The Media Copilot

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠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

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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. Subscribe now 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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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

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. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠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