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ROB’S NEW MEDIA BRIEF · NOVEMBER 6, 2026
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New from New Media Show
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Build an audience. Earn trust. Grow a media business. Start with the latest conversation on NewMediaShow.com, then explore new tools, practical questions, and the human decisions behind useful media.
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New episode
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EPISODE 694 · WITH YURI KLEBAN
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Can Creators Still Build Trust in the AI Era?
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Rob Greenlee and Yuri Kleban, introduced as a Global Product Lead Manager in Partnerships at Google, explore what makes a creator worth trusting when AI can produce polished voices, videos, and digital personalities. Their conversation puts human judgment, disclosure, and audience relationships at the center.
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Yuri describes a disclosed workplace bot that colleagues said did not sound like him, creating a game with his children, and a possible future for fan-created entertainment with permission. Rob challenges the assumption that faster tools mean less work. These are their experiences, opinions, and predictions—not Google or YouTube policy announcements.
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Three quick clips from this episode
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All three Shorts were published November 5 on the New Media Show channel.
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Catch up on recent episodes
#693 · Avi Gandhi
Creator classification, business readiness, and the difference between recognition and guaranteed funding.
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Top 5: New Media, AI & Podcasting
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One current industry development and four fresh episode insights. News and guest experience are labeled separately; the practical suggestions are editorial applications.
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1. A voice is becoming part of the AI interface
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News · November 5: Meta announced voice and expressive avatars for Muse, starting its rollout in the US. Practical implication: a natural voice can make a tool feel familiar; explain its automated role and check its answers before representing them as your expertise. Source: Meta’s announcement
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2. A familiar style does not establish reliability
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Episode insight · November 6: Yuri’s colleagues recognized that his disclosed bot did not sound like him. He experimented with familiar writing imperfections, without reporting a proven trust improvement. Try this: separate recognizable style from factual checking, and offer a route to the responsible person. Source: episode 694
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3. Fan participation needs boundaries
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Episode proposal · November 6: Rob and Yuri explore fan-created episodes and alternative endings with permission, labeling, and compensation. This is a possible model, not permission already granted. Try this: specify whose voice, likeness, and characters may be used before inviting remixes. Source: episode 694
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4. Creative participation can start with a small prototype
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Episode example · November 6: Yuri describes combining his children’s ideas with AI-assisted development to make a game. Try this: prototype one audience interaction, then ask whether people understand and enjoy it. Completing a prototype does not establish demand or a business result. Source: episode 694
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5. Count the work that faster tools create
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Episode insight · November 6: Rob describes taking on more projects as AI expands what he can produce. Try this: include reviewing, correcting, and maintaining the output in your time comparison. Decide what saved time is for before adding another commitment. Source: episode 694
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Takeaways to put into practice
- Make delegation visible. Label a bot’s role and give people a human contact; do not use a familiar writing style as proof of accuracy. Episode 694
- Write a remix brief. Identify allowed participants, permissions, disclosure, and review before experimenting with synthetic performances. Episode 694
- Set a workload limit. Compare one AI-assisted task with your usual process, including correction time, before expanding it. Episode 694
From the show to your own work
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At TrustFactorLab.com, use the existing practical approach to define one bot or remix experiment: who should benefit, what may be used, who reviews it, and what evidence would change your next decision. This is an editorial exercise, not a reported client result.
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AI assistance was used to organize and draft this issue from the published episode and linked sources. Editorial suggestions are not attributed as Rob’s personal assessment.
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