Show Notes
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Shopify's Tobi Lutke has a name for AI work nobody reviewed: a slop grenade. Eric explains how it lands on your desk and blows up your day, and Neil says AI simply reveals who is lazy and who is great. At his conferences almost everyone uses AI, but fewer than 5% edit what it writes, which is why so much marketing now looks the same. They build a policy on air: an emailed warning, then a write-up, then termination, and Eric argues growth only comes from discomfort, from SpaceX to training to failure. The episode closes on a 64-year-old SEO who spent $40K on his own AI rigs because nobody had to tell him to. A blunt episode on standards in the AI era.
Key takeaways◾AI amplifies what is already there, good work and lazy work alike◾Fewer than 5% of people edit AI output; that is why it all looks the same◾Put a paper trail on slop grenades: warning, write-up, then out
Chapters00:00 Slop grenades: AI work nobody reviewed01:56 Neil: AI shows you who's lazy04:35 Thinking Machines: AI amplifies intelligence06:36 Less than 5% edit what AI writes08:43 The 'is this your best work?' rule10:38 Warning, write-up, termination12:28 Growth comes from discomfort: SpaceX13:24 Train to failure, work to failure15:39 The 64-year-old SEO who spent $40K on AI rigs
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Eric and Neil say the rule of 7 has grown toward the rule of 28, and that buyers touch a brand 8 times for a sub-$100 B2C buy and 23 times at $10K-plus. A gelato shop stranger who knew them from different places makes the case that you never know where people will find you. They cover why YouTube drives leads that nobody can attribute, then Meta's $14.9B deal for 49% of Scale AI and the 200-person AI team that Alexander Wang, the former Scale AI CEO, leads. Zuckerberg's line that talent density beats big teams for AI is tested against Meta's 70,000 staff. Neil explains his private equity mindset and his debt at SOFR plus 2%, and they close on the failures that come with big bets. Attention, talent and the cost of big bets.
Eric and Neil start with X Money, which pays 3% cash back and 6% interest, and argue that the offer is under marketed and would get more people investing. They test an AI-written blog post on a client, who took it for human writing, then cover a time-on-page chart that compares human and AI content. They debate whether writing is thinking and whether a real name still beats AI copy. Dan Shipper's claim that newsletters are dying, from a writer with over 120,000 subscribers, leads to a debate on email, AI summaries in the inbox and whether YouTube is S-tier. They close on every channel getting more competitive over time. Human voice still earns the trust.
Eric and Neil open with Tesla's Roadster flying car, which they treat as a marketing stunt that keeps Tesla in the conversation. The AI fluency gap follows, with Karpathy's funnel, where most people barely touch an LLM, and agents that still misfire. Next is X Money and the newsletter debate, then a blog post test that a client took for human writing. The back half covers the rule of 28, Meta's 200-person AI team inside a 70,000 staff company, and why YouTube leads are hard to attribute. The show ends on Accenture's $29 monthly AI cap, Ramp's AI spend index and Bending Spoons' cuts at Evernote. Attention, trust and spend with a reason.
Some agencies win clients by inviting decision makers to Formula One boxes, but Neil prefers the way banks play the wine and dining game. Bank of America sent his CFO to a World Cup game with the hotel paid, and Wells Fargo offers suites and seats after the deal is done, just to say thanks. Then a competing bank tried to match Wells Fargo's refinance offer at the last minute, after months of saying no. Eric shares a group text pitch dressed up as comparing notes, and Neil tells the worst pitch he's heard: a financial advisor chasing a friend's $25M house sale and eight-figure profit with one cherry-picked account and a stock that barely moves down. A blunt episode on relationships and selling.