Hacker News Reader

Comment by andreyk | Hacker News Reader

There is a rough (AI generated) transcript here: https://app.trint.com/public/7ad490c6-bf70-41ea-bb43-24c3264...

We hope to produce polished transcripts in the future, but have yet to figure out the best way.

A quick summary is:

* First ~15 minutes is intro + discussion of Yann's early days of research in the 80s

* Minutes 15-~45 cover several notable recent works in self-supervised learning for computer vision (including SimCLR, SWAV, SEER, simsiam, barlow twins).

* Final ~15 minutes are discussion of empirical vs theoretical research in AI, how AI is used at Facebook, and whether there will be another AI winter.

View on HN

I've heard great things about Descript. It's not free (aside from a limited trial), but apparently it makes it really easy to get good transcripts, and also allows you to clean up the audio as well.

Thanks for that. It's hard to make out acronyms like "SWAV" or "SEER" from the audio, if you're not already familiar with them.

Good point! We should link to the papers discusses in the description at least, did not think of that.

The best way is to have someone listen to the audio and type it out.

True, I should say the best way that does not involve us transcribing it by ourselves. In any case, we'll work on this!

I wonder if you could post the transcript to a git repo and allow corrections via pull request. Auto-captioning is a great first step to get phrases set to time-codes, and then open it up to the community for corrections and translations.

accepting PRs would have the downside of generating additional work for maintainers of the repo to review PRs.

Still, it beats paying by the minute to actually hire someone.

ASR works pretty well these days

Not as well as I would have expected tbh - see the trint link above, it's pretty good but there are lots of errors, so correcting it is quite time consuming.

Reply on news.ycombinator.com