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jordanbtoday at 2:24 PM4 repliesview on HN

It's the bitter-lesson to feature-engineering lifecycle.

When a technique or technology is new people are making massive gains by just applying it to some use case, or gathering more data for training, or giving it more resources.

As time goes on those "bitter lesson" gains start to hit the shallow part of the logistic curve and companies have to start investing more and more effort into engineering for each small, incremental gain.


Replies

sdenton4today at 4:29 PM

I got a very different message from this, actually much closer to the problem of incumbent advantage.

The known-good thing has been heavily optimized for performance, making it much harder for new technologies to prove that they are better. This is similar to the problem of gas vs electric engines - we had a century of optimization and ecosystem development around gas engines, which creates an uphill battle for electric motors even though they are (eventually) superior on every way /except/ having that massive ecosystem.

The problem isn't as bad here, because software is much more flexible than hardware, and scaling laws give a reasonable way to try things out at smaller scale before going whole hog.

pezo1919today at 3:14 PM

Well put, thanks.

vjvjvjvjghvtoday at 2:49 PM

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