My issue is more with the math of it. Since it requires holding your frames until you’ve got one in reserve (can’t generate an in-between until you know what’s next), it fundamentally makes the game less responsive.

That said, if you understand that, and like the visual smoothness of motion with more frames, then it’s super cool tech. Not every game has to be treated like it’s competitive Counter Strike, and I think it’s really cool if you like it, but it frustrates me how poorly marketed and understood the actual technology and its compromises are.

Eh, FSR3 upscaling and FSR3 frame generation are different things. I’m personally a fan of upscaling, it’s great for a sharper picture on my large 4k TV without spending a fortune on a massive GPU (I use a living room gaming PC), but not at all a fan of frame generation, as it introduces more input lag for the illusion of more frames. Not a tradeoff I’m ever willing to make, especially when VRR already does an incredible job of creating the illusion (and a degree of reality) of good performance when my framerate drops.

Sounds like a CEO who doesn’t have a damn clue how code works. His description sounds like he thinks every line of code takes the same amount of time to execute, as if x = 1; takes as long as calling an encryption/decryption function.

“Adding” code to bypass your encryption is obviously going to make things run way faster.

Eh, not much nefarious you can do by pushing data around. Taking a lot of CPU/GPU usage? Certainly, you can do a lot of evil with distributed computing. But bandwidth?

Costs a lot to host all that data to push to people, and to handle streaming it to so many as well, all for them to just… throw it out? Users certainly don’t keep enough storage to even store a constant 100Mb/s of sneaky evil data, let alone do any compute with it, because the game’s CPU/GPU usage isn’t particularly out of the ordinary.

So not much you could do here. Ockham’s razor here just says… planes are fast, MSFS is a high fidelity game, they’ve gotta load a lot of high accuracy data very quickly and probably can’t spare the CPU for terribly complicated decompression.

I think it is a problem. Maybe not for people like us, that understand the concept and its limitations, but “formal reasoning” is exactly how this technology is being pitched to the masses. “Take a picture of your homework and OpenAI will solve it”, “have it reply to your emails”, “have it write code for you”. All reasoning-heavy tasks.

On top of that, Google/Bing have it answering user questions directly, it’s commonly pitched as a “tutor”, or an “assistant”, the OpenAI API is being shoved everywhere under the sun for anything you can imagine for all kinds of tasks, and nobody is attempting to clarify it’s weaknesses in their marketing.

As it becomes more and more common, more and more users who don’t understand it’s fundamentally incapable of reliably doing these things will crop up.

Dang, this full out fooled me. Concerning, I guess we’re here now. Lots to catch once you’re aware of it, but totally passed by me while scrolling, even as someone who’s well aware of AI Image Generation, even in an image that’s intentionally ridiculous.

Honestly, makes sense, the active voice version is just… more efficient and easier to parse quickly.

Yeah, this is the problem with frankensteining two systems together. Giving an LLM a prompt, and giving it a module that can interpret images for it, leads to this.

The image parser goes “a crossword, with the following hints”, when what the AI needs to do the job is an actual understanding of the grid. If one singular system understood both images and text, it could hypothetically understand the task well enough to fetch the information it needed from the image. But LLMs aren’t really an approach to any true “intelligence”, so they’ll forever be unable to do that as one piece.

Eh, this is a thing, large companies often have internal rules and maximums about how much they can pay any given job title. For example, on our team, everyone we hire is given the role “senior full stack developer”, not because they’re particularly senior, in some cases we’re literally hiring out of college, but because it allows us to pay them better with internal company politics.

Ooh, this is very interesting. I’m a sucker for emulator progress reports, just a fascinating intersection of programming, graphics, and gaming. My personal RSS feeds right now (which I’d love to add lemmy discussion to) are:

https://dolphin-emu.org/blog/feeds/ https://pcsx2.net/blog/rss.xml https://www.libretro.com/index.php/feed/ https://blog.ryujinx.org/rss/ https://xenia.jp/feed.xml

They did overhaul the controller mapping in this update, along with just about everything else, so it would be worth checking out. I really can’t emphasize enough how massive this update is, it’s like the emulator leaping from 2010 to 2024, they’ve been exceptionally active over the past 4 years.

Aren’t there emulators for newer platforms out there now?

And of course. I assume you’re referring to RPCS3 for PS3. PS4 is also in the early stages of being emulated, with simple games being playable.

Ugh, if only. Amazon has done everything in their power to bury and strip that number from the internet. Once upon a time that worked great.

Storytime! Earlier this year, I had an Amazon package stolen. We had reason to be suspicious, so we immediately contacted the landlord and within six hours we had video footage of a woman biking up to the building, taking our packages, and hurriedly leaving.

So of course, I go to Amazon and try to report my package as stolen… which traps me for a whole hour in a loop with Amazon’s “chat support” AI, repeatedly insisting that I wait 48 hours “in case my package shows up”. I cannot explain to this thing clearly enough that, no, it’s not showing up, I literally have video evidence of it being stolen that I’m willing to send you. It literally cuts off the conversation once it gives its final “solution” and I have to restart the convo over and over.

Takes me hours to wrench a damn phone number out of the thing, and a human being actually understands me and sends me a refund within 5 minutes.

I don’t necessarily disagree that we may figure out AGI, and even that LLM research may help us get there, but frankly, I don’t think an LLM will actually be any part of an AGI system.

Because fundamentally it doesn’t understand the words it’s writing. The more I play with and learn about it, the more it feels like a glorified autocomplete/autocorrect. I suspect issues like hallucination and “Waluigis” or “jailbreaks” are fundamental issues for a language model trying to complete a story, compared to an actual intelligence with a purpose.

Same honestly. And if I ever ask a question that someone might think is a duplicate, I link to that question and say something like “I found X, but the answers here don’t reflect Y”.

I’d be very surprised if anything functional actually comes out of this. Far more likely they get scammed out of the money by garbage like the current “AI writing detection” methods, with terrible success rates that cause more societal problems than they solve.

Legally responsible, for one.

I.E. If a federated instance hosted pedophilia, that content would be copied to, and served by, your instance’s infrastructure, which is obviously legally problematic.

Surprisingly legible, but feels like I can only read it with momentum, flitting past it and letting my subconscious tell me where the word breaks are. The moment I get confused and look more closely, it becomes almost impossible to read.

Honestly, I like this idea, just because it means I could block your instance in my app and instantly filter out that kind of content, just like how someone can block lemmynsfw to get rid of almost all porn.

Hmmm, tbh, I don’t think that’s a feature I’d want. Every now and again you see “that guy” furious that he’s getting downvotes, doubling down and trying to start an argument or something. I don’t need that guy showing up in my DMs.