# [[AI Aesthetics MOC]] Research on [[the aesthetics]] of [[artificial intelligence]], large [[language models]], and [[generative systems]]. ## Core Framework Applying [[environmental aesthetics]] (particularly Carlson's framework) to AI systems. Key thesis: LLMs should be appreciated as what they actually are - learned [[continuation systems]] - not as ersatz persons. ## [[Key Concepts]] - **[[Semiotic Physics]]** - Law-like regularities at [[the level]] of sign-relations in LLM outputs - **[[Environmental Aesthetics]]** - Carlson's framework applied to AI - **[[Functional Beauty]]** - [[Design aesthetics]] and form following function - **Understanding vs Knowledge** - LLMs as understanding generators ## Active Manuscripts - Generative Aesthetics of AI - Main paper in development - [[Environmental Aesthetics]] of AI (Short) - Manuscript ## Research Notes - [[Llms as environmental systems]] - LLMs are understanding generators, and understanding is beautiful - Elaborating on Chain of Thought Evolution in Reasoning Models - Extended Analysis of Opinion on Bees - frankish llm intentional stance summary ## AI Conversations Key research dialogues with AI systems: - very long chat about semiotic physics stuff - excellent convresation about order and appreciation and llms and nature - Cognitive Error Theory Extensions - Kimi - gpt 5 on machina and other things - ChatGPT (and numbered sequels 1-6) ## Related Publications - "Growing the Image: Generative AI and the Medium of Gardening" (Philosophical Quarterly) - "Beauty in Use" (forthcoming, Ergo) ## Key References - Carlson, A. - Environmental aesthetics - Forsey, J. - Design aesthetics - Parsons & Carlson - Functional beauty - Janus - Simulators - metasemi - Semiotic physics