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Cake day: December 6th, 2024

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  • This is mostly how I’ve been using my smartphone and tablet for years when it comes to computing (still use the smartphone as an actual phone) - when I’m out and about the smartphone is just a hotspot for when I have no free WiFi and I do most stuff on the tablet.

    The problem is that there are very few Linux tablets and they’re all on the large size (10"+) hence you can’t just carry them in your back pocket or coat pocket.

    So that means Android tablets, which means you’re still running Google’s eavesdropping OS.

    Further, more and more companies and even official institutions now push you to use their apps in Android. Just recently my bank decided to scrap their perfectly sane and secure secondary authentication mechanism (which was literally a plastic card with lots of codes and thus pretty much not hackable and whose weaknesses were entirelly known and consistent for all users) for mandatory installation of their Android banking app on people’s smartphones to use (I! Kid! You! Not!) the phone’s fingerprint and facial-recognition systems (thus being exposed to the weaknesses of who knows how many different HW and SW combinations).


  • A Finance company which has its production systems in the same network as worker computers which aren’t locked-down tight is basically amateur hour every hour of the day every day of the month every month of the year.

    You can never assume that workers won’t do stupid shit like downloading random software into their work computers even when its a fuckingly obvious bad idea for most people to do such stupid shit - it only takes one idiot, naive fool or even momentary distraction of somebody who should’ve known better to end up with your network hacked, so you always treat such devices as possibly contaminated.









  • True. If nobody else is told about it it’s not Libel.

    So they would have to stop that person not in public or very very discretely, only one person could be involved from their side (otherwise somebody would be telling somebody else) and the person stopped could simply refuse and walk away because if they called the authorities by telling them that person had stolen something, it would be Libel (or worse - I believe it’s also a crime to falsely report a crime).

    Ultimately, it boils down to had they witnessed it or not - had they seen it on camera then they did, had they just blindly relied on the AI flagging it without actually checking it, then they did not, and “the AI told us so” wouldn’t fly in Court if they didn’t cross-checked the AI system and it turned out they had made an accusation of a Crime against somebody to somebody else or the authorities without actually checking it.






  • You’re only thinking about the occupancy part of efficient use of available resources (and even then only partially) and forgetting all about the utility value part.

    RAM used 100% of the time is not more efficiently used than RAM used 10% of the time if it’s being used for activities that deliver much lower utility, something made even worse because using RAM consumes additional resources in the form of power hence running it isn’t actually free and you if the utility of it’s use is lower you might actually be destroying value by using that power for a much lower utility use than it could otherwise be used for.

    That’s the point others are making by pointing out that if that RAM is in data centers running AI 100% of the time it might actually be in use less efficiently than RAM used for multiple activities in people’s computers at home where it’s idle most of the time.

    Yours is basically the same fallacy as the one about how people working more hours per day means they’re producing more.

    “More use” is not the same as “more value created” because time is far from the only factor in determining how much value is created.

    PS: If you really dig down into the utility value for Mankind of most modern day computing you’ll find that a large fraction if not most of it is basically entertainment, gambling or some for addition and thus doesn’t produce actual economic value. For example, how exactly does social networking such as Facebook produce economic value for Mankind - it’s basically a mix of entertainment and an addiction that directly creates or help create nothing, and instead it mainly wastes people’s time. At best it could indirectly deliver value by improving worker efficiency in activities that actually create value because people were happier with Facebook than without it, but by all indication that’s not even the case as it’s creating epidemics of psychological and social problems especially amongst young people. Those things are extracting value rather than creating value, so the computer RAM running Facebook software is probably a net negative in value creation overall - it creates little or no value overall (it extracts value from some to others but doesn’t actually create any) whilst consuming power to run, and all of those factors put together might mean that in overall value creation terms that RAM being idle or even in the refuse bin would actually be better than being used for Facebook software.




  • My own experience of almost 2 decades as a Freelance senior software developer, mostly coming in to work on top of and even fixing existing codebases of large custom-made applications which were for years in Production in mainly large companies, which generally had layer on top of layer of different coding styles and even design approaches because multiple people worked in them each thinking “I know best” and doing their own thing instead to trying to work within the existing style, is that getting to the point of understanding it at all levels takes many months, and that’s even after one is experienced enough at it to have discovered shortcuts like learning and identifying the coding and design style of specific engineers and even their typical mistakes (people tend to be pretty consistent in the mistakes they make) as a way to accelerate understanding, detection of problems and figuring out were and how it’s safe to change code and design without it cascading to problems elsewhere.

    All this to say that picking up and fixing a real life system in Production which was mostly AI created and hence doesn’t even have the patterns for coding and design choices and mistakes that humans have, will take many months, maybe more than a year PER SYSTEM even for somebody who is senior and highly experience at it.

    So fixing the AI produced stuff will have giant costs which probably more than offset the savings at creation time from using AI.

    Now, some would say that you can just get the AI to regenerate the whole thing to fix it, however that has two problems:

    • You’re just replacing old known bugs with new and entirelly different bugs. Also any UI will change. Good luck selling such changes to the system they use daily to the business side.
    • In my 3 decades of experience in the Industry, clear, complete, detailed and unambigous Requirements and Interface Definition documents are as rare as hen’s teeth and without such things you can’t prompt the AI to make software that yields the same user functionality and talks with other systems correctly. So features will change or behave differently, if it’s good enough integration testing will fail in brand new and exciting ways, if it’s not good enough it will blow up in Production or, even more entertainingly, Production databases will be filled with broken data.

    So, yeah, full regen just at best moves the problems around and pisses users off.


  • Edit: My bad, misread what the previous poster wrote. The explanation is still valid, though.

    If you look at their historical price chart, what you call a “minor fluctuation” this is one if not the largest price changes in both absolute and relative terms of at least the last 5 years.

    Also the trading volume was the largest since 2016.

    Basically you’re looking at an elephant and calling it a mouse.

    It makes sense that a 12.6% stock price movement is a big thing for a company with that market cap and liquidity, since it has way less volatility that smaller companies because it takes way more money to move its price a mere 1%, plus the high liquidity means that the trading stack is far deeper and it’s way harder for there to be a crunch because you can always find people willing to buy if the price falls enough (or, on the other direction, willing to sell if the price rises enough).

    This ain’t Joe’s Corner Shop Inc.

    That said, the price is still above a year ago, though by a mere 0.83%, so whilst this is a big price movement, it’s far from having unwound the AI bubble stock price rise for Google - looking at its full historical price chart and roughly projecting the historical trend to present day, Alphabet stock price would have to fall around 50% more to return to historical trend and that’s assuming that without the AI bubble it would have continued to go up as before rather than reduce to the typical growth rates of mature companies.