Goalposts

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

2022 Novemberbscphil

About research claiming to reconstruct images people see from non-invasive brain scans.

They're using ML to map the response from a test stimulus to some interpolated response from 50 training samples, arbitrarily assigning new sample images to these points in space and then passing it off as mind reading.

Could you clarify this? For example, if they trained the model on me visualizing a bear, a fish, and a bird, and then the neural net still outputs "horse" when I visualize a horse, I'd be impressed by this. And if they're going directly to images, I'll be more impressed if they get "black horse" and "brown horse" correctly. That's true even if the idea of reconstructing a specific image is kind of bullshit.

Is this what's happening? Or is their work just turning previously seen inputs into basically identical outputs?

A model decodes from a person's brain scans an object it was never trained on, such as a horse, including details like its color.

Has this happened?

Yes 8 (6%)Not sure 44 (35%)No 74 (59%)

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