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Essays, profiles, and reading notes on AI products, AI systems, adoption, agents, and company strategy.
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Start with the control layer for agents, context, tools, permissions, and human review.
Series Index AI Adoption That Actually Changes the CompanyUse the index instead of dropping into a middle chapter of the series.
Series Index Seven Powers in the AI EraRead the strategic power series from the table of contents.
AI The AI Builder’s Edge: 23 Patterns Across 264 ProfilesAcross 264 ai & machine learning profiles and 18,726 lessons, 23 patterns recur often enough to matter. They are not universal rules; recurrence indicates breadth within this collection, not agreement across an entire field.
Research Explainers When Do AI Agents Actually Need Blockchains?Jeremy Allaire argues that AI agents need economic infrastructure for payments, identity, and coordination. This explainer separates the functions that genuinely benefit from blockchains from those better handled by conventional systems, clarifying where onchain architecture earns its complexity.
Research Explainers AI Traffic Is Becoming Workflow TrafficOpenRouter's 100 trillion token usage study suggests AI demand is shifting from simple text generation toward reasoning, tools, code, and context-heavy workflows. This explainer maps what that change means for model providers, infrastructure, and the economics of serving AI.
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Nick Szabo, a computer scientist, legal scholar, and cryptographer, helped shape digital currency and blockchain thinking. His smart-contract concept asks how agreements can execute themselves when their terms are encoded directly, bringing software architecture into dialogue with law.
François Chollet, an artificial intelligence researcher at Google and creator of the Keras deep-learning library, challenges the field’s prevailing hype. His perspective asks for a grounded, nuanced account of intelligence that can distinguish human capacities from artificial systems.
Joel Hellermark, founder of the AI-powered learning platform Sana, began the company at nineteen. His thinking connects artificial intelligence, education, and work through a mission to augment human intelligence and examine how AI could transform learning.
Bob McGrew, former Chief Research Officer at OpenAI and an early engineer at Palantir, brings an experienced builder’s perspective to the future of AI and AGI. His central subject is how increasingly capable systems may develop and matter.
David Holz, founder of Midjourney and a serial entrepreneur and technologist, places human imagination at the center of AI. His vision asks how image generation and human-computer interaction can expand creativity without reducing technology to mere automation.
Mati Staniszewski, co-founder and CEO of ElevenLabs, works at the forefront of voice AI. His perspective brings together technology, entrepreneurship, and innovation, raising the practical question of how emerging voice systems will shape the future.
Cristóbal Valenzuela, co-founder and CEO of Runway, works where artificial intelligence meets creativity. His ideas examine how AI may reshape art and entertainment, and how increasingly creative technologies could alter the ways people make and experience culture.
Scott Wu, competitive programmer and co-founder and CEO of Cognition, connects a math prodigy’s path with the demands of leading an AI company. His perspective makes learning, problem-solving, and technology’s future central questions worth studying.