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Can AI Avatars Build Trust in the Newsroom?
This episode is sponsored by Adobe Stock.
This week on The Media Copilot, I’m thrilled to welcome Adam Mosam to the show. Adam is the founder of Channel 1, the groundbreaking news platform where AI avatars serve as anchors, delivering real news that’s entirely scripted, produced, and distributed by AI. Since Channel 1’s teaser video went mega-viral in late 2023, the platform has become a hot topic in the media world. But it’s not here to compete with CNN—it’s here to empower media companies with cutting-edge AI-powered production tools.
Our conversation dives into the fascinating possibilities of AI in video news production, including its potential to drastically cut costs. Producing premium video content is notoriously expensive, but Channel 1 aims to put high-quality video production within reach for media companies of all sizes. Of course, this innovation comes with its challenges. Can AI avatars gain the same level of trust as human reporters? And what happens to the jobs and creativity of human content creators in the long run?
Adam and I explore these questions and more, touching on the ethics, opportunities, and challenges of AI avatars in journalism. Don’t miss the end of the episode, where we discuss the future of news consumption—imagine a world where personal newsagents deliver customized stories directly to you, wherever you are.
Tune in to discover how AI might reshape the way we consume and create news.
Sponsor:
This episode is brought to you by Adobe Stock—now powered by Adobe Firefly. Customize stock images like never before with AI tools that let you swap backgrounds, expand formats, and generate variations instantly. It's pro-level creativity, supercharged. Learn more at adobe.com/stock.
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The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
The Media Copilot is partnering with The Upgrade for a comprehensive six-week AI course tailored for PR and media professionals. Explore the course here.
As you may know, in addition to hosting a podcast, I also teach media professionals — newsrooms, PR firms, and more — on how to apply AI to their work. I've taken all kinds of AI courses and constantly try out new tools, and I've distilled all that and put the best parts into an AI class for journalists and communications pros that goes from basic prompting to advanced tools in a single afternoon.
However, the AI world is moving faster than a comet. Models are evolving, new platforms are emerging, and tools are getting more sophisticated. There are now all kinds of AI-powered apps dedicated to narrow aspects of media work — from social media generation to news analysis to automated email campaigns. And the well-known chatbots have powerful new features with potential that's barely been scratched.
It's clear that AI classes in general need an upgrade, and that makes my announcement today doubly apt: I'm partnering with Peter Bittner, CEO of The Upgrade Academy, and Kris Krüg, Founder of Techartist, to offer an extensive six-week course entitled AI for PR & Media Professionals, happening in early 2025. Registrations are open now, and if you grab a spot before December 15 you can use the discount code EARLYBIRD25 at checkout to get 25% off the price.
Course title: AI for PR & Media Professionals
Begins: Feb. 4, 2025
Format: six 1-hour classes, each focusing on different aspects of media, PR, and communications work
Instructors: Pete Pachal, Peter Bittner, Kris Krüg
Who is this for: PR and media professionals
How to buy: Checkout link (discount code: EARLYBIRD25; group rates available)
For the full breakdown of what's in the course, check out the class page, but here's a summary:
Course Highlights:
This course goes beyond foundational concepts and goes deep into using AI for specific use cases and workflows, such as media monitoring, campaign analysis, and crisis management. Each week includes interactive workshops where participants can apply what they've learned in real-world scenarios, helping build a practical understanding of the tools and techniques. Peter Bittner and I will guide participants every step of the way, offering insights from our extensive experience in media and AI.
What You Will Learn:
Participants will learn AI-powered content creation, including generating and refining social media posts, press releases, and other media content. They will also discover automated media monitoring techniques to track news and monitor public sentiment effectively. Additionally, attendees will explore how to use AI for automating and personalizing communication strategies, making outreach campaigns more impactful.
By the end of the six weeks, you will not only understand how AI can fit into your daily work but also feel confident using a variety of tools to boost productivity and creativity.
Join us, and let's explore how AI can empower your work!
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
Business Insider's CEO on the Legal Challenges Reshaping the Media Industry
This week, I’m thrilled to welcome Jakob Wais to the podcast. Jakob is the CEO and Editor-in-Chief of Business Insider Germany, a key player within Axel Springer’s media empire. Axel Springer was one of the first major media companies to embrace generative AI, striking a groundbreaking deal with OpenAI in late 2023, which integrated their publications, including Jakob’s, with ChatGPT.
I was eager to dive into Jakob’s insights on how a major media company leverages AI in its newsroom. We explored the flexibility he has in applying AI to editorial workflows, the ways his team of journalists perceive and adapt to these tools, and—most critically—how Business Insider Germany’s audience reacts to the integration of AI into the content they consume.
Our conversation also touched on the legal battles shaping the media landscape, including the recent lawsuit between News Corp and Perplexity. Jakob shared a thought-provoking perspective on what AI engines truly do with content, offering a fresh way to think about how machines "read" compared to humans. And don’t miss the surprising connection Jakob draws between men’s fashion in Tokyo and the future of quality journalism.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
This week I'm thrilled to welcome Liam Andrew to the podcast. Liam's been working with machine learning and AI for a lot longer than most of us. He worked on the product team at the Texas Tribune for more than eight years before making the jump earlier this year to the American Journalism Project, where he serves as Technology Lead for its Product & AI Studio, which obviously has a huge focus on how newsrooms can leverage AI. Liam constantly talks to local newsrooms all over the country, so he has a front-row seat into what their challenges are, how AI can help, and how it's actually being used day to day.
I loved getting into the weeds with Liam. He and I talked about AI newsroom issues big and small — like whether or not ChatGPT is any good at headlines, but also the ethics of using generative images. We tackle some heavy issues in the state of media today, and I hope you'll listen to the end, where he gives some excellent advice for newsrooms who may be closer to the beginning of their AI journey than the end.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
If you follow AI at all, you’ve probably heard of Google NotebookLM. The Gemini-powered feature got a huge popularity boost recently when it introduced the ability to create a totally synthetic podcast around any material you gave it. The idea of a “podcast this” button on any article, video, or set of PowerPoints is a powerful one, and it underscores the transformative power of AI and large language models (LLMs).
That transformative power has actually been around much longer than NotebookLM’s audio overviews. On this week’s Media Copilot podcast, I talk to Daniel Rascon, co-founder of AnyTopic. His AI startup is entirely about creating audio experiences about, well, any topic. Essentially you tell the app what you're interested in — anything from medieval architecture or how to get better sleep — and it'll go out and find the most relevant content about that topic, creating a mini audiobook for you to listen to whenever you want.
These aren’t word-for-word readings of text articles like The Washington Post and The New York Times are doing. I'd actually call the broader idea a “content polymorph” — essentially an AI agent designed to search for, interpret, and reformat information around whatever the user specifies. Right now it's centered around audio experiences, but there's no reason the same idea couldn't be applied to all kinds of formats, potentially giving everyone their own personal media reformatter in the future.
Daniel and I explored what that future might look like, and how AnyTopic might be the first step in getting there. It was an illuminating conversation, and be sure to listen to the end where we don't shy away from why such a flexible, customizable future might be scary to a lot of people.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
When should we use AI and when shouldn't we?
That's a question that comes up often when I consult with media companies and PR firms on integrating AI into their editorial teams. You have to balance a number of factors — chief among them goals, ethics, and cost. You also need to consider the long-term picture and what it looks like when AI begins to take on tasks that were previously human-driven.
It's a tough thing to get right for an individual or a company, let alone all of society. What would help is a framework for how people can approach AI, a guide to where it can make the most difference, with careful weighing of the benefits and the risks of using such a powerful technology.
Journalist Jeremy Kahn has just what you're looking for. His book, Mastering AI, explores many facets of how AI is changing our world, from healthcare to the military to, yes, the media. Jeremy has covered AI extensively, most recently serving as the AI Editor at Fortune. He's also the latest guest on The Media Copilot podcast.
Jeremy and I had a wide-ranging conversation about AI, exploring some big-picture factors that I don't often get to sink my teeth into. We talked about copyright, bias, journalist copilots, and what the future of media looks like in a world where chatbots summarize everything. He also has a really good sense of what disciplined use of AI looks like, something I think journalists can really benefit from.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
This week on The Media Copilot podcast, I'm thrilled to talk to Joanna Stern, Senior Personal Technology Columnist at the Wall Street Journal. Joanna and I used to see each other quite often at various tech events when I was the Tech Editor at Mashable. She's known for her clever tech videos and deep reporting on how the titans of Silicon Valley are altering our lives in big and small ways.
Lately, though, she's making a name for herself by being an AI innovator. Normally this time of year she'd have a big review of the latest iPhones, but instead she gave the world Joannabot: an AI-powered chatbot created the Journal tech team and Joanna herself, designed to give readers all the advice they could ever want about buying the iPhone 16 and iPhone 16 Pro — in Joanna’s unique voice (or a close approximation).
As soon as I saw Joannabot, I knew I wanted to talk to Joanna about it. Not just because it's a wildly interesting AI experiment from a major publisher, but also because I've been dying to get Joanna's thoughts on the big picture of AI: how far it's come, what is on the horizon, and how it's changed the way she does her job.
Mission: accomplished. It was a really fun conversation, and I hope you listen till the end, where I squeeze out of her what she really thinks of Apple Intelligence Apple's upcoming feature upgrade that will add AI to the iPhone experience — and how that will change what we think of as "consumer AI."
NOTE: This podcast was recorded prior to Meta Connect, where Meta unveiled its Orion AI-powered smart glasses.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
Remember that AI song based on the voices of Drake and the Weeknd that made the rounds last fall? It was a polarizing moment for AI — underscoring its power but also its peril, since neither artist had a say in the creation of that song.
Enter Hooky. The fresh AI startup is trying to solve this problem, one that isn’t unique to music. It’s actually one of the biggest issues in generative AI, undergirding the lawsuits against OpenAI, Stable Diffusion and all the rest: How do you ensure content creators can both control and profit from the use of their work when it's gobbled up by AI?
In Hooky’s case, it enables artists to license their voice to service, allowing the app’s customers to create original songs with that voice, and even distribute them to streaming platforms like Spotify. The artist approves every single AI song, and how much revenue they get entirely up to them.
The idea makes a ton of sense, but Hooky is also performing for a tough crowd: artists have a lot of AI skepticism, the regulatory landscape is really unclear, and there are plenty of competing AI apps that don't have any licensing or safeguards.
In the latest episode of The Media Copilot podcast, I talk to Jordan Young, CEO of Hooky. Jordan is a longtime music artist and producer who's worked with the likes of Jay-Z, the Chainsmokers, and Coldplay. We explore how the music industry might be best equipped to deal with the copyright-and-compensation problem, and we also tackle a key question: whether or not anyone really wants to listen to AI music in the first place.
And, yes, Taylor Swift does come up.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
I always feel good when I see fellow journalists going out on their own to build something new, and that's exactly what Nick Toso and Catalina Villegas are doing with Rolli. Toso is the former Washington Bureau Chief at CNN, and Villegas has worked as a producer and anchor for TV news. And with Rolli, they're creating a set of tools for journalists to help them work faster while producing better work — exactly what every newsroom in asking them to do. "Do more with less" is a tired phrase, but that's because it's everywhere now. It's the rule, not the exception.
How to do more with less doesn't get talked about nearly as much, but Rolli has a lot to say about that. You need an expert for your story — fast? Rolli can help. You need to know if a viral story is true or not, and where it originated? Rolli can help. And you don't actually have any money to pay for this service? Rolli can still help.
I went deep on Rolli with Nick and Catalina in this discussion, but beyond the features of service, I also put the focus on the forces in media that are putting services like Rolli in demand, including — what else? — AI.
It was a really fun conversation, and I hope you listen to the whole thing, since I don't shy away from asking them some tough questions about trust and bias that curated services are often accused of. Hey, I'm a journalist, too.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
When it comes to the right and wrong of using AI in creative work, it's safe to say we're still figuring it out. That goes double for music, where AI has cultivated more than its share of lawsuits and suspicion from artists.
From the audience perspective, AI is arguably changing things even more. Recommendation algorithms have the power to influence our tastes, but they also can put us in bubbles. At the same time, AI-cloned voices paired with auto-generated lyrics could end up changing our expectations of what's good entirely — we may not care whether it's Drake or fake.
For some thoughtful opinions on all this, I looked to authorities in both entertainment and AI. At the recent Ai4 conference in Las Vegas, I sat down with none other than comedian and actor Cedric the Entertainer as well as Alex Elias, CEO of AI recommendation engine Qloo. Our conversation got into the potential benefits and drawbacks of AI in music and show business.
Despite concerns about what AI could mean for artists' legacies (Tupac does come up), both Cedric and Alex expressed cautious optimism about the future of AI in music. Ultimately I came away convinced that it comes down to finding the right balance — harnessing AI's potential while preserving the human element.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
For companies building new things and trying to tell their story, there's a lot of talk about "going direct" lately. This is shorthand for a new(-ish) type of PR, where the founder and sometimes other key people simply use social platforms, newsletters and all the other tools of media themselves — eschewing the traditional route of telling their stories through journalists.
The idea has gained traction in the last few years (I moderated a whole discussion about it at Consensus 2024), and whether or not you think it's a smart PR strategy, there's a lesson here for the media itself: bypassing intermediaries is an essential part of audience "ownership" — one of the biggest concerns in a world where AI chatbots now answer user questions without connecting those users to the source that originated the information.
To better understand how publishers and the media can re-assert ownership of their own audiences, I talked to Mike Donoghue for The Media Copilot podcast. Mike is the CEO of Subtext, which transforms text messaging into a broadcast channel — reaching audiences through one of the core apps of the modern smartphone. Publishers use Subtext to create conversations with readers, celebrities use it to connect with fans, and all those interactions can be two-way. All they need to do is hit reply.
In a lot of ways, texting seems like the new email, and potentially a way for publishers to create a new surface to reach audiences that they control, shielded from Google, AI, and everything else. I talked to Mike about how Subtext came to be, why texting and SMS might be the last frontier for owning the audience relationship, and the role Subtext can play in a media ecosystem where AI is rapidly becoming the new platform to worry about — and perhaps to master.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
Perplexity is here to answer your questions.
Answering questions requires good information, though, and providing answers is easier if the people with the information actually want to give it to you. That’s a super-simple way of describing why Perplexity — the “answer engine” AI startup that pairs generative summaries with search — this week launched the Perplexity Publishers’ Program. By sharing advertising revenue with partners, Perplexity hopes to create better incentives for them to allow access to their content.
To unpack the new program and what it means to the media business, I spoke to Dmitry Shevelenko, the Chief Business Officer of Perplexity. If you're a cynic, you might think the move is purely defensive — that Perplexity is doing this so it doesn’t get sued. My takeaway, though, after talking to Shevelenko, is that Perplexity recognizes it needs good facts and good journalism to help fuel its so-called "answer engine, and that it wants to find a way to keep those coming.
But yes, he and I do talk about those notorious accusations about plagiarism from Forbes and Wired, what's the right way to attribute original reporting in an AI summary, and yes — that OTHER AI search engine that was just announced by a competitor you might know called OpenAI.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
Subscribe to The Media Copilot newsletter.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
AI companies hoovered up the entire internet before anyone questioned: Is that OK? This is the question that has led to a multitude of lawsuits (including, famously, The New York Times suing OpenAI), many deals between AI companies and various publishers, and an emerging consensus that content creators should be compensated for their data.
That's all well and good in theory, but what about the "how?" That's what my guests this week, Olivia Joslin and Toshit Panigrahi, are here to talk about. Joslin and Panigrahi are the co-founders of TollBit, which is one of a handful of companies tackling a very hard problem in media today, and that's how to get people to pay for content. Well, not people — machines. The web scraping that AI companies do used to be fairly benign. It helps power things like Google search and has traditionally been used as a research tool. But now the big AI guys are just taking that information and summarizing it, without doing that much of the linking anymore. And that's kind of a problem.
Publishers are very motivated now to find ways to be compensated when someone scrapes their content, and that's exactly what TollBit is trying to create: a marketplace where publishers and those who want their data can make a simple exchange: money for information. Of course things aren't always that simple, and I got into the complexities, the politics, and the realities of trying to get someone to pay for something that they've up until now been getting for free.
It was a really illuminating conversation, and I hope you listen all the way to the end where we zero on what a healthy media future looks like. As ever, if you enjoyed this conversation, it would be great if you could follow the show on Substack, Apple Podcasts, Spotify, or any other podcast app, really. Also, I’d appreciate it if you’d leave a rating or review — it really does help the show. And if you’re on YouTube, please like the video and subscribe to the channel. Much obliged.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
When you think about AI disrupting Hollywood, you typically think about CGI characters and creation tools like Sora and Pika that turn text prompts into impressively realistic visuals in seconds. But while technologies that create the things that meet our eyes understandably grab most of the headlines, there’s a quieter disruption happening at the very beginning of the moviemaking process.
Dilip Rajan is the co-founder of Jumpcut, whose tagline is, “Automate grunt work so you can get back to storytelling.” It does that with a product called ScriptSense, which inserts AI into the tedious slog of script coverage — the act of reading and evaluating screenplays. If a script isn’t from a known writer, a studio doesn’t have a lot to go on, so they often outsource it to a network of contractors, which obviously takes time and depends a lot on the tastes of those contractors. Powered by large language models (LLMs), ScriptSense can read way more scripts than any human could, analyze them to a common standard, and then summarize what they're about and if they're any good.
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Of course, there's a little more to it than that, but you can see why any movie studio would be interested in a machine that can read screenplays at scale, especially when there are tens of thousands of scripts floating around Hollywood at any given time — a number that will surely increase now that ChatGPT is joining the writers room.
I chatted with Dilip about where Jumpcut came from, how writers and agents should think about the disruption AI represents, and why Jumpcut's script processor might be just the tool Hollywood needs to get out of its current creativity rut. I thought it was fascinating conversation, especially when we went deep on how ScriptSense works — it's not just "Chat with PDF" on steroids.
If you want to check out Lucihub, please email us a team@mediacopilot.ai with Lucihub in the subject and we'd be happy to send you a discount code.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
When it comes to AI changing video, generative tools like Sora and Dream Machine have stolen a lot of the spotlight. with their ability to "imagine" video clips from text prompts. As cool as they are, most of them aren't available yet, and there's a big question of whether they actually save you any time.
But while these magic clip generators create a lot of excitement, there's a quiet disruption taking place downstream. Because in the real world, when you undertake a video project (whether it's editorial or marketing), there’s a universal rule: You want it done well, you want it done fast, and you want it done cheap. And you can only have two of those things.
Could AI put us on a path to getting all three? That's what I wanted to find out from Amer Tadayon. Amer is the CEO of Lucihub, a service that can create videos that would have taken days or weeks, and turn them around in hours — sometimes minutes. You still need to give it raw footage (it's not a purely generative tool like Sora), but it uses AI so that Lucihub’s human editors can cut videos incredibly quickly, and for a lot less than you'd pay an agency. For creative teams struggling for manpower and resources, it feels like a game-changer.
I talked with Amer about how Lucihub is disrupting the conventional wisdom around video, as well as what that means for the big picture. Could AI make video great again?
If you want to check out Lucihub, please email us a team@mediacopilot.ai with Lucihub in the subject and we'd be happy to send you a discount code.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
Subscribe to The Media Copilot newsletter.
Explore our courses on how to use AI tools, tailored for media, marketers, PR professionals, and other content creators.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
Quick question: How do you know it’s really me in this podcast video? After all, with AI services like Synthesia and ElevenLabs ready to clone my likeness and voice in mere minutes, it’s more than a possibility these days.
Besides obvious artifacts you might see in an AI-generated video, there’s the concept of content provenance, which in practice means a set of technical standards that imagery must adhere to so it can include metadata — nonvisible information that reveals whether an image was created by AI or not — and what modifications there were before it hit your eyeballs.
The thing is, for content provenance to work, you need everyone in the chain — from camera to website — to pay attention to it. So it turns out infrastructure plays a big role, and that’s what I wanted to to talk to Livepeer CEO Doug Petkanics about on The Media Copilot podcast.
Livepeer is a decentralized video platfom, which has an ace up its sleeve with respect to content provenance: the blockchain. By using the same tech that powers cryptocurrencies, Livepeer aims to create a cost-effective, scalable, and reliable way to both process video and label it properly. Its new AI subnet means the network now supports AI-generated content, including tools like OpenAI's video generator, Sora.
Doug and I explored the critical issue of content authenticity in the age of AI. As deepfakes and AI-generated media become more prevalent, this is obviously a growing challenge. Doug explained how Livepeer's blockchain tech can help maintain a healthy media ecosystem by providing verifiable “attestations” of content creation and modification, helping ensure that audiences can trust the what they’re looking at.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
Journalists are naturally skeptical people. They look critically at new things, especially when the incentives around them are complex, and that's certainly the case with AI. Given the early missteps of some sites publishing AI content and the existential threat the technology poses to distribution, it's only natural that a stigma around using AI has emerged among many reporters.
That stigma is something Josh Brandau is wearing down, one newsroom at a time. Josh is the co-founder of Nota, a content platform for augmenting newsrooms with AI tools. I spoke to Josh for The Media Copilot podcast about the company and how it's grown since its launch in the summer of 2022 — well before ChatGPT and generative AI exploded into the mainstream.
Josh and I discussed how Nota is helping newsrooms, especially small to midsize ones, giving them easy ways to leverage AI to create content more efficiently across multiple formats. But we also talked about how transformative AI is going to be, both for how journalists do their work and the industry as a whole. With everything happening with Google’s AI Search and ChatGPT’s new ability to really talk to you, that discussion is definitely more urgent than ever.
If you enjoy this conversation, I’d encourage you to follow the show on Substack, Apple Podcasts, Spotify, or any other podcast app, really. Also, we’d appreciate it if you’d leave a rating or review — it really does help the show. And if you’re on YouTube, please like the video and subscribe to the channel.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
In the latest episode of The Media Copilot podcast, I had the pleasure of talking with Jon Gillham, founder of Originality.ai, about the nuanced world of AI-generated content and its detection. Jon's company started from a simple need in his content marketing business: ensuring that content was authentically created by humans, not AI. As AI sophistication has grown, so has the necessity for robust detection tools.
The field of AI detection is more complicated than you might think. Jon points out that while not all AI content is spam, almost all spam is now AI-generated. That leads us to an unpacking of Google’s dilemma — that targeting AI-generated content in search results might result a better experience for customers but its position as a major LLM developer inherently conflicts with that goal. Nonetheless, AI detection tools are essential for publishers trying to navigate the new digital landscape without compromising their search rankings or credibility.
We also talk about the importance of transparency and authorship as AI becomes more ingrained in digital content creation. Projecting forward, you can begin to see a “hybrid” future where AI aids content creation under stringent guidelines to ensure quality and authenticity, and that’s OK!
I’m really happy with how the conversation goes deep on the complexities and realities of having AI “out in the wild” in our information ecosystem, and how the interplay between AI technologies and content creators has evolved — and will continue to evolve.
If you enjoy this conversation, I’d encourage you to follow the show on Substack, Apple Podcasts, Spotify, or any other podcast app, really. Also, we’d appreciate it if you’d leave a rating or review — it really does help the show. And if you’re on YouTube, please like the video and subscribe to the channel.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
Subscribe to the newsletter.
Explore our courses on how to use AI tools, tailored for media, marketers, PR professionals, and other content creators.
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Subscribe to the podcast on:
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
If past is prologue, the story of how AI changes media won't have a happy ending for those in the news business. Tech platforms profoundly altered the media landscape over the last 20 years, forever redefining how news is created, distributed, and monetized, and most media brands that tethered their strategy to tech platforms now find themselves diminished and, in some cases, demolished. Will history repeat itself with AI?
To guide me toward an answer, I turned to Ricky Sutton. Ricky is one of the most interesting personalities in media today, and we spoke on The Media Copilot podcast. He’s had a wildly diverse career, cutting his teeth as a reporter before moving on to very important roles at both media companies and tech companies. That experience has enabled him to spot trends long before they were obvious to the rest of us. Ricky's also founded Oovoo, a video platform for media companies that’s powered by — what else — AI.
Last year he stepped down from the day-to-day at Oovoo to focus on AI through his own Substack called Future Media, where he regularly shares his thoughts on how AI is changing how we consume information, and how those in the media can get ahead of those trends so we’re not always at the mercy of Big Tech.
If you enjoy this conversation, I’d encourage you to follow the show on Substack, Apple Podcasts, Spotify, or any other podcast app, really. Also, we’d appreciate it if you’d leave a rating or review — it really does help the show. And if you’re on YouTube, please like the video and subscribe to the channel.
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
Subscribe to the newsletter.
Explore our courses on how to use AI tools, tailored for media, marketers, PR professionals, and other content creators.
Follow us on X.
Subscribe to the podcast on:
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Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
This week on The Media Copilot podcast I’m thrilled to talk to Alex Fink. Alex is the founder and CEO of Otherweb, a news aggregator that uses AI to give readers a healthier news diet than your average social media feed. Instead of optimizing for outrage or clickbait, Otherweb favors “kale over cake” — an analogy we come back to a few times in the conversation.
Alex has an interesting career. After working for a long time in computer vision, he decided the world had enough cameras and decided to focus instead on the decisions technology could help with rather than the tech itself. Otherweb isn’t his first rodeo — he’s been a founder twice before and a very astute observer of the media business. He’s full of great observations about the arguably corrupted incentives of ad-based media, which helps to guide Otherweb and the way it ranks and serves up content.
You can check out Otherweb here: https://otherweb.com/
The Media Copilot is a podcast and newsletter that explores how generative AI is changing media, journalism, and the news.
Subscribe to the newsletter.
Explore our courses on how to use AI tools, tailored for media, marketers, PR professionals, and other content creators.
Follow us on X.
Subscribe to the podcast on:
Apple
Spotify
Other podcast apps
Music: Favorite by Alexander Nakarada, licensed under Creative Commons BY Attribution 4.0 License
© AnyWho Media 2024
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