The Looming US AI Investment Bubble: Alibaba Quen's Free Threat
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Discover the critical economic challenge facing US AI companies as highly capable, free models like Alibaba's Quen 3.5 emerge. This segment delves into why paying for AI tokens might become obsolete when powerful alternatives can automate tasks like customer service for free.
The speaker questions the viability of current multi-billion dollar investments in the US AI sector, highlighting the accessibility of powerful, open-source AI. Learn why these massive investments, including astronomical data center costs, may never pan out given the availability of robust, cost-free solutions.
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Transcript
And, for example, uh, Alibaba's engine's called Kwen, they just released their new version 3.5, a whole series of different sized models, like last week. And the the models are are very capable, uh, very good, and also very free, right? So, um, if you're a corporation and you need to do something internally, like automate customer service email responses, that's something that can be automated relatively reliably and quickly for about 90% of the emails. Why would you use OpenAI and pay per token when you can download Kwen for free and install it on a workstation for less than 10 grand, and it's gonna power your customer service system. You know what I mean? It's like there's no economic model for US AI companies, and yet they're they're taking on billions of dollars in investment and loans from even from companies like Amazon, and, you know, investment houses. I don't see that those investments are ever gonna pan out. I just don't see it. I think it's a little bit worse than that, because when you add in the data centers themselves, in Abilene, Texas, it's Stargate. Stargate initial cost, the budget, 500 billion. Right now today, somewhere ...