Hacker Newsnew | past | comments | ask | show | jobs | submitlogin

Multiple people found prompts to make LLM solve the problem, and the $10k has been awarded: https://twitter.com/VictorTaelin/status/1777049193489572064


The entire problem with LLMs is that you don't want to prompt them into solving specific problems. The reason why instruction finetuning is so popular is that it makes it easier to just write whatever you want. Text completion on the other hand requires you to conform to the style of the previously written text.

In a sense, LLMs need an affordance model so that it can estimate the difficulty of a task and plan a longer sequence of iterations automatically according to its perceived difficulty.




Guidelines | FAQ | Lists | API | Security | Legal | Apply to YC | Contact

Search: