Meta Can Buy AI Talent. It Can't Buy Time.

Meta Can Buy AI Talent. It Can't Buy Time.

Meta pushed Avocado's release to May after it failed to match Gemini 3.0. Leadership discussed licensing Google's model to fill the gap.

On Tuesday, Meta announced a multiyear deal with Nvidia worth tens of billions of dollars. Blackwell GPUs and Vera Rubin rack-scale systems, millions of chips flowing into data centers across 26 U.S. sites, with Grace CPUs arriving as standalone deployments for the first time. On Thursday, the New York Times reported that Meta's flagship AI model, code-named Avocado, cannot keep up with Google's Gemini 3.0. The release has been pushed from March to at least May.

Same week. Same company.

This article continues below.

Sign up once, read everything for free. No algorithms, no fluff—just the AI intel that actually matters for your work.

Get free access →
Already have an account? Sign in

Great! You’ve successfully signed up.

Welcome back! You've successfully signed in.

You've successfully subscribed to Implicator.ai.

Success! Check your email for magic link to sign-in.

Success! Your billing info has been updated.

Your billing was not updated.