Agents are largely an attempt take the Human-LLM pair and and use the LLM to replace all the work the human finds trivial but which the LLM is terrible at. Try

Agents are largely an attempt take the Human-LLM pair and and use the LLM to replace all the work the human finds trivial but which the LLM is terrible at. Trying to get more inference value per-prompt is a good thing. Starting by trying to get it to do long-chain tasks per-prompt makes no sense. I'm a huge fan of LLMs for productivity, but even small tasks often require multiple prompts of build-up or fix-up. We should work toward getting those done in a single prompt more often, then work toward slightly larger tasks etc. Plugins and GPTs are both attempts at getting more/better inference per-prompt. There is some progress there, but it's pretty limited. There's also plenty of people building task-specific tools that get better results than someone using the chat interface due a lot of prompt work. So there is incremental progress happening, but it's been fairly slow. The fact that it's this much work to get incrementally more inference value per prompt makes it very hard to imagine anyone closing the whole loop immediately with an agent.