Yeah that was all technobabble for me
I didn’t get any of that
Caveman is where I’m at
She basically said the bit system for representing numbers has limitations as numbers get smaller because the decimal places can keep extending and code ultimately needs a way to handle that. Different companies have created various solutions to the problem over the years, each with varying levels of precision (how many decimal places). Her point was that the volume fades force computers to do these calculations with lots of decimal places which can heavily tax the CPU. At the very end she shows two scenarios with different settings enabled and the cpu usage difference is wild.
I see the “floating point” term used in promo materials but never understood what it meant, only that it was desirable. I did a little reading on Wiki about it and it started to make sense, but I definitely need to revisit it.
tldr or tldw = computer math has more going on than you might think, and something that seems simple (like volume fades) can get tricky in ways you wouldn’t expect.
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