- Meta is recruiting leading AI experts to create a team focused on superintelligence.
- Zuckerberg personally oversees hiring and even reorganizes offices to attract new talent.
- The company competes with giants like OpenAI and Google, offering unprecedented salary packages and large investments in infrastructure and data.
- The goal is to achieve artificial general intelligence (AGI) and surpass the results of previous models such as Llama 4.
Meta is carrying out an intensive recruitment campaign in the artificial intelligence (AI) sector, with the clear goal of building an elite team specialized in superintelligence. Mark Zuckerberg, CEO of the technology company, has put all his efforts into recruiting the best AI researchers and experts, a decision that could mark a turning point for the company after several product launches that have not met market expectations.
In the last weeks, Zuckerberg has been directly involved in recruitment, organizing in-person meetings at their homes in Lake Tahoe and Palo Alto, and moving the recruitment activity to private chats like the so-called “Recruiting Party.” The goal is compose a list of around 50 profiles, all focused on the creation of new technologies capable of achieving so-called general artificial intelligence (AGI).
New laboratory and internal restructuring in Meta
To accelerate development in AI, Meta has restructured its offices, moving new signings closer to the board.This new research lab, known internally as the 'Superintelligence Group' or 'Superintelligence Labs', is one of Zuckerberg's big bets to reposition the company at the forefront of technology. According to sources cited by media outlets such as Bloomberg and The New York Times, The selection process is so exhaustive that million-dollar salary packages have been offered to attract talent from rivals such as OpenAI and Google..
Meta's ambition is to push the current limits of AI. and achieve systems capable of performing as well as—or better than—the human brain itself. This challenge, which seeks to go beyond the concept of AGI and move closer to a "superintelligence," involves integrating top-level experts and turning the company into a global leader in applied innovation.
In parallel to recruitment, Meta has announced investments of over $10.000 billion in Scale AI., a platform dedicated to processing and labeling massive amounts of data for training AI models. Alexandr Wang, founder of Scale AI, will join this new superintelligence team once the deal closes, along with other engineers from his company.
Big tech companies are in the middle of a race for AI supremacy. Meta aims to take on giants like OpenAI, Microsoft, Amazon, and Google., which have invested astronomical sums in laboratories, startups, and their own development. This competitive environment has led to a talent drain in the sector and has forced Meta to significantly improve its financial offerings and conditions to attract the best talent on the market.
Technical challenges and reorganization following recent releases
Bet Goal for superintelligence arises after the inconsistent performance of recent models such as Llama 4The launch of this language model has been criticized internally and by developers who have compared it to competing products, not always with favorable results. This criticism has motivated Zuckerberg to become more involved in managing the teams and launch an active search for new research leaders.
One of the key points is the decision of postpone the launch of the “Behemoth” model, initially presented as the most significant advance compared to OpenAI and Google. Doubts about whether it really represented a significant improvement led Meta management to postpone its plans and prioritize the creation of this new lab.
Meta has a solid history in the field of AI. Since the creation of its first laboratory in 2013, after failing to acquire DeepMind, The company has had relevant figures such as Yann LeCun leading its research.. The open source strategy, which includes releasing models like the Llama family so that third-party developers can take advantage of them, has been one of its main lines of work. Furthermore, its AI tools are already integrated into products such as Facebook, WhatsApp, Instagram and its Ray-Ban smart glasses.
Despite the investment and work done, Meta has faced the departure of several key researchers towards rival companies, what has increased pressure to offer more attractive conditions and prevent talent flight.
Regulatory context and future challenges
The movement of Meta comes at a time of great competitive and regulatory pressureThe AI sector is under the scrutiny of international organizations, and Meta has carefully structured its investments—such as the one in Scale AI—to avoid legal hurdles. At the same time, the pursuit of superintelligence is emerging as a long-term endeavor: both OpenAI and Google maintain that achieving AGI is their immediate goal, although they acknowledge that significantly surpassing human capabilities is still a distant challenge.
The coming years will be crucial for Meta's positioning in this field. With a strategy based on talent acquisition, multi-million-dollar infrastructure investment, and open development, Zuckerberg's company seeks not only to catch up, but also to stand out from its main competitors. and lead the next wave of innovation in artificial intelligence.
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