GamingChairModel

@GamingChairModel@lemmy.world

• ⁨Comment⁩ on ⁨lemm.ee is shutting down at the end of this month⁩ ⁨⁨10⁩ ⁨hours⁩ ago⁩:

  I’m not sure that would work. Admins need to manage their instance users, yes, but they also need to look out for the posts and comments in the communities hosted on their instance, and be one level of appeal above the mods of those communities. Including the ability to actually delete content hosted in those communities, or cached media on their own servers, in response to legal obligations.

• ⁨Comment⁩ on ⁨AI company files for bankruptcy after being exposed as 700 Indian engineers - Dexerto⁩ ⁨⁨1⁩ ⁨day⁩ ago⁩:

  Yes, it’s the exact same practice.

  The main difference, though, is that Amazon as a company doesn’t rely on this “just walk out” business in a capacity that is relevant to the overall financial situation of the company. So Amazon churns along, while that one insignificant business unit gets quietly shut down.

  For this company in this post, though, they don’t have a trillion dollar business subsidizing the losses from this AI scheme.

• ⁨Comment⁩ on ⁨It’s Time To Go Back to Web 1.0⁩ ⁨⁨6⁩ ⁨days⁩ ago⁩:

  Yeah, from what I remember of what Web 2.0 was, it was services that could be interactive in the browser window, without loading a whole new page each time the user submitted information through HTTP POST. “Ajax” was a hot buzzword among web/tech companies.

  Flickr was mind blowing in that you could edit photo captions and titles without navigating away from the page. Gmail could refresh the inbox without reloading the sidebar. Google maps was impressive in that you could drag the map around and zoom within the window, while it fetched the graphical elements necessary on demand.

  Or maybe web 2.0 included the ability to implement states in the stateless HTTP protocol. You could log into a page and it would only show you the new/unread items for you personally, rather than showing literally every visitor the exact same thing for the exact same URL.

  Social networking became possible with Web 2.0 technologies, but I wouldn’t define Web 2.0 as inherently social. User interactions with a service was the core, and whether the service connected user to user through that service’s design was kinda beside the point.

• ⁨Comment⁩ on ⁨AI model collapse is not what we paid for⁩ ⁨⁨1⁩ ⁨week⁩ ago⁩:

  That’s never really been true. It’s a cat and mouse game.

  If Google actually used its 2015 or 2005 algorithms as written, but on a 2025 index of webpages, that ranking system would be dogshit because the spammers have already figured out how to crowd out the actual quality pages with their own manipulated results.

  Tricking the 2015 engine using 2025 SEO techniques is easy. The problem is that Google hasn’t actually been on the winning side of properly ranking quality for maybe 5-10 years, and quietly outsourced the search ranking systems to the ranking systems of the big user sites: Pinterest, Quora, Stack Overflow, Reddit, even Twitter to some degree. If there’s a responsive result and it ranks highly on those user voted sites, then it’s probably a good result. And they got away with switching to that methodology just long enough for each of those services to drown in their own SEO spam techniques, so that those services are all much worse than they were in 2015. And now indexing search based on those sites is no longer a good search result.

  There’s no turning backwards. We need to adopt new rankings for the new reality, not try to turn back to when we were able to get good results.

• ⁨Comment⁩ on ⁨Realtek's $10 tiny 10GbE network adapter is coming to motherboards later this year⁩ ⁨⁨1⁩ ⁨week⁩ ago⁩:

  My gigabit connection is good enough for my NAS, as the read speeds on the hard drive itself tend to be limited to about a gigabit/s anyway. But I could see some kind of SSD NAS benefiting from a faster LAN connection.

• ⁨Comment⁩ on ⁨Tesla Full-Self Driving Veers Off Road, Hits Tree, and Flips Car for No Obvious Reason (No Serious Injuries, but Scary)⁩ ⁨⁨1⁩ ⁨week⁩ ago⁩:

  All the other answers here are wrong. It was the Boeing 737-Max.

  They fit bigger, more fuel efficient engines on it that changed the flight characteristics, compared to previous 737s. And so rather than have pilots recertify on this as a new model (lots of flight hours, can’t switch back), they designed software to basically make the aircraft seem to behave like the old model.

  And so a bug in the cheaper version of the software, combined with a faulty sensor, would cause the software to take over and try to override the pilots and dive downward instead of pulling up. Two crashes happened within 5 months, to aircraft that were pretty much brand new.

  It was grounded for a while as Boeing fixed the software and hardware issues, and, more importantly, updated all the training and reference materials for pilots so that they were aware of this basically secret setting that could kill everyone.

• ⁨Comment⁩ on ⁨‘Elden Ring’ Movie in the Works From ’Civil War’ Director Alex Garland, A24⁩ ⁨⁨1⁩ ⁨week⁩ ago⁩:

  It’s not a movie, but the Fallout series had a great first season, and I’m looking forward to the second.

• ⁨Comment⁩ on ⁨Duolingo CEO says AI is a better teacher than humans—but schools will exist ‘because you still need childcare’⁩ ⁨⁨1⁩ ⁨week⁩ ago⁩:

  Instead, I actively avoided conversations with my peers, particularly because I had nothing in common with them.

  Looking at your own social interactions with others, do you now consider yourself to be socially well adjusted? Was the “debating child in a coffee shop” method actually useful at developing the social skills that are useful in adulthood?

  I have some doubts.

• ⁨Comment⁩ on ⁨By Default, Signal Doesn't Recall⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  Just ask Mike Waltz!

• ⁨Comment⁩ on ⁨Mario Kart 64 got finally decompiled!⁩ ⁨⁨2⁩ ⁨weeks⁩ ago⁩:

  Some people struggle with the difference between arguing about descriptive statements, about what things are, and arguing about normative statements, about what things should be. And these topics are nuanced.

  Decompiling to learn functionality is fair use (because like I said in my previous comment, functionality can’t be copyrighted), but actually using and redistributing code (whether the original source code, the compiled binary derived from the source code, or decompiled code derived from the binary) is pretty risky from a legal standpoint. I’d advise against trying to build a business around the practice.

• ⁨Comment⁩ on ⁨Mario Kart 64 got finally decompiled!⁩ ⁨⁨3⁩ ⁨weeks⁩ ago⁩:

  Yeah, that’s why all the IBM clones had to write their BIOS firmware in clean room implementations of new software that implemented the same functionality as IBM’s own documentation described.

  Functionality can’t be copyrighted, but code can be. So the easiest way to prove that you made something without the copyrighted code is to mimic the functionality through your own implementation, not by transforming the existing copyrighted code, through decompilation or anything like that.

• ⁨Comment⁩ on ⁨⁩ ⁨⁨4⁩ ⁨weeks⁩ ago⁩:

  Plus domains should’ve gone left to right in terms of root, tld, domain, subdomain, etc., instead of right to left.

• ⁨Comment⁩ on ⁨In heat⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  Longer queries give better opportunities for error correction, like searching for synonyms and misspellings, or applying the right context clues.

  In this specific example, “is Angelina Jolie in Heat” gives better results than “Angelina Jolie heat,” because the words that make it a complete sentence question are also the words that give confirmation that the searcher is talking about the movie.

  Especially with negative results, like when you ask a question where the answer is no, sometimes the semantic links in the kndex can get the search engine to make suggestions of a specific mistaken assumption you’ve made.

• ⁨Comment⁩ on ⁨In heat⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  Why do people Google questions anyway?

  Because it gives better responses.

  Google and all the other major search engines have built in functionality to perform natural language processing on the user’s query and the text in its index to perform a search more precisely aligned with the user’s desired results, or to recommend related searches.

  If the functionality is there, why wouldn’t we use it?

• ⁨Comment⁩ on ⁨In heat⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  Search engine algorithms are way better than in the 90s and early 2000s when it was naive keyword search completely unweighted by word order in the search string.

  So the tricks we learned of doing the bare minimum for the most precise search behavior no longer apply the same way. Now a search for two words will add weight to results that have the two words as a phrase, and some weight for the two words close together in the same sentence, but still look for each individual word as a result, too.

  More importantly, when a single word has multiple meanings, the search engines all use the rest of the search as an indicator of which meaning the searcher means. “Heat” is a really broad word with lots of meanings, and the rest of the search can help inform the algorithm of what the user intends.

• ⁨Comment⁩ on ⁨Did Trump’s Scientific Advisor Admit That The US Possesses Space And Time Manipulation Tech? Internet Is Wilding⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  I can travel forward in time at a rate of 60 seconds per minute, and I think the US government can, too.

• ⁨Comment⁩ on ⁨Meta’s AI research lab is ‘dying a slow death,’ some insiders say. Meta prefers to call it ‘a new beginning’⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  I think back to the late 90’s investment in rolling out a shitload of telecom infrastructure, with a bunch of telecom companies building out lots and lots of fiber. And perhaps more important than the physical fiber, the poles and conduits and other physical infrastructure housing that fiber, so that it could be improved as each generation of tech was released.

  Then, in the early 2000’s, that industry crashed. Nobody could make their loan payments on the things they paid billions to build, and it wasn’t profitable to charge people for the use of those assets while paying interest on the money borrowed to build them, especially after the dot com crash where all the internet startups no longer had unlimited budgets to throw at them.

  So thousands of telecom companies went into bankruptcy and sold off their assets. Those fiber links and routes still existed, but nobody turned them on. Google quietly acquired a bunch of “dark fiber” in the 2000’s.

  When the cloud revolution happened in the late 2000’s and early 2010’s, the telecom infrastructure was ready for it. The companies that built that stuff weren’t still around, but the stuff they built finally became useful. Not at the prices paid for it, but when purchased in a fire sale, those assets could be profitable again.

  That might happen with AI. Early movers over invest and fail, leaving what they’ve developed to be used by whoever survives. Maybe the tech never becomes worth what was paid for it, but once it’s made whoever buys it for cheap might be able to profit at that lower price, and it might prove to be useful in the more modest, realistic scope.

• ⁨Comment⁩ on ⁨Meta’s AI research lab is ‘dying a slow death,’ some insiders say. Meta prefers to call it ‘a new beginning’⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  For example, as a coding assistant, a lot of people quite like them. But as a replacement for a human coder, they’re a disaster.

  New technology is best when it can meaningfully improve the productivity of a group of people so that the group can shrink. The technology doesn’t take any one identifiable job, but now an organization of 10 people, properly organized in a way conscious of that technology’s capabilities and limitations, can do what used to require 12.

  A forklift and a bunch of pallets can make a warehouse more efficient, when everyone who works in that warehouse knows how the forklift is best used, even when not everyone is a forklift operator themselves.

  Same with a white collar office where there’s less need for people physically scheduling things and taking messages, because everyone knows how to use an electronic calendar and email system for coordinating those things. There might still be need for pooled assistants and secretaries, but maybe not as many in any given office as before.

  So when we need an LLM to chip in and reduce the amount of time a group of programmers need in order to put out a product, the manager of that team, and all the members of that team, need to have a good sense of what that LLM is good at and what it isn’t. Obviously autocomplete has always been a productivity enhancer for long before LLMs have been around, and extensions of that general concept may be helpful for the more tedious or repetitive tasks, but any team that uses it will need to use it with full knowledge of its limitations and where it best supplements the human’s own tasks.

  I have no doubt that some things will improve and people will find workflows that leverage the strengths while avoiding the weaknesses. But it remains to be seen whether it’ll be worth the sheer amount of cost spent so far.

• ⁨Comment⁩ on ⁨The IP Laws That Stop Disenshittification.⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  You cant remove that double negative without making it incorrect

  Sure you can: The IP Laws That Reinforce Enshittification.

• ⁨Comment⁩ on ⁨Google give a 71% discount to US federal agencies for Workspace, as it looks to capitalize on the Trump administration's cost-cutting push.⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  I’m pretty sure every federal executive agency has been on Active Directory and Exchange for like 20+ years now. The courts migrated off of IBM Domino/Notes about 6 or 7 years ago, onto MS Exchange/Outlook.

  What we used when I was there 20 years ago was vastly more secure because we rolled our own encryption

  Uh that’s now understood not to be best practice, because it tends to be quite insecure.

  Either way, Microsoft’s ecosystem on enterprise is pretty much the default on all large organizations, and they have (for better or for worse) convinced almost everyone that the total cost of ownership is cheaper for MS-administered cloud stuff than for any kind of non-MS system for identity/user management, email, calendar, video chat, and instant messaging. Throwing in Word/Excel/PowerPoint is just icing on the cake.

• ⁨Comment⁩ on ⁨Framework temporarily pausing some laptop sales in the US due to tariffs⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  They were largely unaffected by the tariffs targeting China, because US trade policy distinguishes between mainland China and Taiwan. Problem was that Trump announced huge tariffs on everyone, including a 32% tariff on Taiwan.

• ⁨Comment⁩ on ⁨China launches HDMI and DisplayPort alternative — GPMI boasts up to 192 Gbps bandwidth, 480W power delivery⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  I wonder what the use case is for 480W though. Gigantic 80" screens generally draw something like 120W. If you’re going bigger than that, I would think the mounting/installation would require enough hardware and labor that running out a normal outlet/receptacle would be trivial.

• ⁨Comment⁩ on ⁨Coin-sized nuclear 3V battery with 50-year lifespan enters mass production⁩ ⁨⁨1⁩ ⁨month⁩ ago⁩:

  this battery can deliver 0.03mA of power

  0.03mA of current. That times the 3 volts = 0.1 mW of power.

• ⁨Comment⁩ on ⁨What if Apple / other brands sold desktop chips?⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  Do you have a source for AMD chips being especially energy efficient?

  I remember reviews of the HX 370 commenting on that. Problem is that chip was produced on TSMC’s N4P node, which doesn’t have an Apple comparator (M2 was on N5P and M3 was on N3B). The Ryzen 7 7840U was N4, one year behind that. It just shows that AMD can’t get on a TSMC node even within a year or two of Apple.

  Still, I haven’t seen anything really putting these chips through the paces and actually measuring real world energy usage while running a variety of benchmarks. And the fact that benchmarks themselves only correlate to specific ways that computers are used, aren’t necessarily supported on all hardware or OSes, and it’s hard to get a real comparison.

  SoCs are inherently more energy efficient

  I agree. But that’s a separate issue from instruction set, though. The AMD HX 370 is a SoC (well, technically, SiP as pieces are all packaged together but not actually printed on the same piece of silicon).

  And in terms of actual chip architectures, as you allude, the design dictates how specific instructions are processed. That’s why the RISC versus CISC concepts are basically obsolete. These chip designers are making engineering choices on how much silicon area to devote to specific functions, based on their modeling of how that chip might be used: multi threading, different cores optimized for efficiency or power, speculative execution, various specialized tasks related to hardware accelerated video or cryptography or AI or whatever else, etc., and then deciding how that fits into the broader chip design.

  Ultimately, I’d think that the main reason why something like x86 would die off is licensing reasons, not anything inherent to the instruction set architecture.

• ⁨Comment⁩ on ⁨What if Apple / other brands sold desktop chips?⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  it’s kinda undeniable that this is where the market is going. It is far more energy efficient than an Intel or AMD x86 CPU and holds up just fine.

  Is that actually true, when comparing node for node?

  In the mobile and tablet space Apple’s A series chips have always been a generation ahead of Qualcomm’s Snapdragon chips in terms of performance per watt. Meanwhile, Samsung’s Exynos has always been behind even more. That’s obviously not an instruction set issue, since all 3 lines are on ARM.

  Much of Apple’s advantage has been a willingness to pay for early runs on each new TSMC node, and a willingness to dedicate a lot of square millimeters of silicon to their gigantic chips.

  But when comparing node for node, last I checked AMD’s lower power chips designed for laptop TDPs, have similar performance and power compared to the Apple chips on that same TSMC node.

• ⁨Comment⁩ on ⁨Finally, a Linux laptop with a brilliant display and performance that rivals my MacBook (from Germany)⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  Yeah, Firefox in particular gave me the most issues.

  Configuring each app separately is also annoying.

  And I definitely never got things to work on an external monitor that was a different DPI from my laptop screen. I wish I had the time or expertise to be able to contribute, but in the meantime I’m left hoping that the Wayland and DE devs find a solution.

• ⁨Comment⁩ on ⁨Finally, a Linux laptop with a brilliant display and performance that rivals my MacBook (from Germany)⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  I mean, that’s basically the author’s problem, then. I suspect the software support just isn’t there for the hardware that ships on this particular laptop, to where it’s easiest to manually put it in some blurry non native resolution, as the least crappy solution.

• ⁨Comment⁩ on ⁨Finally, a Linux laptop with a brilliant display and performance that rivals my MacBook (from Germany)⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  What’s the current state of Linux support for high dpi screens? As of two years ago I had some issues with getting things to work right in KDE, especially with GTK apps, by manually fiddling with system font sizes and button sizes, before I ended up donating that laptop to someone else.

• ⁨Comment⁩ on ⁨After 50 million miles, Waymos crash a lot less than human drivers⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  What’s tricky is figuring out the appropriate human baseline, since human drivers don’t necessarily report every crash.

  Also, I think it’s worth discussing whether to include in the baseline certain driver assistance technologies, like automated braking, blind spot warnings, other warnings/visualizations of surrounding objects, cars, bikes, or pedestrians, etc. Throw in other things like traction control, antilock brakes, etc.

  There are ways to make human driving safer without fully automating the driving, so it may not be appropriate to compare fully automated driving with fully manual driving. Hybrid approaches might be safer today, but we don’t have the data to actually analyze that, as far as I can tell.

• ⁨Comment⁩ on ⁨LibreOffice downloads on the rise as users look to avoid subscription costs | The free open-source Microsoft Office alternative is being downloaded by nearly 1 million users a week⁩ ⁨⁨2⁩ ⁨months⁩ ago⁩:

  What’s annoying, too, is that a lot of the methods that have traditionally been used for discounts (education, nonprofit, employer-based discounts) are now only applicable to the subscriptions. So if you do want to get a standalone copy and would ordinarily qualify for a discount, you can’t apply that discount to that license.