201–207 of 207 posts
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Monopoly is a stretch. Half of the models I try come direct from GitHub (and almost 100% of all model code comes from GH too). Hosting binaries isn't really a stable business model.
But the weights are all on HF no?
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I've been asking myself that for a while. Would they be so popular if they didn't host & serve petabytes of model files for free? How will they monetize that aspect to match this valuation? Whilst the scale of their model hosting is impressive, the functionality seems pretty basic. The models are just BLOBs in git LFS repos, you're usually relying on knowing which users to follow, then learning the way they name thei…
Can I ask what you deploy it on? They do require GPUs?
Have been experimenting with deploying to Mac's for inference as they are cheaper and use less power. But also still deploy to a substantial amount of gpus too.
Either way I try to take connections to huggingface hub out of the equation at deployment time.
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> "enshittification" doesn't refer to a change in _investor_ value "enshittification" doesn't refer to anything at all. It's a political term meant to be used by anti-corporate causes - it doesn't have a real definition because it's a made-up word with no value other than activism.
Is anti-corporate a bad thing? Is activism also bad? Aren’t all words made up? The word does indeed refer to something. Just because you disagree with it doesn’t mean it doesn’t exist.
> The word does indeed refer to something. Just because you disagree with it doesn’t mean it doesn’t exist.
That's irrelevant here. Virtually everyone would agree that the word "libtard" also refers to something, but very few would actually appreciate it being used.
Really, throughout the entire funding process no one raised the similarity of "Hugging Face" to "Face-huggers", the larval name for the Xenomorphs from Alien ?
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Can I ask what you deploy it on? They do require GPUs?
Some of the models in TheBloke's repo are optimised for things like ggml, which runs well on Mac chips. Not sure if that's what you mean? Have been experimenting with deploying to Mac's for inference as they are cheaper and use less power. But also still deploy to a substantial amount of gpus too. Either way I try to take connections to huggingface hub out of the equation at deployment time.
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They represent a real risk to the AI ecosystem IMO (or opportunity if you're an investor). They have really cornered the market on model hosting as well as frameworks for running them, it's going to get ugly when they start turning the screws. I think it's important for people to diversify away from them and not build anything that uniquely depends on them. It's not good to have chokepoints like this.
Diversify to what, though? The economics of hosting models and datasets seem to just not be great in general. For the same reasons that we can expect HF to eventually crack down on the "freeloaders", I think pretty much any other entity also will unless it's explicitly set up as a public benefit. I could see this sort of thing maybe being funded by universities or their affiliated foundations, but most companies with…
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Interesting situation with public markets funding Nvidia which is investing in its own customers, driving further strong financial results driving further public investment. A high risk high reward play. Nvidia is eating AI.
Humorously(?), you’re also exactly describing a pyramid scheme