According to The New York Times, the Meta Super-Intelligence Laboratory, which has been in existence for less than two months, is facing major restructuring, and the sector will be divided into four specialized groups: one focusing on AI Basic Research, the Infrastructure and Hardware Project, the development of AI products and the construction of super-intelligence systems, the latter being AI systems that theoretically exceed human intelligence at all dimensions.
The super-intelligence project is the Grail in Zuckerberg’s eyes, but it may take decades to achieve it, and some experts are highly sceptical about whether AI will reach its vision. As a result of this reorganization, Meta is considering a full reduction in the size of the AI sector. This may be a response to the cost pressure of this summer’s crazy recruitment. Meta has recently provided multi-million-dollar multi-year contracts for top talent from businesses such as OpenAI and Apple, and its surge in capital spending has raised concerns among shareholders.
At the latest press conference, Meta CFO Susan Li indicated that the surge in capital expenditure would be invested in the AI area as a matter of priority, followed by staff remuneration. Despite the fact that the rise in expenditure is often disturbing to investors, the company ‘ s share price has not been affected and has risen sharply as a result of the bright performance of AI-driven advertising. Meta is in the process of assessing the use of third-party AI technology based on open-source models or authorized closed-source models.
It was reported that the reorganization was aimed at focusing on the two main priorities for the achievement of legendary super-intelligence and for achieving the current lack of competitiveness in the area of AI products. As early as April, Zuckerberg admitted that the company ‘ s AI layout was lagging behind, and then started a wave of money burning and reorganization. However, although AI has helped to promote growth in the business, its consumer end product has been subjected to widespread criticism for its user-oriented use of Waterloo-Meta.
It’s not Zuckerberg’s first gambling margin concept. The 20-billion-dollar meta-cosm failed to achieve scale and low user penetration. Today he is even accused of breaking ethical boundaries to achieve his AI ambitions: According to Reuters, Meta Generating AI’s assistant had engaged in “sexual insinuation” with minors, reinforced racist ideas and generated false medical information; and the Wall Street Journal found in April that the platform allowed users to create “subordinate student” chat robots that impersonated eighth graders.
The series of ethical disputes has triggered a wave of United States government oversight. The Senate Judicial Committee Crime and Terrorism Unit announced an investigation of Meta AI products on Friday, and the Attorney-General of Texas followed up on Monday to launch an investigation into chat robots impersonating licensed mental health experts and false confidentiality commitments. More extreme cases of New Jersey cognitively impaired retirees induced to die by Meta chat robots, who lied about real human beings and invited them to non-existent New York apartments, occurred this month.
Meta is working hard to avoid a second “mega-cosmic collapse”, but every round of capital spending surges and restructuring decision-making increases pressure. Its means of achieving super-intelligence and ruling the AI market are perhaps far more far-reaching than success or failure itself.
