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Joined 2 years ago
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Cake day: July 16th, 2023

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  • When you get to the informing policy stage, much “harder” sciences like pharmacology also get the same treatment of using completely disproven crap to inform drug policy. If you look hard enough, you can almost always find a study that agrees with your wildest biases and a PhD (often even in “good standing”) who stands behind it and agrees with you.

    That there are 500 papers that find the exact opposite of your conclusion is not much of an issue when you’re acting in bad faith and have a friendly media outlet to voice your views


  • It’s a technicality about the pointer type. You can cast the type away which typically doesn’t change the actual value (but I’m pretty sure that causes undefined behavior)

    For your example, int x = 0xDEADBEEF; signifies the integer -559038737 (at least on x86.)

    char *p = (char*)0xDEADBEEF; on the other hand may or may not point to the real memory address 0xDEADBEEF, depending on factors like if the processor is using virtual or real addressing, etc


  • Lots of em-dash usage

    Service goes down after emitting an event but before persisting internal state—causing partial failures that are hard to roll back.
    Subscribe to an existing event and start processing—no changes to publishers.
    Helps track a request across multiple services—even through async events.
    We once had a refund service consume OrderCancelled events—but due to a config typo, it ignored 15% of messages.
    Takeaway: fire-and-forget works—until someone forgets to monitor.
    Use it when the domain fits—fan-out use cases, audit logs, or workflows where latency isn’t critical.

    combined with other chatgpt-isms like the heavy reliance on lists, yeah safe to say it’s mostly AI generated



  • My major version updates on 2 computers with linux mint in the past few years have been just one click, wait, reboot when prompted, everything works and you barely even notice that anything changed. Though maybe I’ve just been lucky

    though the rest of the video’s takes on the linux experience for new users seems pretty accurate to me (lol downloading an application and using it requires at least a manual chmod +x and that’s the best case scenario. Maybe there’s a distro that has a solution but I have doubts (and “have everything you could possibly need in the package manager” is obviously a nonstarter))

    But the community parts seem odd to me:

    Is “just disable secure boot” a bad take? Has someone been holding everyone out on a better solution?

    and

    The only way linux is going to change is when money and development power is given to major dekstop Linux projects. It’s time to stop wasting time on customization or packaging

    is just… sure, herd all the cats into one place, make them all work together in harmony, and summon 500 million dollars out of thin air to wrap it all together. Instead of writing bash scripts everyone should be praying to gabe newell to save us lol



  • sus@programming.devtoScience Memes@mander.xyzPolar bears
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    21 days ago

    I haven’t heard of .500 blackout before, and google gives conflicting info on whether it’s “necked down .338 lapua magnum” or “like .510 whisper”

    polar bears have historically been felled with “panicked shooting with ar-15”, and the “standard recommendation” seems to be “magnum rifle round”





  • I think this is talking about basic functionality, eg. can you do basic stuff with a clean install without everything immediately breaking

    There’s a lot of programming tools that are primarily developed for and on linux, and “windows support” is an afterthought which will result in linux being a very frictionless experience but windows being a minefield of problems and requiring careful manual setup




  • I actually kind of looked at (jpeg) compression artifacts, and it’s indeed true to the extent that if you compress the image bad enough, it eventually makes it impossible to determine if the color was originally flat or not.

    (eg. gif and dithering is a different matter, but it’s very rare these days and you can distinguish it from the “AI noise” by noticing that dithering forms “regular” patterns while “AI noise” is random)

    Though from a few tests I did, compression only adds noise to comic style images near “complex geometry”, while removing noise in flat areas. This tracks with my rudimentary understanding of the discrete cosine tranform jpeg uses*, so any comic with a significantly large flat area is detectable as AI based on this method, assuming the compression quality setting is not unreasonably low

    *(which should basically be a variant of the fourier transform)

    I recreated most of the comic image by hand (using basic line and circle drawing tools, ha) and applied heavy compression. The flat areas remain perfectly flat (as you’d expect as a flat color is easier to compress)

    But the AI image reveals a gradient that is invisible to the human eye (incidentally, the original comic does appear heavily jpeg’d, to the point I suspect it could actually be chatgpt adding artificial “fake compression artifacts” by mistake)

    there’s also weird “painting” behind the texts which serves no purpose (and why would a human paint almost indistinguishable white on white for no reason?)

    the new ai generated comic has less compression, so the noise is much more obvious. There’s still a lot of compression artifacts, but I think those artifacts are there because of the noise, as noise is almost by definition impossible to compress


  • The thing missing here is that usually when you do texture, you want to make it visible. The AI ‘watercolor’ is usually extremely subtle, only affecting the 1-2 least significant bits of the color, to the point even with a massive contrast increase it’s hard to notice, and usually it varies pixel by pixel like I guess “white noise” instead of on a larger scale like you’d expect from watercolor

    (it also affects the black lines, which starts being really odd)

    I guess it isn’t really a 100% proof, but it’s at least 99% as I can’t find a presumed-human made comic that has it, yet every single “looks like AI” comic seems to have it


  • I also noticed how it suddenly went from great to crap.

    But the real reason I think is ironically AI. It used to be that you could easily crawl the web, but after the AI craze, images suddenly became valuable to crawl and every website gets bombarded by scrapers, and are adding more and more countermeasures to make it more difficult, so tineye’s own image scraper probably can’t compete with them and so can’t find any new images


  • I agree that the “arm things” are wrong, as it’s pretty clearly just an ‘artistic choice’ that a human could very much do.

    But that said these images are 100% provable to be AI. If you haven’t built up the intuition that immediately tells you it’s AI (it’s fair, most people don’t have unlimited time for looking at AI images), these still have the trademark “subtle texture in flat colors” that basically never shows up in human-made digital art. The blacks aren’t actually perfectly black, but have random noise, and the background color isn’t perfectly uniform, but has random noise.

    This is not visible to the human eye but it can be detected with tools, and it’s an artifact caused by how (I believe diffusion) models work


    1. They claim to respect privacy and - to date - have done nothing to suggest that they don’t.

    If you ignore all the fast and loose they play with privacy, sure, there is “nothing to suggest” they don’t respect it.

    IT’S OPTIONAL (there goes the “aggressive push” bit)

    It’s not an aggressive push if you ignore the part where they repeatedly use the foot in the door technique where they first promise they won’t do something, and then later do it anyways.

    They claim it is optional but they just shove a pop-up in your face about AI, while misleading you about how it works. This is about 1 step away from how most companies “allow” you to “preserve your privacy” by carefully clicking “no” to a long list of popups suggesting you give them cookies and share your emails etc.

    This may be easy to dismiss as “problem between keyboard and chair” but when it predictably leads to many users thinking it’s off but being surprised when they find it turned on without them realizing it it’s not much consolation

    NOTHING EXCEPT FOR THE PROMPT IS SENT TO MISTRAL (there goes the “reads all emails” bit)

    How do you figure that works? The server somehow corrects your spelling mistakes without reading the email containing the spelling mistake? Again, End-to-end encryption is a core advertised feature of protonmail, and this completely sidesteps it while actively misleading users into thinking it doesn’t


  • Sure you can look at it as just a bit of politicking (if a poorly thought out one), but it’s really just the tip of the iceberg. Proton hasn’t done anything that clearly crosses an unacceptable line, but they’ve made a lot of other highly questionable decisions in a relatively short timespan

    oh, actually now that I looked it up closer, starting about 9 months ago they did a foot in the door manuever (a survey with leading questions followed up by misrepresenting the results) and then aggressively pushed an AI service that, you guessed it, tries to read all the emails you write and receive, totally undermining the end-to-end encryption. (the claim is it works locally, but most users have their data processed on the proton servers unencrypted)
    And the way they did it is straight out of the enshittification playbook where they first promise that it’s “business only” and then later try to push it to all users, and claiming it’s off by default while it’s actually on by default

    https://pivot-to-ai.com/2024/07/18/proton-mail-goes-ai-security-focused-userbase-goes-what-on-earth/

    (this article only covers the early portion of the debacle)

    this isn’t even all the problems with proton either, though all the other things are pretty minor by comparison (eg. quitting mastodon “because it’s too expensive to maintain” (?))