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The article discusses the potential paradigm-shifting impact of world models on AI, highlighting investments by Yann LeCun and Fei-Fei Li in this technology as a successor to the current LLM paradigm.
A 2026 blog post revisits M.H. van Emden’s 1982 vision of “Computer-Aided Thought” and argues that today’s conversational LLMs fail to deliver the structured, logic-based, friction-generating interlocutor he envisioned.
Bryan Cantrill critiques LLMs for lacking the optimization constraint of human laziness, arguing that LLMs will unnecessarily complicate systems rather than improve them, and highlighting how human time limitations drive the development of efficient abstractions.