The drama around DeepSeek builds on a false property: Large language models are the Holy Grail. This ... [+] misguided belief has driven much of the AI financial investment craze.

The story about DeepSeek has interrupted the dominating AI story, wifidb.science affected the marketplaces and spurred a media storm: A large language design from China competes with the leading LLMs from the U.S. - and it does so without requiring almost the costly computational investment. Maybe the U.S. doesn't have the technological lead we thought. Maybe heaps of GPUs aren't necessary for AI's special sauce.

But the heightened 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 made out to be and the AI investment craze has actually been misguided.

Amazement At Large Language Models

Don't get me wrong - LLMs represent unmatched progress. I've remained in artificial intelligence since 1992 - the first 6 of those years working in natural language processing research study - and I never ever believed I 'd see anything like LLMs during my lifetime. I am and will constantly remain slackjawed and gobsmacked.

LLMs' exceptional fluency with human language validates the enthusiastic hope that has actually sustained much device discovering research: Given enough examples from which to discover, computers can develop abilities 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 computer systems to carry out an exhaustive, automatic learning process, but we can barely unpack the outcome, the important things that's been discovered (built) by the process: [users.atw.hu](http://users.atw.hu/samp-info-forum/index.php?PHPSESSID=89eab38196deb8993fa27423fd44e864&action=profile