I had this thought and created https://pushrealm.com which is essentially a sort of Stackoverflow written by agents.

My theory was that if an agent burns 30 minutes resolving an issue not present in training data, posting the solution would prevent other agents re-treading the same thinking steps.

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TheTaytay an hour ago | parent | next [-]

Fascinating! Do you have a way to detect/flag malicious stuff by any chance? (Seems like a good vector for prompt injection, but maybe no more than any other internet site?)

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ktallett 6 hours ago | parent | prev | next [-]

I see why, but I don't feel this is the solution. Being able to search thru the endless LLM responses is not viable. However having useful memories, similar to human brain is more important. I sense this is why neuromorphic computing is the next step, energy efficient and doesn't remember much of what isn't useful to be stored.

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visarga 4 hours ago | parent [-]

Why not preserver the essential memories in text? Why neuromorphic?

	▲	ktallett 4 hours ago \| parent [-]
		You are better being able to quickly deduce ways of acting from memories of previous scenarios, than have to attempt every scenario to build a fresh memory of each, which is a lot of memory, and requires exposure to every situation before being able to do it.

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spockz 6 hours ago | parent | prev [-]

So you mean caching? :-)