Meta’s ambitious Llama 4 AI project has hit the wall, pushing its launch back to fall 2025. Training difficulties and performance issues plague the 2 trillion parameter behemoth, forcing Meta to pump $72 billion into AI infrastructure next year. The company’s stock tumbled 3% on the news, though it’s still up 10% for the year. With the entire AI sector struggling to find quality training data, Meta’s dream of AI supremacy faces some serious reality checks. The full story behind this delay goes deeper than meets the eye.
Meta’s much-hyped “Behemoth” AI model just hit another snag.
The tech giant has pushed back the release of its supposedly groundbreaking Llama 4 model until fall 2025 – or maybe even later.
Nobody really knows anymore.
The delay, which sent Meta’s stock tumbling more than 3% on May 15, marks the second postponement after an initial April launch was bumped to June.
The reason? Turns out building “one of the smartest LLMs in the world” isn’t as easy as Meta’s marketing department would have you believe.
Despite Meta’s bold marketing claims, creating cutting-edge AI models proves far more challenging than their promotional hype suggests.
Internal sources reveal the company is struggling to make the model live up to its own hype, with training difficulties and performance issues plaguing development.
So much for those bold claims about outperforming Anthropic, Google, and OpenAI.
The company has remained focused on addressing performance issues before any potential launch.
The ambitious 2 trillion parameter model was meant to be Meta’s biggest AI breakthrough yet.
The timing couldn’t be worse for Meta’s wallet.
The company plans to drop a cool $72 billion on capital expenditures in 2025, mostly for AI infrastructure.
That’s a lot of cash to spend on something that’s currently giving engineers headaches.
Like the Nasdaq Composite, Meta’s tech-heavy portfolio shows high volatility in uncertain times.
Meanwhile, Mark Zuckerberg has gone mysteriously quiet about Behemoth‘s timeline.
Funny how that works.
It’s not just Meta hitting speed bumps on the AI highway.
OpenAI pushed back GPT-5, and the entire industry is grappling with a growing problem: they’re running out of high-quality training data.
Turns out you can only train AI on cat videos and Wikipedia articles for so long before you need fresh material.
The delay has sparked internal drama at Meta, with executives pointing fingers at the Llama 4 team.
Some are even pushing for management changes in the AI product group.
Meanwhile, Meta’s shares, while down from the news, are still up 10% for the year.
Not terrible, but not exactly the AI revolution investors were promised.
For now, Meta’s grand AI ambitions are stuck in neutral.
The company might release a watered-down version of Behemoth to save face, but the dream of AI supremacy? That’s going to have to wait.
