MICROSOFT AI LEADER: KEEP AI ON THE LINE FOR THE NEXT 5-10 YEARS WILL COST HUNDREDS OF BILLIONS OF DOLLARS

On December 19th, according to The Inside of BusinessMicrosoft AI Head Mustafa Suleyman In the latest issue of podcasts, Moonshots with Peter Diamandis, it was stated that in the next 5 to 10 years, it would take hundreds of billions of dollars in investment to stay ahead of the front line of AI。

MICROSOFT AI LEADER: KEEP AI ON THE LINE FOR THE NEXT 5-10 YEARS WILL COST HUNDREDS OF BILLIONS OF DOLLARS

HE STRESSED THAT THIS INCLUDED NOT ONLY THE DEVELOPMENT OF FRONT-LINE MODELS, BUT ALSO HIGH-PAYING COMPETITION BETWEEN TOP RESEARCHERS AND SKILLED PERSONNEL, AS WELL AS THE BUILDING OF A GLOBAL " THE SIZE OF INFRASTRUCTURE REQUIRED FOR CPU AND AI ACCELERATORS。

According to Suleyman, Microsoft is looking at itself as a "modern construction company" whose mission is to achieve self-sufficiency in front-line models and to create a "world-class super-smart team". He said that Microsoft was "drive the front line" with the goal of building "the strongest and safest super-smart model."。

Suleyman stated in the program that, according to the current cost curve, "it is hard to say" whether a start-up company can compete with a large plant on the front line of AI, and that part of the market valuation of "foam and uncertainty" stems from a disagreement as to whether an "intelligence explosion" will suddenly arrive - once such a turning point appears, "a lot of players may arrive at the same time."。

In his earlier public statement, he described the team's goal as the creation of a "super-intellectual intelligence of humanism" that is more closely related to the system of human interests。

Microsoft earned $77.7 billion in the latest financial season, with a current market value of about $3.54 trillion, and Suleyman believes that the "structural advantages" of large companies in terms of their ability to calculate and capital-intensive inputs will continue to emerge in this round。

Suleyman also stressed that the ability of large companies to integrate engineering and resources was a key advantage, describing the long-term objective of Microsoft as achieving greater endogenous capacity and safety standards on front-line models, and thus gaining ownership in the next phase of "super smart" competition。

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