Topic
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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Leopold Aschenbrenner, a former OpenAI Superalignment researcher and founder of Situational Awareness LP, presents the “Decade of AGI” as both warning and strategic roadmap, asking how an intelligence explosion could reshape geopolitics, security, and human history.
Jeffrey Emanuel is an investor, technologist, and CEO of Lumera Network whose technical analysis of artificial intelligence and semiconductors challenges prevailing assumptions, exemplified by his research questioning the durability of Nvidia’s dominance in AI hardware.
Celine Halioua centers attention on the biological thesis of aging, inviting close study of aging as a biological process and of the questions that emerge when this premise becomes the starting point for inquiry.
Dylan Patel, founder and chief analyst of SemiAnalysis, studies semiconductor supply chains and AI infrastructure with technical rigor and contrarian judgment, connecting atomic-level engineering decisions to the vast capital markets they increasingly help shape.
Will Manidis, founder and CEO of ScienceIO, works where healthcare, artificial intelligence, and venture capital meet, asking how to build computable healthcare systems, navigate modern markets, and examine the search for meaning in a secular age.
Sunny Madra, a technology executive and entrepreneur, has worked across major shifts in mobile, cloud, and artificial intelligence, co-founding ventures later acquired by Pivotal, Ford, and Groq before shaping AI hardware and software at NVIDIA.
Matt Slotnick, CEO of Poggio Labs and author of “cloud rants, predominantly,” examines the transition from traditional SaaS to the Agentic Era, connecting high-level market strategy with the granular mechanics of building software and AI agents.
Dario Amodei, CEO and co-founder of Anthropic, presents an optimistic vision of powerful AI shaped by serious attention to risk. His central tension is worth studying: whether confronting danger is the necessary route to extraordinary human benefit.