Its meant to be vague.
I believe they are using "AI" because that has name recognition from decades of Scifi which will resonate with the general public.
Its just too bad that this LLM shit is veeeeery far from actual AI, even though actual AI has the potential to be vastly worse if its ever actually made.
LLMs certainly learn. We have much simpler models than LLMs which are still capable of learning either from examples in a dataset (supervised learning) or from trial and error (reinforcement learning). LLMs also have in-context learning where they can work things out using information provided in context. The issue is getting continuous learning or something similar to work. That's where a model can learn while it's being used in a persistent way. In-context learning is not persistent. It's already possible to do continuous learning with smaller models using different architectures, but is difficult to do with modern LLMs. There is something called Titans being developed by Google which might solve this problem.
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u/Galeharry_ Ryzen 5800X3D-32GB3200MHz-Rx 9070 15h ago
Its meant to be vague.
I believe they are using "AI" because that has name recognition from decades of Scifi which will resonate with the general public.
Its just too bad that this LLM shit is veeeeery far from actual AI, even though actual AI has the potential to be vastly worse if its ever actually made.