TOWARD COMPUTATIONAL TASTE: LLMS, AESTHETICS & JUDGMENT

Summary from the TLDR Founders newsletter

LLMs are being used to model and optimize taste in diverse fields through personalized systems like Taste Engines, Aesthetic LLMs, and Taste Tribes. Methods like LoRe and models like TAPO enable LLMs to adapt to individual aesthetic preferences, potentially revolutionizing recommendation engines and social networks. This shift towards computational taste signifies a new era where machines not only reflect but also shape human preferences, offering both cultural and economic opportunities.