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News India Live, Digital Desk: Meta artificial intelligence It is preparing to take the biggest step ever in the field of its area. According to a report by Bloomberg, the company is in advanced discussions to invest more than $ 10 billion (about ₹ 87,000 crore) in Scale AI, a startup known for training data services power services to machine learning models.
If this happens, it can become the largest private investment ever in an AI company. The final terms are still under discussion, and both Meta and Scale have refused to publicly comment on the matter.
Scale AI, established in 2016 by Alexander Wang, plays a quiet but important role in AI Boom. The company helps major technical firms by organizing and labeling data, the kind of work is necessary to make the AI system smart. Its customers already include Microsoft and Openai, and this recently Defense lama A military-centered version of the lama named has worked with meta.
In fact, the scale is expanding the government and the defense partnership. It recently announced an agreement to work on the AI agent system with the US Department of Defense, called it “an important milestone in military progress”.
This investment is a major change for meta. So far, the company most internal teams and Lama As such, has trusted the open-source model. But rival technical giant has been more aggressive in funding external startups. Microsoft has invested over $ 13 billion in Openai, while both Google and Amazon have supported Anthropic. Meta does not provide cloud services like these firms, which makes its entry into third party AI investment notable.
Growing focus of Lama, AI Chatbot and Meta
Mark Zuckerberg, CEO of Meta has already said that this year the company’s top priority is AI. In January, he announced that Meta was planning to spend up to $ 65 billion on projects related to AI in 2025.
The company’s leading Lama model provides strength to its AI chatbot, which runs on WhatsApp, Instagram and Facebook. According to internal data, more than one billion people use AI accessories of meta every month.
Nevertheless, the efforts of Meta have had to question how it would carry forward these devices, especially without any cloud business that can match Amazon or Microsoft. By investing in scale, meta training can gain strong access to data infrastructure, which remains an important part of AI development.
No agreement has been signed yet. But if the deal is confirmed, it would be a big sign that the meta is ready to work perfectly on AI, not only with software, but also with raw materials to work to AI model.
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