The bet of billions of dollars of meta is the scale of the role of AI as a back spine of the AI ​​market

Three months after the developer of Chinese artificial intelligence Deepseek overturned The world of technology with a model that rivaled with the best in America, a 28 -year -old AI executive named Alexandr Wang come to Capitol Hill to tell the decision -makers of politicians what they had to do to maintain American domination.

The United States, Wang, said at the hearing in April, must establish a “national AI data reserve”, provide enough power for data centers and avoid an expensive patchwork of state rules. The legislators welcomed his comments. “It’s good to see you again here in Washington,” said Republican representative Neal Dunn from Florida. “You become a regular here.”

Wang, the chief executive officer of the AI ​​scale, is perhaps not a familiar name in the same way that Sam Altman of Openai has become. But he and his business have acquired a significant influence in technological and political circles in recent years. Scale uses an army of entrepreneurs to label data that technological companies such as Meta Platforms Inc. And Openai uses to train and improve their AI models, and help companies create personalized AI applications. Increasingly, this enlist doctorates, nurses and other experts with advanced diplomas to help develop more sophisticated models, according to a person familiar with the problem. In simple terms: the three pillars of AI are fleas, talents and data. And the scale is a dominant actor in the last of these.

Now, the Startup stature should develop even more. Meta is in talks to make an investment of several billion dollars in the scale, Bloomberg News reported During the weekend. Funding can exceed $ 10 billion in value, making it one of the largest financing events for private companies for all time. The startup was evaluated at About $ 14 billion In 2024, as part of a financing cycle which included the support of Meta.

In many ways, the rise of the scale reflects that of Openai. The two companies were founded about ten years ago and bet that the industry was then at the dawn of what Wang called “AI inflection point.“Their CEOs, who are friends And Briefly experienced togetherThey are both followers of followers and have served as faces of the AI ​​sector before the Congress. And Openai, too, was at the reception of a 11 -digit investment of a large technological company.

The trajectory of the scale has shaped and was shaped by the Boom of the AI ​​that Optaai has unleashed. In its early years, the scale focused more on the labeling of car, traffic lights and traffic light images to help form the models used to build autonomous cars. But it has since contributed to annotating and managing the massive amounts of text data necessary to create the so -called important language models that feed chatbots as chatgpt. These models learn by drawing models from the respective data and labels.