LLMs and self-referentiality
Scott Aaronson, a computer scientist at the University of Texas at Austin, argues in a blog post that the success of large language models (LLMs) like GPT-5.6 Pro and Fable shows self-referentiality i…
Scott Aaronson, a computer scientist at the University of Texas at Austin, argues in a blog post that the success of large language models (LLMs) like GPT-5.6 Pro and Fable shows self-referentiality i…
Psychology Today published an article on August 20, 2026, exploring how self-referential loops, from Gödel's incompleteness theorems to Hofstadter's strange loops, now include artificial intelligence,…
Bongard problems, visual puzzles that challenge AI to identify latent properties distinguishing two sets of images, remain a benchmark for visual reasoning, as highlighted in a new essay revisiting Do…
Marguerite Yourcenar's quote opens an essay by an unnamed AI company CEO reflecting on the unexpected rise of large language models (LLMs) as statistical next-token predictors, which have reshaped pre…
A new book, *Inventing ELIZA*, recovers the original source code of the ELIZA chatbot from the MIT Archives, revealing multiple versions and scripts beyond the popular 'DOCTOR' persona. The book exami…