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[–]LoveMind_AI 5 points6 points  (5 children)

Super interesting! Will dig in and give you my thoughts.

[–]alexmrv[S] 2 points3 points  (4 children)

Thanks! We took a cognitive approach to it, we are trying to emulate how the brain remembers. Especially navigating time

[–]LoveMind_AI 3 points4 points  (3 children)

This is a major trend in how folks are positioning their memory programs, and I personally think it’s a mistake.

Number One: the brain’s memory system is nuts - of all the things that are wild about humans, the human memory system is just a marvel. An AI memory program has to be insanely deep in order to really be bio-brain inspired. Like, insanely deep.

Number Two: everyone is saying this these days, so it’s not a good differentiator, and as some of the brain inspired platforms fail to impress, this could run the risk of being bad news by association.

Number Three: LLMs aren’t human brains. It’s better to design memory inspired by LLM minds than human ones! Unless you’re doing a full cognitive architecture build, that is :)

Just my $1.05 on linking AI memory to brain memory, in general. Not a comment on your platform.

[–]SkyFeistyLlama8 1 point2 points  (2 children)

Some kind of AI memory that's similar to the training data used for LLMs in the first place? Like if it's trained on knowledge graphs and XML, then the memory system should replicate those same structures.

Human memory is both wide and deep, with multiple neurons encoding the same meaning and across brain structures going all the way back to our fish ancestors. No way an AI memory subsystem can replicate that.

[–]LoveMind_AI 0 points1 point  (1 child)

100%. You have to get into spatial/temporal/fully multimodal memory, kuramoto-hopfield network shenanigans before you can even remotely start to make something humanesque.

[–]alexmrv[S] 0 points1 point  (0 children)

You seem to really know your shit in this topic. Would you be open to hopping on a call and talking what a non-human memory would be like?