this post was submitted on 23 Mar 2026
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[–] Technus@lemmy.zip 3 points 11 hours ago (1 children)

The conversion of the output to tokens inherently loses a lot of the information extracted by the model and any intermediate state it has synthesized (what it "thinks" of the input).

Until the model is able to retain its own internal state and able to integrate new information into that state as it receives it, all it will ever be able to do is try to fill in the blanks.

[–] Modern_medicine_isnt@lemmy.world 1 points 44 minutes ago

Not sure what this internal state you are referring to is. Are you talking about all the values that come out of each step of the computations?

As for your second half... integration. That is a tricky one. Because the inputs it is getting aren't necessarily correct. So that can do more harm than good. The current loop for integrating new data is too long though. They need to reduce that down to like an hour so it can absorb current events at least. And ideally they would be able to take a conversation and identify what worked and what didn't. Then integrate what did. This is what was mentioned about claud.md files and such that essentially keep track of wwhat was learned. There is room for improvement there, as I seem to have to tell the model to go read those or it doesn't.