251–260 of 952 posts
Potentially horrible for monopoly reasons, but if other big acquisitions in the AI era teach us anything, developers are about to get a whole lot of free and discounted trial credits. That’s at least a plus. I will happily burn through as much VC money as they will give me to tinker with my projects.
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Yeah this is the "early netflix" era. Take advantage while you can and plan for the future.
Counter point is China can afford to keep pumping out free models for long enough to crash the AI industry, As well as spin up memory production. Its likely in the near future we will be able to buy 128gb mac minis and run local AI for free.
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If HF didn’t exist, model releases would likely have been on torrents like Linux iso’s back in the day.
I'd honestly prefer that. I'm usually on 5g if not 4g and pulling models is an absolute nightmare when I basically have to use HF and even with a token getting throttled. Although I have a pretty unique use case. Pulling wads of 5gb tensor files over cellular is painful.
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"That's not how citations work." (Dude on the interwebz, 2026) But more seriously, this is my first time seeing that as well, and I'm not sure I like it. Citing an LLM is a little like citing Wikipedia to me, you cite the primary source the LLM is quoting directly, not the secondary source.
It’s the formatting and formality that bother me. Say “I looked it up with Gemini,” don’t give me some weak attempt at “proper citation” to legitimize the bare minimum effort you put in.
HF is the default platform to find models. Not just ones published by big labs but also a lot of the distilled or fine-tuned versions, etc. If Nvidia buying HF makes it tough for all the diverse models on HF, then what are some alternatives? It seems models are the best things to be available on a Torrent platform? Of course HF is much more than just the files but perhaps the metadata can be separate and hosted on mu…
> what are some alternatives good old torrents
Nvidia's been pretty terrible for open source / free software. No need to quote Linus Torvalds here. They want to control what runs on their hardware. They want to you write code against their proprietary drivers and APIs, not directly against the hardware (which these days of course also contains plenty of software, but still). Don't expect things to go differently this time around. Nvidia wants control over the sof…
Nvidia has hardly open sourced the nvcc compiler, yet no-one here is complaining about why it is closed source. Modular on the other hand creates the Mojo compiler gets criticised for not open sourcing it immediately and now once they do, no-one cares anymore. Huggingface was not just a target for open source, but as a force to have open weight models run better on Nvidia against the rest.
this is the crux - if nvidia makes it so that open weights end up running better on nvidia hardware than competitor's, then it's going to prevent hardware innovation and competitiveness in the entire sector.
It's like as tho General Motors buys out oil refinery to make gas for all, but the gas somehow runs smoother in GM cars.
I am just curious, and I genuinely want to know, how is a 150 million a year in revenue company worth 13 billion dollars?
Somewhere, there’s a slide deck that shows future revenue going hockey stick.
12-24 months from this acquisition will likely look like a crazy burn of capital and cash.
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That still leaves the company valued at 86 years of revenue
Just wait until you hear that Facebook bought Instagram for $1 billion in 2012, when it was generating no revenue.
I can't see this as being as good of a purchase, especially when it's 13x the price of what was seen as an absurdly large amount back then.