AGI, which is Artificial General Intelligence, and what is ASI, Artificial Superintelligence, and what are the language models that we have today capable of doing?
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I suppose the question you're pointing at is, what are the types of bottlenecks that remain, and what are the prospects for getting past them?
You have to say that means mixture of experts, and you kind of have to build up an intuition for people what that means, how it's actually utilized, what are the different flavors.
If I looked at the top math journals, how many of the papers are coming up with a new technique, whatever that means, versus using existing techniques on new problems?
What are different ideas for the mechanism of how to add memory to these systems as we're increasingly seeing?
- Just to go through the table of contents, what are some ideas we might have missed in the bigger picture of post-training?
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