Goalposts

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

2025 Juneraducu

About whether LLMs lack the continuity and memory needed for AGI.

you can't tell it to remind you of something in 5 minutes without an external agentic architecture.

The problem is not the agentic architecture, the problem is the LLM cannot really add knowledge to itself after the training from its daily usage.

Sure, you can extend the context to milions of tokens, put RAGs on top of it, but LLMs cannot gain an identity of their own and add specialized experience as humans get on the job.

Until that can happen, AI can exceed algorithms olympiad levels, and still not be as useful on the daily job as the mediocre guy who's been at it for 10 yers.

An AI adds knowledge to itself from daily use after training, gaining on-the-job experience like a human worker.

Has this happened?

Yes 29 (26%)Not sure 27 (24%)No 57 (50%)

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