Bryan Chaffin and Jeff Gamet discuss some of the products they hope Apple announces this fall. They also take a look at some of the next-gen cryptocurrencies trying to solve real-world problems, like Fetch.ai and its blockchain-based software agents. You can practically hear Bryan drooling!

Fall Apple Product Hopes, Crypto Solving Real-World Problems - ACM 554

The podcast where Bryan and Jeff talk about whatever they want.

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Bryan and Jeff catch up on reader email, and also take a look at two Apple TV+ shows: Sugar and Dark Matter. SPONSOR: LinkedIn Jobs – Post your job for free at LinkedIn.com/ACM. Sources referenced in this episode: Jeff is speaking at Macstock 8 July 12, 13, and 14 — Use the discount code JGAMET to get $30 […]

Listener Email, Sugar, and Dark Matter

Bryan and Jeff talk about the backlash to Apple’s M4 iPad Pro commercial, and also look at the just announced M2 iPad Air, M4 iPad Pro, and Apple Pencil Pro from the company’s “Let Loose” media event. Sources referenced in this episode: Jeff is speaking at Macstock 8 July 12, 13, and 14 — Use […]

Apple’s Commercial Kerfuffle and a Deep Dive on New iPad Pro

Bryan and Jeff look at the hype surrounding Apple’s unannounced but rumored AI features, and Jeff has some questions about choosing a fountain pen to carry when he’s away from his desk. Sources referenced in this episode: Jeff is speaking at Macstock 8 July 12, 13, and 14 Review the show on Apple Podcasts Where […]

Apple AI Mania and Jeff’s Walking Around Pen

Bryan and Jeff discuss what Apple may be planning to improve Siri, along with how the company could give indie authors more options for selling their books. Bryan also gives us some real time coverage of a big Bitcoin block halving event. SPONSOR: LinkedIn Jobs – Post your job for free at LinkedIn.com/ACM. Sources referenced in this episode: […]

Siri/HomePod Future, Apple Books and Indie Authors

Apple licensed content from Shutterstock presumably for its own AI efforts, which gets Bryan and Jeff looking at the ethics behind the methods many AI companies use to source the data they rely on to train their own models. Surprisingly, they didn’t have to edit for inappropriate language. Sources referenced in this episode: Review the […]

Fall Apple Product Hopes, Crypto Solving Real-World Problems - ACM 554

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