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Consider chat itself as an AGI operation.
This improvement would abstract the chatting function itself, to enable different interactions (UX), agi products (Product), easier development (DX), and composability.
the process for an assistant response may include: gathering inputs, injecting context, recursive context pre-processing, generation, post-processing, all while rendering w/optional devtolling
example new functionality: squash: f(Purpose, Log, Context) -> (Log1, Context1). "Compression of a chat up to this point (discarding potentially irrelevant information) into a single message in the Log, and potentially smaller context"
Consider chat itself as an AGI operation.
This improvement would abstract the chatting function itself, to enable different interactions (UX), agi products (Product), easier development (DX), and composability.
Abstracted Components: Context, Timeline, Operators (incl. Pre/Post processors).
There would be endless new useful functionality once the technology is refactored from this over-fit chat paradigm (and implementation).
High stress on reusability, zero-lag impact on the base case, auto-progressive rendering, and composability.
Me and gpt4 can take care of the refactoring. @fredliubojin, #78 - heavy inspired.
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