Well, I haven’t played these types of games when I was young. But I have no intention of spending money on microtransactions and the games I’ve chosen have been fun as a f2p player, so they work for me.
As for my kids, they’re still in elementary school and they’ve been raised mostly screen-free, so it’s not something I need to worry about just yet.
I play these games in bursts. Play until exhausting the actual content, then stop when it turns into a grind-fest. Come back a year or two later when there’s enough new content to make it fun again. Usually also with a whole bunch of returning player rewards. Repeat.
A I never ever spend a single cent in these games.
Games that I play include Genshin Impact and Honkai Star Rail, both of which I just checked and don’t work on Linux due to anticheat protection. I see there are some alternative open-source launchers that would get them working on Linux and Mac, but I wouldn’t risk my account using those.
Years ago I switched to Linux on my PC and everything was fine. But there was a game I wanted to play that didn’t work on Linux, so I created a small Windows partition to dual boot. Later, that game became two, then three, and so on. I had to reformat some partitions to ntfs (iirc I was using reiserfs) to expand available storage for Windows to add more games. Then at one point I realized it’s been a while since I’ve booted into Linux and I don’t even know if it still works.
So yeah, use whatever fits your needs. I’ll always pick Linux PC or Mac for work, but I’ll stick with Windows for gaming.
For context, I’ve been on computers since the 8bit era and I’ve been programming for just as long. I prefer the power of a terminal over GUIs, my “IDE” of choice is vim. I use Git Bash in Windows for access to Linux-style commands. So yeah, I am technical and I prefer Linux for practical reasons. But when I want to play a game I want to just start it and play it, not work for days to maaaybe get it to mostly run fine except for some features.
Edit: one of the games I had to use Windows for was League. A competitive online game with anti-cheat features.
Edit2: note that this was many years ago and some other games I needed Windows for will now probably work on Linux effortlessly. At least one has native support for Linux now.
Instead of writing captions, the team asked annotators to record 60- to 90-second verbal descriptions answering a list of questions about each image. They then transcribed the descriptions—which often stretched across several pages—and used other large language models to clean up, crunch down, and standardize them.
So those other LLMs are needed to train this one?
Same for copyright law. The point was to give creators a few years to profit from their work before it goes into public domain.
That’s my situation at a Silicon Valley tech company. Nobody ever mentioned unions one way or another but I honestly have no idea what I could ask for that I don’t already get. We have good benefits, good perks, everyone works frok home, unlimited PTO that nobody tries to limit or work around (all we are asked for is to give a rough estimate of time we’ll be taking off during each quarter so that it can be factored into planning), good work environment, good pay.
It’s like saying Microsoft Windows is the most loved OS on PC. People just go with the option in front of them. Spotify is the biggest streaming service now, Amazon Music ties in with Alexa.
I did not say companies should have no liability for publishing misinformation. Of course if someone uses AI to generate misinformation and tries to pass it off as factual information they should be held accountable. But it doesn’t seem like anyone did that in this case. Just a journalist putting his name in the AI to see what it generates. Nobody actually spread those results as fact.
Their product doesn’t claim to be a source of facts. It’s a generator of human-sounding text. It’s great for that purpose and they’re not liable for people misusing it or not understanding what it does.
If you read the whole text and interpret the highlights as emphasis then it’s just annoying and hard to read (sort of like those people who add random commas everywhere). If you read just the highlighted text then it sounds like a summary, but there are mistakes in it, which is why I assumed AI.
I think it’s an AI summary (if you read just the highlighted part)
It baffles me that these types of jobs exist in the same area as mine. My company doesn’t care what hours I work as long as I get things done, has gone fully remote and never going back, encourages people to not burn themselves out and take time off, we have actual unlimited PTO (i.e. nobody coming after me for using too much), etc. I always thought that’s just the Silicon Valley mentality, but I keep seeing news of big tech companies doing all kinds of crazy backwards things and I don’t get it. All the perks I get are not because my company is run by angels, it’s because they understand we’re actually more productive that way.
He didn’t get arrested for AI generated music. He got arrested for faking multiple accounts to upload music and using bots to generate fake listens, thus stealing millions of dollars. If he did the same thing with music he actually wrote and played, he would still be arrested.
Deep learning did not shift any paradigm. It’s just more advanced programming. But gen AI is not intelligence. It’s just really well trained ML. ChatGPT can generate text that looks true and relevant. And that’s its goal. It doesn’t have to be true or relevant, it just has to look convincing. And it does. But there’s no form of intelligence at play there. It’s just advanced ML models taking an input and guessing the most likely output.
Here’s another interesting article about this debate: https://ourworldindata.org/ai-timelines
What we have today does not exhibit even the faintest signs of actual intelligence. Gen AI models don’t actually understand the output they are providing, that’s why they so often produce self-contradictory results. And the algorithms will continue to be fine-tuned to produce fewer such mistakes, but that won’t change the core of what gen AI really is. You can’t teach ChatGPT how to play chess or a new language or music. The same model can be trained to do one of those tasks instead of chatting, but that’s not how intelligence works.
See the sources above and many more. We don’t need one or two breakthroughs, we need a complete paradigm shift. We don’t even know where to start with for AGI. There’s a bunch of research, but nothing really came out of it yet. Weak AI has made impressive bounds in the past few years, but the only connection between weak and strong AI is the name. Weak AI will not become strong AI as it continues to evolve. The two are completely separate avenues of research. Weak AI is still advanced algorithms. You can’t get AGI with just code. We’ll need a completely new type of hardware for it.
https://www.lifewire.com/strong-ai-vs-weak-ai-7508012
Strong AI, also called artificial general intelligence (AGI), possesses the full range of human capabilities, including talking, reasoning, and emoting. So far, strong AI examples exist in sci-fi movies
Weak AI is easily identified by its limitations, but strong AI remains theoretical since it should have few (if any) limitations.
https://en.m.wikipedia.org/wiki/Artificial_general_intelligence
As of 2023, complete forms of AGI remain speculative.
Boucher, Philip (March 2019). How artificial intelligence works
Today’s AI is powerful and useful, but remains far from speculated AGI or ASI.
https://www.itu.int/en/journal/001/Documents/itu2018-9.pdf
AGI represents a level of power that remains firmly in the realm of speculative fiction as on date
That would be a danger if real AI existed. We are very far away from that and what is being called “AI” today (which is advanced ML) is not the path to actual AI. So don’t worry, we’re not heading for the singularity.
I’ve had my Samsung Bar for 5 years now and no issue with it, if that’s worth anything