The drama around DeepSeek constructs on an incorrect property: Large language designs are the Holy Grail. This ... [+] misguided belief has driven much of the AI financial investment frenzy.

The story about DeepSeek has disrupted the prevailing AI story, impacted the marketplaces and stimulated a media storm: A big language model from China takes on the leading LLMs from the U.S. - and links.gtanet.com.br it does so without requiring nearly the costly computational investment. Maybe the U.S. does not have the technological lead we believed. Maybe stacks of GPUs aren't necessary for AI's unique sauce.

But the increased drama of this story rests on an incorrect premise: LLMs are the Holy Grail. Here's why the stakes aren't nearly as high as they're constructed out to be and the AI investment craze has actually been misguided.

Amazement At Large Language Models

Don't get me wrong - LLMs represent extraordinary progress. I've been in artificial intelligence because 1992 - the first 6 of those years working in natural language processing research - and I never ever thought I 'd see anything like LLMs throughout my life time. I am and will constantly stay slackjawed and gobsmacked.

LLMs' remarkable fluency with human language confirms the enthusiastic hope that has actually sustained much maker discovering research: Given enough examples from which to discover, computers can develop capabilities so advanced, they defy human comprehension.

Just as the brain's performance is beyond its own grasp, so are LLMs. We understand how to program computers to perform an exhaustive, automated learning procedure, but we can barely unpack the result, the thing that's been learned (constructed) by the process: [users.atw.hu](http://users.atw.hu/samp-info-forum/index.php?PHPSESSID=eded5a16de6cbb5e0bac10e421162d90&action=profile