Someone on a Zoom call said a URL yesterday. I was still writing down the previous bullet point. By the time I looked up, they had moved on. I mute...
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on-device only until you hit cmd+s is the right default. curious what happens to the buffer if the source app switches audio devices mid call, like bluetooth headphones dropping to the mac speaker. does the coreaudio tap survive that or does it just lose the last 30 seconds
It still survives it can have multiple audio sources connected if you want that
the notarization step is always the surprise tax on these things. works perfectly on your machine then gatekeeper eats it for everyone else. are you doing the signing/updater plumbing solo or leaning on something like Sparkle from day one
Agreeed I am actually stuck on this parttt
This is such a great idea.
All the best for further versions of this.
Thanks
The mute-type-wait ritual is the perfect origin story because it is a latency problem wearing a comprehension problem's clothes: the information existed, just thirty seconds too late and only after you interrupted yourself to ask. A menu bar that holds the last few utterances solves the real thing, which is that meetings are streams and note-taking is a lossy sampler. The best tools come from scratching the itch you hit every day, and "the URL was already gone by the time I looked up" is about as daily as it gets.
Thank you🙌
That’s a great idea, bro! I actually had the idea of making a live caption app for macOS before, but running a local AI model was a bit tricky, so I ended up dropping it 😄😄
Actually whisper is a very light model and too accurate too
Yeah, exactly. Whisper is very accurate, but it wasn't really designed for streaming inference. I also tried a few streaming models through sherpa-onnx, but I couldn't optimize them
Ohh got it
That’s a really great idea! I think this approach could definitely make the process much more interesting and convenient. I love when new ideas and opportunities come up to improve something or try a different approach.
Thank you soo much
Great breakdown! Especially appreciate the clear architecture explanation and practical on-device design decisions. Thanks for writing this!
Thank You for reading 🙌