4 ms·
I’d go even a step further and say FAANG companies, despite what their tech blogs might argue, aren’t at all immune from making very dumb decisions or adopting
by spyspy 6y ago
I’d go even a step further and say FAANG companies, despite what their tech blogs might argue, aren’t at all immune from making very dumb decisions or adopting very silly practices. To follow those same ideas blindly could cripple your company.
- bombcar 6y agoIn fact - FAANG companies have the resources to make horribly inefficient processes work (in human time or computer time) - I suspect many of the AI powered things are examples of this - and a smaller company will die trying to get it to work.
- strken 6y agoI don't think ML-powered systems are inefficient[0], so much as they are incremental gains over the pre-existing system that are only justified by huge sales volumes. If you can get a 4% lift in sales by using a complicated ML model with 100k features instead of a handful of basic heuristics, then whether it's worth spending engineering effort on depends on what your sales are. [0] Inefficient in the sense that they're wasting money which could be easily reclaimed - they're probably going to be improved over time as the state of the art improves, but that relies on the whole field moving forward.
- QuesnayJr 6y agoI do some consulting, and one odd consequence of the rise of ML is that surprisingly many companies weren't even doing simple models.