The battle for the most bright brains in Artificial Intelligence has reached a fever pitch, and the meta is firm to buy its way to the top. The company is aggressively hunting talent from rivals, including lamps, and hanging packages of hundreds of crores.

But Deepmind’s Kofounder and Chief Executive Officer, Demis Hasabis, is not particularly affected. In an interview this week, he described Mark Zuckerberg’s strategy as “logical”, but also suggested that purely induced people with money are unlikely to shape the future of AI.

Earlier this year, Meta quietly launched its Superintendent Labs, which was a new project led by two high-profile Silicon Valley data: East-scale AI boss Alexander Wang and Nut Freedman, who previously drove Githib. After the Lama model released in April, the initiative was taken to inject fresh life in Meta’s AI ambitions, which failed to establish the world.

Zuckerberg is said to have individually involved in talent hunting, allegedly wooing some of the largest names in AI research with Stratosphere Offer, whispering the package industry as $ 200 million a year.

Results are already showing: Researchers from Openai, Google and Apple have resigned to join the meta, increasing the worldwide eyebrows.

However, Hasabis believes that deep inspiration for top scientists is beyond pay check. “There is a strategy that the meta is still taking,” he told Bloomberg. “I think people who are real believers in the AGI mission and what they can do, and understand the results, both good and bad, are mostly to be on the border, so they can help impress how plays out and securely provoke technology in the world.”

Meta, he said, “Not yet on the border. Perhaps they will manage to go back there. And it is probably rational, what they are doing from their point of view, because they are behind and they need to do something. But I think I think there are more important things than just money. Of course, people have to pay market rates, and they continue to go up.”

The CEO of Deepmind also reflected how the AI Field has dramatically replaced in more than a decade. “We cannot raise any money. I did not pay myself for a few years,” he said about the early years of Deepmind.

“Now,” he added with a touch of incredibility, “the intern is being paid which we had raised as our first seed round.” This comment shows how much AI Gold Rush has distorted the valuation and salary as tech firms have earlier run for Artificial General Intelligence (AGI).

For Hasabis, the current frenzy of hiring and spending recalls a fundamental point: the actual award is located in the state -of -the -art of research, not in cashing. Dipmind acquired a reputation for scientific successes in 2014, acquired by Google, which clearly forces more than the mission to maste him in resolving protein structures.

Meta, meanwhile, is betting that a infusion of top level researchers will allow it to catch it in the genetic AI race, and perhaps leap to rivals such as openi, anthropic and, in fact, deepminds.

What Zuckerberg’s Megabex approach works, it remains to be seen. But for now, at least one leading voice in AI believes that the future is higher in the future than a vacant check.