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Joined 2 years ago
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Cake day: June 21st, 2023

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  • Back in August '22, I weighed about 270 lbs @ 6’0 (122.5 kg, 183 cm). I realized this was dangerously unhealthy so I asked my doctor if there was any drug options for helping me change habits. As my insurance didn’t cover weight loss, the doc opted for Phentermine. It drastically cut my food cravings and with exercise I’ve been losing weight steadily since. Down to 215 lbs now and the physical benefits are great: no more constant GIRD, can bend over without discomfort, etc.

    It is funny though, just finally barely breaking the obese barrier (30 bmi) and people say “and you still want to lose more weight??” My goal is 180.

    Edit: As an aside, how fucked is it that insurance companies don’t cover weight loss; wouldn’t covering it reduce their costs over time?








  • For the purposes of OPs problem (P v NP), it considers not particular solutions, but general algorithmic approaches. Thus, we consider things as either Hard (exponential time, by size of input), or Easy (only polynomial time, by size of input).

    A number of important problems fall into this general class of Hard problems: Sudoku, Traveling Salesman, Bin Packing, etc. These all have initial setups where solving them takes exponential time.

    On the other hand, as an example of an easy problem, consider sorting a list of numbers. It’s really easy to determine if a lost is sorted, and it’s always relatively fast/easy to sort the list, no matter what setup it had initially.


  • Coincidentally, I do work on embedded devices, but as mentioned by ferret, most embedded stuff nowadays is (I think?) an Arm variant. Most all of the device code I write is C++ though; no need to get into assembly land unless clang screws something up, but that hasn’t happened yet thankfully. That said, in the future, this may change as we optimize certain imaging algorithms further.