Nvidia CEO Jensen Huang took to X to congratulate OpenAI's team on the release of the company's newest and most powerful model, Astra, and made the notable statement that 'AGI has arrived,' a term that typically describes AI models that match or surpass human intelligence.

OpenAI unveiled Astra on Thursday, calling it the world's 'most intelligent and aligned model,' and said it is capable of performing 'the most demanding professional work with unmatched speed, accuracy, and judgment.' Greg Brockman, the company's president, said on a call with reporters on Thursday: 'Welcome to the AGI era.'

AGI stands for artificial general intelligence, a concept that has become a core goal for leading frontier AI labs. OpenAI defines it as 'highly autonomous systems that outperform humans at most economically valuable work.' The company pitched Astra as a major research breakthrough and a shift in what's possible to delegate to AI.

Not everyone agrees with Huang's declaration. Gary Marcus, a prominent AI researcher and critic, said Huang had jumped the gun. 'Huang gave no evidence and no definitions, which feels to me like an effort at a takeover of a scientific question by corporate fiat,' Marcus wrote on his Substack Sunday evening.

Marcus attached his own 10-point definition of AGI, noting that Astra only meets one or two of those benchmarks. 'By conventional definitions, Astra still falls short,' he said. Sam Altman, for his part, told the 'Sources' podcast in a recent appearance that AGI is, at best, 'a very poorly defined term. I was going to say it's like an irrelevant marketing term.'

Frontier AI companies like OpenAI, Meta, Anthropic, and Google have grown increasingly reliant on advanced chips manufactured by Nvidia. In a funding announcement in March, OpenAI called Nvidia 'the foundation of our infrastructure.' The demand has translated into enormous sales for Nvidia, with the company reporting $96.2 billion in quarterly revenue in August, more than double the amount reported in the same period a year earlier.

Huang suggested there's plenty more computing power on the way, stating '400K GPUs coming online next,' referring to graphics processing units, the advanced chips used to train and run AI models.

Este artículo fue escrito con la asistencia de IA.
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