About how close AGI is, and how its definition changes the answer.
Has this happened?
Yes 38 (29%)Not sure 27 (21%)No 64 (50%)
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
Hacker News has set AI a lot of challenges over the years. Which ones has it met?
About how close AGI is, and how its definition changes the answer.
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
It really depends on the definition.
"Better than the average human at most profitable tasks" is a much lower bar than most people on HN might think.
I have vendors who instead of filling out a web form which remembers their inputs and eventually even fills everything out for them instead print it out and fax it back in.
We're probably only about 2-3 years away from transformers being self-optimizing enough in prompts and evaluations to outpace the average worker in most tasks in most roles. (It won't necessarily be that much cheaper after the multiple passes and context windows required, and crucially probably won't be better at all tasks in most roles.)
If you define AGI as "better than any human at profitable tasks" or "better than average at all tasks" then yes, we're a long ways off and transformers alone probably won't get us there.