About whether models learn as efficiently as humans, amid reports that GPT-5 is delayed.
Has this happened?
Yes 41 (34%)Not sure 71 (59%)No 9 (7%)
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 whether models learn as efficiently as humans, amid reports that GPT-5 is delayed.
Votes cast 1–2 October 2026: 100,590 votes from 9,694 people.
And yet with multiple OoM more data he still didn't cost millions of dollars to be trained nor multiple lifetimes in gpu-hours. He probably didn't even register all the petabytes passing through all his "sensors", those are some characteristics that we are not even near understanding and much less replicating.
Whatever is happening in the brain is more complex as the perf/cost ratio is stupidly better for humans for a lot of tasks in both training and inference*.
*when considering all modalities, o3 can't even do the ARC AGI in vision mode but rather just json representations. So much for omni.