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Joined 1 year ago
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Cake day: August 10th, 2023

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  • The idea is that you are not actually drunk but in some upset condition because of an emergency. And that condition might trigger the anti-drunk mechanism. A breathalyzer might work, but the drunk drive can always get someone else to breath into it. Also not sure how much calibration such device needs, can it last for a few months in a cold/hot car and still work correctly?

    Once you want something to validate the breathalyzer (to avoid asking your child to start your car for you while you are drunk) it get complicated and more error prone.


  • In 2021… The law requires a technology safety standard by November 2024 if the technology is ready.

    Still, NHTSA must be assured the technology works before it can require it, and then give automakers at least three years to implement it once it finalizes rules.

    “If it’s [only] 99.9% accurate, you could have a million false positives,” Carlson said. “Those false positives could be somebody trying to get to the hospital for an emergency.”

    The article title is too much optimistic, not going to happen in the next few years



  • It all depends on the implementation and need.

    In-memory structures are usually faster to work with, but harder to coordinate multiple updates from multiple sources (different applications, services, etc).

    Databases have all sort of failsafe mechanisms to ensure data integrity and recovery options, in most times there is no need to reinvent it all over again.

    Persistent - do you need to access the data again once your program was finished? How often does the data change by other programs/tasks once you read it? How big is your data and how complex are the connections between your data objects?

    Many times the implementation is a mixed approach. It is better to know and calculate the needs before you start your project, but as it usually happen, once you get performance issues, you start optimizing adding in-memory cache or scale to a bigger database.