That sounds like a great idea for a sleep aid: have an AI narrate random wikipedia pages. Maybe it could even allow you to specify topics you have no interest in so it doesn't accidentally pick a topic that might grab your interest.
Using an "AI" (LLM) enhanced TTS adds in tone and other markers to let the underlying TTS sound much more natural. You can then double down with an ML tuned TTS to get a more natural voice.
A paid product, but https://elevenlabs.io/ does it pretty well. There is some work on open source versions you can run locally, they work reasonably well, but I haven't kept up with the FOSS field in several months, so I'm unsure which is currently best
There are some really good open source TTS models out there now. Dia 1.6B or OpenAudio S1 are good options, and you can always check whichever models are trending on huggingface: https://huggingface.co/models?pipeline_tag=text-to-speech
NotebookLM's audio mode doesn't just read out the given text, it creates a podcast format with 2 hosts where one will ask questions and the other will answer, and go back and forth in a discussion style.
That would be a fascinating next iteration - combining these random audio clips with LLM-generated summaries or discussions of the Wikipedia articles they're sourced from.
Why does it play an artificial voice saying "Number 9" over and over in between clips in Revolution 9 mode? it's super annoying especially given the clips are shorter
But this is really cool! I've gotten some animal sounds, weather sounds, music, a small kid talking about a soccer match in Spanish, "evil laugh", political speeches in several languages, and a telephone ringing. only pressed skip a couple times for some really unpleasant noises
Uh wow. This is actual bubble-bursting technology. I love this. Getting StumbleUpon vibes. Also, crazy that so many of these things are actually good... Maybe humanity is not so bad after all? Hmm. Food for thought. :D
I love this, and I don’t mean to throw any shade on it, but this is kind of thing I’d the best to come out of the ”vibe coding” revolution.
I don’t know if this was vibe coded, but what I mean to say is that there are a million things that you just never get around to doing, and LLMs help you to actually _realize_ little cool ideas like this.
Hopefully the "small internet" gets has a resurgence of goofy websites due to reduced development time. Boilerplate gets super annoying, but LLMs don't procrastinate the way I do.
I skipped 2 and landed on the 3rd audio piece and loved it. I dunno why. It is totally my jam for the time being. lost the wiki link, but here is the youtube link. "lil pants" :)
Had some Japanese song pass by and all the letters were vertically arranged (as is tradition), which made it impossible to find out what artist it was.
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[ 0.28 ms ] story [ 77.8 ms ] threadBut this is really cool! I've gotten some animal sounds, weather sounds, music, a small kid talking about a soccer match in Spanish, "evil laugh", political speeches in several languages, and a telephone ringing. only pressed skip a couple times for some really unpleasant noises
https://www.youtube.com/watch?v=FxcXVqgKd9c
WTF: That link landed me on something else after this comment that I am totally loving as well.
https://www.youtube.com/watch?v=qPu4XfWkRvc&list=OLAK5uy_kNl...
Never know what rabbit hole you'll find yourself in with HN. Bless y'all.
Had some Japanese song pass by and all the letters were vertically arranged (as is tradition), which made it impossible to find out what artist it was.
I assumed each "track" is an 5-minute audio summary (LLM+TTS) of a random text ARTICLE from Wikipedia.
Apparently I was mistaken and these are actually random MEDIA uploaded to Wikipedia.
Now I have an idea for a weekend project :)
EDIT:
https://commons.wikimedia.org/wiki/File:Philosophical_Razors...
Apparently it was not a summary but the full article: https://en.wikipedia.org/wiki/Philosophical_razor
EDIT2:
Index of all spoken articles on Wikipedia: https://en.wikipedia.org/wiki/Wikipedia:Spoken_articles
EDIT3:
Here is my 10-minute vibe-coded implementation of "Wikipedia Radio" for spoken articles (no LLM or TTS at runtime here) -- https://d3rfhwexohg7ag.cloudfront.net/wikipedia-radio.html