying on RAG or endless context windows, you should let an LLM maintain a structured Markdown wiki as a long-term knowledge base. You simply provide the raw data, and the model compiles, organizes, and updates the wiki on its own. You do not need to handle manual editing—the model […]

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Fifty times global compute capacity, and a dystopian manual published in 1984. There’s a version of this article where I try to be balanced. Where I lay out “the pros and the cons” and offer some measured take that makes me sound thoughtful and considered. That version of this article can get fucked. Because the more time I spend with AI — building with it, watching what it’s doing to the world, understanding the trajectory we’re on — […]

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Note: This article is written with assistance of the free version of Google Gemini AI quick mode.     TL;DR: Scroll to the bottom for the keyword “Summary”     As we know, COMEFROM is a sarcastic joke mocking the evilness of GOTO, and almost no seasoned professional software engineer will even consider to use it in production of any commercial codebase, so it’s only natural that nearly nobody will take this programming construct seriously. But what if I tell […]

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The evolutionary origin of useless thoughts and the creative cost of thinking them A phone call can destroy your nervous system in under three seconds. You don’t decide to be afraid. You don’t reason your way into dread. You hear the news and cortisol is already flooding your bloodstream, heart rate spiking, the fine hairs on your forearm standing at attention. State is upstream of thought. Not the other way around. The first thought a human ever had […]

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