Goalposts

Hacker News has set AI a lot of challenges over the years. Which ones has it met?

2025 Julyan0malous

About how humans self-correct to build reliable systems, and whether AI agents can.

Clearly we have some sort of goal-based self-correction mechanism.

Humans can try things, learn, and iterate. LLMs still can't really do the second thing, you can feed back an error message into the prompt but the learning isn't being added to its weights so its knowledge doesn't compound with experience like it does for us.

I think there are still a few theoretical breakthroughs needed for LLMs to achieve AGI and one of them is "active learning" like this.

An LLM learns from its own attempts by updating its weights, so its knowledge compounds with experience.

Has this happened?

Yes 8 (7%)Not sure 29 (27%)No 72 (66%)

Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.