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Half a year has passed, and it feels like a long time in the field of AI. I read this article repeatedly a few months ago, but now I think the development of Ag
by chaosprint 1y ago
Half a year has passed, and it feels like a long time in the field of AI.
I read this article repeatedly a few months ago, but now I think the development of Agent has obviously reached a bottleneck.
Even the latest gemini seems to have regressed.
- m3kw9 1y agoThey have hard time solving prompt issues injection and that’s a one of the bottle necks
- EGreg 1y agoWhat exactly makes them regress? Why can’t they just fork swarms of themselves, work 24/7 in parallel, check work and keep advancing?
- amelius 1y agoBecause they are not intelligent. (And this is a good definition of it).
- vonneumannstan 1y agoHow is that a regression?
- jsemrau 1y ago(1) Running multiple agents is expensive, decreasing RoI. My DeepSearch agent for stocks uses 6 agents, and each query costs about 2 USD. (2) Multi-agent orchestration is difficult to control. (3) The more capable the model, the lower the need for multi-agents. (4) The less capable the model, the higher the business case for narrow AI.