Palantir Exec calls LLMS “Jug Intelligence” and outlines AI Race Plans

AI For Business


Palantir executives had some strong words against the large language model.

The Denver-based AI software company reported the first quarter of $100 million in its second-quarter revenue report on Monday, with executives starting to call investors with comments on how to win LLMS and AI races.

“LLMS is a jagged intelligence agency that divorced from a fundamental understanding in itself,” Ryan Taylor, the company's chief revenue officer and chief justice officer, told shareholders of the revenue call. “At one moment, they may seem to outperform humans on some problem-solving tasks, but in the next phase they will not make catastrophic mistakes.”

“In contrast, our ontology is a pure understanding embodied in software. This is reality, not rhetoric,” Taylor adds, referring to a corporate approach to AI that is based on using logic and data to replicate a digital model of how an organization works.

These comments come after the company broke analyst expectations and nearly doubled US commercial revenues from the second quarter last year to $628 million. US military.

Company executives outlined how to win AI races and what talents will thrive at Palantir.

Shyam Sankar, chief technology officer of Shyam Sankar, told investors that the Trump administration's new AI action plan to promote AI deregulation has “off all the brakes” and that industry customers are “really excited to do their job.”

These comments respond to analysts at Bank of America, asking that Palantier plans to win the AI race in both innovation and talent retention.

“If you're a very talented person and believe that I'm tolerant of you that the West says it every day, then you can't find the place I saw. And now I've interacted with almost every agency in the West, many big businesses, many small businesses for over 20 years.

“If you come to Palantia, your career is set,” he added.

Palantir did not immediately respond to requests for comment from Business Insider.





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