At Macstock, Alessandra White explains how blockchain can give creators greater control and permanence over their digital content. She discusses Hive, decentralized publishing, digital sovereignty, and ways creators can preserve posts and videos beyond centralized platforms. The conversation also examines blockchain’s permanence, including the trade-off that published material cannot simply be deleted…ever.  http://traffic.libsyn.com/maclevelten/MV26229.mp3 This MacVoices […]

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Toby Schmitz was the youngest attendee at Macstock X, so his perspective on how the conference and the accompanying Ecamm Creator Camp gave him the confidence and practical guidance to begin his own YouTube channel, podcast, and livestream. He reflects on learning from a wide variety of sessions, the influence of his family of creators, […]

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At NAB in Las Vegas, Alex Mavlios of Epidemic Sound explains how the company licenses music by acquiring full rights from artists, then offering secure usage across podcasts, video, social media, broadcast, and film. He addresses copyright risks, monetized content, artist royalties, pricing from creator plans to enterprise licenses, and why perpetual licensing helps creators avoid future rights disputes. 

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From NAB 2026 in Las Vegas, Skylar Holtzman of Presaige introduces their AI-powered content improvement tool that predicts how engaging images and short videos will be before posting. The discussion covers scoring, recommendations, thumbnail selection, carousel ordering, video limits, privacy, proprietary AI, pricing tiers, creator use cases, and API integration. 

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The MacVoices Live! panel examine Apple’s quarterly earnings, the continuing importance of Services revenue, and what John Ternus’ presence on Apple’s earnings call may indicate about Apple’s future leadership transition. Chuck Joiner, David Ginsburg, Eric Bolden, Brian Flanigan-Arthurs, Marty Jencius, and Jeff Gamet discuss the Apple Vision Pro and the newest wave of “Vision Pro is doomed” commentary. They argue that Vision Pro should be viewed as an early-stage platform product that still needs more time, more content, more developer support, and a larger installed base before its long-term value can be fairly judged. 

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AI detectors gave wildly different verdicts on the same human-written article, and even flagged writing from 2014.

The post The AI Detection False Economy: Fueling FOW (Fear of Writing) appeared first on Search Engine Journal.