Gregory's ServerMost models trained by Adversarial Neural Networks (i.e. 2 machine learning algorithms working together: 1 suggesting, 1 discriminating the suggestions) have the human, and therefore expensive, limit of well-labelled input data. LLM input data is inherently labelled to perfection.
This is why they are great and a leap that should be relished. Open sourced models keep access to this wonderful technology in the hands of the many and not the few.
And why cars still need drivers
@gaudi
And why LLMs are not intelligent. Humans don't need all of our sensory experiences labeled for us by some higher power. We figure things out for ourselves, with only each other for guidance.
@david_chisnall