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Essays, profiles, and reading notes on AI products, AI systems, adoption, agents, and company strategy.
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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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Wang Xing, founder and CEO of Meituan, is a Chinese technology entrepreneur shaped by serial company building, avid reading, and intense competition. His long-term strategic thinking asks how curiosity and relentless execution combine in entrepreneurship.
Andrew Ng, an artificial intelligence leader, co-founder of Coursera and DeepLearning.AI, and former head of Google Brain and Baidu AI Group, has helped shape modern AI while guiding students, researchers, entrepreneurs, and corporations through its transformative potential.
Edwin Chen, founder and CEO of Surge AI, offers a counterpoint to venture-capital-fueled blitz-scaling. His experience bootstrapping a data-labeling company centers a decisive AI lesson: development quality rests on the quality of the data beneath it.
Jin Chen, a Tsinghua University professor and authority on innovation management, offers a China-centric view of how innovation is fostered and managed. His work connects corporate practice, national systems, philosophy, and culture rather than treating innovation as an isolated technique.
Ethan Mollick, a leading voice on artificial intelligence, innovation, and entrepreneurship, examines co-intelligence: the practice of working with AI rather than merely observing it. His framing centers the practical question of how people and intelligent systems can collaborate.