I am several hundred opossums in a trench coat

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Joined 1 year ago
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Cake day: July 1st, 2023

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  • Not every change is going to completely overhaul the app. More than likely, the changes are a fix to some obscure bug not caught in testing that only affects a small percentage of devices. Just because you don’t encounter it with your workflow and device doesn’t mean it isn’t a critical bug preventing someone from using the app. It could also be a new feature targeting a different use case to yours. It could even be as simple as bringing the app into compliance with new platform requirements or government regulations (which can happen a couple times a year, for example Android often bumps the minimum SDK target such that apps are forced to comply with new privacy improvements).







  • After a certain point, learning to code (in the context of application development) becomes less about the lines of code themselves and more about structure and design. In my experience, LLMs can spit out well formatted and reasonably functional short code snippets, with the caveate that it sometimes misunderstands you or if you’re writing ui code, makes very strange decisions (since it has no special/visual reasoning).

    Anyone a year or two of practice can write mostly clean code like an LLM. But most codebases are longer than 100 lines long, and your job is to structure that program and introduce patterns to make it maintainable. LLMs can’t do that, and only you can (and you can’t skip learning to code to just get on to architecture and patterns)






  • How much computing power do you think it takes to approximately recognise a predefined word or phrase? They do that locally, on device, and then stream whatever audio follows to more powerful computers in AWS (the cloud). To get ahead of whatever conspiratorial crap you’re about to say next, Alexa devices are not powerful enough to transcribe arbitrary speech.

    Again, to repeat, people smarter than you and me have analysed the network traffic from Alexa devices and independently verified that it is not streaming audio (or transcripts) unless it has heard something close (i.e close enough such that the fairly primative audio processing (which is primitive because it’s cheap, not for conspiracy reasons) recognises it) to the wake word. I have also observed this, albeit with less rigorous methodology. You can check this yourself, why don’t you do that and verify for yourself whether this conspiracy holds up?






  • Can you explain to me exactly how moving where profit is recorded from one division to another in the same organization reduces their tax burden? Because, excuse me, I know I only did a year or two of accounting courses before dropping the degree, but that’s not how I understand taxes to work.

    Also to be turning a profit by “doing well collecting data”, the open market value of the data Alexa alone annually generates would need to be around 8% of the entire global data market. If you can justify how millions of instances of “Alexa set a timer for 10 minutes”, “Alexa what is the weather”, or “Alexa play despacito” generates that much value, maybe you have a point.