@tobifant@friendica.tf-translate.net
Post #1973442
2026-02-26 23:40 UTC
Replies (4)
-
@leeloo@chaosfem.tw 2026-02-26 23:57
@tobifant Not with the current methods, and very lilely not without understanding a lot more about how pur own brains work.
-
@JubalBarca@scholar.social 2026-02-27 01:28
@tobifant @leeloo Whilst we obviously can't show if humans have a soul, we can absolutely show that humans have e.g. abstracted concept frameworks that are not solely based on averages of language statistics. I understand what an "owl" is, for example, in a way separate to the numerical relationships between the word "owl" and other words. That is a really fundamental information processing difference and allows me to construct *novel* understandings of that concept in ways that an LLM couldn't.
-
@alterelefant@mastodontech.de 2026-02-27 06:11
@tobifant A LLM is not able to reason. It can fool you into believing it is intelligent and self aware, where in fact it just parrots the patterns it has stored. These patterns are however very human-like as they are the result of training on texts written by actual humans. The fun part starts now where the entire internet got flooded by #ai generated content. All of this will be the training set for the next generation of LLM's. What could possibly go wrong? @leeloo
-
@hypolite@friendica.mrpetovan.com 2026-02-27 19:40
@tobifant @leeloo We are already way past that point, although it isn't distributed evenly. One of the reason is that LLMs are machine learning applications, and machine learning is extremely effective at reaching its stated goals, the problems being to define those goals, and that they are hidden as a trade secret by the major LLM companies. But it isn't difficult to figure out that these companies favor outputs that looks and sounds as human as possible, in order to exploit our innate tendency to seek humanity in looks and sounds, including language.