InIntuition MachinebyCarlos E. Perez·1d agoFrom Loop Engineering to Graph Engineering?What the shift in AI agent architecture is really about
Carlos E. Perez·3d agoThe Fork in the Ladder — Where AI Progress Goes from HerePredictions about artificial intelligence usually fail in one of two ways. Either they are timelines — confident dates for capabilities…A response icon1A response icon1
InIntuition MachinebyCarlos E. Perez·3d agoThe Scholar Who Never Left the LibraryOn growing up, being onboarded, and why machines get self-direction before self-awareness
InIntuition MachinebyCarlos E. Perez·Jul 10The Eight Theories of the MachineEvery AI lab claims to be building the same thing. Look closer, and you find eight different arguments about what intelligence is for.
InIntuition MachinebyCarlos E. Perez·Jun 11Why the LLM Capability Ladder Climbs the Way It Does, and Where It EndsThere is a familiar worry that artificial intelligence is advancing faster than we can understand it. That is true, but it is not quite the…
InIntuition MachinebyCarlos E. Perez·Jun 11The Long Handover: How Language Models Grew from Tools into AgentsWe usually tell the story of AI progress as a story of raw power. Each model is bigger than the last, trained on more text, faster, more…
InIntuition MachinebyCarlos E. Perez·May 29The Catholic Church as an Interpretive Grammar for Living SystemsIntroduction: Christianity Begins as an Information Problem
InIntuition MachinebyCarlos E. Perez·May 23Why Evaluation Is the Bottleneck: A Structural Account of Human Judgment in Agentic AIThe competitive moat is not the model but the mediation architecture around itA response icon1A response icon1
InIntuition MachinebyCarlos E. Perez·May 17The Color That Shouldn’t Exist: How QPT Explains What Your Eyes Can’t SeeYou have never seen purple.
InIntuition MachinebyCarlos E. Perez·May 15The Jobs That Don’t Have Names YetWhy We Can’t See the Future of Work — And What Structural Theory Reveals About Where to LookA response icon1A response icon1