Traditional recommender systems predict user behavior well but cannot be steered via natural language or explain their own reasoning.

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• Every machine-learning deployment that has paid off so far left a person making the decision, which is the only reason imperfect models were useful. CFChelsea Finn12 Aug 2026similar wordingAssistant professor of computer science at Stanford
• The recommendation algorithm has no idea that you like surfing; it has a number that happens to correlate with surfing. AMAdam Mosseri9 Jul 2026similar wordingHead of Instagram since 2018
• Recommendation algorithms are not sinister; they simply predict engagement, and what humans engage with most is outrage. GHGeorge Hotz29 Jun 2023similar wordingAmerican programmer and hacker
• Social media recommendation algorithms are only partially designed to serve the people using them. AWAdam Wiggins13 Jan 2026similar wordingSoftware developer and entrepreneur; co-founder of Heroku
• A language model can predict what a person would say but not what will happen, and only the second of those is a model of the world. RSRichard Sutton26 Sept 2025similar wordingComputer scientist who founded the field of reinforcement learning

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