The unreasonable effectiveness of an LLM agent loop with tool use

Woke up this morning to start on a new project.

Started with a math visualizer for machine learning, saw an HN post for this soon after and scrapped it. It was better done by someone else.

Started on an LLM app that looped outputs, saw this post soon after and scrapped it. It was better done by someone else.

It is like every single original notion I have is immediately done by someone else at the exact same time.

I think I will just move on to rudimentary systems programming stuff and avoid creative and original thinking, just need basic and low profile employment.

What is your motive for creating things? Does it really matter if there is competition?

> Started on an LLM app that looped outputs, saw this post soon after and scrapped it. It was better done by someone else.

If it helps, "TFA" was not the originator here and is merely simplifying concepts from fairly established implementations in the wild. As simonw mentions elsewhere, it goes back to at least the ReAct paper and maybe even more if you consider things like retrieval-augmented generation.

Everything has been done before, sometimes before you were even born. The trick is to just not google it first and do it anyways.

No. DO google it, learn from it and make it better