The issue is it’s going to be trained only on places people go. My understanding is that most geolocating systems are more focused on the uncommon or less traveled locations. Maybe I’m wrong, but I guess they’re probably tested it out before announcing it.
I’ve been saying this since it released. Cool mechanics, but boring world and gameplay. I’m still a bit salty about the loss of real dungeons, nothing in BOTW or TOTK feel as memorable as the previous games.
It’s also possible that he did say all of those things and they’re only changing the story due to the negative reception. It’s a Sony site/interview after all.
Maybe it was the pandemic, but I feel like the ps5 and series x/S came out like two years ago. I’m not sure if it was the lack of any generation defining games or the fact that everyone is just playing fortnite, Minecraft, and apex legends still.
AI has been co-opted by all the GenAI people. The number of times I’ve heard things like “AI is the next big thing for X business” and they’re only talking about GenAI is way too high.
I don’t know why, but the “real filmed video” just makes me question it more.
Actually most (I think all, but not 99% positive) machine learning models are incapable of doing straight arithmetic. Due to the way they are built ML models, including deep learning models, can only learn relationships in a limited input space.
This is most apparent when you test LLMs on different arithmetic operations:
This has to do with the fact that LLMs are effectively multiple layers of linear functions, so higher order operations break down faster.
To be honest it’s been kinda meh for the past few years. There have been a couple of exceptions, but even Nintendo has been under delivering (I personally thought Mario wonder and TOTK were just okay).
A lot of people are complaining about it’s use case for laptops, but I think a display like this on cars or glasses/goggles could be interesting.
I wouldn’t say the live requests were as good as the live demo https://x.com/sama/status/1758206987094147252?s=20
Its definitely impressive, but I still haven’t had a success story with generating pictures using dalle/gemini/adobe. It’s possible I’m not good at making prompts, but it’s definitely not exactly ready even for stock photos.
It’s great seeing time and time again that no one really does understand these models and that their preconceived notions of what biases exist ends up shooting them in the foot. It truly shows that they don’t really understand how systematically problematic the underlying datasets are and the repurcussions of relying on them too heavily.
This goes back to my previous comment of handwaving away the details. There is a model out there that clearly is reproducing copyrighted materials almost identically (nytimes article), we also have issues with models spitting out training data https://www.wired.com/story/chatgpt-poem-forever-security-roundup/. Clearly people studying these models don’t fully know what is actually possible.
Additionally, it only takes one instance to show that these models, in general, can and do have issues with regurgitating copyrighted data. Whether that passes the bar for legal consequences we’ll have to see, but i think it’s dangerous to take a couple of statements made by people who don’t seem to understand the unknowns in this space at face value.
I’m not sure she does, just read the article and it focuses primarily what models can train on. However, the real meat of the issue, at least I think, with GenAI is what it produces.
For example, if I built a model that just spit out exact frames from “Space Jam”, I don’t think anyone would argue that would be a problem. The question is where is the line?
The Kit Walsh article purposefully handwaves around a couple of issues that could present larger issues as law suits in this arena continue.
He says that due to the size of training data and the model, only a byte of data per image could be stored in any compressed format, but this assumes all training data is treated equally. It’s very possible certain image artifacts are compressed/stored in the weights more than other images.
These models don’t produce exact copies. Beyond the Getty issue, nytimes recently released an article about a near duplicate - https://www.nytimes.com/interactive/2024/01/25/business/ai-image-generators-openai-microsoft-midjourney-copyright.html.
I think some of the points he makes are valid, but they’re making a lot of assumptions about what is actually going on in these models which we either don’t know for certain or have evidence to the contrary.
I didn’t read Katherine’s article so maybe there is something more there.
I’ve played it a bit on the Xbox and it’s even laggy on that. It may just be too much for the switch to handle ¯\_(ツ)_/¯.
If it’s warning about too many buildings you may have too many things for the switch to track and display, so best bet would be to remove some things. It sucks, but that’s always an issue with open world games like that.
It’s not a topic that I’m super well versed in, but here is a thread from a photography forum indicating that news organizations can’t take advantage of fair use https://www.dpreview.com/forums/thread/4183940.
I think these kinds of stringent rules are why so many are up in arms about how AI is being used. It’s effectively a way for big players to circumvent paying the people who out all the work into the art/music/voice acting/etc. The models would be nothing without the copyrighted material, yet no one seems to want to pay those people.
It gets more interesting when you realize that long term we still need people creating lots of content if we want these models to be able to create things around concepts that don’t yet exist (new characters, genres of music, etc.)
You do realize that newspapers do typically pay the licensing for images, it’s how things like Getty images exist.
On the flip side, OpenAI (and other companies) are charging someone access to their model, which is then returning copyrighted images without paying the original creator.
That’s why situations like this keep getting talked about, you have a 3rd party charging people for copyrighted materials. We can argue that it’s a tool, so you aren’t really “selling” copyrighted data, but that’s the issue that is generally be discussed in these kinds of articles/court cases.
Yeah N64 and PS1 just have this element of jank from the transition to 3D. While a great time for games, none of them have aged as gracefully as the 32-bit games from the previous era.
And how does it know how to process the request? Someone still needs to program or enable it to do things, otherwise you’d just be talking to a wall. So maybe you end up with less prompts, but the end state is still going to be terrible service.
It definitely has applications in defense/Intel spaces. Knowing where a photo was taken can be really useful info.