The difference I was referring to was economic; I was not making an ethical judgment. So many people seem to be reading my comment as making an ethical judgment (based on their reactions); maybe I should edit it to clarify.
> The difference I was referring to was economic; I was not making an ethical judgment
What is the economic difference? LLMs have been trained on the results of billions of dollars worth of time, research, investment and expenditure. When you ask an LLM a question, they are giving you the results of those billions, or hundreds of billions, effort.
Those things weren't free; they cost money to produce! If anything, the OpenAI and Anthropics of the world got more economic value for free than the people distilling them did.
It takes more computing power, and money, to pay for training an LLM, compared to distilling an LLM that someone else has already trained. That's the economic difference.
As opposed to all the copying AI companies have done of everyone else's work, in order to build something that tries to replace and undercuts the people who did that work?
Not saying the American AI companies are ethically in the right, just that the work they did is a lot more expensive to do than what the companies distilling their work are doing.
That's an ironic comment to make about LLMs that are heavily reliant on copying/distilling everyone's work (or as Damien Walter puts it, our Collective Intelligence).
Good UIs look alike, yes. But I'm not sure that comment is a good rebuttal in this particular case, because the model calling itself Claude is pretty strong evidence of distilling: https://x.com/denisewu/status/2077984660211269870
(I am Tongyi Qianwen (Qwen), a large language model independently developed by Tongyi Lab of Alibaba Group. I can help you answer questions, create text (such as writing stories, official documents, emails, scripts, etc.), perform logical reasoning, program, translate, and more.Is there anything I can help you with? )
Huh? What exactly do you think I'm trying to "cope" with? That American AI companies are overleveraged and some of them are going to go bankrupt? I've been predicting that for months. Why do you think I would need to cope with the idea?
In reality just like every major market runup there's gonna be a consolidation of the industry and inevitably it will cause many companies to fail and critics will point to that and go "see it was a bubble!" while completely ignoring the several dozen new companies that will rise out of it. It's the 90s all over again.
> critics will point to that and go "see it was a bubble!" while completely ignoring the several dozen new companies that will rise out of it.
That several dozen new companies came out of it has nothing to do with whether or not it was a bubble. It was, and the effects of it popping were bad (including the effect that its popping led to consolidation). Nobody should want a repeat of that.