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The AI Fad Just Burned to the Waterline

48 点作者 dxs3 个月前

12 条评论

lumenwrites3 个月前
So, a cuttting edge AI model turned out to be much cheaper and easier to produce than we thought. Weird reason to call something a "fad". Here's to hope nobody invents a way to produce much cheaper and faster cars, or this whole Car Fad will be over too.
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ebiester3 个月前
I can see this being bad for OpenAI, Microsoft, and Anthropic, for sure, or at least their current valuations, but I just don&#x27;t understand why people think this is popping the AI bubble.<p>This makes a bad assumption that the state of the art is not progressing, that we have exhausted all ideas about how to make models better, that the only way to make models better is to throw more GPUs to it, that there won&#x27;t be a significant market for actually running the LLMs, and most importantly, that we have somehow exhausted all of the applications for AI.<p>Even if Deepseek &#x2F; Deepseek-equivalent models were the limit of what we can do with models, and AI and Anthropic completely busted, we still have ten years at least of developing the most effective applications of them and combining them with other tools to improve productivity.<p>This feels like some people are too high on it, and some people are overreacting.
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talles3 个月前
I feel most people are rooting for it to be a fad than actually believing that it is. We&#x27;ve barely started to hook these things up on our business processes and companies are investing heavily right now in doing so. Give it a few years.<p>As for stock prices, no comments from me.
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benterix3 个月前
&gt; there is no monopolistic moat to guarantee profits, and no revenue stream to milk. Rather, like deploying billions of dollars on data farms to improve search, there is no revenue at all. Nobody&#x27;s paying a single dollar for AI enhanced search.<p>Not only is nobody going to pay for &quot;AI-enhanced search&quot;, people are actively trying to avoid it. This also applies to several other areas where AI slop is basically damaging any business it touches.
jebarker3 个月前
I&#x27;m really tired of the word &quot;moat&quot;.
2OEH8eoCRo03 个月前
I&#x27;m bullish on AI long term but it still seems over sold currently.
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brianhama3 个月前
I can’t wait to see how this article ages.
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MangoCoffee3 个月前
the internet is a fax machine - Paul Krugman<p>Nvidia got lucky - Intel<p>Is AI a fad? Who knows? However, I&#x27;m pretty sure we can build on top of this AI wave and use Nvidia&#x27;s chips or any AI chips for other applications
readthenotes13 个月前
What a strange take. It&#x27;s like saying the indoor lighting fad is over now they&#x27;re pulling oil out of Pennsylvania.<p>Sure, whaling may be in trouble, but that&#x27;s just an input to the technology
dboreham3 个月前
There&#x27;s a difference between &quot;revolutionary new technology&quot; and &quot;guaranteed way to make excessive profits&quot;.
exabrial3 个月前
Can we please FFS stop adding AI to everything? Crikey.
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dagelf3 个月前
Another know-it-all calling AI a bubble. Lets revisit this, not in 10 years, but in 5. Things the article misses: &quot;Bubbles&quot; happen for more reasons than hype. There are moats, just not in the obvious or same old places. Funny thing is, an LLM can probably write a better TL;DR, that captures it better, not to mention a more insightful article.
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