Meta draws 15 billion to recruit AI brains. But is the war of intelligence really intercontinental or is it mainly played in the corridors of Silicon Valley? Between Microsoft and Openai, Amazon and Anthropic, Meta tries to stay in the race. What if algorithmic power became the new measure of economic influence? The market already thinks.
In short
- Meta injects $ 14.8 billion to acquire 49 % of Scale AI.
- The objective is to create a “superintelligence” cell led by the founder of Scale, Alexandr Wang.
- The laboratory brings together fifty IA experts to surpass Llama 4 and compete with Openai and Anthropic.
- This strategic operation marks a return to the closed model to dominate the training of artificial intelligence.
Meta bet on SCALE AI to keep her hand on sensitive data
Meta, who does not want bitcoin in her cash, spent near 14.8 billion dollars to acquire 49 % of Scale AIa nugget Founded by Alexandr Wangnow aged 28 years old. The objective? Access the strategic logistics chain for data labeling, a discreet but fundamental pillar of any training in artificial intelligence. This major operation is part of A strategy to reconquer the heights.
Zuckerberg personally supervised theIntegration of Wang in a new laboratory dedicated to “superintendent”. According to Bloombergthis pole already has About fifty handpicked profilesrecruited in the best teams of AGE. The ambition is clear: exceeding the performance of GPT-4.
LLAMA 4recently launched, did not create the expected shock. And The Behemoth project is late. Meta, who had bet on open source to seduce developers, goes to a closed, more secret, more locked model. The signal sent? The data battle is now an algorithmic state affair.
The AI war is also local: Valley against Valley
Long seen as a duel between continents, the AI war now shows internal fragmentation. Silicon Valley is divided : META, OPENAI, XAI, Google Deepmind compete for talents, GPUs, and even offices. It is no longer just a question of optimizing a model, but of knowing which can do it on a large scale, with the best brains.
Besides, Some Meta engineers are already courted by Openaisometimes with nine -digit. For their part, the newcomers like Xai d'Elon Musk are fast approaching. While some dream of acting open and ethical, others set up teams in the shade, with billions.
In this context, Alexandr Wang becomes a strategic joker. The man behind Scale holds a unique ability to orchestrate the industrialization of AI. Its role goes beyond tech: it is a generational bet on a new digital leadership.
Towards hyperconcentration of power in AI: when intelligence becomes rent
Meta's movement questions. Is it catch up Or lock access to artificial intelligence? By injecting 15 billion in an external structure, Meta does not only seek innovation, but also Exclusive control of critical data. However, which controls the data, controls AI.
The risk is double : technical monopoly, but also cultural dependence. This dynamic is no exception to regulators. Several observers already anticipate antitrust surveys, both in the United States and Europe. The history of digital seems to be repeated: concentration, acceleration, domination.
Some figures weighing:
- 14.8 billion dollars: cost of the partial redemption of Scale Ai by Meta;
- 49 %: equity investment in the AI nugget;
- 9 figures: potential premiums paid to recruit the best AGE experts;
- 50 profiles: estimated size of the “super -saked” team led by Wang;
- 28 years old: Age of man now at the heart of Meta's IA strategy.
It is the biggest bet that Meta has ever made in the field of AI, this real revolution, it is said. The sentence is heavy with meaning. A bet, a race, a technological casino where the rules remain vague and the tokens, data.
Faced with competitors like Openai, Zuckerberg knows that he must go fast, strong and far. The next battlefield? Social networks themselves. OPENAI, with its prowess in artificial intelligence, is already working on a revolutionary social network, designed to short-circuit X and Meta. AI reconfigures not only technique, but the very foundations of human interaction.
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