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.
Key takeaways
◾Accenture’s $29 AI cap is smart, but proven high spenders should get exceptions
◾Meta built a 200-person AI team out of 70,000 staff, which Zuckerberg calls talent density
◾Tesla’s flying Roadster is a stunt, and agents still need a human check
Chapters
00:00 Tesla’s flying car stunt
04:56 Is the Roadster $50,000 or $250,000?
09:48 Why Porsche lost its edge
12:22 Agents, not models
13:58 Agents still unreliable in marketing
17:19 Karpathy’s AI-gap funnel
20:00 Agent slop and the cost of rework
21:00 Workflows as a service
22:08 X Money: 6% interest
26:34 The AI blog post test
32:08 Potato, SpaceX and GrokBot
32:41 Writing is thinking
36:34 Which channels are S-tier
37:55 Are newsletters dead?
41:24 Rule of 7 is now the rule of 28
45:17 YouTube drives leads you cannot attribute
47:47 Meta’s 200-person AI team, talent over size
49:00 Neil’s private equity mindset
52:08 Neil’s debt: SOFR plus 2%
55:41 Failures: rockets, timelines and the metaverse
56:42 Accenture caps AI spend at $29 a month
1:00:14 Ramp’s AI spend index: median is $11
1:02:09 Neil downgrades his ChatGPT plan
1:03:03 A 45-minute AI session that is worth it
1:04:49 Two-slice teams, not two-pizza teams
1:09:02 Bending Spoons: a private equity model
1:11:47 Evernote: 433 staff at peak, about 30 now
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