Meta dropped three new fashions over the weekend: Scout, Maverick, and the still-training Behemoth, billed as the subsequent evolution of “open-ish” AI. However as an alternative of pleasure, the response was principally shrugs. Critics known as the discharge underwhelming, saying it lacked the sting anticipated in in the present day’s breakneck AI race. Meta’s clear try to claw again some consideration rapidly turned messy. Accusations started circulating on X and Reddit round benchmark tampering, a thriller ex-employee, and enormous gaps between the fashions’ private and non-private efficiency.
Immediately, on TechCrunch’s Fairness podcast, hosts Kirsten Korosec, Max Zeff and Anthony Ha are unpacking Meta’s rocky rollout, the AI business’s obsession with trying good on paper, and why, as Kirsten put it, “creating one thing to do effectively on a take a look at doesn’t all the time translate to good enterprise.”
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Fairness can be again subsequent week, so keep tuned!
Fairness is TechCrunch’s flagship podcast, produced by Theresa Loconsolo, and posts each Wednesday and Friday. Subscribe to us on Apple Podcasts, Overcast, Spotify and all of the casts. You can also comply with Fairness on X and Threads, at @EquityPod. For the total episode transcript, for individuals who favor studying over listening, try our full archive of episodes right here.
