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Meta dropped three new models ( over the weekend: Scout, Maverick, and the still-training Behemoth, billed as the next evolution of “open-ish” AI. But instead of excitement, the response was mostly shrugs. Critics called the release underwhelming, saying it lacked the edge expected in today’s breakneck AI race. Meta’s clear attempt to claw back some attention quickly turned messy. Accusations began circulating ( on X and Reddit around benchmark tampering, a mystery ex-employee, and large gaps between the models’ public and private performance.
Today, on TechCrunch’s Equity ( podcast, hosts Kirsten Korosec, Max Zeff and Anthony Ha are unpacking Meta’s rocky rollout, the AI industry’s obsession with looking smart on paper, and why, as Kirsten put it, “creating something to do well on a test doesn't always translate to good business.”
Listen to the full episode to for:
• A breakdown of Trump’s latest tariff push, what you missed ( and how companies ( are bracing ( for impact (
• The secretive EV startup backed by Jeff Bezos ( , and whether it was Bezos’s Plan B
• Colossal Biosciences’ Dire Wolf discovery, and whether or not the breakthrough justifies the startup’s $10B+ valuation (
Equity will be back next week, so stay tuned!
Equity is TechCrunch’s flagship podcast, produced by Theresa Loconsolo, and posts every Wednesday and Friday.
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2025/04/11
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