GLM-5.2 is fast, cheap, and produces clean code easily controlled by a smarter orchestrator. Sonnet 5 edges it out only in one scenario: very long-running jobs requiring recursive self-calling and review loops. Outside that, GLM-5.2 wins on price-performance — and even Theo would pick it over Sonnet if he still had Fable.
Where this was said
At 1:10:10 · chapter starts 1:02:50
The FUD around Fable being 'nerfed' after its return gets a systematic takedown. Ben notes that public benchmarks comparing Fable before and after the export ban are mostly hitting prompts that now trigger rerouting to Opus — the model itself hasn't changed. Theo then digs into the actual architecture behind rerouting, drawing on an Anthropic paper he'd reviewed that day. [1] — Theo "Anthropic's rerouting system has two stages: a cheap first-stage classifier (~0.05% compute) that watches which expert pathways activate in…" 1:02:50 The system is two-stage: a first-stage classifier monitors which expert pathways activate during inference (essentially watching the direction of the weights) and costs roughly 0.05% of full inference compute. When it flags a request, a far more expensive secondary classifier fires — one that adds 27–80% to the compute cost per request. By building the cheap first-stage gate, Anthropic can catch the vast majority of concerning requests without paying the full secondary cost on every token. The combined system has driven jailbreak pass rates from 95% down to under 0.5%, though Theo notes that since all of this runs on every token of output, there's an interesting lower bound related to how many tokens it takes to encode any given piece of dangerous information. Both hosts agree rerouting is annoying but rare in practical coding use — and recommend just sending a normal follow-up message to exit Opus and return to Fable.
Anthropic's rerouting system has two stages: a cheap first-stage classifier (~0.05% compute) that watches which expert pathways activate in the model, and an expensive second-stage classifier (27–80% extra compute) that only fires when the first flags a request. The result: jailbreak pass rates dropped from 95% to under 0.5%.
Anthropic's secondary safety classifier increases compute per request by 27% to 80%, prompting them to build a cheaper first-stage check costing only ~0.05% of compute.
Anthropic's classifiers reduced jailbreak success from 95% to 4%, and then their latest two-stage system brought it down to under 0.5%.
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.
PropGPT runs on React Native with TypeScript and Python for ML, Neon for the database, RevenueCat and Superwall for monetization. LLM costs are $20/month, data APIs $100/month, and after $10K in monthly marketing spend, margins sit at roughly 50%.
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.
We use essential and analytics cookies to run Vuci. To understand how the site is used: Privacy Policy.
Install Vuci on your phone
Add it to your home screen for a faster, app-like experience.
Install Vuci on your phone
Tap the Share button, then “Add to Home Screen”.
A new version is available
Reload to get the latest Vuci.