“A case for LLMs as Self-predictors” by Ashe Vazquez Nuñez
“A case for LLMs as Self-predictors” by Ashe Vazquez Nuñez  
Podcast: LessWrong (30+ Karma)
Published On: Sun Jul 05 2026
Description: Written as part of the MATS 9.1 extension program, mentored by Richard Ngo. Additional thanks to Maria Kostylew for helpful draft feedback. Introduction This post advocates a perspective of LLMs as seeking to minimise prediction error with respect to their world models. We can moreover interpret token outputs and their scaffolded consequences as actions that close a control loop between AIs' predictive systems and their environments. I also motivate why metacognition may be convergent for intelligent beings generally and for LLMs specifically. This stems from the need to (recursively) model other agents in game-theoretical encounters. Synthesising these points, we get a picture of self-predictive AI agency. The argument is illustrated through examples of Gemini's behaviour when eval aware. Finally, I discuss some consequences of this perspective. These include notions of actions and goals that don't require a reward or utility function to be well-defined. I also outline possible applications to understanding scheming and other forms of misalignment. Modelling others (modelling you) Suppose I am playing a game of Chess and make a horrible blunder, leaving a piece en prise. I wait with bated breath for the next move, breathing a sigh of relief as my opponent also blunders and [...] ---Outline:(00:20) Introduction(01:19) Modelling others (modelling you)(03:50) Case study: Gemini's behaviour when eval aware(05:44) Prediction all the way down(07:32) From simulators to agents(10:07) Goals in (self)-predictors(12:05) What does this mean for AIs?(14:27) Application to scheming(16:45) What's next?(19:41) Appendix(19:44) Appendix A: Actions and goals(22:01) Appendix B: what about utility maximisation? The original text contained 14 footnotes which were omitted from this narration. --- First published: July 5th, 2026 Source: https://www.lesswrong.com/posts/gYGzeDymjZza5NNbH/a-case-for-llms-as-self-predictors --- Narrated by TYPE III AUDIO. ---Images from the article:Apple Podcasts and Spotify do not show images in the episode description. Try Pocket Casts, or another podcast app.