Anthropic's Fable model is estimated to have approximately 10 trillion parameters, likely costing hundreds of billions of dollars to create.
Snapshot · This Week in Tech (Audio)
Anthropic's Fable model is estimated to have approximately 10 trillion parameters, likely costing hundreds of billions of dollars to create.
Where this was said
At 42:05 · chapter starts 33:35
This is the episode's most philosophically dense segment, with all four participants grappling with AI regulation from different angles. Leo Laporte presents Dean Ball's economic argument: frontier models must recoup the bulk of their enormous training costs in the first months post-release, before competition erodes margins. A government review process that takes even a few weeks could kill a model commercially. More provocatively, Leo argues the Fable block is the functional equivalent of the U.S. banning its own cars to benefit Chinese automakers — the very opposite of the protectionist logic applied to every other industry. Dan Patterson probes whether the whole debate is actually about consumer-facing AI rather than the industrial AI used at companies like Blackbird. Jennifer Pattison Tuohy makes the structural point that government is always two years behind the technology, making effective regulation nearly impossible, and advocates for a global solution rather than unilateral national action. Daniel Rubino suggests the better analogy may be guns — readily available technology that other countries have chosen to regulate more strictly. The panel ultimately agrees that no good mechanism currently exists to evaluate AI safety in a way that is technically credible, politically neutral, and fast enough to matter.
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.
Eyal and Yali shut down all marketing and spent 4 months completely rebuilding PropGPT from scratch.
PropGPT has accumulated over 40,000 total downloads since launch.
PropGPT's large language model (AI) operating costs are just $20 per month, and the cost is continually falling.
Ad-based monetization works well for game apps where users spend extended time in-session, as seen with Grid and Wordle.
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