Mark Zuckerberg's $150 million job offers are spreading fear
You might wonder why the Meta chief executive officer, whose company already prints money from clever ad targeting and recommendation software, needs to build god-like AI, but you'd be underestimating the hottest prize in tech, which Alphabet's Google and OpenAI have been vying to win. Zuckerberg is now coming from behind with a viable shot at getting there first.
Having attracted some of AI's top brains with huge sums and previous pledges to make AI free for all and potentially more impactful, he's now created momentum among other leading scientists who see his team as having a statistically higher chance of building 'super-intelligent' AI systems before anyone else.
In just the last month, Zuckerberg has poached leading OpenAI scientist Lucas Beyer, who co-created the vision transformer; Ruoming Pang, who led Apple's efforts at building AI models; and Alexandr Wang, the former CEO of Scale AI who now co-leads Meta's Superintelligence Labs. In Wang's case, the cost to Meta was billions. But the result seems to be a halo effect as other big names in the field join, such as investor Nat Friedman and Daniel Gross, the CEO of Ilya Sutskever's startup Safe Superintelligence, and the remaining top talent starts to fear missing out on being the first to build super-intelligent AI.
Of course, money is a great motivator, but many of these researchers are already wealthy, and their field is so ideologically charged and so close-knit that they're motivated by the glory of being published in Nature or having a hand in the biggest new AI model, just as much they are by the prospect of yachts and mansions.
Zuckerberg's public commitment to open-source AI with his Llama model has already attracted scientists who believe such systems can have a more democratising impact if they're free for all. OpenAI made a similar bet early on, sharing much of its research freely 'for recruitment purposes,' according to its then-chief scientist Sutskever, before taking that work behind closed doors.
Investors have long questioned Zuckerberg's willingness to invest in advanced AI models and then give them away, and the lacklustre performance of Llama's most recent models may put pressure on the Meta CEO to consider more commercial approaches to AI. Meta's models lag those of Google DeepMind and OpenAI — a variant is ranked at 17 in one real-time leaderboard — and they're more expensive to run.
Many researchers reckon AI can eventually solve intractable human problems like ageing, climate change and cancer, and that, overwhelmingly through history, technology has been a net good for humanity. But for many, the desire to build that technology first is even more powerful, a dynamic not so different to the field of cancer research where scientists want to win the race to a cure as much as they want to find cures at all.
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