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8 mo. ago

  • If you're ever genuinely lost in the woods, stay put so a search party can find you easier. If you are going into the woods, it's helpful to prep so you don't get lost or get found fast. let someone know you're going somewhere remote beforehand so authorities know to come find you. A radio can also help both with letting authorities know you're lost, as well as with locating you via its signal. You can also now wear these special reflectors that help locate people under snow (many winter coats now come with them embedded on them). GPS are always very good to have, too.

    Learning to read a map and having the local one with you (USGS for US folks, non-US idk) is very powerful but easily messed up if you don't have practice. You can triangulate your exact position with a compass, map, and the local mountain peaks, which makes it much easier to know where you're going. A good practice of way finding is to always be walking towards a specific thing a few hundred yards out or less. So: You orient yourself with the stars, compass, or gps; decide which direction you want to go; pick a specific thing in the direction you want to go, that you can see a ways away; and walk to it - not towards it. to it, so you are standing next to it when you finish.Then, pick another object in the same direction and do it again.

    Of course, it's much easier if you generally know which way town is, it's also better to know the mountain peaks of your local terrain to orient yourself than the stars (the stars change throughout the year, the peaks don't), and a compass and map beats the hell out of stars and a GPS beats the hell out of a compass.

    Edit: I forgot some important ones, so I'm adding some details. I added more than just 'wait where you are' because it's likely in time that folks might have to flee into the woods and can't trust authorities to save them. These skills need to be known and practiced now before those situations begin occurring.

  • Would this not require us to only grow baby teeth?

    Maybe if a person's already had all their adult teeth removed, then you reactivate the gene instead of giving them dentures? Though, that means you might need all your teeth pulled if you lose some and want to regrow a new set. Perhaps you could get the gene applied in only a small area? Though, if a doctor fucks up they might start a new tooth regrowing right on a healthy tooth, and that might be bad. Also, what might this do to the regrower's jaw bone, since adult teeth embed into the jaw bone?

  • The Azov brigade... Is that different from the Azov Battalion - as in the portion of the Ukrainian military that was raising red flags for being known for only recruiting fascists? I had thought they majority died in Mariupol.

    My gut tells me to probably meet criticism from this guy with a healthy dose of skepticism. Obviously should still listen, since these criticisms do matter. I just don't know how much I trust where it's coming from.

    Edit: switched 'branch' to 'portion', since 'branch' is a more formal subdivision than I'm meaning.

  • Went ahead and looked up the original site and article in question: it's not worth it. This person exclusively holds a stance of "O RLY??? (arms crossed, eyebrow raised)" to anything after the ultraviolet catastrophe's resolution. They don't have any solutions to the questions science has been trying to resolve. They just want to call the scientific community a bunch of quacks. They're an anti-intellectual.

    If anyone wants to read the article and make their own comments, feel free. I will not be linking it because it does not deserve platforming, just like all the other unsubstantive ideas that die in darkness.

    EDIT: After also looking through the other articles, I do not in the slightest doubt that this article was AI slop. It reads like a bunch of summaries plucked out of Wikipedia. The other articles in question are: "AI Patent Assistance", "Framework for LLM-Assisted Innovation and Strategy", " Perceptron to Quantum AI", "Novel Approach to AI Benchmarking", " Unmasking AI Bias", and "Untapped Potential of Mobile AI". They also have a bunch more anti-intellectual drivel like " Physicists are Clueless", "Evolution Flaws and Solutions in Quantum Measurement", and " Exposing the Flaws of Conventional Scientific Wisdom".

  • You're stance is literally just anti-establishment with no original conjectures. You're discourse is worthless for furthering physics. Rather than propel the field forward, your dialog exists only to attack current progress and cause hesitation.

    If you actually came up with a single testable claim, even if immediately refuted by evidence, you still would have contributed more to scientific discourse than your rant did just now.

    Science is about finding the best answers for the questions we get from our observations about the world. We do not throw out these answers, no matter how bizarre and unwanted they may be, if they fit the evidence we have. We only seek better ones as we go.

  • That's a view from the perspective of utility, yeah. The downvotes here are likely also from a ethics standpoint, since most LLMs currently trained are doing so by using other peoples' work without permission, all while using large amounts of water for cooling, and energy from our mostly coal-powered grid. This is also not mentioning the physical and emotional labor that many untrained workers are required to do when sifting through the datasets of these LLMs, removing unsavory data for extremely low wages.

    A smaller, more specialized LLM could likely perform this same functionality with a much less training, on a more exclusive data set (probably only a couple of terabytes at its largest I'd wager), and would likely be small enough to run on most users' computers after training. That'd be the more ethical version of this use case.

  • I think it's important to also use the more specific term here: LLM. We've been creating AI automation for years for ourselves, the difference now is that software vendors are adding LLMs to the mix now.

    I've hear this argument before in other instances. Ghidra, for example, just had an LLM pipeline rigged up by LaurieWired to take care of the more tedious process of renaming various functions during reverse engineering. It's not the end of the analysis process during reverse engineering, it just takes out a large amount of busy work. I don't know about the use-case you described but it sounds similar. It also seems feasible that you could train an AI system on your own system (given you have enough reversed engineered programs) and then run it locally to do this kind of work, which is a far cry from the disturbingly large LLMs that are guzzling massive amounts of data and energy to learn and run.

    EDIT: To be clear, because LaurieWired's pipeline still relies on normal LLMs which are unethically trained, her pipeline using it is also unethical. It has the potential to be ethical, but currently is unethical.

  • It feels like your making a semantic argument to downplay how tight grip these softwares have on their respective industry markets.

    If you are only ever considered for a job if you have Photoshop experience, and that is the normal treatment across the majority of the industry, that's a standard that the industry is now holding you to - an industry standard if you will. It does not need to be backed by a governing body for it to still count.

    My current understanding is that you will not get a job at a major CGI company by knowing Blender (though the film 'Flow' shows that might change going forward). You have to know softwares like Houdini, 3ds Max, Maya, etc..., if you want to be treated seriously.

  • That entire solution immediately falls apart when the paradigm is patented by the vendor, who immediately sues any competing software using UI elements even vaguely similar to theirs. This has been going on for decades, and the three things that usually happen are that the competitor either gets bought up, sued out of existence, or has to keep their UI different enough that there is little-to-no bleedover between the userbases (and usually starves to death from too little revenue).

  • There is a practice where software companies will either provide their software to schools and colleges for free or will pay schools and colleges to use their software. This leads to the students using this software, learning that software's sole paradigm, and essentially forces them to use that software going forward because of how difficult it is to shift to another software with a different paradigm. This is Vendor Lock-In. The vendor locks you into their software.

    This leads to all future workers being trained in that software, so of course businesses opt to use that software instead of retraining the employee in another. This contrasts with the idea of what an 'industry standard' is. The name suggests that it's used in the industry because it's better than other software, but in reality it's just standard because of lock-in.

    This is how Windows cornered the operating system market - by partnering with vendors to ship their systems with Windows pre-installed.

  • Something that deteriorates the structural integrity of load-bearing frameworks /s.

    Being serious, it's another programming languages that is gaining popularity. Others can expand on why it's good. I've never used it myself so I can't comment in good faith. I also don't have any experience with Rust-bros so I can't comment on their code quality. I've mostly just been watching amused as they fight with the Linux development community.