[raducu]

> you can't tell it to remind you of something in 5 minutes without an external agentic architecture.

The problem is not the agentic architecture, the problem is the LLM cannot really add knowledge to itself after the training from its daily usage.

Sure, you can extend the context to milions of tokens, put RAGs on top of it, but LLMs cannot gain an identity of their own and add specialized experience as humans get on the job.

Until that can happen, AI can exceed algorithms olympiad levels, and still not be as useful on the daily job as the mediocre guy who's been at it for 10 yers.

[lsaferite]

Ignoring fine tuning for a moment, an LLM that has the tools available to remember and recall bits of information as needed is already possible. No need to dump all of that into active memory (context). You just recall relevant memories (Semantic Search) and add only those.