We unfolded the iPhone Duo

Key takeaways

Apple has introduced a highly polished foldable iPhone Duo that offers a seamless hardware and software experience, though practical usage details are still evolving.
The new Apple Watch features significant health sensors and advanced AI capabilities while maintaining a focus on user privacy, though some features, like constant audio recording, raise privacy questions.
Apple’s M-series chips, while not surpassing Nvidia GPUs in raw compute, are highly effective for local AI inference due to their memory capacity and efficiency, especially for home use.
The tech landscape continues to be unpredictable and playful, with stories ranging from AI breakthroughs to quirky gadget re-releases, showcasing the diverse nature of industry innovation.

Summary

Apple's New Folding Phone and Hardware Impressions

The podcast covers Apple's announcement of its innovative foldable iPhone Duo, highlighting its design and the intro of a new form factor for Apple. The hosts share hands-on impressions, noting the device's polished hardware, minimal crease visibility, and the comparable experience to Samsung's foldables. The discussion emphasizes how the foldable combines high-quality hardware with Apple’s software experience, aiming for a seamless user experience that integrates the device’s inner and outer screens.

Apple's Focus on AI and Privacy Features in Apple Watch

The hosts examine Apple's recent enhancements to the Apple Watch, including new health sensors, a redesigned sensor array, and advanced AI-driven features such as 'Live Rewind' and 'Siri Recap.' These features aim to provide real-time transcripts and summaries of conversations while maintaining a strong emphasis on privacy, with Apple going to lengths to explain how user data is protected through secure enclaves. The discussion weighs the usefulness versus the potential invasiveness of always-on audio recording features.

AI and Hardware Claims of Apple Macs

AI researcher CJ Trowbridge discusses claims made by Apple regarding their latest Macs being optimal for AI inference tasks. He explains that while Apple’s M-series chips have limitations in raw performance compared to Nvidia GPUs, they excel in memory capacity and efficiency for specific local AI applications, especially for running large models at home. The conversation explores the realism of claims regarding AI hardware capabilities, the economics of renting versus owning AI hardware, and the sustainability of AI infrastructure, with a lighthearted prediction about potentially building a home-based AI rig.

The Rapid-Fire Thunder Round Topics

The hosts quickly cover a diverse array of topics, including a controversy involving OpenAI solving a Millennium Prize math problem, pricing changes to the Trump phone, Sony's revival of the popular WH-1000XM4 headphones, an innovative electronic Ocarina of Time device for Nintendo, and other tech news. These segments highlight the quirky, unexpected, and evolving nature of current tech trends and stories, wrapping up the episode with fun, rapid updates.

Show notes

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.