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Comment by waffletower | Hacker News Reader

Is this another squandered Google AI showcase? To what purpose does another demonstration serve Google when it is not immediately paired with a product announcement, beta access invitation or source code release? Does it merely make it easier for Google researchers to be poached by other AI companies that are actually releasing AI products? Adobe is actually integrating image generation tools directly in its products. What are you waiting for?

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It's a research paper, not a product. I don't know why you're against this, but I appreciate researchers that publish papers so knowledge isn't siloed in organizations and contribute to the public good and advancement of technology. Please do more of this!

Straw man, no where did I say that I am against the release of this paper. All I said that was that I don't understand how Google benefits, and I selfishly claimed that more of us could benefit if they created a product. The paper by itself is clearly a gift. I think ultimately it hurts Google to showcase research without product development -- and I also believe the trained model is squandered. If they aren't going to productize it, then they should leak or open source it in a LLaMA fashion. Why the waste? If this was truly a beneficent act somehow despite the weights being locked up in their cloud, where is the carbon footprint data for the training? StabilityAI reports such information for their model releases.

Google doesn't benefit from sharing. Humanity does. It was a beacon for mankind and will continue to be. As for how it can survive on this and how long it can survive on this... well, I guess that's largely depending on how bad sundar drives the company

It's not really sharing tough, is it? No source code, no models, no demo... just a couple pages of text, a couple of vague formulas, insufficient to reproduce results (which by the way should be the whole point of research papers). This is not sharing, this is just showing off.

It's a landing page. The other 99.999% of research papers around the world don't have landing pages for a reason.

Having a project page with extra results is very common in computer vision, even in academia.

I was thinking the same, recent announcements from Google are research papers leading nowhere. At this point as soon as I see something from Google I know it's either a vaporware or a product that will be killed in next 6-18 months.

> announcements from Google are research papers leading nowhere

And without code or model files, who knows if research is actually reproducible and not cherry-picked to look good?

Attention is all you need had no code or model and still led somewhere.

that's not true, "attention is all you need" presents a very complete model that is replicable.

In what sense it was more complete or replicable than this paper?

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