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I thought hn has an intelligent and well informed crowd. ok I get it that engineers are not scientist but judging from the responses here it's quite staggering

I thought hn has an intelligent and well informed crowd. ok I get it that engineers are not scientist but judging from the responses here it's quite staggering to me how clueless some ppl are here.. do yourself a favour and maybe learn a bit about ml before forming an opinion. massaging JavaScript for a living is cool I guess but maybe there's a reason faang is paying 5-10x your salaries to ml researchers. maybe just maybe it's not just hype but billions and billions of dollars worth of innovation potential. it's quite clear to me that a lot of cs ppl are super bitter that they are not the top paid ppl anymore but supply and demand dictates these things and turns out inventing the latest transformer architecture is more valuable (and factors of magnitude less ppl can do it) than writing trivial front end or backend stuff..

laquition 6y ago
Basic programming is quickly becoming antiquated and articles like this, and many of the commenters are stuck in the past. The efficiency of ML is in cost, not overall computation. Throwing machine resources at a problem is cheaper than hiring some guru with the necessary math and CS background to solve the problem. We've seen the same thing with frameworks/libraries. Before it took specialized knowledge to do basic things like networking, media creation, etc. in code. Now there are existing tools that do everything for you. The same has happened with optimization/algorithmic knowledge, and the genie is not going back in the bottle. There will definitely be specialized cases where that particular expertise is needed, but that is no longer the norm.