flabberghaster

flabberghaster OP wrote (edited )

The dynamic ad thing I knew about but I didn't think of it when I made this. The "if it got big it would crater the already not great podcast ads business model and put people whose output I like out of work" did occur to me.

I feel like you could may be work around the dynamic ads issue if you were good enough with signal processing. Originally the idea was "the only good use case for an AI I can think of, is one trained to recognize ads in podcasts and skip over them" but then I tried to think how to do it without AI.

Even if you didn't use AI, you could probably do what Shazam did where it could recognize a song. The app would instead, recognize the point in the podcast where they were just about to throw to ads, and when they come back, and skip over anything in between. This would still work with tagging probably.

The podcast companies would come up with countermeasures I'm sure. And it seems quite complex. But I wouldn't have to hear about sports betting as much.

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flabberghaster wrote

100%. They bill it as "you don't have to pay a guy to run your on prem hardware for you" but you absolutely do not save money once you've scaled to the point you need a few machines.

And by that point, your software is probably so tied in to proprietary Amazon stuff that they've got you in a vice.

It's the same model as Oracle: oh we're so easy to use and friendly, and we have all these great Oracle specific features, go ahead and use them! 😊 but then they have you locked in and they can just start squeezing.

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