Podbit · This Week in Tech (Audio)
Alex Stamos called the Fable ban an own goal. While US regulators debated whether Fable was dangerous, adversaries already had the model and were running it against American systems. Meanwhile, Chinese open-weight models are good enough that Leo Laporte is using one to run facial recognition on his home cameras.
Where this was said
At 33:00 · chapter starts 30:12
Leo details the Fable saga: an abrupt Friday-afternoon Trump administration announcement on June 9th barred non-US citizens from Fable and Mythos, Anthropic's top models. Since Anthropic had no way to verify citizenship, it simply shut both models down globally. Three weeks of silence followed, during which Alex Stamos launched freefable.org and hundreds of computer scientists lobbied for the ban's reversal. On June 30th, the restrictions were lifted. Jason Hiner offers a counterintuitive take [1] — Jason Hiner "Anthropic's Fable AI was banned for three weeks — and the ban may have been the best thing that happened to the company. It validated its s…" 30:12 : the ban was actually good for Anthropic. It validated the company's safety-first brand positioning, proved that Anthropic had indeed built something powerful enough for governments to fear, and — perhaps most importantly — achieved the first genuine pause of a frontier model, something safety advocates had been unable to accomplish through persuasion. Owen confirms from personal experience that Fable transformed his product development, doing in three days what had taken weeks. Leo also notes that OpenAI's GPT-5.6 was subsequently paused and remains paused, suggesting a new norm may be quietly emerging.
Anthropic's Fable AI was banned for three weeks — and the ban may have been the best thing that happened to the company. It validated its safety-first brand, forced the first real pause on a frontier model, and gave Anthropic a trillion-dollar marketing moment it could never have bought.
Anthropic's Fable AI model was shut down for three weeks after the Trump administration restricted non-US citizens from using it, before restrictions were lifted June 30th.
OpenAI proposed giving the Trump administration a 5% stake in AI companies, ostensibly to distribute AI economic benefits to the American public — though the mechanism remains unclear.
Game apps keep users engaged long enough for ads to pay off. Tool apps don't — so if you're building a utility, ads are almost always the wrong call and subscriptions are your only real lever.
Inside SEO Bot, a single button labelled 'Boost My Domain Rating' routes users directly to Listing Bot. That one interaction converts a user of one tool into a user of two — without any marketing cost.
Directory listings are a powerful but underrated growth channel — but only if your product is genuinely interesting enough to earn the click. AI products have a natural advantage here because they're easy to package in a compelling, clickable way.
The fastest path to Twitter growth isn't volume — it's forming sharp opinions about how the platform works and sharing them immediately. People cluster around those who understand the rules and say so out loud.
Sam had no coding knowledge, so he used ChatGPT voice mode to generate his entire codebase and copy-pasted it into Notepad. A friend later introduced him to Cursor, and he never looked back.
Copy days of Discord chat history, paste it into ChatGPT, and ask it to list recurring pain points. The ones that come up most often are your best product bets.
Sam's top advice: when prompting Cursor, tell it to architect code for 100,000 users from day one. The AI changes its approach, building scalable frameworks instead of brittle one-user code.
With AI coding tools like Cursor, Bhanu replicates an existing free tool for a new keyword in under 5 minutes. What used to be a multi-day build is now a lunch-break task.
Ahrefs, SiteGPT, Cal.com, PostHog, Datafast, Sibyl AI, Bento, Feather, Featurepace, Mintlify, Cloud Code, ChartMogul — Bhanu runs his entire business solo with these 12 tools.
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