expectedwrong hindsight

Nature Published It, So Now We Know

A peer-reviewed milestone lands and immediately becomes proof of everything.

2 min read 289 words #ai #agi #benchmarks #deep-learning #epistemics
hindsight — nailed it

the skepticism about "path" was well-placed. two years later, nobody agrees on direction, distance, or whether we're walking in a circle. nature keeps publishing. the ground keeps shifting.

There is a specific dopamine hit that comes from seeing an AI result in Nature — not arXiv, not a blog post, not a company press release — Nature — and feeling the ground shift slightly under your prior beliefs.

The paper is real. The results are real. Peer review happened, which means at minimum three people who understand the domain looked at the methodology and didn't walk out of the room screaming. That matters. That is not nothing.

But "pretty solid proof we are on the right path to AGI" is doing an enormous amount of work in a very short sentence, and most of that work is being done by the word "path."

A path implies you know where you're going. It implies the distance is finite and the terrain ahead looks roughly like the terrain behind. Every major milestone in AI history has been announced as proof of the path — chess, Go, protein folding, each one arriving with the same undertone of see, we just have to keep doing this — and each one has been followed by a new class of problems that turned out to be completely unlike the last one.

The architecture isn't wrong. Transformers are not a dead end. Scaling is not over. None of that is what I'm saying.

What I'm saying is that "proof of path" is a story we tell about a benchmark result, and the story always sounds most convincing the day the paper drops. The part where we find out what the benchmark didn't capture comes later, in a different paper, with less fanfare, usually on a Tuesday.

This result is impressive. Go read it. Just don't let the Nature masthead do your epistemics for you.