Consultant & Advisor = Community + Product + Marketing // Shutterstock // Ex-Google // @MaYiTheater

NYC
Joined November 2009
"Ghost creators" have been in use by marketers and misinformation campaigns for years. As AI-generated content masquerading as UGC rises, will we see an erosion in trust of social media UGC? What will come next? digiday.com/media/wtf-is-a-g…
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Good read: "...contemporary advertising is so hard to spot because it slots neatly into an internet apparatus in which run-of-the-mill users share the exact same incentive structure as traditional advertisers." neverhungover.club/p/why-is-…
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Corrie Davidson retweeted
The AI bubble math doesn't add up. Anthropic spends $3 to make $1 and that’s before you include any and all other costs like staff or electricity. Microsoft dumped $300B in capex, made ~$18B in AI revenue. OpenAI and Anthropic alone make up 43-54% of Microsoft, Google, Amazon and Oracle's entire revenue backlogs. Enterprises are burning through annual AI budgets in 4 months with zero measurable ROI. This is the most expensive science experiment in history, funded by your SaaS subscriptions.
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Musings on the OG internet: "Like picking up trash where you walk, even if the rest of the world is full of litter. You keep doing what you can to make things better." sive.rs/netizen
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Corrie Davidson retweeted
🦔Microsoft canceled its internal Claude Code licenses this week after token-based billing made the cost untenable, even for a company with effectively infinite cloud resources. Uber's CTO sent an internal memo warning the company burned through its entire 2026 AI budget in just four months. American AI software prices have jumped 20% to 37%, and GitHub (owned by Microsoft) is dropping flat-rate plans for usage-based billing across its products. My Take The AI subsidy era is ending in real time. The same company that put $13 billion into OpenAI and built the Azure infrastructure powering most of Anthropic's compute just looked at the bill from a competitor's coding tool and decided it was not worth paying. That is not a productivity failure on Anthropic's end. Token-based pricing is forcing every enterprise customer to confront the actual cost of running these models at scale, and the number turns out to be far higher than the flat-rate experiments suggested. This ties directly to my Gemini Flash post yesterday. Anthropic, OpenAI, and Google all raised effective prices in the last six months. Enterprises that built workflows assuming AI costs would keep falling are now watching annual budgets evaporate in months. Two outcomes look likely from here. Either enterprises scale back AI usage to fit budgets, which slows the revenue ramp the labs need to justify their valuations ahead of IPOs, or the labs cut prices and absorb the losses, which makes the unit economics worse at exactly the wrong moment. Both paths land in the same place, the numbers stop working, and somebody has to take the writedown. Hedgie🤗
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It's so easy to corrupt AI search results -- but are people willing to do the verification required to stop the AI slop cycle? Can they? open.substack.com/pub/lilyra…
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"The $0.99 first month model doesn’t just improve conversion — it fundamentally changes what signal you’re feeding the algorithm. You’re no longer training the network on “users who clicked a free button”. revenuecat.com/blog/growth/f…
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Khaby Lame sold his brand to a company that "plans to create an AI version that will include his face, voice and behaviors to create multilingual social media content, as well as increase his output and posting capabilities across multiple time zones." hollywoodreporter.com/busine…
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