Except they did stop that shady practice, so your original boycott doesn’t make sense anymore.
This is a completely different issue of other companies trying to sell fraudulent Seagate drives used in crypto mining farms as new. They are responding by shutting down sales until they can root them out.
This is why actually reading the article is important instead of “brand I don’t like bad”.
You can never be 100% sure, but there are protective factors that make it less likely, and they mostly boil down to incentive structure:
Ownership - Is the project run by a non-profit? A for-profit company? A hobbyist? This is the best indicator of a project's long-term trajectory, because it generally indicates the purpose behind creating it.
Business model - How does the project make money? Donations? Subscription? One time payment? Generally models where you can outright purchase a copy of a particular version is insulated against future updates you don't like. Donations protect against exploitation, but run the risk of the project being unsustainable and abandoned.
Source - Open source code isn't a silver bullet, but (especially with good licensing) it can make enshittification less likely as it's a lot easier for dissenters to spin up a fork / competitor. It also makes it very difficult to hide sketchy stuff like data collection and back doors.
Red flags - You should avoid anything that is SaaS, backed by an investment firm, or publicly traded. All of these involve incentive structures that encourage and reward exploitation of consumers and employees for increasing profit margins.
Just leave poor people alone and public domain should start at the death of the author(s).
I generally agree, but it gets complicated with works that have many contributors, like a film. Does the costume designer own the rights to a movie more than a writer? A director? A stunt coordinator? Who among them gets to decide how that work can be used? A consensus among hundreds of people is very unlikely.
FOSS projects deal with this issue a lot when a project wants to change licensing for example, but they need every contributor's approval, some of whom may be very difficult to reach.
Also, selling the rights to an IP can be a huge windfall for creators if it gets big enough and they're okay with giving up control. This is especially common when the original creator wants to retire.
"Intellectual property" is a complicated concept, and I don't know if a perfect system can exist. Though, it could easily be better for creators than it is now.
That's funny, I hadn't heard that before. Situations like this is why actual humans will always make better translators (overall).
Native readers can almost always tell when something was just run through a translation tool, because translation is about meaning, not just word/phrase replacement. Even LLMs will make weird contextual mistakes because there's no fundamental understanding of meaning.
Yes. The Lemmy instance I’m commenting from is running on a Raspberry Pi 4. A couple things you’ll need to consider though:
Any containers / applications you run need to be compiled for arm64. This is way more common now than it used to be, but there are still some things that only work on x86 (like many game servers)
You should hook up external storage to your Pi. You can boot from an SSD via USB 3 and you’ll get way better performance, capacity, and write endurance than an SD card.
RAM will likely be your first limitation. Many services can run well under 4GB, but once you start adding more, it can fill up if you’re not careful.
You probably already knew this, but even though the Pi has WiFi, plug it into the network via Ethernet. As a rule, you should never run servers off WiFi if you can avoid it. You’ll get much better speeds and reliability.
I honestly don't really care about Valve's motivations. It's a good decision. This kind of trash can take over and ruin an entire marketplace if you let it.
No one here is important or official. There are no video game community managers or anything like that here. Lemmy is not used for interacting with anyone other than fellow idle nerds.
This is how Reddit was before it exploded in popularity and companies and celebrities started taking it seriously. I don't know if Lemmy will ever get to that point, especially seeing how much abuse people will endure before they change platforms.
These concepts have played out in many different civilizations long before (and during) America. This is why studying history is important--and also why dictators try to erase it.
Other harmful side-effects aside, how much a game impacted you is significantly affected by the context of your life. Experiencing the same game at a different time in your life might not be as meaningful.
This is a great idea. While devs could circumvent this by just pushing small, meaningless updates to refresh the timer, truly abandoned projects would still be flagged.
No. I've used several models to "teach" me about subjects I already know a lot about, and they all frequently get many facts wrong. Why would I then trust it to teach me about something I don't know about?
to look up a song when you can only remember a small section of lyrics
No, because traditional search engines do that just fine.
when you want to code a block of code that is simple but monotonous to code yourself
suggest plans for how to create simple sturctures/inventions
I guess I've never tried this.
Anything with a verifyable answer that youd ask on a forum can generally be answered by an llm, because theyre largely trained on forums and theres a decent section the training data included someone asking the question you are currently asking.
Kind of, but here's the thing, it's rarely faster than just using a good traditional search, especially if you know where to look and how to use advanced filtering features. Also, (and this is key) verifying the accuracy of an LLM's answer requires about the same about of work as just not using an LLM in the first place, so I default to skipping the middle-man.
Lastly, I haven't even touched on the privacy nightmare that these systems pose if you're not running local models.
Creating software is a great example, actually. Coding absolutely requires reasoning. I’ve tried using code-focused LLMs to write blocks of code, or even some basic YAML files, but the output is often unusable.
It rarely makes syntax errors, but it will do things like reference libraries that haven’t been imported or hallucinate functions that don’t exist. It also constantly misunderstands the assignment and creates something that technically works but doesn’t accomplish the intended task.
I’m using it in an actual office, so I got the silent red switches, and its the quietest mechanical keyboard I’ve ever used. I’m not sure how it compares to the Keychron Q6.
Personally I have yet to find a use case. Every single time I try to use an LLM for a task (even ones they are supposedly good at), I find the results so lacking that I spend more time fixing its mistakes than I would have just doing it myself.
If you think of LLMs as something with actual intelligence you're going to be very unimpressed.. It's just a model to predict the next word.
This is exactly the problem, though. They don’t have “intelligence” or any actual reasoning, yet they are constantly being used in situations that require reasoning.
Except they did stop that shady practice, so your original boycott doesn’t make sense anymore.
This is a completely different issue of other companies trying to sell fraudulent Seagate drives used in crypto mining farms as new. They are responding by shutting down sales until they can root them out.
This is why actually reading the article is important instead of “brand I don’t like bad”.