This is obviously, hilariously untrue when Amazon produces hundreds of billions of dollars of profit every year: https://finance.yahoo.com/quote/AMZN/financials/
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This is obviously, hilariously untrue when Amazon produces hundreds of billions of dollars of profit every year: https://finance.yahoo.com/quote/AMZN/financials/
It's two of these 4-note step sequencers with some fun timing randomness. Similar to the OP's synth it uses knobs to set pitches but the knobs are picking notes from a specific key so they always sound good together. It's a lot of fun to play and doesn't require any musical knowledge!
> But the good news doesn’t stop there. We also get higher wages. This is because, at the level of the individual worker, the marketplace sets compensation as a function of the marginal productivity of the worker. A worker in a technology-infused business will be more productive than a worker in a traditional business. The employer will either pay that worker more money as he is now more productive, or another employer will, purely out of self interest. The result is that technology introduced into an industry generally not only increases the number of jobs in the industry but also raises wages.
and later
> As it happens, this was a central claim of Marxism, that the owners of the means of production – the bourgeoisie – would inevitably steal all societal wealth from the people who do the actual work – the proletariat. This is another fallacy that simply will not die no matter how often it’s disproved by reality. But let’s drive a stake through its heart anyway.
He's just lying! There's no evidence to support this at all in the modern US economy. The gains in wealth from automation over the last 50 years have almost _exclusively_ gone to the owners of the means of production. The median US household income went up less than 20% between 1983 and 2016 while the 95th percentile more than doubled.[0] This is just VC pump-and-dump nonsense pure and simple; it seems incredibly likely that any financial gains from AI making workers more productive will flow directly to the same people who have been reaping all of the gains from our increased productivity: Andreesen and his billionaire colleagues.
[0] https://www.pewresearch.org/social-trends/2020/01/09/trends-...
FWIW Cycles is definitely slower on my M2 than it was on my 3080 but it's not a huge difference -- maybe 20% slower? I still have to let the render run overnight either way haha.
They’re extremely new (2.92 I think) so the framework is there but there aren’t many nodes yet; 2.93 introduced a whole bunch of new nodes though.
Adobe Media Encoder (and by extension Premiere and AE) can do multi-GPU rendering as well, which starts to matter when you have huge comps. I've worked with 2D animators who need to turn around footage really quickly and a bunch of them are on multi-GPU rigs.
This is the luminosity of that mapped to grayscale. You can see why it might be difficult for colorblind people to read: https://i.imgur.com/Pyxt1NR.png
Performance is only part of the problem, and what it prevents is more-precise floats (or unums or decimal floats or whatever). The other part of the problem is that we want computers with a finite amount of memory to represent numbers that are mathematically impossible to fit in that memory, so we have to work with approximations. IEEE-754 is a really fast approximator that does a good job of covering the reals with integers at magnitudes that people tend to use, so it's longevity makes sense to me.