Meta's Muse image model lets anyone remix other users' Instagram photos by default; users must manually opt out via Instagram's sharing settings.
Snapshot · Waveform: The MKBHD Podcast
Meta's Muse image model lets anyone remix other users' Instagram photos by default; users must manually opt out via Instagram's sharing settings.
Where this was said
At 51:31 · chapter starts 50:40
Meta's superintelligence lab has produced its first public model: Muse AI, an image generator baked directly into Instagram. The feature that immediately alarmed the crew: anyone can tag an Instagram profile or post in Meta AI and generate images using that person's likeness or photos — and it's opt-out by default. David provides step-by-step instructions for turning it off (Instagram Settings > Sharing and Reuse > Allow people to use your content on Instagram with AI features). The crew also critiques Meta's claimed safety measure — an invisible watermark that can be detected by uploading the image to a separate web tool — as essentially theatrical. Marques lands the sharpest observation: the places where you most need to know something is AI-generated (fast-moving social media feeds) are precisely where no one checks. The invisible watermark helps only after harm is already done. David ties this back to a broader frustration: a handful of corporations have become so deeply embedded in daily life that their repeated privacy violations barely register as news anymore.
Meta's new Muse image generation model is deeply embedded in Instagram and allows anyone to remix other users' photos and likenesses by default. It's opt-out only, the AI watermark is invisible, and the detection tool is a separate web upload — meaning most people will never know their likeness is being used.
Twitter launched an in-app vertical video editor with text overlays, auto-captions, and green screen effects — but only on iOS. The real problem is that stolen TikTok content dominates Twitter video, and giving people a native editor doesn't solve that. Marques argues penalizing stolen content by barring it from monetization is the only lever that would actually work.
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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