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Open-weight promise seems nice, but 1) I've seen people commenting that these hopes amounted to nothing for some previous releases (no idea which promises were made though); and 2) if the backbone is released as Dev, what will be missing? I can't easily tell from the post.

Many video examples on /r/stablediffusion

> Frivolous use of the term World Model

The term "world model" as it was once used in model-based RL can now apparently refer to anything as silly as linear regression. Then again, the RL folks probably borrowed the term from behavioral scientists before them. It's probably best to simply accept this :/

A similar thing happened to "object oriented" which has been misused by philosophers and visual artists alike.

Yeah, very weird launch. I was like... where's the videos?

It would be interesting to see some time-series sentiment analysis of HN. Subjectively it feels like there's much negativity on HN these days, I hope I'm wrong.

It's probably actually good, but after this stuff with Qwen-Image-3 and it's ability to things like render images that look like they were rendered with LaTeX or compose many things side by side or in depth, maybe it's perhaps not totally in the right direction to only focus on visual stuff.

I'm a person who is making extensive use of current-gen "smart" LLM for coding tasks and building automation tools, doing some of the drudge work of gluing disparate open source things together into new projects. I'm fairly optimistic about that. Particularly when you have a good harness setup and you know enough about the subject matter to understand when a model has gone into some dead-end of reasoning or has built something that's not quite right.

At the same time, I can see social media is being flooded with absolutely horrid AI slop images and video. I'm much more pessimistic about the practical beneficial real world use of totally artificial image and video generators. It seems the uses that these things are put to when they get into the hands of millions of people are detrimental to society and not a benefit.

Given that Martin Scorsese is now an "advisor", I suspect BFL will continue to position itself as the research lab for filmmakers. This video model, if comparable to Seedance 2.0 won't really make sense as a slop generator, as it's too expensive for that, but it would be part of a projects VFX pipeline.

none of this is exciting compared to holodeck in star trek

Advertisers love these sorts of reactions.

I see nothing here but them TELLING us how great it is. Not showing us.

It's possible it's because some people care about the consequences of what we're doing as a society beyond the mindless satiation of curiosity. Nothing wrong with curiosity in my books by the way, but I do think isolating it the way we've done in the technical fields is a dangerous and irresponsible attitude.

Its faster to just have them simulate touching things, they figure it out way faster that way

A very beautiful place on earth: one friend who lives there enjoys road biking in the surrounding mountains. Another friend does cross-country skiing in his lunch break (in winter times).

You are completely ignorant. This is one of the best places to live and work on earth. Nonetheless, they also have positions in San Francisco for what is worth.

I live nearby, its an amazing area, one of the sunniest in Germany with perfect landscape. Not sure about the talent pool though but there is a university.

Freiburg University is pretty well known isn't it?

Hiring in university towns is a pretty standard practice for startups outside SF.

there's a reason people call it Flyburg im Nicegau.

I think these days not being in the US is a plus for many potential hires.

the bay is not the world.

"Actually, let me be careful placing the rubber sealing. If I do it too roughly, it screams."

That's most likely a disagreement on terms. In the media world, video is only the moving images, not audio. This is separate from images, that are meant to be still images.

Video contains images (frames), but not every image would reasonably be found in the frames of a video, or interpreted spatially. In the space of world model synthesis, consider blueprints, relationship diagrams, pages of instructions, sheet music, or a boarding pass.

It's more a comment about the feature detection I think; all image, video and audio input contribute to the same weights/activations that can produce image, video and audio output.

When they hide in their bunkers, who's to stop people from pouring concrete down the ventilation shafts?

> why they are investing money

Maybe they presume that after a series of "good enough to some" they may be getting near the Real Thing?

now look at AI images/videos from 5 years ago.

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video is just a group of images (GOP) if the gist is what you're after

its doing video, audio, images and motion. I think that counts as multimodal.

Is this really the value-add comment you’re going with?

I wish you were being hyperbolic but I know better.

Nobody is forcing you to read it. If you lose some interesting information because you don't like how it sounds, that's your loss.

Thanks for the heads-up

It comes back as AI written when checked in Pangram, but I am skeptical.

It does not seem as grating as the slop I typically see in README.md files or generated docs.

Correct reaction

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"Horseless slop trained on centuries of coachmakers' and blacksmiths' work. It'll never replace a real horse." - Hacker News commenter in 1889 criticizing the automobile

Show it, don't just say it. The argument would be?

Same person that was mocking the hands in image generation in 2023, is the same person that was saying 'hands are fixed but it can't generate "the red dog jumps over the jump rope held by the blue pelican while juggling 5 balls"' in 2024, is the same person that posted this.

"One-shot learning" is still part of the discipline, actively studied (definitely in the past and surely in the present).