__ralston3

Personally I thought it was meh. Just seemed to be a lot of the same: convenience-friendly data-hungry services masked with baby pictures and "family" sentiment.

I did enjoy hearing about how they have mini-ML models on each device, feeding data back to a master learner, which in turn sends updates back to the device.

Given that a smartphone uses apps, and these apps are distributed via app stores, and further these apps run in the cloud (i.e., costly data centers that tend to be ran by companies with money and resources).

Are all of these components interdependent? Basically, do smartphones lead to centralization of technology/resources (not smartphones in and of themselves, but given their current implementation)

I'm a self-taught dev with a solid understanding of a broad scope of CS topics. However, I've recently learned that some companies filter during the interview process for CS-grads only by asking topics that specific to CS in school, but aren't necessarily learned in the wild. A good thread example is the one from yesterday about DP problems[1].

So what are some CS topics/concepts that are covered in school, but aren't learned necessarily as an Engineer at work.

1. https://news.ycombinator.com/item?id=19396042