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Nvidia agrees to acquire Hugging Face for $13B

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Re: Nvidia agrees to acquire Hugging Face for $13B

#501

Earlier quoted context omitted.

What amuses me is that “lab” is shorthand for “laboratory” and virtually no computer research happens inside a room people would typically call a lab. It’s a little like the trend of calling developers “engineers”. There’s no actual engineering in the traditional sense but I’m sure developers think it sounds cool to call themselves that.

If you can't tell the difference between computer science and software engineering, then at least one of those worlds contains none of your feet.

That’s not what I said and the snarky remark about my experience is unwarranted (I have more experience in “software engineering” than many on here have been alive)

My point was just that I just find it amusing that people call themselves engineers when the code they produce is so far removed from the level of rigour one would expect in literally any other engineering industry.

I say this as someone who also has family and friends who are actual engineers, if they built bridges and buildings to the same standards that many developers write code, then people would die.

This isn’t meant as a criticism of developers, by the way. Just an observation at the vast differences in the domains and thus the tolerance for errors in the process.

Likewise for labs. I’ve worked in AI startups and the science departments are not something one would think of when you say “laboratory”. I get why the term is used, but it’s still amusing.

I know language isn’t static. It’s something that evolves, like how a “computer” used to refer to a person rather than a thing, but that doesn’t stop me from being amused. But maybe the real issue here is I take myself less seriously than others so I have that capacity to be amused by the titles I’ve held?

Re: Nvidia agrees to acquire Hugging Face for $13B

#502
post #383

This isn't a good thing for open source. Nvidia don't share CUDA, don't open source their drivers, don't support capable but older hardware (forget Pascal etc), and generally charge a premium over competitors for hardware. This acquisition will likely solidify this general stance, reduce free compute allowance for a subscription, cap downloads, push advertising, generally favour models that are Nvidia prescribed or h…

Nvidia does frequently release new OSS Nemotron models where they implement new mechanisms.

Dummytron doesn't count.

Re: Nvidia agrees to acquire Hugging Face for $13B

#503
post #233
post #162

Earlier quoted context omitted.

NVidia has reasonable incentives to keep things open indefinitely, it wants people to use it's GPUs

It'd be really nice if I could use my egpu 4090 on my macbook pro..

For LLM workloads this might help? https://docs.tinygrad.org/tinygpu/

Re: Nvidia agrees to acquire Hugging Face for $13B

#504

Earlier quoted context omitted.

I heavily disagree. Nvidia has a strong interest in open source AI being a strong contender to proprietary models. They don't want a single AI company to win, as that company would then have enormous leverage over Nvidia, and could perhaps even erode the Cuda moat with their own chip spending. They want the AI market to be hypercompetitive, with AI companies focusing on competing amongst themselves instead of with Nv…

> Nvidia has a strong interest in open source Linus would heavily disagree!

Disingenuous quote. Missing the full “open source AI” phrasing.

Re: Nvidia agrees to acquire Hugging Face for $13B

#505
post #331
post #133

Earlier quoted context omitted.

NVIDIA is one of the most open labs. They even share many of their pre-training and even post-training datasets for Nemotron on HuggingFace; for example: https://huggingface.co/datasets/nvidia/Nemotron-Post-Trainin... Which other lab shares this? Yes, there is no question NVIDIA wants to lock you into CUDA and their hardware. But also, they’ve consistently demonstrated the most openness when it comes to model trainin…

> NVIDIA is one of the most open labs. Dude, where's the src for GPU drivers and the firmware blobs? Sorry, you can't say it is one of the most open labs without qualifying a proper response to the question above.

/s I thought AI can now give us the source of any binary? What happened to all the vibe coded Nvidia/CUDA drivers?

Re: Nvidia agrees to acquire Hugging Face for $13B

#506
Anyone could comment or speculate what this enormous valuation stems from? Sources list their revenue as $150M? If true this is likely one of the biggest valuation gap I've ever seen. IMO hugging face is not something could not be reproduced, perhaps not very easily but I see its business model akin to github's. Various github alternatives exist and so will hugging face alternatives.

Re: Nvidia agrees to acquire Hugging Face for $13B

#507
post #422

Nvidia for Hugging Face will be even worse than Microsoft for GitHub and we know now how low the bar is here.

I heavily disagree. Nvidia has a strong interest in open source AI being a strong contender to proprietary models. They don't want a single AI company to win, as that company would then have enormous leverage over Nvidia, and could perhaps even erode the Cuda moat with their own chip spending. They want the AI market to be hypercompetitive, with AI companies focusing on competing amongst themselves instead of with Nv…

Open source models are only there so the closed ones wouldn't be attacked from every angle.

Re: Nvidia agrees to acquire Hugging Face for $13B

#508

Earlier quoted context omitted.

Arguably, this move will help AI open source market more. Nvidia has an incentive to make AI open source competitive with closed source. If OpenAI or Anthropic gains in market share, they will eventually gain power over hardware vendors as well, which Nvidia does not want. Nvidia wants people and companies to go choose a free open model, run that model on Nvidia hardware. And because Nvidia can't fully control what h…

Dude, the source of an LLM is the training data and the training algorithm. Those are not open, so stop calling it open source. Open weights correspond to "binary available" for software. Nobody would call that "open source". (Even ignoring the licensing which "open source" normally entails.)

Many open weight models do actually have open training data and training algorithms -- I think especially some from Nvidia!

Re: Nvidia agrees to acquire Hugging Face for $13B

#509
post #26

Earlier quoted context omitted.

As someone who've played video games and obsessed over graphics cards long before this all started, don't get your hopes up.

as gamers, we got burnt by nvidia way too many times. I'm still holding grudge over shutting down 3dfx.

3dfx had their own API which locked in game developers. This was far worse than anything NVidia has tried

Re: Nvidia agrees to acquire Hugging Face for $13B

#510

Earlier quoted context omitted.

The upcoming RTX Spark [0] is aiming to fill that space -- consumer GPUs with tons of memory. [0] - https://www.nvidia.com/en-us/products/rtx-spark/

This is not a GPU, this is a laptop SoC with CPU and integrated GPU, and knowing nvidia it will probably be even more closed than an intel CPU. You will own even less of your hardware

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