What Will the Future of Podcasting Production Look Like?

What might podcast production look like in the future?

This is the future of podcasting, where we ponder what awaits the podcasters of today.

From the school of podcasting, here's Dave Jackson.

And from the Audacity to podcast, here's Daniel J.

Lewis.

Daniel, Future podcasting, episode 56.

What might podcast production look like in the future?

We love talking about future stuff, theorizing, looking at directions, things are going as well as what we hope might be coming.

And we've both had conversations recently with different people, and we came back from PodFest recently, and I think podcast production could be some area where there's some room for innovations.

Look at how podcast production has changed since the beginning.

Dave, when you first started podcasting, because you started podcasting two or three years before I did, what were you using and how were you producing it?

Everything was hacked together, pieces, parts for musicians, typically.

So I had this very small mixer for musicians.

I remember at one point I had taken a Shure SM58 and somehow found a microphone that was XLR to 8th inch, like a headphone jack, and plugged that directly into the back of my Dell sound card.

Right.

That was in my computer.

And I just remember I listened back to the recording and like about 40% of it was just.

And then you'd hear me kind of gargle through it and I was like, yeah, that's not going to work.

And I ended up plugging the mic into a mixer and then RCA jacks into the Dell.

And that kind of, for some reason, I think, because it wasn't a mic level, it was, you know, a different level that was almost tolerable.

But yeah, it was, it was not great.

And I do not miss teaching people.

Mix minus that was, that was always.

And we're all using Skype back in the day.

Yeah.

So it was not a lot of fun.

Once you got it, you got it.

But it was just a matter of taking a bunch of stuff that wasn't really designed for podcasting because nobody knew what it was.

And then, you know, so we're actually what I call painting with peanut butter.

It's like, I think this will work.

Okay, let's try that.

And then if you put this cord into that connector and then that connector into a converter.

So there's a lot of fun.

Yeah.

And I look back at kind of a non complete history of podcast production and some of the major inflection points that we've had that have radically simplified or changed the way that we produce podcasts, like in no particular order Here.

But you look at how the USB XLR microphones have revolutionized things like with the Audio Technica ATR2100 USB and its newer version, the X version, the Q2U and all of those microphones.

How that radically simplified things and brought a good quality microphone that you could plug directly into a computer or even a mobile device.

Look at also how stuff like live streaming has gotten so much easier.

Where back in the old days it was ustream or livestream.com and expensive services, now it's pretty much you can live stream everywhere on any social network almost.

And yeah, mixers.

I started with a mixer as well and upgraded to an even bigger mixer.

And multiple mix minuses going out to multiple computers in order to do multiple call ins and almost a Skype a source like you might remember Leo laporte on this Week in Tech talking about the Skyposaurus multiple mischief Mac minis that he tied together for all of this.

And now we have the Rodecaster Pro and its later versions as well.

And how that has radically changed the way that we record our podcasts and even produce them in some sense and made so much of this easier.

And they're portable versions and we don't have to think about really the noise floor so much anymore because the equipment has gotten so much better too.

Or ground loop is almost a thing of the past.

Now I know there are certain circumstances where it can still occur, especially in certain kinds of computers, but it is now much less prevalent.

In my old system, before the Rodecaster Pro, on this bigger mixer that I had upgraded to, I think I had maybe three or four dual channel, which was really then four channel ground loop isolators because like everything that went into the mixer and everything that came out, which was a whole lot of channels, it was just a mess.

It was a spaghetti of stuff that took me hours to set up.

We don't have to do any of that anymore because the hardware has made so much of this easier.

So here's the cool thing, this isn't the end of it.

What's next?

Yeah, if you look at descript, I remember the first time I saw Descript at Podcast Movement and I just thought, oh, bless your heart.

Like I just, that's just not gonna work, you know.

And they kind of did a demo and I was like, yeah, nah, that's just not gonna work then.

Now I use it every week.

I go in, I don't use, I don't go too crazy with the AI, but it's probably saved me literally about four Hours, Because I'll go in.

It's a live show, so me and Jim are just, um, machines.

Like hundreds of UMS in 90 minutes, to the point where, at least for me, it's distracting.

So I'll go in and I'll say, remove filler words.

And then I'll uncheck the giant list and say just.

And.

And also double words.

We do that a lot, where they'll be like.

Like, it's this.

And, you know.

You know, it's this.

And we do a lot of double words.

And for probably the first four times, I would go back and listen to every edit, and they weren't that bad.

Now, I would never say remove all filler words.

Go.

But this is just a few.

And then once that's done, I go in and say, add chapters, which it does.

I hate the fact that it can't add chapters with timestamps, but I can say add timestamps, and then I will copy those and put them into some sort of text document.

And then I can say, write a YouTube description, which again, gives me timestamps, a quick opening paragraph, which typically isn't very good.

But I'm just looking for the timestamps again and a description, and I'm done.

And I export it.

And in that case, that shows on Buzzsprout.

And so buzzsprout recognizes the chapters because I told Descript to make all the markers chapters.

And I kind of was like, I'm going to put this out.

I mean, I always kind of listen to most of it, but I was like, I'm really just going to kind of wait for my audience, because if these are bad edits, I'm putting out a show to a bunch of podcasters.

They're going to go, what are you doing?

You know, this sounds weird.

Or you cut off half a.

And I've never really had a complaint again.

I listen to most of it.

To me, I'd be a hypocrite if I didn't listen to something that AI was involved with.

But I always kind of go through and like, okay, and aside from I have one person that is listening on Pocket Cast, because I'm using Buzzsprout, so I'm playing with some of their dynamic tools.

And apparently for one person, when it goes to a dynamic part, he has to hit play again to keep going, which I still kind of scratch my head because I think it's still a solid MP3 file.

I don't think they're, like, going to a separate file to play the.

You Know the min role or whatever it is.

But I mean, that's amazing.

And again, when I go back to seeing that the first time and thinking, oh, this will never work, I mean, it's a great idea, but come on, you can't replace an editor.

And yeah, well, maybe you can, which is good again, because some people can't afford an editor, but they know how to edit stuff in Microsoft Word.

And as long as you get to hear the edit and decide, okay, is that a keeper or not?

So that's one for me.

That to me was especially as it's gotten better and better, I know now they're working on video stuff and all sorts of other stuff.

So it's kind of weird how two years ago we were like, holy cow, you, you edit the text and it edits the audio, and now it's kind of like, yeah, yeah, yeah, but look what it does with video.

So that's one for me that's been kind of a game changer.

Can you think of any other ones that have come along the way?

Yeah, I think some of the things like the multi ender recording technology, SquadCast, ZenCastr, those kinds of things.

Super simplifying that process of trying to record multiple people in different locations.

And then there are more smart tools that can either take those recordings and do this, or while you're recording in studio, like the Rodecaster video hardware can do this where it can automatically detect who is speaking.

And if you're doing video, then this is important, of course, not in audio, but it will switch the camera to whoever is speaking.

Or you can define a certain camera to switch to when a certain person is speaking.

That kind of stuff that can be done very easily, not even with AI necessarily doing it, because it just needs to look at which channel has audio in it at this point and which one is the most, the loudest or the longest over this if there's any kind of overlap, like laughter or anything.

But that kind of stuff can be easily built in.

And you're seeing tools made to start doing this.

I think as much as we've given them hate, I think we do still owe them credit.

Anchor made recording so easy that people accidentally launched podcasts.

Most of them were probably just accidental.

They didn't actually mean for it to go out to Apple podcasts and the other directories, because Anchor made it so easy.

You just open an app on your phone, press record, press stop, and you did have to enter a title and still do.

But think about when these AI tools come into that, where maybe Once you press stop, it's already transcribed it while you're recording.

So then it instantly offers a few titles, maybe some images and descriptions for you, some of that that could be happening in the future.

But what ANCHOR did was they made it dead simple.

And that was a great point because that brought many people into the podcasting space realizing they could be do it.

They just need to figure out what.

To say besides test, test.

I think it's working.

I don't know.

Wait, no, there's a blinking light.

Yeah, those were riveting.

So looking then, with these things in mind, what has come before and the innovations that we've had and the inflection points in the production aspect of podcasts, and this is not an exhaustive list for sure, but these are some that stand out to us.

What might be something coming in the future, what might we predict will come as well as if we could wave a magic wand and get a particular thing, what might that be?

So I'll start with something here of a prediction that I think could come.

I'm not going to say it's coming in 2025, but we know AI is getting better.

Like everything everywhere is just technology wise, getting better, smarter, faster, more thorough, all of that stuff.

So if you use the AI tools right now to generate your chapters and you don't like how they're divided or how they're labeled, that's going to get better.

So there is of course that prediction, that stuff will get better.

I think as it gets better, it will become more useful to things.

So that I already hinted at this prediction.

I think there will be a point where we'll have podcast recording apps both on a device, on like your mobile device, on your computer, and I think even in standalone hardware devices like a Rodecaster Portable or a Rodecaster Go or you know, something like that.

Those are completely made up names.

I don't have any knowledge of anything like that that exists.

It could be in production right now and I don't know it, but something like that, where it is, you press a button, you start speaking, when you're finished, you stop and it has already produced it for you.

Basically where it's giving you title suggestions, it has correctly detected when you changed topics and put in chapter markers for there.

Maybe it even automatically generated the images for you while you were speaking.

So then all you have to do is go back and just approve the title, the description, the images, the chapters, and some of that.

Maybe it even did some editing for you as it learns your communication style and what you're okay with allowing and what you're not okay with allowing, such as there might be certain times where you're okay with it repeating a word that leaving that in there, because that is the natural way that you speak.

And it's not an overly distracting thing, as opposed to.

That would be a major distracting thing to leave in.

And it could edit out those major distractions so it could learn your communication style so that it's not compromising your authenticity, but it is still just automatically editing it for you.

And maybe you could even tell it ahead of time.

This is the kind of stuff that I want to focus on, but would probably learn that from the past content that you give it as it learns, and maybe you give it your outline ahead of time so it knows this is what you're going to be talking about.

So most likely these are going to be chapter markers at these points in your outline.

And the transcript should generally follow this.

The flow needs to support this outline.

A lot of stuff that it would be pretty much press a button, get your podcast episode published and produced and all of that that I am quite confident we will see that.

How long from now will it be effective?

I don't know, but I think that's coming.

I know part of that.

I haven't played with it in a long time, but it was impressive.

This is probably a year and a half ago, which is Alitu from Colin Gray.

It had a thing where you could put in your intro and if your intro had music that was supposed to fade out, you could say, make this a 5 second fade out.

And it would kind of look at when you started talking.

And from the time you started talking, it would then fade out five seconds.

It wasn't like this just automated thing.

It was based on when you started talking.

And I was like, that was pretty slick.

So that I could see people having that situation.

Even now with things like Alphonic, you can upload what I would just call the meat and potatoes, you know, the main gist of your podcast.

And it can slap on an intro and outro.

So if you had an intro and outro that didn't fade out, it could easily stitch the whole thing together.

So there are all sorts of ways that I think we're going to use technology to do some of the mundane things that, you know, we're like, oh, hold on, I've got to put on my music now and have it come in and out and things like that.

And we've already got dynamic content that you can put in.

So that's always kind of fun.

But the other thing that's going to be interesting and we're not sure where it's going is of course, fake voices, because they're getting better and better.

And as much as I make fun, I call them Kyle and Sheila.

Google Notebook.

I'm using that thing all the time where I have a folder in my note Joy, which used to be Evernote, and it's called marketing crap.

And this is just stuff I've signed up.

I got my PDF for how to make a better lead magnet or whatever it was, and I never looked at it.

I was like, oh, I'll look at it later.

And I was like, okay.

Well, before, because I was cleaning up stuff and I was like, hold on.

So I just upload the PDF and then I get like a 5, 10 minute summary of what it is and then I can decide, oh, you know what, I should probably go read that PDF.

That wasn't that bad.

But most of the time you get the gist of it.

So that's going to be interesting.

I already know that with Google Notebook, as they are doing their podcast, you're listening back to them, you can somehow interrupt them.

And I guess if you were recording that, you can like interrupt them and then say, wait, I have a question.

What about such and such?

And they will answer.

So now it's gone from a duo to a trio.

And I guess I haven't done this yet, but if you interrupt them enough, they start getting a little annoyed.

So I want to do that just for fun.

This is how the robot uprising begins.

It's like, I couldn't take it anymore.

Kept interrupting me.

So in the early days of AI, Mike Russell, who has a great YouTube channel where he just constantly shows AI tools, but he had it to where in Feedly, if he checked a story, it would somehow send that story via Zapier or whatever to a Google Doc, which then sent it to Elevenlabs, where a robo version of Mike's voice would then be exported and put into SoundCloud.

And I'm like, Mike, why SoundCloud?

He's like, that's the only thing that was working was Zapier at the time.

And it was not very good.

But it was the very early days of this stuff.

And it was him talking about the latest AI kind of stories in an AI voice.

That's the other one.

I kind of go, I have seen things that make my.

Like just a single tear comes out of my eye.

You know, you're kind of like.

And I saw a YouTube video.

And it was such a great hook.

He's like, you know what?

This is so good.

Google doesn't want me to tell you.

And I was like, all right, kudos for a great clickbaity kind of opening.

He says, go to YouTube and type in your subject, and then take the top two videos and transcribe them, throw them into ChatGPT and have it write a script for you.

And then you read the script.

And I was like, so if I understand this correctly, you're going to position yourself as a thought leader by stealing somebody else's thoughts and putting them out as yours.

So that's one of those where I'm like, well, again, it's really interesting to see where it's going.

I know.

I think it was Adam or somebody talked about how Google Notebook has competition from another division in Google.

Like Google is now working on two AI tools.

That's never happened before at Google ever.

So that's one where I kind of go, my throat's kind of scratchy right now.

I could have maybe brought in Robo Dave to take over tonight.

So that'll be one it'll be interesting to see.

I just know now I tell all of my clients, lean into your personal stories.

Yes, it was very funny.

You might appreciate this.

I preach every other Sunday at my church.

This is one of those temporary, permanent things that I've somehow found myself in.

And So I asked ChatGPT to bring up some scriptures based on my topic.

And I said, yeah.

And I even said, this is.

It's a sermon for people where the average age is 60 and blah, blah, blah, and it spit this out.

And I said, hey, thank you so much.

Those are really good.

And it said, thanks, David.

Good luck with your sermon.

I'll be praying for you.

And I was like, all right, chatgpt is on the.

It's a prayer warrior.

I didn't know that.

So that was interesting.

Now, you mentioned, like, basically having an AI co host.

Not to be confused with Buzzsprout's co host, AI.

Right.

But an AI co host.

That opens up some really interesting potential.

Because the two things that I thought of in my mind were maybe you've prepared information and you're just not very good at presenting it, or you feel awkward doing a monologue and you don't want to have a guest on, but you feel kind of awkward doing a monologue.

So you could have the AI co host join you and add insights to your points.

Now, of course, if you use any content that AI creates, you need to make sure that you fact check it and ensure it's correct.

But that kind of thing where like you're each building on each other or another aspect of it is your AI co host could be asking you the kinds of questions your audience might be.

So it's like you're having a conversation with the AI, teaching the AI about it, but then the AI is trained to act like an audience member, asking you the kinds of things your audience would want to know and asking for clarification.

Like anytime you use an abbreviation, it's like, what does that mean?

Can you clarify that stuff?

Like that it could be a really interesting crutch in this sense, or support for people who aren't as confident communicating in a monologue.

But yet that would be really interesting.

Like half the podcast voices are people and half is an AI.

If it's one person plus an AI, that that could be really, really interesting.

Craig Van Slyke does the show.

AI goes to college.

He's a college professor.

And it's all about, how is this going to work in this situation?

How do we know if our students are actually writing these papers?

And it's just not AI and all sorts of just like, how are we going to handle this?

He had a show that he was doing solo and he called me up, he's like, what do you think of this idea?

I'm thinking of bringing on ChatGPT in its audio format just to try it.

And I go, well, it doesn't hurt to try it.

And his whole thing was, how do I plug my phone into the Rodecaster?

Or in his case, I think he had a focusrite mic.

I think if you have the duo, it's got a built in plug for your phone.

And he's like, all right, I'm going to try this just to see.

And I said, I think as long as you're transparent about it, that it's not a real person.

And I said, and if you're doing a show about technology, what's the worst that could happen?

It could be boring.

And if so, try it.

There have been times I don't use the audio chatgpt a lot, but when I have and I use it to brainstorm, it always brings up something.

And I'm like, oh, I never thought of it that way.

And that's really what I use it for.

And so I could see that happening.

It's Dave's not here now, you know, that kind of be interesting.

Hit stop.

I don't want to hit stop, Dave.

So that'll Be fun.

The podcast is mine now, Dave.

That's right.

I could see some abuse of that for sure.

And any use of AI or artificial content and like, how to disclose that kind of thing would of course be.

We've talked about disclosures before, so we don't have to rehash that.

But I am not a fan of using AI to create content for you.

I've said that multiple times.

I think I will continue to say that I can understand images, although you really have to look at the images closely to make sure they look okay and they're not embarrassing you.

But all of that's just going to get better.

But from making the content for you, what you are communicating, I think that should be you, the podcaster, the content creator, the messenger here, that is all.

You sure use AI to help you brainstorm ideas, maybe help you refine it, improve it, edit it, produce it.

Any of that.

An aspect of AI that I could see happening in the future with production kind of thing that could help with this.

The help.

The most important creator in this process is you, the podcaster.

Why?

If all of this AI stuff is going to get faster and stream even the information.

So like this whole conversational thing, that would require the ability for the AI to be actively listening and processing in real time in order to respond so there's not this awkward pause like you're talking to someone who's on the moon and let's wait eight minutes for the AI to respond back to us.

But instead you could get this information almost in real time back from the AI as if it is an actual other person or even the information from it as it's processing this stuff while you're speaking.

All leading to this idea.

Instead of the AI speaking for you, creating your content or even fixing your content, what if the AI helps you improve your communication?

Like imagine this.

The AI is a neutral third party here, so it has no feelings, it will not pray for you, despite what it says.

It is not sorry, it is not happy, it is not any of that stuff, but it is this neutral third party.

Imagine if I had a guest on my podcast and you have to imagine very hard because I don't do that.

But imagine I had a guest on my podcast.

I let them know I use this AI tool that helps with things.

And would you like to get some tips from the AI afterward on maybe how you could communicate better next time?

I'm going to get tips for myself on how I could be a better interviewer or a better presenter.

Would you be interested in that as well.

So then immediately after their interview or the conversation, co host conversation or monologue or whatever, you get a sort of report from the AI.

And yes, there are some tools that kind of do something like this.

Like they analyze who's been speaking the most, what's the confidence level of the content, that kind of stuff.

But it's mostly just kind of meta information.

I'm saying actual practical tips that the AI could look at what you say and offer some suggestions.

Like it sees how many times you say you know and then point that out to you to say you've said, you know this many times.

I know it can be a struggle to overcome that.

Here are some ways that you can work on not saying you know so much that you could practice just in your everyday conversations, as well as ways that you could present better here in the podcast.

Or the way that you communicated this point didn't make a whole lot of sense.

It might make more sense if you approach it like this or things like you tell it about your audience and then it comes back saying, this content was great, but it doesn't seem relevant to your audience.

Or it's above the level that you told me your audience is, or it's below the level that you told me that your audience is.

You're talking like a preschooler here and Your audience is PhDs.

You need to raise your own intelligence and how you're speaking.

Certain things like that that could be for the podcast host, the guest, the co host, that kind of thing to help them improve outside of the podcast.

That could be really cool.

I want to test that.

Now, that's a really interesting idea because right now you could transcribe what you did and then say, can you tell me how this could have been tightened up?

Or I'm sure there's a better prompt than that.

But I write a newsletter for PodPage, and I will write the newsletter and I will take kind of each blurb because it's different little topics.

And I'll be like, here's a blurb I'm doing for podcasters in a newsletter.

Here is the blurb.

And this is how crazy I get with the prompt.

The prompt is make this better.

It doesn't take the Dave out of it.

It's still my story, or whatever I'm talking about.

But there have been a few times when I was like, oh, that's such a better phrase than what I was using.

And so I could see it critiquing for focus or effectiveness of talk or whatever.

I'm going to have to try that.

That's a really interesting idea.

It would be interesting again if you could play the audio and then have it somehow provide clips like when you said this, and then here's the clip of you.

A better way would have been to do such and such, but I've never thought of it as.

Because so many people get worried about it.

I mean, I offer all sorts of podcast audits, and I'm not nailing it out of the park with those.

And I think part of it is a podcasters don't like audits in public.

And even if they're in private, I'm not sure people are up for any kind of constructive feedback.

But if it was private and there wasn't another human involved, that might be something people.

Look, I am really going to play with that for real.

You've spun my brain up.

I'm like, huh?

I'm gonna just to see.

I mean, it could be horrible feedback.

But basically getting coaching from the AI.

Yeah, that's it.

I'm out of a job.

A neutral third party is that you could give that to your guest and offer that as just.

If you come on my podcast, you'll get this little report.

I don't see it.

Maybe you do, but whatever, you know, disclose that if you do see it.

But you can say it's a neutral third party and it might give you some information that can help you be a better guest if you're on another podcast after this.

So that way it's not like you, the host, are saying, you know, this conversation was great, but I would really like it if you would get to the point more.

When I ask you a question, you know, for a guest to hear that from the person who just interviewed them, that's like a massive insult.

But for a neutral third party AI to say, it looked like you waffled around a bit before you actually got to your point every time you answered a question.

Maybe next time pause and think and then answer the question directly.

Yeah, it's one of those things where.

Because I know you can tell it, you are a master of communication.

You're a radio executive, something like that, you kind of tell AI what it is.

You tell it who your audience is and then what you're trying to get it to do.

So when you tell it kind of what hat to put on, tell it who your audience is and then ask it to do whatever kind of critique you want.

I've seen.

I've not done this yet, but I know what I'm doing tomorrow.

I'm Definitely.

Maybe I'll take the transcript of this show and have it critique.

It's like you and Daniel are all over the place.

But I've seen it do interesting things to where I'm like, all right, I'm going to have to play with this and see if I'm going to be replaced by chatgpt as a coach.

There is certainly that possibility because the AI is pretty good.

And the unfortunate thing is the AI models have been trained on your content and my content.

Yeah, without our permission.

And that's unfortunate.

Yes, another human could train themselves on your content and my content.

But the thing is that humans are capable of unique thought and computers are not.

So even if a human hears your content and my content, they have opinions.

Their own opinions, their own experiences, their own ways of expressing things.

So it is different for the AI to do it compared to a human to do it.

And the trick's going to be what are the two words that start every question about podcasting?

It depends, right?

Like, hey, I need this thing.

I'm trying to do this.

And you're like, well, it depends.

And that may be where that kind of feedback wouldn't be entirely accurate.

When it tells you to buy two blue Yetis to plug into a laptop, you're like, no, no, bad GPT.

So that'll be fun.

I would love to see here jumping into the what I wish we could have.

Not just predictions, but what I wish we could have.

And I think this is possible.

Well, we're giving a lot of shout outs to Rode here.

And Rode is really a trailblazer in some of this hardware development, but like a Rodecaster AI, some kind of single box similar to the Nomano device, where it is this egg thing, hey, maybe Enron could.

It's in the Enron Egg.

If you've seen that, check it out.

By the way, follow Enron on X.

The Enron brand name has been acquired by someone for less than $300, I've heard.

And they've just made all of this fun parody stuff, but they have this thing, the Enron Egg is nuclear cold fusion energy for your home.

It's all a joke.

But what if there was something like that for podcasting, where it includes the microphones, it includes the recording device, it includes the AI all built into it.

So everything we've talked about, that AI can help with production, or some of these things can automatically switch cameras or anything like that, but this device that you could connect to or that has the mics in it, or you connect Your cameras to it, or it has the cameras built in, or different things like this.

But this single device that handles all the recording, it automatically produces it and maybe even just with a couple buttons actually publishes it out.

That could be really cool.

The ultimate simplicity.

To press a button to record, press the button again to stop and press a button to publish.

And just in three button presses, you've recorded an entire thing and it's automatically produced it all for you, all within its own hardware.

And you could still have manual control of anything if you wanted to go back and be nitpicky about it.

But the AI and the models inside of it are smart enough to know how to do things.

Well, that could be really interesting.

It would be very expensive if they built something like that.

But imagine the potential of something like that.

Basically a device that you don't have to have a computer.

It just needs a WI FI connection and power.

And maybe it has a camera built in too.

You know, it could be like if it's the egg design, kind of like the no mono device, where it's something you put in the middle and then like this little thing comes up from the middle of it and it's got the camera that points four different directions in it.

So it's got a camera on every person and these little microphones extend out with their little handles and stuff.

Yeah, it might look gimmicky and it might look like a spider is sitting on the desk, but imagine the potential of something like that.

To simplify the process, make it, of course, ultra portable and still end up with a fantastic production in the end that you have not had to worry about.

All you would need to worry about is the content.

Yeah, I mean, if you think about it, I mentioned Descript earlier, but their studio sound is basically AI audio fixing.

You know, it listens to it, takes out reverb, smooths out the volume.

You know, I have a couple plugins that I use that are, you know, again, 10 years ago, didn't exist.

And you throw it in, it cleans out the hiss, removes the background noise, eqs, the voice.

I get really bad audio and I'm amazed that I take it from completely unusable to, okay, that's listenable.

Like, it's not pristine, but it's like, all right, that's usable now.

So it'll be interesting to see where we're headed, what it's going to cost.

If you think about you brought up anchor, if it does get easier, more people are going to do this and that's A good thing and maybe a bad thing.

Well, the thing though is anchor made it easy and quote free, unquote.

Whereas if you make something that makes it easy but it's expensive, that is a natural selection going on right there that only the people who can afford that would actually do it.

And come certain stereotypes with certain people or just certain things that can be a little bit more assumed with certain people.

So if someone can afford the higher expense for something like that, it's probably more likely that they're going to either use it better, respect it better, or be a little bit better at their art than someone who's just doing it for free.

Yeah.

And the beauty of it, when that kind of stuff comes out, you know, just wait three, four years.

And I know the first time I saw a dashboard where the speed of your car was put onto the windshield and I forget it was a Mercedes Benz or something like that.

And I was like, all right, just give it 10 years.

That'll end up in my little beat up Toyota.

You know, it's like, so anytime we see these new pieces of technology and things like that, just, you know, it's like this.

I'm sitting here with a Zoom Podtrak P4.

It's 150 bucks and I don't know, six, seven years ago this was $800.

And not designed for podcasting either.

Something like that.

Yeah.

Daniel, how did we do on the Boostigrams?

We got streaming satoshis.

Thank you very much for those.

And also a couple Boostigrams or super comments as Sam Sethi from Trufans is calling them.

And this comment actually mentions Trufans, but it's not from Sam Sethi.

This is from Lyceum sent 777sats saying, Daniel, I like your idea of Cross app comments.

I wonder if it could be integrated with true fans Social, which my understanding of that is it's basically a Mastodon thing, which Mastodon is powered by Activity Pub.

Or if you're talking about Trufans Social fm, that's the podcast app.

And sure, Cross app comments would ultimately be integrated with that.

Yeah, if anybody's going to integrate it anything, it will be Sam Sethi.

Before the sentence is finished, he's like, I wonder if we can.

Oh, it's right here.

It's.

I've already done it for you.

Is Sam Sethi an AI?

Ooh, here's a thought.

Lyceum continues.

I am sending a super comment with a payment.

This feature is music for my ears.

As a longtime blogger, how about harp music and a booster gram of 777 satoshis.

There we go.

And Lyceum sent another boost of 777 sats, saying, Dave, I have streamed 10 satoshis per minute and according to the tab for activities, I have paid 480sats.

Here is a super comment.

With a payment of 777sats.

Small heart boost, I think that streaming sats could be a popular activity in the near future.

You could set a monthly budget limit on true fans.

Is this really.

Sam, that's it.

I do that now.

I have my bank tied into strike with a K, not stripe strike.

And I put in, I think last month I put in 40 bucks because I was like, I'm tired of putting 20 in every month and then running out.

I was like, hey, let's put 40 in.

And then that goes into my Albi Wallet, which I'm then using in Podcast Guru.

I really wish Pocketcast would jump on the satoshi thing because my new favorite feature is bookmarks in Pocket Cast.

It's like butter.

Especially if you're a person like me that wants to go back like, oh, that's good.

And I want to take a note, if somebody is not streaming sats, if they're not set up for that, I listen in Pocket Casts.

Pocket Cast is my new favorite app.

And then for things like the new media show and podcasting 2.0 and sound off and all the other shows that I know are because there's a little icon you can see in Podcast Guru.

So I have my non satoshi shows and then the ones that are set up, I listen in Podcast Guru.

I really wonder if we're just going to get to a point where.

And maybe we will, with the streaming satoshis instead of it streaming by the minute based on how much you've listened to or how long the episode is it.

If it's just something like we say, hey, for every episode I listen to of any podcast, regardless of the length, send 50 cents worth to that podcaster.

And yes, that sounds small, but hey, 777satoshis is actually a little smaller than that.

No, that's.

That's actually bigger than 50 cents at this point.

But we are talking about these microtransactions.

But the more accessible it is and the more people who do it, the more it does stack up.

That's not to sell.

The dream of 100% of your audience is going to do this.

No.

Right.

But I would rather give 50 cents per episode than be advertised to when I'm only worth.025 cents.

Right.

Not even, you know, a full penny in some cases.

With some of these ads, I would rather be more valuable to the podcaster if the system made it much easier and cash flow was a bit better.

Yeah, I could see where that's just a strain to constantly having to be communicating back.

I like that idea.

Just like either a.

I think some of them do this already where instead of streaming back to the mothership, it kind of keeps track.

And then maybe every five or ten minutes it's like, oh, here's another X amount of satoshis.

So yeah, I like that idea.

So those have been our booster grams.

And thank you also for the streaming satoshis since our last episode.

And I told a lot of people about our last episode when we were at podfest and saying, you got to listen to it because we talked about if we could only have one thing, this is what we should focus on in this year, 2025 for podcasting 2.0.

And I've seen some interesting comments on that episode as well.

So thank you very much for that and joining the conversation.

Yeah, and I think I heard it might have been Sam and James on Pod News week of review.

They mentioned you and your.

Your Cross app comments.

I really want them.

I want it now, Daddy.

Yes, I'm with you on that.

It would be great.

But thanks for everyone for the streaming sats, for the boosted grams.

That is going to do it for this episode of the Future of Podcasting.

If you have any ideas of what you think production is going to be like, you can go to futureofpodcasting.net voicemail courtesy of PodPage.

It's just that easy.

And we'd love to hear your comments that way as well.

But that's going to do it for this episode.

Keep boosting and keep podcasting.

Daniel Future of podcasting episode 56.

What might production be in the future?

We're going to bust out our crystal balls.

All right, maybe not the start we want to go with.

Okay.

Daniel J.

Lewis giggled at an almost naughty joke.

I hear everything out of context.