The podcast episode discusses the limitations of large language models (LLMs), like OpenAI's ChatGPT, in accurately performing seemingly simple tasks such as counting specific letters within a word. It explains that this difficulty arises because LLMs process text through "tokenization," breaking words into smaller units that don't always align with individual letters, rather than understanding words as a sequence of characters. The text demonstrates how different prompt engineering can slightly alter results but highlights a fundamental issue with LLMs' predictive nature versus precise logical reasoning. It suggests alternative solutions, such as integrating external programming functions or combining LLMs with symbolic reasoning engines, to overcome these inherent "collective stupidity" limitations, emphasizing that current AI models excel at text generation but lack true human-like comprehension for exact, detail-oriented tasks.

Puedes profundizar en cómo interactúan las 24 personalidades de Kevin Crumb y cómo las interpretó James McAvoy. Realmente las dio vida con una gama impresionante.

You can dive deeper into how the 24th personalities of Kevin Crumb interact and how they were portrayed by James McAvoy. He really brought them to life with stunning range.

AI has revealed something we already knew but many refuse to acknowledge: if something is posted online, it will be necessary to apply critical thinking to recognize the hoax.
Although there are shortcuts, for example counting fingers and toes, for rapid detection of deepfakes.

Cryptic Inhumancy discusses with Aurora Isabel the history, hermeneutics and semiotics of the cartoon One Froggy Evening.

Cryptic Inhumanity discusses some interesting aspects of the work of writer and performance artist Han Kang, winner of the 2024 Nobel Prize in Literature.