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Is Avocado… Toast?

21 min episode · 2 min read

Episode

21 min

Read time

2 min

Topics

Productivity, Fundraising & VC, Marketing

AI-Generated Summary

Key Takeaways

  • Meta AI Gap: Meta's Avocado model outperforms its predecessor Llama 4 and Gemini 2.5 from March, but falls short of Gemini 3.0 released in November. Meta is actively discussing temporarily licensing Google's Gemini to power its own products while Avocado catches up — a significant admission of competitive weakness from a company that invested $4.3 billion in Scale AI alone.
  • Social Media Liability Benchmark: The bellwether trial against Meta and YouTube in Los Angeles sets precedent for thousands of similar lawsuits. Jurors need only find negligence was a "substantial factor" in harm — not the sole cause — and just nine of twelve jurors must agree per count. TikTok and Snap already settled before trial, signaling financial exposure is real.
  • Streaming Convergence Strategy: Peacock and Disney Plus are both launching TikTok-style vertical video feeds. Peacock's Bravoverse feature generates over 600 billion possible clip combinations from 5,000 hours of footage. Disney Plus's Verz feed lets users swipe clips and jump directly into full shows. Netflix launched a similar vertical feed in 2024, confirming this is now an industry-wide retention tactic.
  • AI Paradigm vs. Task Automation: The critical distinction for understanding AI's economic impact is paradigm replacement versus task automation. ATMs automated teller tasks within existing branch banking; the iPhone eliminated the paradigm entirely, cutting US bank teller employment from 332,000 in 2010 to 164,000 by 2022. AI slotted into existing workflows will underdeliver — the displacement comes when entirely new organizational structures emerge.
  • Fully Automated Firm as the Real Threshold: Productivity gains and genuine labor displacement from AI will not come from drop-in AI workers filling human-shaped roles. The real inflection point arrives when AI enables wholly new organizational structures — what researchers call the fully automated firm — where workflows are rebuilt around AI capabilities rather than adapted from human ones. Current productivity data reflects the pre-paradigm-shift phase.

What It Covers

Meta's Avocado AI model faces delays until at least May after failing to match rivals Google, OpenAI, and Anthropic in internal benchmarks. The episode also covers a landmark social media addiction trial nearing verdict, streaming apps converging on TikTok-style vertical video, and a counterintuitive analysis of how AI will actually displace workers.

Key Questions Answered

  • Meta AI Gap: Meta's Avocado model outperforms its predecessor Llama 4 and Gemini 2.5 from March, but falls short of Gemini 3.0 released in November. Meta is actively discussing temporarily licensing Google's Gemini to power its own products while Avocado catches up — a significant admission of competitive weakness from a company that invested $4.3 billion in Scale AI alone.
  • Social Media Liability Benchmark: The bellwether trial against Meta and YouTube in Los Angeles sets precedent for thousands of similar lawsuits. Jurors need only find negligence was a "substantial factor" in harm — not the sole cause — and just nine of twelve jurors must agree per count. TikTok and Snap already settled before trial, signaling financial exposure is real.
  • Streaming Convergence Strategy: Peacock and Disney Plus are both launching TikTok-style vertical video feeds. Peacock's Bravoverse feature generates over 600 billion possible clip combinations from 5,000 hours of footage. Disney Plus's Verz feed lets users swipe clips and jump directly into full shows. Netflix launched a similar vertical feed in 2024, confirming this is now an industry-wide retention tactic.
  • AI Paradigm vs. Task Automation: The critical distinction for understanding AI's economic impact is paradigm replacement versus task automation. ATMs automated teller tasks within existing branch banking; the iPhone eliminated the paradigm entirely, cutting US bank teller employment from 332,000 in 2010 to 164,000 by 2022. AI slotted into existing workflows will underdeliver — the displacement comes when entirely new organizational structures emerge.
  • Fully Automated Firm as the Real Threshold: Productivity gains and genuine labor displacement from AI will not come from drop-in AI workers filling human-shaped roles. The real inflection point arrives when AI enables wholly new organizational structures — what researchers call the fully automated firm — where workflows are rebuilt around AI capabilities rather than adapted from human ones. Current productivity data reflects the pre-paradigm-shift phase.

Notable Moment

The ATM-didn't-kill-bank-tellers story, widely cited as proof technology preserves jobs, turns out to be only half true. Bank teller employment held steady through 2010, then collapsed — not because of ATMs, but because the iPhone made branch visits obsolete, cutting the workforce nearly in half within twelve years.

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Episode Transcript

At blinds.com, it's not just about window treatments. It's about you. Your style, your space, your way. Whether you DIY or want the pros to handle it all, you'll have the confidence of knowing it's done right. From free expert design help to our 100% satisfaction guarantee, everything we do is made to fit your life and your windows. Because at blinds.com, the only thing we treat better than windows is you. Visit blinds.com now for up to 50% off with minimum purchase plus a professional measure at no cost. Rules and restrictions apply. Welcome to the tech brew ride home for Friday, 03/13/2026. I'm Brian McCullough. Today, Meta's big new AI model is delayed because they still can't get to state of the art, apparently. The social media addiction trial is winding down. All the video apps are going to end up looking exactly like one another eventually. And of course, the weekend laundry suggestions. Here's what you missed today in the world of tech. Sources tell the Times that Meta has delayed the launch of its big Avocado AI model to at least May over performance concerns and also discussed temporarily licensing Gemini to power its products in the meantime. Quote, Mark Zuckerberg, the chief executive of Meta, said in July that his company's new artificial intelligence models would push the frontier in the next year or so. Now mister Zuckerberg, who has invested billions in the AI race, appears increasingly unlikely to hit that deadline, three people with knowledge of the matter said. Meta's new foundational AI model, which the company has been working on for months, has fallen short of the performance of leading AI models from rivals like Google, OpenAI, and Anthropic on internal tests for reasoning, coding, and writing, said the people who were not authorized to speak publicly about confidential matters. The model, code named Avocado, outperformed Meta's previous AI model and did better than Google's Gemini 2.5 model from March, two of the people said, but it has not performed as strongly as Gemini three point zero from November, they said. As a result, Meta has delayed Avocados release to at least May from this month, the people said. They added that the leaders of Meta's AI division had instead discussed temporarily licensing Gemini to power the company's AI products, though no decisions have been reached. How Meta's AI model performs is being closely watched in the competition over the fast evolving technology. Google OpenAI and Anthropic are widely regarded as ahead in foundational AI models, which are the basis for developing new chatbots, video generators, coding tools, and other products. Being at the forefront of AI development also helps companies recruit technologists and keep up a stream of experimentation. It takes time to improve AI models, and Meta can still catch up to rivals, AI experts said, but a longer timeline has set in at the company with mister Zuckerberg tempering expectations for Avocado in the past few months. I expect …

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