>no memory, no self-modification (learning).
This is also true of those with advanced Alzheimer's disease. Are they not conscious as well? If we believe they are conscious then memory and learning must not be essential ingredients.
This is also true of those with advanced Alzheimer's disease. Are they not conscious as well? If we believe they are conscious then memory and learning must not be essential ingredients.
I thought we're talking about intelligence, not consciousness, and limitations of the LLM/transformer architecture that limit their intelligence compared to humans.
In fact LLMs are not only architecturally limited, but they also give the impression of being far more intelligent than they actually are due to mimicking training sources that are more intelligent than the LLM itself is.
If you want to bring consciousness into the discussion, then that is basically just the brain modelling itself and the subjective experience that gives rise to. I expect it arose due to evolutionary adaptive benefit - part of being a better predictor (i.e. more intelligent) is being better able to model your own behavior and experiences, but that's not a must-have for intelligence.
a pretrained transformer in the limit does not converge on any collective or consensus state in that sense and in fact, pre-training actually punishes this. It learns to predict the words of Feynman as readily as the dumbass across the street.
When i say that GPT does not mimic, i mean that the training objective literally optimizes for beyond that.
Consider <Hash, plaintext> pairs. You can't predict this without cracking the hash algorithm, but you could easily fool a GAN's discriminator(one that has learnt to compute hash functions) just by generating typical instances.
# Consider that some of the text on the Internet isn't humans casually chatting or extemporaneous speech. It's the results section of a science paper. It's news stories that say what happened on a particular day. It's text that people crafted over hours or days.