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Do you think a lot of that is scaling pain... like what if they're making cuts to the more expensive reasoning layers to gain more scale. Seems more plausible
by taf2 3y ago
Do you think a lot of that is scaling pain... like what if they're making cuts to the more expensive reasoning layers to gain more scale. Seems more plausible to me that the teams keeping the lights on have been doing optimization work to save cost and improve speed. The result during those optimizations might not be immediately obvious to the team and then they push deploy and only through anecdotal evidence such as yours can they determine the result of their clever optimization resulted in a deteriorated user experience... I mean think about doing a UI update that improves site performance but has the side effect of making the site appear to load slower because the transition effects are removed... Just my 2 cents trying to think more like their are humans supporting that thing that grew at a crazy speed to 100 million users.
- sdwr 3y agoYeah that's my assumption too. Flat rate subscription, black box model, easy to start really impressive then chip away at computation used over time. In my experience, it's been a mixed bag - had 1 instance recently where it refused to do a bunch of repetitive code, another case where it was willing to tackle a medium complexity problem.