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Meta's Llama drama and how Trump's tariffs could hit moonshot projects

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Manage episode 476450331 series 2552004
Content provided by TechCrunch, Mary Ann Azevedo, Theresa Loconsolo, Rebecca Bellan, Kirsten Korosec, Devin Coldewey, and Margaux MacColl. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TechCrunch, Mary Ann Azevedo, Theresa Loconsolo, Rebecca Bellan, Kirsten Korosec, Devin Coldewey, and Margaux MacColl or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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:

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.

Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes here.

Credits: Equity is produced by Theresa Loconsolo with editing by Kell. We’d also like to thank TechCrunch’s audience development team. Thank you so much for listening, and we'll talk to you next time.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

647 episodes

Artwork
iconShare
 
Manage episode 476450331 series 2552004
Content provided by TechCrunch, Mary Ann Azevedo, Theresa Loconsolo, Rebecca Bellan, Kirsten Korosec, Devin Coldewey, and Margaux MacColl. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TechCrunch, Mary Ann Azevedo, Theresa Loconsolo, Rebecca Bellan, Kirsten Korosec, Devin Coldewey, and Margaux MacColl or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

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:

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.

Subscribe to us on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. For the full episode transcript, for those who prefer reading over listening, check out our full archive of episodes here.

Credits: Equity is produced by Theresa Loconsolo with editing by Kell. We’d also like to thank TechCrunch’s audience development team. Thank you so much for listening, and we'll talk to you next time.

Learn more about your ad choices. Visit megaphone.fm/adchoices

  continue reading

647 episodes

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