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8 months agoThis might be it. Depending on how the sound is mixed the voice might cancel itself out since it’s usually similar between left and right and the instruments are not. So they will not experience the same interference
This might be it. Depending on how the sound is mixed the voice might cancel itself out since it’s usually similar between left and right and the instruments are not. So they will not experience the same interference
Well that’s kinda worrying
Sooo what was the bug? That it didn’t randomise MACs when connecting?
I’m a big fan of Deep Rock Galactic so I’ve really enjoyed the survivor spin-off. DRG but as a top down vampire survivors inspired shooter
I like the point about LLMs interpolating data while humans extrapolate. I think that’s sums up a key difference in “learning”. It’s also an interesting point that we anthropomorphise ML models by using words such as learning or training, but I wonder if there are other better words to use. Fitting?
How does it solve the problem of dependencies without becoming bloated?