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We unfolded the iPhone Duo

The Vergecast

Hosted by David Pierce and Nilay Patel

1h 17m
Transcript

Original podcast

Summary

Written by a model from the transcript; not yet reviewed.

This episode of The Vergecast covers Apple's latest hardware and software announcements, featuring discussions on the iPhone Duo, Apple Watch updates, and local AI capabilities. The hosts analyze John Turnis's debut as Apple CEO, examining how the company structured its keynote around software experiences rather than hardware specs. Later segments dive into the controversies surrounding local AI hardware requirements, cloud versus local inference economics, and the return of the show's rapid-fire trivia segment, the Thunder Round.

  • The iPhone Duo starts at $1,999 for the 256GB model and goes up to $3,199 for the 2TB version. 14:19
  • The Apple Watch sensor array has been upgraded with 32 electrode petals and samples heart rate once every five seconds. 31:03
  • Old enterprise inference cards like the P40 can provide competitive performance for a fraction of the cost of cloud rentals. 56:46
  • The Trump phone price was raised from $499 to $750 due to RAM shortages. 1:11:14

Chapters

  1. 0:00
    Intro and Sponsorships

    The episode opens with ad spots for Amex Corporate, Midi, and Granola before the hosts introduce the show and the Apple event.

  2. 2:05
    iPhone Duo Overview

    Allison Johnson shares her first‑hand impressions of the iPhone Duo, covering its design, display, and camera setup.

  3. 3:24
    Foldable Experience and Software

    The conversation turns to the Duo’s software experience, multitasking limits, and how Apple has optimized iOS for the new form factor.

  4. 29:02
    Apple Watch Series 12 & Ultra 4 Features

    V Song explains the new hardware sensor array and AI‑driven audio intelligence features on the latest Apple Watches.

  5. 37:44
    Audio Intelligence Deep Dive

    The hosts dissect Live Rewind and Siri Recap, exploring privacy safeguards, use cases, and potential user concerns.

  6. 50:54
    Apple’s AI‑Powered Macs

    The episode concludes with a discussion on Apple’s new Macs marketed as AI powerhouses, featuring an AI researcher who evaluates the claims.

  7. 52:36
    Apple’s AI Hardware Positioning

    Discussion of Apple’s Macs as top AI inference machines and their performance relative to Nvidia GPUs.

  8. 53:31
    Mac Mini vs. Mac Studio Performance

    Comparison of the M4 and M6 chips in the Mac Mini and Mac Studio, highlighting incremental gains and marketing claims.

  9. 54:39
    Hardware Architecture and Inference Limits

    Exploration of integer‑8 math, memory bandwidth, and how Apple’s architecture affects inference speed and model size.

  10. 1:00:00
    Home vs. Cloud Inference Economics

    Debate over CapEx vs. OpEx for running AI locally versus renting cloud services, and the appeal of DIY rigs.

  11. 1:02:40
    OpenRouter and Open‑Source Inference

    Analysis of the shift toward open‑source models on OpenRouter and the impact on US labs and local inference.

  12. 1:07:12
    Thunder Round Return and OpenAI Drama

    Reintroduction of the Thunder Round segment and discussion of OpenAI’s use of AI agents to solve Millennium Prize problems.

Highlights

  • 1:30

    John Turnis Leads First Eventinsight

    The hosts discuss John Turnis's first public appearance as Apple CEO, noting his brief opening remarks and the new visual style for retired CEO Tim Cook.

  • 14:15

    iPhone Duo Pricing and Specsdata

    The hosts break down the pricing tiers for the new iPhone Duo foldable, ranging from $1,999 to $3,199.

  • 29:10

    Apple Watch Sensor Upgradesinsight

    The guest explains the physical changes to the Apple Watch sensor array, including the expanded electrode design and increased optical sampling frequency.

  • 37:14

    Audio Intelligence and Siri Recapdebate

    The hosts analyze Apple's new continuous audio processing features on the Apple Watch, highlighting privacy concerns and the secure exclave implementation.

  • 52:40

    Running Local AI on Old Macsstrategy

    An AI researcher explains why older Apple silicon and legacy enterprise cards make local AI inference viable for individual consumers.

  • 1:08:37

    OpenAI Math Competition Dramastory

    The hosts report on OpenAI deploying AI agents to solve Millennium Prize math problems, inadvertently scooping a human mathematician.

  • 1:11:05

    Trump Phone Price Hikedata

    The hosts discuss the Trump phone's price increase to $750 caused by RAM shortages, despite running two-year-old software.

Quotes

  • “Real innovation is powered by real people.”
    Unnamed speaker · 1:06
  • “Apple can't access it, you can't access it. There are no audio recordings saved.”
    Unnamed speaker · 38:35
  • “They started with the iPhone Pro, right? And they opened all software, right? And they did this with the watches, too.”
    Unnamed speaker · 7:17
  • “Apple is now finally starting to market these Macs as the best Macs for AI that they have made.”
    David Pierce · 53:25
  • “If you're trying to run a single model that's like less than 24 gigs, then something like an RTX 6000 Pro is going to be a lot faster, like a lot faster.”
    Unnamed speaker · 54:46
  • “People want to have a garden. People want to do inference at home. Like, it's the same kind of mindset.”
    Unnamed speaker · 1:03:29
  • “I think the question, when you look at, like, for example, there was this recent report from Dirac about OpenRouter.”
    Unnamed speaker · 1:04:11
  • Amex Corporate 0:00–0:23
  • joinmidi.com 0:29–0:58
  • Granola 25:52–25:59
  • Michelob Ultra 27:36–27:59
  • Michelob Ultra 1:05:41–1:05:58
  • Hilton 1:06:41–1:06:57
  • The Verge 1:18:14–1:18:30
  • Midi 1:18:40–1:18:56
  • Home Depot 1:19:02–1:19:10
  • GEICO 1:19:46–1:20:09

About this episode

Apple did the one more thing: This week it announced its much-anticipated folding phone. It also announced some surprising and controversial new AI features for Apple Watch, including "Live Rewind," which gives the user a text transcript of the last 15 seconds of real life. On today's Vergecast, Allison Johnson and Vee Song report back from California after having more hands-on time with Apple's new devices. Plus, Nilay Patel and David Imel take another swing at discussing Mac Minis and local LLMs with AI researcher CJ Trowbridge. Finally, Allison and Jake tackle some non-Apple stories in the truly rapid-fire thunder round. Further reading: iPhone 18 Pro and Pro Max: Our first hands-on impressions The variable aperture isn’t the cool part of the iPhone 18 Pro’s camera Hands-on with the foldable iPhone Duo Hands-on with the new Apple Watch Series 12 and Apple Watch Ultra 4 Apple Watch Series 12 has an always-on Siri that makes AI recaps of your day Read the Apple document explaining how new listening features still protect your privacy Mathematicians want proof OpenAI didn’t use their work OpenAI’s sly mathematical breakthrough sends a chill through academia Drama swirls around OpenAI’s legendary mathematical milestone The Trump phone just got a $250 price hike Six years later, Sony revisits its legendary XM4 headphones Hori’s electronic Ocarina of Time requires no musical talent. Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to [email protected] or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Transcript

0:00
1:17:42

13,720 words · 15 speakers

Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.

Topics

  • Apple
  • Nvidia
  • Ocarina of Time
  • Millennium Prize
  • RTX 6000 Pro
  • OpenAI
  • OpenRouter
  • Sony
  • M4
  • Mac Mini

Page updated · transcript and summary are machine-generated