@atax1a @Tock @ploum I'm not sure how what you linked relates to the conversation, is it in response to text-based LLMs as a technology that has largely been fed written text for most models?

If it's the first that doesn't change the technology: the math remains the same, and the training/inference process doesn't change and is still useful. Training data and biases is a real issue though everyone agrees. That doesn't disqualify the technology and some usages (being able to "grep" a podcast on my laptop). It does for others.

Or was it that I cited a post? If you think that I parroted some ideas that's a bit reductive of my own personal views and thoughts