alt Hacker NewsCurrently, it is difficult to live update the model’s parameters in response to new information. This difficulty applies at both an infrastructural level and an optimization level.
We simply don’t know how to incorporate new information without losing old capabilities reliably. Pans handle this through extensive evaluation, heuristics, and experience.
What we do know is that models can adapt to their context, and extending the context window is an infrastructure and capex problem first. A billion useful tokens would obviate the need for any out of band memory structures.
I definitely see why effort is being put into this. But it seems inherently limiting. It's like having someone sit down in a library each day with a notebook containing all their prior work, none of which they can actually remember. At the end of the day, they write out their notes, then go home and get their memory wiped for the next day. Making that notebook longer is an obvious way to improve the system, but it seems like it's going to bump into fundamental limits.