508 karma · joined July 4, 2018
I mean computer scientists really do like to pretend like they invented the whole field. Whereas in reality the average OS, compilers, networks class has nothing to do with core ML. But of course are also important and these barbs dont get us anywhere.
Although all of this is from a production lens. For personal use, honestly nothing is as easy to use as Whisper (even works on a laptop).
Even when solving problems in the real world, nobody sits in a dark room until moment of genius strikes. We always try some tactics others have tried and only then innovate.
I hate meetings without agenda. Honestly send me a message and I'll make sure I reply. Meetings with written agenda are great.
This isn't true. On benchmarks whisper is not SOTA. It is said to be noise resistant but it doesn't compare well with Conformer based architectures ever on Librispeech mixed. Definitely not perfect, and it doesn't work for medical transcription.
But does it matter ? I think the only metric with optimising for is latency. Other stuff is something we do.
Trying to explain this to a team is one of the most frustrating things ever. Most of the time people pick / reject tools because of "feels".
On a related note, I never understood the hype around GraphQL for example.
Also wtf is inverting a binary tree ? Like doing a "bottom-view". That shit is easy.