I have been away from Mastodon for a while, not finding the time to be active here.

In any case here goes the final version of a paper on content and meaning in LLMs, co-authored with @raphaelmilliere. It lived a long preprint life, but is now published in an outstanding special issue of the journal Philosophy and the Mind Sciences.

The Vector Grounding Problem - https://philosophymindscience.org/index.php/phimisci/article/view/12307

The whole issue is worth checking out!

#philAI #llm

bsky.app:

Particularly hard given that LLMs don’t understand anything. 🤪 #PhilAI #CognitiveScience #Anthropic [contains quote post or other embedded content]

🔗 Ver original

bsky.app:

“Large language models are trained on vast amounts of human-written text, material filled with descriptions of various emotions and inner experience. Because of that, Askell said she is ‘more inclined’ to believe that models are ‘feeling things’.” This is a complete non sequitur. #PhilAI...

🔗 Ver original

Recording of Professor Alice Crary’s UCD School of Philosophy/Royal Institute of Philosophy Annual Public Lecture: ‘If you’re not outraged about AI, you’re not paying attention Philosophy in the time of techno-fascism’ #PhilSky #PhilAI #AIEthics

Conferencia pública anual de la profesora Alice Crary en la Facultad de Filosofía de UCD/Real Instituto de Filosofía: «Si no te indigna la IA, no estás prestando atención: La filosofía en la era del tecnofascismo»
youtu.be/Z3s7yRJ_CEo?ucdphilosophy