MacVoices Episodes
MacVoices #24231: Live! – Discussing Apple’s Glowtime Event (3)

MacVoices #24231: Live! – Discussing Apple’s Glowtime Event (3)

Chuck Joiner, David Ginsburg, Brian Flanigan-Arthurs, Eric Bolden, Marty Jencius, Jeff Gamet, Web Bixby, and Patrice Brend’amour turn their attention to the iPhone 16 portion of Apple’s Glowtime event, who will be upgrading and who will be waiting. New camera features, storage options and of course, iPhone 16 vs. iPhone 16 Pro Mac all affected the decision-making process. The panel then transitioned into comments on the event itself, its intended audience, and how Apple Intelligence will be rolled out. 

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MacVoices #24227: More With Joe Kissell On Taking Control Of Sequoia (2)

MacVoices #24227: More With Joe Kissell On Taking Control Of Sequoia (2)

The second part of our conversation with Joe Kissell, who’s newest book is Take Control of Sequoia, shifts to his assessments of Apple Intelligence in the upcoming macOS, as well as some thoughts on the general state of large language models and their uses. Joe draws on some personal examples as he analyzes what Apple Intelligence may mean for all of us. 

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MacVoices #24219: Live! – Google More Privacy Focused Than Apple?  A Backlash Against AI?

MacVoices #24219: Live! – Google More Privacy Focused Than Apple? A Backlash Against AI?

Chuck Joiner, David Ginsburg, Brian Flanigan-Arthurs, Marty Jencius, Jim Rea, Mark Fuccio, and Web Bixby look at a laughable claim by Google comparing their user privacy focus with Apple’s. There seems to be a bit of a backlash against AI, based on Procreate’s rejection of AI in favor of traditional art and Halide’s new app on raw photography without the benefit of on-iPhone processing. Finally, the panel considers layoffs at GM and Sonos and the implications on their struggles with software development and user experience. 

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MacVoices #24205: Meta And The EU; Data Scraping To Train AI; Social Engineering

MacVoices #24205: Meta And The EU; Data Scraping To Train AI; Social Engineering

Meta’s stance on AI access in the EU seems strangely familiar. Chuck Joiner, David Ginsburg, Brian Flanigan-Arthurs, Marty Jencius, Eric Bolden, Jim Rea, and Web Bixby compare it to Apple’s “wait-and-see” strategy with some of its challenges across the pond. We also look at the practice of training AI using scraped data from an ethical standpoint, consider how educators are using the whole AI situation, and highlight a new Apple resources for social engineering education. 

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