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> You can work on and compile Linux on a home PC, even more the case with their other projects. Try training GPT-4 on a home PC. Sam Altman was happy to join the venture and lead OpenAI knowing that it was the non-profit AI research company from the beginning. As a CEO, he was supposed to lead the company as it was created. As a result of his management, the company first ceased to be open, then in fact non-profit, then safe (according to it's leading scientists), then the number of published research whitepapers fell sharply, then has taken steps to become a gatekeeper for government regulations, and finally, the communication between Sam and the board (which really should be running the company) was lost. If a CEO was unable to manage a company, including attracting investment and resources, without violating the fundamental principles of that company, that CEO should have been dismissed — what has been effectively attempted by the board. Otherwise, it's a power grab and a de facto reformatting of the company into a different entity. Do you comprehend that? I have no idea what compiling Linux kernel, or running GPT-4 locally, does anything in common in the context of large non-profit organization management. My argument is that the company should have been run in such a way that one corporation could not seize complete control. Never, under no circumstances. In spite of this, the CEO made all the effort to make it so. As a result, we have now in fact a for-profit company with good product, tons of money and GPUs, that belongs to the Microsoft. Was it worth it? Does this justify it for you? If you are not a $MSFT shareholder the answer should be obvious. > If it's so easy for a scrappy non-profit to attract billions to tinker with AI, where I say are those startups? Where? Q.E.D. The most open thing we have, Llama, came from giant Meta. Take a good look at HuggingFace Chatbot Arena leaderboard page[1]. Pay attention to the values of different models on different benchmarks. GPT4 is the leader, but not by an unattainable margin. Anthropic, which has spinned off from the very same OpenAI, rapidly catches up, along with other solutions. Even free, open (for commercial usage) models, while being self-hostable, are not an orders of magnitude worse. They are well in range of being practical and useful, including for commercial products. There is no moat[2]. > Linux is important, but it's not nearly as expensive to create or maintain. > The problem is you have no idea what you're talking about. ROFL, okay buddy. [1] https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboar... [2] https://www.semianalysis.com/p/google-we-have-no-moat-and-ne... |
What's hard to comprehend here?
As for the models topping your Hugging Face chart, they're literally all funded (by the billion) by private enterprises and the US govt. It's baffling to me how this is supposed to be an argument in your favor. Even the "not by an unattainable margin" comment makes no sense, unless you think getting from 40% to 60% is as easy as getting from 60% to 80%, and then getting from 80% to 100%. Which you clearly seem to think.
Anthropic's models are closed and funded by the money of Sam Bankman-Fried, of all people, and more recently Amazon. They're trying to raise billions more from Google and others. That's your idea of being open and not needing corporate investment for some reason? LOL, oh my god.
The "free" model you're citing is MADE BY META, a company worth almost a trillion dollars, and which has the largest social media presence in the world, from which to mine data.
You have absolutely not even the faintest idea what you're talking about.