Sort of, but not entirely: - As Papers without Code website presented: many algorithms in papers are manually super-optimized to perform state-of-the-art on be

Sort of, but not entirely: - As Papers without Code website presented: many algorithms in papers are manually super-optimized to perform state-of-the-art on benchmarks - Much of ML work outside of top academia and FAANG lacks rigour or doesn't compare results with "dumb" baselines. - Many companies (e.g. Google, FB) have not devised a proper recourse procedure for mistakes their "AI" policing bots make (and WILL always make). However: - Weren't it for commercialization of ML, we would not have ML accelerators of some sort in almost all modern hardware.