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Mark Zuckerberg Just Got Rather Badly Humiliated

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Why This Matters

This article highlights Meta's struggles in the AI race, particularly its reliance on Google's Gemini AI due to underperforming in-house models like Llama. The setbacks underscore the competitive pressures and resource challenges faced by tech giants striving for AI dominance, impacting their innovation and operational efficiency. For consumers and the industry, it signals a potential slowdown in Meta's AI-driven features and a broader industry shift towards more cautious AI investments.

Key Takeaways

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Meta CEO Mark Zuckerberg was just caught with not just his hand, but his entire arm, inside the cookie jar.

In yet another sign that his company is seriously struggling to keep up in the AI race, Google informed Meta earlier this year that it was cutting Meta off from the Gemini AI capacity it needed, the Financial Times reports.

Ironically, the lack of access to Gemini — which is far superior to anything Meta has built in-house — slowed down Meta’s own AI projects, including data moderation and customer services, highlighting how heavily Zuckerberg’s company is leaning on its competitors as its own AI efforts languish.

The revelation is bound to sting. Despite committing over half a trillion dollars over the next two years, the company’s flailing AI efforts have been plagued by rock bottom morale, infighting, high-level executive departures, and related PR crises.

Sources told the FT that Meta chose Gemini over its in-house Llama open-source models simply because it performed much better.

While Google had to tell other clients it couldn’t meet their AI needs as well, Meta stood out because of its “exceptionally high demand for Google’s models,” according to the financial newspaper.

Meanwhile, Meta has had to do a 180 after initially encouraging its employees to use as much AI as possible. The company is now telling them to be far more frugal with AI tokens, sources told the FT.

A similar story is playing out across the rest of the tech industry, with leadership suddenly getting major sticker shock as access to AI tools continues to ramp up in price.

Meanwhile, Meta is still trying to get its Muse Spark, a multimodal reasoning model, off the ground. According to the company, it’s the “first step on our scaling ladder and the first product of a ground-up overhaul of our AI efforts.”

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