I once worked with someone who was doing performance benchmarking of two systems, and made a duel axis chart with the lines right on top of eachother when in fact one system was like 5x faster than the other. it drove me nuts because I didn't even realize the dual axis at first and thought that they literally had identical performance
Yah, the moment you see/make a dual-axis line plot, you know you're comparing relative change. The whole point is to effectively normalize for absolute value.
So yah, anyone arguing primarily on the basis of absolute value on these plots is likely pulling a fast one.
most of it's just general programming niceness. If you have to spend a few hours to wrestle with make/bazel/etc every time you need to reach for a dependency, you don't depend on things and have to rewrite them yourself. If your programming language doesn't have good ways of writing generic code, you either have to write the code once per precision (and do all your bugfixes/perf improvements in triplicate) or do very hacky metaprogramming where you use Python to generate your low level code (yes the Fortran people actually do this https://github.com/aradi/fypp), or use the C preprocesser which is even worse.
I would be interested to know exactly which video of Robert Greene's this is. Just finished reading Mastery this morning. Great author and thinker. He is very in tune with human nature and instinct.
Mediocre engineers send in their resume. Good engineers network to find a connection in the company. Great engineers constantly have people banging on their door asking to work with them.
10x engineers: get hired by FAANG for "dev relations" projects that eventually get sunsetted
100x engineers: are unapproachable except through their OnlyFans accounts and their anonymous P.O. box where companies can send speculative gifts and offerings
> Bringing these components together, we are able to build pure CNN architectures without any attention-like operations that are as robust as, or even more robust than, Transformers.
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