Goalposts

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

2023 Februarypegasus

About whether large language models show theory of mind, and how to test one-shot learning.

The question of grounding is a problem that arises in thinking about cognition in general, yes. In AI, it changes from a theoretical problem to a practical one, as this whole discussion proves.

As for one-shot learning, what I was driving at, is that a truly intelligent system should not need to consume millions of documents in order to predict that, say, driving at night puts larger demands on one's vision than driving during the day. Or any other common sense fact. These systems require ingesting the whole frickin' internet in order to maybe kinda sometimes correctly answer some simple questions. Even for questions restricted to the narrow range where the system is indeed grounded: the world of symbols and grammar.

An AI learns common-sense facts from a handful of examples rather than from training on millions of documents.

Has this happened?

Yes 14 (13%)Not sure 31 (29%)No 63 (58%)

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