Does YouTube allow massive scraping like this in their ToS?

Friendly unit conversion man at your service: 114 years.

This is interesting for generalized problems ("make me a sandwich") but not useful for most real world functions ("perform x within y space at z cost/speed"). I think the number of people on the humanoid bandwagon trying to implement generalized applications is staggering right now. The physics tells you they will never be as fast as purpose-built devices, nor as small, nor as cheap. That's not to say there's zero value there, but really we're - uh - grasping at straws...

This was a bit hard to read. It would be good to have a narrative structure and more clear explanation of concepts.

Solved??? Where?

IMO, VideoMimic is a better proof-of-concept

https://www.videomimic.net/

https://www.videomimic.net/page1.html

I wonder how much language does this model understand. If we pan across text will it fill in sensible next word? How good will it be?

Someone watched 'Devs' ?

if you havent - highly recommended.

Extremely oversold article.

> the core insight: predict in representation space, not pixels

We've been doing this since 2014? Not only that, others have been doing it at a similar scale. e.g. Nvidia's world foundation models (although those are generative).

> zero-shot generalization (aka the money shot)

This is easily beaten by flow-matching imitation learning models like what Pi has.

> accidentally solved robotics

They're doing 65% success on very simple tasks.

The research is good. This article however misses a lot of other work in the literature. I would recommend you don't read it as an authoritative source.

This article contains so many falsehoods and history rewrites that it's pretty painful to read.

I just wrote a reply to a comment talking about the AI tells this writing has, but it got flagged so my comment disappeared when I hit post. I'll rephrase out of spite:

My first thought upon reading this was that an LLM had been instructed to add a pithy meme joke to each paragraph. They don't make sense in context, and while some terminally online people do speak in memes, those people aren't quoting doge in 2025.

There's also a sense of incoherence in the whole piece. For instance, this section:

"- after: 22 million videos + 1 million images (now we're talking)

they basically hoovered up everything: something-something v2, kinetics, howto100m, and a billion youtube videos"

Was it a billion vids or 22m? It turns out the latter sentence is just rephrasing the list of sources in a cool casual way, and the last one is called YT-Temporal-1B. That's a billion frames of video, not a billion videos.