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RadioGPT, AI hosts and the future of human on-air talent

Most chatbots today use the public Internet as a memory store. Neither radio nor TV would benefit from allowing a chatbot coupled with some form of voice synthesis to talk about a subject without significant filters/guardrails. And like anything else; if the public Internet is the only reference material for the bot to refer-to, there's at least a 50% chance what the AI responds with is wrong.
Character.ai, a chatbot web application, has the following warning that I'm sure may apply here.

"Remember: Everything characters say is made up!"
 
But what would it say?
[song plays] You're listening to the NEW 105.7!!! More of your favorites from the 80's, 90's and beyond!!!" [song plays] "That was (insert name of song or artist here)." [song plays] "Stay tuned for more of your favorites from the 80's, 90's and beyond!! on the NEW 105.7!!! [5 commercials in a row] [song plays] etc. etc. ad infinitum. Which is typical on a lot of music stations, especially during times that aren't morning or afternoon drive.

Does it seem as if it would be that hard to program?

And don't forget the potential use on radio PSA's and commercials.
 
Westwood One will do Custom breaks, but this AI would know instantly (if programmed correctly) the local football score. "At halftime, State U. leads West Podunk State 21-0"
If you're running a small station in Podunk, Wyoming, but still wants to sound as "local" as possible, programming a voice bot instead of asking VTing air talent to cut multiple extra liners has to be seen as a plus.
 
Take a look at there client list.
Sure...let's have a look:

Capture (Small).PNG

Well, lot's of big-dogs of the industry there on that list, it would seem.

I would surmise that a large percentage of the general radio-listening population (e.g. NOT radio insiders or radio geeks...) wouldn't have a clue if a daypart was being done by an AI-driven computer voice.

As i mentioned in a prior comment in this thread, someone will be first. Many others will look at that cost-benefit analysis to see if it hurts or helps.
 
Sure...let's have a look:

View attachment 4400

Well, lot's of big-dogs of the industry there on that list, it would seem.

I would surmise that a large percentage of the general radio-listening population (e.g. NOT radio insiders or radio geeks...) wouldn't have a clue if a daypart was being done by an AI-driven computer voice.

As i mentioned in a prior comment in this thread, someone will be first. Many others will look at that cost-benefit analysis to see if it hurts or helps.

As useful as this would be in small markets, I'm betting it's not going to be cheap early on. It may make more sense to continue VTing for the really small ones.

For the companies that can afford to license it, it's likely to be more about dumping benefit costs for full-time humans than anything else.
 
<...>
For the companies that can afford to license it, it's likely to be more about dumping benefit costs for full-time humans than anything else.
You're probably right, it's not going to be cheap. Yet, it could be revolutionary.

There's someone sitting in a C-suite level office that's formulating where this goes on-air first.

Version 2.0 is going to be taking the vocal characterizations of <someone known> and having the system replicate that voice in dozens of markets at the same time.

<someone known> will get a big check, and will never do voice work naturally again.
 
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