It's not enough for a domain to be verifiable — it must also be 'grindable', meaning you can run thousands of parallel rollouts from identical starting points in a deterministic simulator.
Snapshot · Dwarkesh Podcast
It's not enough for a domain to be verifiable — it must also be 'grindable', meaning you can run thousands of parallel rollouts from identical starting points in a deterministic simulator.
Where this was said
At 3:20 · chapter starts 2:12
Dwarkesh introduces 'grindability' — the ability to run parallel rollouts in deterministic simulators — as the underrated reason computer use AI lags far behind coding, despite being equally verifiable [1] — Dwarkesh Patel "Verifiability alone doesn't explain which domains see rapid AI progress. The real bottleneck is grindability: can you run thousands of para…" 02:12 .
Verifiability alone doesn't explain which domains see rapid AI progress. The real bottleneck is grindability: can you run thousands of parallel rollouts from identical starting points in a deterministic simulator? Coding can; live websites cannot.
Computer use has made far slower progress than coding and math despite being clearly verifiable, because it lacks grindable, deterministic training environments.
Many skills humans have — winning court cases, building businesses, day trading — require real-world interaction with sparse, delayed feedback. There's no containerized RL environment for 'build a company as well as Sam Walton.' These domains will resist the current training paradigm.
Sam's initial MVP was coded in approximately one week using ChatGPT voice mode and copy-pasting code, with no prior technical experience.
Sam argues Discord is 10x better than email for building relationships with younger users who rarely check their inbox.
Sam's monthly operating costs include Cursor ($200), AI image generation ($100), AI video generation ($200), hosting ($100), email marketing ($80), and AI compute ($300–$500).
Sam recommends copying days of Discord chat history into ChatGPT and prompting it to list recurring pain points as a fast, free market research technique.
Bhanu and his team built approximately 50 free tools to attract search traffic, each linked back to SiteGPT.
With AI coding tools like Cursor, Bhanu can now create a new free marketing tool in less than 5 minutes by referencing existing tools.
Bhanu filters Ahrefs keyword results to show only those with a keyword difficulty below 10, making them realistic ranking targets for any decent website.
Bhanu sets a minimum search volume of 1,000 monthly searches when selecting keywords to target with free tools.
PropGPT averaged 20 downloads per day right after launching on the App Store through influencer marketing.
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