Llama · Meta · Open Source · Mark Zuckerberg · Anthropic · OpenAI · CNBC Technology
Almost 10 months after Meta spent billions of dollars to bring in Scale AI's Alexandr Wang as the centerpiece
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While rivals like OpenAI, Anthropic and Google have spearheaded the artificial intelligence boom with powerful models and popular chatbots as well as other services, Meta has been a hefty spender on AI but has yet to show any new revenue streams from it.
Key facts
- Almost 10 months after Meta spent billions of dollars to bring in Scale AI's Alexandr Wang as the centerpiece of Mark Zuckerberg's AI overhaul, the company finally revealed Muse Spark on Wednesday
- Advertising accounted for 98% of Meta's $200 billion in revenue last year
- In June, Meta shelled out more than $14 billion to hire Wang and some of his top engineers and researchers, soon creating Meta Superintelligence Labs as a new elite unit
- WATCH: Why Meta's new AI model, Muse Spark, is such a big deal
Summary
Almost 10 months after Meta spent billions of dollars to bring in Scale AI's Alexandr Wang as the centerpiece of Mark Zuckerberg's AI overhaul, the company finally revealed Muse Spark on Wednesday, its first new model since the transition. In June, Meta shelled out more than $14 billion to hire Wang and some of his top engineers and researchers, soon creating Meta Superintelligence Labs as a new elite unit. "It's been a year of no releases and a lot of hiring, and then the capex worries for this year are pronounced," said Morningstar analyst Malik Ahmed Khan, in an interview. Meta's second step, Khan said, is making the model work and figuring out how to monetize it.