| ▲ | kpw94 a day ago |
| Remember just 6 months ago that "Ggml.ai joins Hugging Face to ensure the long-term progress of Local AI"
(https://news.ycombinator.com/item?id=47088037) (Ggml.ai is llama.cpp.) Curious if the “I consider HuggingFace more "Open AI" than OpenAI” sentiment in that top comment will still apply with NVIDIA as the boss now... |
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| ▲ | heliosAtwork a day ago | parent | next [-] |
| Nvidia is promoting "unmetered intelligence". Jensen wants everyone to have a spark dgx with an nvidia chip in their home. |
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| ▲ | yborg a day ago | parent | next [-] | | Wasn’t Huang the guy who said your $500K employee should burn at least half his salary on tokens? I don’t think Nvidia is focused on cost-effective general computing for anybody. | |
| ▲ | gscott a day ago | parent | prev [-] | | Maybe but they make their real money in data centers. Certainly, they want to have fingers on every trend. Owning something the Government wants to control gives you more access to trade repression of open models for more Government favors and money. |
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| ▲ | make3 a day ago | parent | prev [-] |
| NVidia has reasonable incentives to keep things open indefinitely, it wants people to use it's GPUs |
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| ▲ | noosphr a day ago | parent | next [-] | | Issue is that llama.cpp is the best way to run models on hardware that isn't nvidias. | | |
| ▲ | dannyw a day ago | parent | next [-] | | A lot of llama.cpp contributions come from the community and ecosystem, like Unsloth. If something goes awry, I fully expect lots of forks. | | |
| ▲ | MrDrMcCoy 12 hours ago | parent [-] | | There already are a lot of forks for things they decline to implement. TurboQuant, ROCmFPX, and more. I need to set up an agent that will loop on merging them. |
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| ▲ | alightsoul a day ago | parent | prev [-] | | Except when they have less than 16 gb of ram? |
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| ▲ | well_ackshually a day ago | parent | prev | next [-] | | Nvidia is halving the production of its higher end GPUs, doubling prices and heavily segmenting the market. They don't give a single shit about individuals. One wafer that makes 10 5090s that might sell at 3000 each, or one wafer that it already sold 6 months ago for 200k to one of the incestuous AI companies it works with? | |
| ▲ | swozey a day ago | parent | prev [-] | | It'd be really nice if I could use my egpu 4090 on my macbook pro.. | | |
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