The rebuilt Siri runs on a custom 1.2 trillion parameter Gemini model under a deal worth approximately $1 billion a year to Google.
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The rebuilt Siri runs on a custom 1.2 trillion parameter Gemini model under a deal worth approximately $1 billion a year to Google.
Where this was said
At 56:58 · chapter starts 56:00
As Apple's WWDC approaches — the last under Tim Cook before he hands over to John Ternus — the company is announcing a fundamental Siri overhaul. Kara opens by confessing that Siri failed to call her contact Amanda on a basic walk down a Manhattan street this morning. Scott fills in the technical details: the rebuilt Siri runs on a custom 1.2 trillion parameter Gemini model, [1] — Scott Galloway "Siri Gemini model parameters: The rebuilt Siri runs on a custom 1.2 trillion parameter Gemini model under a deal worth approximately $1 bil…" 56:58 the deal is worth approximately $1 billion a year to Google, and it uses a three-tier routing system — on-device for simple queries, Apple's private cloud for moderate ones, and Google's NVIDIA B200 GPUs for heavy reasoning. New features include multi-step commands, persistent iCloud-synced conversation history, and on-screen awareness. It launches as a standalone app for the first time, after two previous delays. Both hosts are withering: Apple surrendered search to Google and is now surrendering AI in the same direction. Scott notes the irony that Siri is accidentally activated on iPhones ten times a day, making it statistically the most accessible AI in history, and yet Apple has spectacularly failed to leverage it. He wonders aloud whether 'Siri' as a brand name is now so associated with failure that it needs to be retired entirely. Kara trusts Apple on privacy but calls the product incompetent.
Apple's rebuilt Siri runs on a 1.2 trillion parameter Google Gemini model via a deal worth about $1 billion a year to Google. Scott Galloway and Kara Swisher agree it's overdue and possibly too late — and wonder if Siri needs a full rebrand because the name has become synonymous with failure.
Quickly forming opinions on how the Twitter algorithm and platform worked allowed the speaker to grow rapidly on the platform.
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.
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