243 comments
freefaler · 126 days ago
Great idea. I wonder how long until we'd see a lot of "autogenerated" podcasts with syndicated advertising inside spamming the podcast space.

Like with robovoiced videos on YT reading some scraped content.

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fny · 126 days ago
Very clever use case. I'm presuming the set up here is as follows:

- LLM-driven back and forth with the paper as context

- Text-to-speech

Pricing for high quality text to speech with Google's studio voices run at USD 160.00/1M count. And given the average 10 minute recording at the average 130 WPM is 1,300 words and at 5 characters per word is 6500, we can estimate an audio cost of $1. LLM cost is probably about the same given the research paper processing and conversation.

So only costs about $2-3 per 10 minute recording. Wild.

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dlisboa · 126 days ago
One problem I see with this is legitimizing LLM-extracted content as canon. The realistic human speech masks the fact that the LLM might be hallucinating or highlighting the wrong parts of a book/paper as important.

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falcor84 · 125 days ago
This is really cool, and it got me thinking - is there any missing piece to creating a full AI lecturer based on this?

What I'm thinking of is that I'd input a pdf, and the AI will do a bit of preprocessing leading to the creation of learning outcomes, talking points, visual aids and comprehension questions for me; and then once it's ready, will begin to lecture to me about the topic, allowing me to interrupt it at any point with my questions, after which it'll resume the lecture while adapting to any new context from my interruptions.

Are we there yet?

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vincentpants · 126 days ago
Listening to an AI generated discussion-based podcast on the topic of anticipating the scraping of deceased people's digital footprint to create an AI copy of your loved one makes the cells that make up my body want to give up on fighting entropy.

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