The Programmable Century
A dated forecast for the next hundred years of technology, grounded in the loops that make intelligence, biology, matter, and infrastructure easier to specify, test, and revise.
Building human-AI co-intelligence at neosapien. Thoughts on computation and consciousness.
A dated forecast for the next hundred years of technology, grounded in the loops that make intelligence, biology, matter, and infrastructure easier to specify, test, and revise.
A founder essay written after watching RAFA, on Rafael Nadal, the relief of a single goal, the danger of becoming blind inside it, and why rest is how the path becomes visible again.
A technical catalog of worthwhile AI project directions beyond fine-tuning: runtimes, edge inference, JEPA-style world models, diffusion control, robotics, ambient memory, and agent evals.
A field guide to the real state of physical AI: robotics, ambient AI wearables, drones, defence tech, autonomous vehicles, edge compute, and why the next frontier is context plus constrained action.
A deeper field guide to the modern AI and ML stack: classical ML, model architectures, post-training, RAG, inference, evals, agent frameworks, MCP, A2A, governance, and where agents are headed by 2027.
A transcript-backed guide to JEPA, world models, V-JEPA 2, and why LeCun thinks reliable agents need to predict consequences before they act.
One tradition says there is no fixed self. Another says your deepest reality is Brahman. They are not saying the same thing, but they may be dismantling the same illusion.
A founder’s real job is not having the answers. It is compressing chaos into priorities, narrative, and decisions without lying to the team, the market, or yourself.
Karpathy's decade-long view on agents, the missing capabilities between demos and real AI employees, and what builders should focus on right now.
The moment every founder has: you're alone and realize you have no idea if this will work. Not healthy uncertainty—the "holy shit, what have I done" kind. What I've learned about building through uncertainty.
Sydney Coleman figured out how to destroy the universe. We're still trying to figure out if he was right. A deep dive into vacuum decay, metastability, and why the universe might not be as stable as we think.
A founder eventually learns that force is not enough. You need intensity and judgment, standards and stewardship, the warrior and the king, integrated into one self.
Context chaos kills these systems faster than bad code. The real challenges of building production-ready multi-agent systems.
A comprehensive technical presentation covering hardware architectures, edge AI processing, and next-generation wearable technologies from SoCs to TinyML implementation.