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Joined 2 years ago
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Cake day: June 19th, 2023

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  • One of the KPIs for IBM engineers used to be kLOCs or “1000 lines of code”. This encouraged the engineers to write more complicated, obfuscated, inefficient code.

    If you cleaned up your code to be more efficient, you were penalised.

    While this doesn’t make sense to developers and users, it does make sense to hardware sales staff. The crappier a program runs on the existing hardware, the more incentivised customers are to buy new hardware.

    My argument is that by adding technologies branded as “AI” to software platforms that inefficiently consume system resources, software developers don’t actually add anything to the platform. It is just a way for manufacturers to create more eWaste through forced obsolescence.










  • They all do. Google search is one big primitive Digital Assistant. Apple’s Siri is less functional than its predecessor Voice Control. Amazon’s product recommendation algorithm and Alexa are also successful digital assistants.

    Meanwhile the YouTube algorithm, Netflix, and Metas recommendations are notoriously frustrating, pumping out irrelevant recommendations and obfuscating constant that you actually want to consume.

    Microsoft haven’t had any effective Digital Assistants to date and must they feel like they are being left behind. Their attempts to emulate successful product from other companies are either unnoticeably irrelevant or laughably bad. Even the terrible content recommendations of Netflix and YouTube keep people hooked.