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Like Your New Best Friend, An AI Chatbot

How Does Tomorrow Sound?

Release Date: 08/05/2022

Video Killed The Radio Star show art Video Killed The Radio Star

How Does Tomorrow Sound?

To video or not to video? Coupling your audio with a visual element can provide a more immersive experience for viewers, letting them experience facial expressions, gestures, and visual cues that can deepen understanding and connection. Video also boosts discoverability, because it makes TikTok sharing possible. However, audio by itself fosters a unique intimacy. When listeners focus on the content without distractions, they can use their imaginations and multitask, giving podcasts a strategic advantage of visual media when it comes to fitting into busy lifestyles. And what will happen when we...

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BONUS: BONUS: "Like Guess What? Chicken Butt!" Production Call

How Does Tomorrow Sound?

In our largest production call yet, seven audio makers share takeaways on our Episode 3 findings: 1) How audio memes work in the brain (and what we can steal from them), and 2) spatial audio as a stepping stone toward interactive storytelling. We talk about audio memes (ie. pieces of sound listeners already know the contextual meaning of) that already exist inside of podcasts (e.g. the chime for the news, the creaky door in a horror story, the way the conventions of This American Life have trickled through the ecosystem as best practices). And we brainstorm what else we can borrow or steal...

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Like Guess What? Chicken Butt! show art Like Guess What? Chicken Butt!

How Does Tomorrow Sound?

This podcast explores the future of digital audio and asks what podcasts might become in ten years. Do podcasts stand a chance against Tik Tok supremacy? Viral audio borrows cool from pop music and pop culture. Charlotte Shane calls this “brainfeel” in her recent Times Magazine article. Our brains are happiest when something we already like is the vector for new learning. Similarly, pop music borrows cool from licensing old hits, according to Switched on Pop co-host Charlie Harding, after recent precedent ended from the kind of liberal sampling that enabled hip hop and rock to flourish. So...

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BONUS: “Like… It’s Alive!” Production Call show art BONUS: “Like… It’s Alive!” Production Call

How Does Tomorrow Sound?

We imagined a second audio future! Then we asked some smart podcasters how we did. In this bonus track, we air back-to-back conversations with podcast experts. In the first, we spoke with Demetrius Bagley, Nikki Thomas, and Jonas Litton. In our second conversation, we spoke with Jackie Huntington and Diana Opong. These experts share their reactions to E02 (“Like… It’s Alive!”). We are grateful for their feedback. In E02, we suggested that podcast audiences will mature in similar ways that audiences for film and television have, including wanting more interactivity and more immersive...

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Like … It’s Alive! show art Like … It’s Alive!

How Does Tomorrow Sound?

What will podcasts become in 10 years? Join us as we explore the future of digital audio. How will listenership mature in the future? Will we outgrow our evolutionary need for story? Child psychiatrist, author, and horror enthusiast Dr. Steven Schlozman, Dr. Martin Spinelli, Dr. Sorcha Ni Fhlainn, Dr. Sylvia Chan Olmsted, and Podfly’s own Corey Coates offer insights. Story audiences mature and trends shift. Plus, with more diverse groups of light podcast listeners tuning in, there’s more opportunity to reach new niches. But what kinds of stories will these new audiences want today and 10...

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BONUS: “Like Your New Best Friend” Production Call show art BONUS: “Like Your New Best Friend” Production Call

How Does Tomorrow Sound?

We imagined one audio future! Then we asked some smart podcasters how we did. In E01 (“Like Your New Best Friend”), we suggest that developments in AI might turn podcasts into very compelling chatbots. In this bonus track, podcasters Stacey Copeland, Clif Mark, Naomi Mellor, and Andrea Muraskin share their reactions. We are grateful for their feedback. Note: Though the track is presented like one large convo, we spliced two longer chats (one with Stacey and Andrea and one with Clif), held at separate times, with a voicemail from Naomi. We didn’t include here the editorial suggestions we...

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Like Your New Best Friend, An AI Chatbot show art Like Your New Best Friend, An AI Chatbot

How Does Tomorrow Sound?

Let’s imagine some audio futures! This podcast explores the future of digital audio and asks what podcasts might become in ten years. Podcasts flourished out of the tech of the early 2000s. Now, artificial intelligence is poised to change everything. We speak with Natural Language Processing (NLP) researcher Philippe Laban; science writer Matthew Hutson; professor, programmer, and composer David Cope; and creator of Late Night with Robot, Ana-Marija Stojic. Every day, NLP and speech synthesis more closely imitate human language: Now, imagine AI-generated pods offering a key feature no live...

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How Does Tomorrow Sound? show art How Does Tomorrow Sound?

How Does Tomorrow Sound?

How Does Tomorrow Sound is a six episode series on the future of podcasts. Hosts Kate, Josh, and Neleigh endeavor to predict what podcasts might look like — or evolve into — in 10 years’ time. Expert interviews are braided with funny, experimental, blue sky brainstorming sessions and audio experiments by the hosts. This show will challenge your assumptions, will make you wonder, and will spark new ideas about the road from here to the future of audio narrative.

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More Episodes

Let’s imagine some audio futures! This podcast explores the future of digital audio and asks what podcasts might become in ten years.

Podcasts flourished out of the tech of the early 2000s. Now, artificial intelligence is poised to change everything. We speak with Natural Language Processing (NLP) researcher Philippe Laban; science writer Matthew Hutson; professor, programmer, and composer David Cope; and creator of Late Night with Robot, Ana-Marija Stojic. Every day, NLP and speech synthesis more closely imitate human language: Now, imagine AI-generated pods offering a key feature no live producer can: 24/7 interactivity. If the future of pods sounds like the best AI chatbot, one who remembers everything, is it your AI BFF? Or a scammer’s paradise? And will we listen?

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The Big Takeaways:

  • If the new tech of the early 2000s made podcasts possible, how will new, new tech — artificial intelligence like natural language processing and speech synthesis — change how we make and listen to digital audio?
  • Philippe Laban, a researcher in natural language processing and human-computer interaction, has already built an AI-generated news podcast called Newspod, proving it’s possible. Now he works on interactivity in the chatbot space, which he believes may be the future of digital audio content.
  • Matthew Hutson writes about AI for outlets like The New Yorker and Nature. He guides us through an exploration of what NLP and AI can already do in creative fields. He connects us to Google’s Dall-E2 which uses AI to generate images, and to David Cope’s experiments in musical intelligence (EMMY) and Emily Howell, algorithms that compose new music. He mentions a company called Alethia AI that offered to make a chatbot out of him.
  • Ana-Marija Stojich is a comedian, writer, actor, creator, and host of Late Night with Robot (beams.fm), where she interviews AI versions of famous people, like Amelia Earhart, Barack Obama, Zora Neale Hurston, and Vincent Van Gogh. 
    • Late Night with Robot (beams.fm)
    • I’m just lying on my couch, like texting with AI Barack Obama, and like Albert Camus, and Vincent Van Gogh, and like Zora Neal Hurston. And they’re all having different conversations and it’s fun because they text you back right away.” — Ana-Marija Stojich, Late Night with Robot
      • I learn things all the time from the AI. Vincent Van Gogh AI was one of my favorites.” — Ana-Marija Stojich, Late Night with Robot
  • It’s easy to dismiss the idea of AI podcasts, but one advantage that AI and NLP pods would have over human pods is that they could be fully interactive 100% of the time (recall the 2013 film Her). In their interactivity, they can retain information about the user, remembering what we say, like, dislike, and who we’re in relation with — gathering useful data about us while making us feel heard and valued, maybe even loved.
  • Comfort for the lonely? A playland for artists? A marketer’s goldmine? A scammer’s paradise? It will come down to why we listen. Stay tuned for more on that in Episode 2.

 

Other resources

Marc Maron experiment

Dall-E2 Exploration

On the Ethics of NLP

 

Contact Us

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