Podbit · God Mode Podcast
When AI labs are supply-constrained, they quietly reduce model effort levels in the backend. Users experience a noticeably worse product with no announcement. Ben says this has been happening since at least Opus 4.6 in early 2026.
Where this was said
At 31:36 · chapter starts 28:03
With ChatGPT prompting the structure, Rik runs through each lesson as a headline and Ben riffs on how it aged. The series opens with the moment Dario Amodei and Sam Altman refused to hold hands at a group photo at a conference — a petty but revealing signal of how far relations between the two labs had deteriorated. Lesson two spotlights OpenAI's decision to focus on coding agents above all else, which Ben calls pivotal: the coding-agent flywheel (build better agents → agents improve themselves → everything else improves) turned out to be the year's biggest strategic insight. Lesson three surfaces the Mythos speculation, with Ben now claiming Anthropic trained Mythos in February and almost certainly has a Mythos 2 scored in the 80s or 90s on intelligence benchmarks. Lesson four addresses the Opus nerf — Ben was among the first to notice labs quietly throttling model effort during supply crunches, a practice he traces to around February. The GPT-5.5 86% hallucination benchmark from episode 10 gets a failing grade: fifteen weeks on, OpenAI still hasn't meaningfully moved the needle. The section closes with the Codex vs Claude Code call — once a clear Claude Code victory, now a dead heat — as OpenAI's aggressive developer migration campaign on Twitter bore fruit.
Rik used Claude to analyse all 25 episodes and distil them into three recurring wars: OpenAI vs Anthropic, open vs closed source, and the Elon Corner. The 25-lesson retrospective grades every major call against what actually happened.
Ben speculated that Anthropic has already trained a Mythos 2 model scoring in the 80s or even 90s on intelligence benchmarks, but has not released it.
According to a benchmark cited in episode 10, GPT-5.5 had an 86% hallucination rate compared to Grok's 17% at the time.
Opus 5 benchmarks well but consistently underdelivers; Fable 5 just gets it done. Ben has learned to use Fable when he has credits and accepts a worse product the rest of the time — a revealing admission about the gap between benchmark and lived experience.
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.
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.
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