Snapshot · This Week in Tech (Audio)
In Doppel's voice deepfake simulation test, 100% of targeted users believed the AI was a real human after spending an average of 6 minutes conversing with it.
Where this was said
At 2:04:10 · chapter starts 2:03:30
Leo Laporte presses on a question with major implications for the AI industry: do AI companies support Wikimedia financially? Molly White explains the Wikimedia Enterprise model: AI companies pay not for the data itself but for a premium API — a fast, well-formatted access channel that makes ingestion far easier than scraping. She considers this a reasonable arrangement. The controversy, she recalls, arose partly from confusingly written headlines that made it sound like Wikipedia was incorporating AI-generated content into the encyclopedia — which it is not. Leo notes the irony that if Wikipedia's volunteer editor community follows through on a strike, it would not just damage Wikipedia but potentially every major AI model trained on its data. Gary Rivlin closes with an observation that captures Wikipedia's remarkable arc: he worked at the New York Times in the mid-2000s when using Wikipedia as a source was a fireable offense, and now it is arguably the single most important training resource for the AI systems that will shape civilization.
Someone wrote a fake government EULA into a Bitcoin OP_RETURN field granting federal law enforcement unrestricted access to your home and devices, signed 'Donald J. Trump, President of the Internet.' Six blocks later, they tried to revoke it. Neither version will ever disappear — they're both permanently embedded in a blockchain that every Bitcoin node downloads.
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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