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 I think this is how we win: by building a better product.

Look at this web app; it utilizes the cutting-edge Whisper API to turn recorded voice into text, and it's unbelievably accurate.

Then, it uses the latest GPT-4 model to summarize it. You can even choose the type of summarization output.


It means you can record your lecture, and it will turn it into text and then summarize it. This is a dream for every student.

I'm running it locally; all my APIs seem to be working. We can add Nostr login, Nostr for storing notes, and a 'publish to Nostr' feature, it maybe the new version of my Nostr Notes. 🤔

Yes, it uses some third-party APIs. Once DVMs are reliable, we can start using them.
https://www.recordergo.app/ 
 Imma use this for monday meetings at work. 🤣 
 I think it's closer to data-buffet than dvm ,I don't think I understand what I'm saying 
 Con: students may become lazier, refusing longer texts...

Pro: in my uni years, most lectures were voice + blackboard. No projectors / powerpoint, only those retro-projectors with transparent A4 plastic sheets put in the horizontal, with a mirror to project the light coming from below into the wall.
And before internet, the only books were the ones on the library. 

Today, with powerpoint + other softwares, classes may be much DENSER, more info/time. 
And with so much material available, it costs nothing for the professor to pick materials from various books, with different notations and conceptual setups - it may be confusing and/or require more reading to grasp stuff. 

So, a "condenser" may be an answer to cope with increased density and volume.