YES! I study AI, and this is exactly how I feel!

Side note-One of my favorite things to do is ask people what their use case for using AI is, and watch them sputter out “uh…emails and productivity and things.”

I see your point, but I still don’t think the scene works, but thinking about it like that makes it much more watchable. My point is that the scene is simultaneously poignant and a throw-away. It’s a “big deal” but also just one scene.

By the 32nd century, something like that should be such a non-issue for humans, that it would be like stating just another fact about yourself (amnesia and trust-issues aside), which lends itself to being a throw-away…but that defeats the purpose of the scene. Again, I am all about the message and Stamets’ reaction, but it felt very 21st century and on-the-nose.

I’d have preferred if Adira were just non-binary from the beginning and maybe have a quick correction of someone when they were misgendered. Or, let that scene be the reveal of something else, like the symbiont. With that change (I’d have to rewatch the season to see where this scene was in relation to the symbiont reveal), I think the scene would still work while tightening up the writing. I also think it’d get the message across, too.

Now, if the writers really wanted that scene to stay as-is, there are options. Make them an alien from a culture not as enlightened (which would cause other issues) or have this scene play into a bigger theme of Earth backsliding post-Burn (like a Dark Ages) to have mores closer to the 21st century and show the 23rd century crew as horrified by it and work to bring Earth and humanity back toward enlightenment.

This kinda sums up my main problem with Disco. There were great options on the table to realize a concept, but they just wrote it in an awkward way that is unsatisfying (at least to me). Sometimes, that awkwardness reads as performative/lazily progressive.

It’s not that Disco isn’t progressive; it’s just lazily progressive. Case in point: the scene that bothers me to this day is Adira coming out as non-binary, just beyond cringe-worthy and very 21st century. As a viewer, the scene read like Adira was waiting to be judged harshly for their identity, and it just totally took me out of the era. By the 32nd century, I’d expect that being judged harshly for one’s gender identity would be at least a millennium behind us, and the conversation should either have not happened or been so matter-of-fact that it was treated as nothing. I get what the writers were trying to do, and it fell so flat and felt so bluntly obvious. I’m all for the message, but the delivery was not great.

The saddest thing about Disco to me is that there were great ideas and great intentions, but the execution of those ideas was so poor. Really, it just shows that you can have great actors, great directors, and great concepts, but if the writers can’t make it work, it just all comes apart.

I got a laptop back in 2018, and it shipped really fast. It’s not my daily driver, but it works well when I’m on the road, and the battery life is pretty good. Granted, I replaced the OS with a distro I prefer and customized the hell out of it, so that might contribute to my experience. Tbh, I was pretty impressed with it (still am), and I was going to buy a Librem 5 when they came out. I wanted to wait and not just throw money at them because I didn’t want to get burned. After all the horror stories and crap reviews, I passed on that and won’t touch the company with a 10 foot pole, and I thank past me for not throwing money at them.

I think that the company started with noble intentions and made a decent product at first, but they got in way over their heads and now they’re floundering.

The original paper itself, for those who are interested.

Overall, this is really interesting research and a really good “first step.” I will be interested to see if this can be replicated on other models. One thing that really stood out, though, was that certain details are obfuscated because of Sonnet being proprietary. Hopefully follow-on work is done on one of the open source models to confirm the method.

One of the notable limitations is quantifying activation’s correlation to text meaning, which will make any sort of controls difficult. Sure, you can just massively increase or decrease a weight, and for some things that will be fine, but for real manual fine tuning, that will prove to be a difficulty.

I suspect this method is likely generalizable (maybe with some tweaks?), and I’d really be interested to see how this type of analysis could be done on other neural networks.

You’re getting downvoted, but you’re right. And that is the reason that using proprietary software and SaaS is a problem. If I’m only buying the right to use a copy of something as a company sees fit, then I’m not really buying anything. I’m essentially paying a company a tribute to use their software in their way.

Decades ago, it was the same way, but it felt different. We got physical media, and we could do what we wished with the files: modify them, delete them, etc. Hell, the EULAs for some '90s and early '00s software even said you could use the software in perpetuity, and we could use software in anyway we saw fit. The biggest constraint was on selling copies. Back then, and even now, that seems pretty reasonable. (Though, as an aside, it would have been better to also get access to the source code, but I digress.)

Now, we have to use company’s software exactly how they want us to use it. Personally, I refuse to go along with this (as much as I can), so I have migrated most of my digital life to FLOSS.

This is awesome!

Not necessarily. The Free and Libre Open Source Software (FLOSS) movement is a thing. Most of the Fediverse is FLOSS, and I doubt there’s anyone who can take Lemmy or Mastodon closed source and buy every instance and then stop pop-up instances. It does require quite a bit of work, though, so it is difficult.

I think the real challenging thing is that a great FLOSS service needs to attract attention and care. When I bring up Fediverse/FLOSS alternatives to software my friends complain about, I’m met with lukewarm-at-best reactions, generally due to networking effects (I think).

Like @Crack0n7uesday@lemmy.world said, it’s on government phones. The thinking goes that TikTok, which is a Chinese company, is exporting too much data from US government devices. In other words, the government is worried the Chinese are spying. Given the amount of data that the TikTok app actually collects, the fear is probably not unreasonable. All corporate-owned social media collects way too much data, but TikTok really is next level from what I’ve read.

I think a big difference, though, is that there is political force to ending TikTok. The US government has no major issues with Twitter, Facebook, Reddit, etc. existing. Remember, there’s actual legislation banning TikTok. Whether that makes a real difference or not, well, I guess we just wait and see. Personally, I think they all should go down in flames.

It’s not just convenient for them to do it; it’s how they are able to evade anti-trust action (not that the U.S. is great at it anyway but still). I also run my own mail server. It’s not impossible, and I wouldn’t even say it’s even hard. It’s just time consuming to set up (if it’s the first time), and there are a lot of hurdles to make it so impractical that it’s virtually impossible to the average person. Only the most patient or those who have a real desire to run their own mail server will even attempt it. Anyone can set up their own mail server, but most won’t because it’s not worth it compared to using something that just works from Google.

I agree with this in general, but you still may want to consider using Windows or Mac if there’s university only software that is Windows/Mac-based and doesn’t play nicely with VMs, which is really common in test-taking software (since it’s essentially spyware). An alternative would be dual-booting if you want to deal with that.

The reason I say this is that when I went back to school and started course work, there was an online class that mandated the use of certain test-taking software. I tried to get it to work in a VM (by masking the clues of being in a VM), and it kept shutting me down. I ultimately had to borrow a friend’s laptop to take all of my quizzes and tests, which was a real pain. Thankfully, I only had that one class like that, but any others would have driven me to get a cheap throw-away Windows-only box.

In the end, I’d stay away from bleeding-edge for school work, so Fedora is probably your better bet, but there may come a time that you will need to use Windows (much to your chagrin).

I work/study in AI, and it is completely over-hyped. For one thing, the C-suite can’t wrap it’s head around the fact that AI != LLM; they all seem to think all AI is just LLMs. On top of that, they are way too eager to throw humans out of the loop.

That said, I think LLM applications, even in their current form, are super useful in development and business practices. I myself use it to increase my productivity in coding. But, I use it as an augmentation rather than a replacement. One of my friends put it best the other day, “LLMs are like a junior dev to your senior dev. You need to be hyper-specific, and you need to check it’s output.” In other words, it’s great for off-loading some work, but it isn’t going to completely replace humans.

With that said, I’m a bit annoyed that other AI fields are being over-shadowed by LLMs. There’s a ton of other interesting work being done in those fields that is super useful and important. All of them, though, are not going to replace humans but rather augment and make humans more productive. I’ve found that an AI-Human team is most effective.

Building a signup wizard to use that information to select a instance would seem to be the best approach.

That’s actually not a bad idea. I’m not on board with mining contacts, but I think there’s a simple, transparent way to do this that can actually be fun: a personality quiz. Sure, if someone knows what instance to join already, they can override this. But if they don’t, they get like five questions, and then they are matched to an instance.

I think what they’re saying is that Americans don’t pay attention and forgot how terrible the Trump presidency was because it’s been a few years. Most people think that “we’re better now” and any major issues have abated without understanding that nothing has fundamentally changed. Because of all that, Trump will win the election. The DnD portion of the post is just what got OP to think about this.

Sad thing is that there’s merit to the argument. It’s the old trope of “Americans have short memories.”

Except that scaling alone won’t lead to AGI. It may generate better, more convincing text, but the core algorithm is the same. That “special juice” is almost certainly going to come from algorithmic development rather than just throwing more compute at the problem.

I mean, that’s more-or-less what I said. We don’t know the theoretical limits of how good that text generation is when throwing more compute at it and adding parameters for the context window. Can it generate a whole book that is fairly convincing, write legal briefs off of the sum of human legal knowledge, etc.? Ultimately, the algorithm is the same, so like you said, the same problems persist, and the definition of “better” is wishy-washy.

Cool, Bill Gates has opinions. I think he’s being hasty and speaking out of turn and only partially correct. From my understanding, the “big innovation” of GPT-4 was adding more parameters and scaling up compute. The core algorithms are generally agreed to be mostly the same from earlier versions (not that we know for sure since OpenAI has only released a technical report). Based on that, the real limit on this technology is compute and number of parameters (as boring as that is), and so he’s right that the algorithm design may have plateaued. However, we really don’t know what will happen if truly monster rigs with tens-of-trillions of parameters are used when trained on the entirety of human written knowledge (morality of that notwithstanding), and that’s where he’s wrong.

I found myself nodding along to a lot that was said in this article. I also would trace a lot of recent issues to JJ Abrams’ take. What I said then is still (I think) true today: “They are good movies, but they aren’t good Star Trek movies.” Discovery and Picard suffered for it, but I think that the ills are being corrected. My hope is that Paramount greenlights “Legacy” as the TNG-spiritually-successor as SNW is the TOS-spiritual-successor.

Where I will disagree, though, is that Star Trek isn’t broken. Five-ish years ago, I would have said that, but after SNW, Lower Decks, and Picard season 3, I think the powers that be have a better understanding of what is needed. We were in a bit of a “dark-ages” from 2006-2020, but I think we’re back on the upswing. We may not be quite at 1990s golden age Trek, but we can get close.

Congratulations on making the switch! I remember when I switched full time almost 10 years ago. It always feels like there’s something new to explore or to try with your computer. One of the most freeing things I learned was that most things are within my grasp if I put in the effort to learn about it. There’s nothing quite as fun as whittling the day away going down a configuration rabbit-hole to make something just right.