531–540 of 952 posts
Remember when Facebook bought Instagram for a BILLION dollars and everyone thought it was insane? THIRTEEN BILLIONS for ONE THING.
The amounts are incomprehensible at this point. I don't think anyone can conceive of 13 billion dollars accurately, including the people brokering this deal, they're just thinking of bargaining chips and weighing them in comparison to how many they have.
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They absolutely should, but what would be their impact on American companies buying each other out?
If they want to operate in the EU, quite a lot. See cases against Microsoft, Apple for example.
It's different for their local counterparts, but the original companies?
I guess this unfortunately means HuggingFace won't be "the first company to go public with an emoji instead of the three-letter ticker" as the cofounders originally intended: "When we started the company, a running joke with my co-founders was that we wanted to be the first company to go public with an emoji instead of the three-letter ticker when you go in the NASDAQ." -- Clem Delangue (https://unsupervisedlearning.…
Historically NYSE (and AMEX; thought of in this specific context as CTA) had a lock on 1-3 character symbols. NASDAQ (via UTP) had a lock on 4-6 character symbols.
For a long time you could tell where something was listed purely by looking at the length of the symbol it traded under.
This all changed in the late 2000s or so, so no longer useful information.
I honestly would leave the industry if one of the exchanges tried to bend the industry to allow an emoji in a symbol. The communication protocols essentially lock this at 8 character alpha. It would be a huge pain in the ass, for everyone, to change this just because some exchange wants to appeal to a potential listing.
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To be fair Microsoft haven’t done as much integration with their eco system; such as integrating it with Azure DevOps as they could. And long may it continue.
You missed the whole game-ification, enshitification, copilot-ification of github, and open source theft for their AI training episodes Always like that with Microsoft apologists
The copilot service and the training on open source would be the same if Microsoft hadn't bought GitHub, it would just be branded differently.
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When last looked at it, NVIDIA was not supporting OpenCL beyond 1.0. Also, when running OpenCL, NVIDIA hardware disables multiple DMA engines, and allows only one memory transfer at a time to prevent OpenCL running as fast as CUDA. Did NVIDIA finally allow open source drivers to access all parts and features of the card to allow feature parity? Last time I checked they were considering a plan for planning a solution…
People love to blame NVidia on OpenCL failure, maybe Intel and AMD should actually deliver something compute researchers want to use?
Having said that, I'll try compiling a OpenCL 3.0 program in the cluster, so I can report whether NVIDIA runs this software, and if yes, how well.
Just now I got my hands wet with local LLMs before this was announced. Can somebody from llama.cpp/ggml.ai confirm this?