Jodi Krangle
“I agree that humans will always want to work with humans and that we’re gonna always favor it in a lot of ways, especially because of the spontaneity, the creativity, the vibe. Kids love to use the word vibe, but we want the vibe and AI doesn’t have the vibe. Kids are really good at detecting AI, really good at it…. They pick it out way before their parents. So they’re really tuned into it. So I think that’s what’s going to keep it at bay in terms of being a true creative tool for really a long time.” – Sean Savage
This episode is the second half of my Clubhouse discussion with voice actor and Sound Off Media Company owner Matt Cundill, Home Studio Mastery founder Junaid Ahmed, podcast producer and AR Media host Sean Savage, Spoken Life Media founder and Podcast Hall of Fame Inductee Rob Greenlee, and long-time podcaster and audio technology consultant George Whittam, as we discuss the future of AI, what sets machine and human learning apart, and building your own AI clone.
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(0:00:00) - AI and the Future of Technology
The second half of our conversation begins as we talk about the impact of AI on everything from social media to politics, and what that might mean for its future. “I interviewed David Pogue earlier this year,” George says, “and he’s done a tremendous amount of AI research and experimenting, and he’s like, it hasn’t yet swung an election that we know of, so maybe we shouldn’t be too worried. But it’s just something to think about, and I think about it all the time.” The topic turns to AGI, or Artificial General Intelligence. “That day is coming,” Rob tells us. “I don’t know if it’s five years from now, ten years from now, that it surpasses, you know, the ability to think and process information, um, better than a human, but I think it’s coming and once that happens, it’s going to change everything.”
(0:06:44) - Ethical Implications of AI Use
We talk about the ethics of AI usage, and whether there’s any practical difference between how AI models are trained and how children naturally learn. “Even if your older brother is telling you ‘don’t copy me,’” Junaid notes, “guess what? Your younger siblings are still going to copy them. There’s no lawsuit against that. You know, that’s how human beings are literally taught.” George describes his experience with feeding an AI all his writing content to help it learn his writing style, and we discuss the prospect and legality of such AI ‘clones.’ “If you went and scraped pretty much all the work that you’ve done and voiced,” Matt says, “packaged it up to create an AI model, you then can own the licensing of that AI voice and be paid for it. But if somebody else went and did it, the answer would be no. But, as we’ve discussed, some people are out there doing it and saying ‘tough beans.’”
(0:17:45) - AI Usage and Ethical Concerns
The conversation turns from creating new content with AI to revisiting old content through the lens of machine learning. George talks about old recordings and the potential to restore them and add sound elements that have been completely lost over time. “To what point do we clean them up?” he says. “Because now, with AI, we could now do a second restoration that’s way beyond what we could have done traditionally and make it sound like it was recorded in a studio Should we do that or not?” We talk about which AI tools the panelists have found the most use for in their own workflows, and Junaid shares a story about how AI is changing the way younger people see writing. “The other day,” he says, “I was replying to my wife through a text message and my son is like, ‘Why are you typing like AI?’ Like, what do you mean? Because I’m using commas, punctuation? That’s how I type.”
Episode Summary
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