Seconding the other guy’s endorsement of the zflip. I got mine as a really cheap trade in upgrade thinking the folding was just a gimmick and now I’m pretty much always advocating for the thing. Hasn’t been any less durable than any other phone I’ve had and though there’s a very minor crease mostly from the protective panel, it’s never been an issue.
Even in your latter paragraph, it wouldn’t be an infringement. Assuming the art was lawfully accessed in the first place, like by clicking a link to a publicly shared portfolio, no copy is being encoded into the model. There is currently no intellectual property right invoked merely by training a model-- if people want there to be, and it isn’t an unreasonable thing to want (though I don’t agree it’s good policy), then a new type of intellectual property right will need to be created.
What’s actually baffling to me is that these pieces presumably are all effectively public domain as they’re authored by AI. And they’re clearly digital in nature, so wtf are people actually buying?
Well, also if the guy was just dumping AI generated code arbitrarily into your product, that pretty significantly risks the copyright over the entire product into which the generated stuff was integrated (meaning, anyone can do whatever the fuck they want with it).
AI in health and medtech has been around and in the field for ages. However, two persistent challenges make roll out slow-- and they’re not going anywhere because of the stakes at hand.
The first is just straight regulatory. Regulators don’t have a very good or very consistent working framework to apply to to these technologies, but that’s in part due to how vast the field is in terms of application. The second is somewhat related to the first but really is also very market driven, and that is the issue of explainability of outputs. Regulators generally want it of course, but also customers (i.e., doctors) don’t just want predictions/detections, but want and need to understand why a model “thinks” what it does. Doing that in a way that does not itself require significant training in the data and computer science underlying the particular model and architecture is often pretty damned hard.
I think it’s an enormous oversimplification to say modern AI is just “fancy signal processing” unless all inference, including that done by humans, is also just signal processing. Modern AI applies rules it is given, explicitly or by virtue of complex pattern identification, to inputs to produce outputs according to those “given” rules. Now, what no current AI can really do is synthesize new rules uncoupled from the act of pattern matching. Effectively, a priori reasoning is still out of scope for the most part, but the reality is that that simply is not necessary for an enormous portion of the value proposition of “AI” to be realized.
Summary judgement is not a thing separate from a lawsuit. It’s literally a standard filling made in nearly every lawsuit (even if just as a hail mary). You referenced “beyond a reasonable doubt” earlier. This is also not the standard used in (US) civil cases–it’s typically a standard consisting of the preponderance of the evidence.
I’m also not sure what you mean by “court approved documentation.” Different jurisdictions approach contract law differently, but courts don’t “approve” most contracts–parties allege there was a binding and contractual agreement, present their evidence to the court, and a mix of judge and jury determines whether under the jurisdictions laws and enforceable agreement occurred and how it can be enforced (i.e., are the obligations severable, what damages, etc.).
My z flip is hands down my favorite phone I’ve ever owned and I didn’t get it expecting to like it much. I just needed a new phone and with Samsung’s recycling program, my old near-tablet sized phone made the switch like barely 100 bucks.
There are a lot of small advantages it provides that quickly add up to it being an overall superior experience. Now if only Bixby wasn’t the worst fucking thing ever.
Yes, it’s called a GAN and has been a fundamental technique in ML for years.
ML techniques have been very useful in compression, yes, but it’s sort of nuts to say that a data structure that encodes only (sometimes overly so for certain regions of its latent space/embedding space/semantics space/whatever you want to call it right now) relationships between values rather than value sequences themselves as storing contiguous copyright protected works is storing partiularized creative works in particularly identifiable manner.
I’ll second this experience. Pricing aside (and even then, because of their new recycling policy, I was able to replace an old galaxy nearly the size of a tablet with a new flip-- that has VERY surprisingly become my favorite phone I’ve ever owned-- for like a hundred bucks), I’ve never had complaints about my Samsung phone and wearables that weren’t general to all smartphones. And the easy integrations between my watch, phone, and earbuds, all Samsung, is really great.
Cool. You clearly don’t know what you’re talking about then!
Friendly reminder that this is person is an idiot and this is a deeply incorrect explanation of the Jewish religious understanding of jews’ relationship to God. In talmudic tradition, it is more or less correct to say that jews are understood to be in a contractual relationship with God.
I suspect this person has a bad relationship with their ex, and has decided to weave a cloak of straws to justify their shitty relationship and the community and familial support their ex receives to their personal disadvantage. It’s a weirdly common vector of effectively unintentional antisemitism. That, or they might just be dumb.
Keep in mind that this isn’t creating 3d Billy volumes at all. While immensely impressive, the thing being created by this architecture is a series of 2d frames.
You have different fees related to bringing the patent to issuance that depend on the quality of the application (many patents just never issue) and that can rack up considerably. Then you have maintenance fees every few years after issuance that increase exponentially. In the US.
Filing and prosecuting a patent application is already very expensive. Moreover, different entities are charged different rates, ranging from solo inventory (75% discount), to small entity (50%), and large/standard entity (0%, of course). Might be a little off on those discounts, been a minute since I’ve had to look directly at it.
I really hate this reduction of gpt models. Is the model probabilistic? Absolutely. But it isn’t simply learning a comprehensible probability of words–it is generating a massively complex conditional probability sequence for words. Largely, humans might be said to do the same thing. We make a best guess at the sequence of words we decide to use based on conditional probabilities along a myriad number of conditions (including semantics of the thing we want to say).
The ultimate issue is that the models don’t encode the training data in any way that we historically have considered infringement of copyright. This is true for both transformer architectures (gpt) and diffusion ones (most image generators). From a lay perspective, it’s probably good and relatively accurate for our purposes to imagine the models themselves as enormous nets that learn vague, muddled, impressions of multiple portions of multiple pieces of the training data at arbitrary locations within the net. Now, this may still have IP implications for the outputs and here music copyright is pretty instructive, albeit very case-by-case. If a piece is too “inspired” by a particular previous work, even if it is not explicit copying it may still be regarded as infringement of copyright. But, like I said, this is very case specific and precedent cuts both ways on it.
This is actually an effective measure when you sit down to actually think about this from a policy perspective. Right now, the biggest issue with AI generated content for the corporate side is that there is no IP right in the generated content. Private enterprise generally doesn’t like distributing content that it doesn’t have ability to exercise complete control over. However, distributing generated content without marking it as generated reduces that risk outlay potentially enough to make the value calculus swing in favor of its use. People will just assume there are rights in the material. Now, if you force this sort of marking, that heavily alters the calculus.
Now people will say wah wah wah no way to really enforce. People will lie. Etc. But that’s true for MOST of our IP laws. Nevertheless, they prove effective at accomplishing many of their intents. The majority of private businesses are not going to intentionally violate regulatory laws of they can help it and, when they do, it’s more often than not because they think they’ve found a loophole but were wrong. And yes, that’s even accounting for and understanding that there are many examples of illegal corporate activity.
Food production and transport is famously a zero emission industry.
No, they would just keep everything trade secret and we’d have no idea how to replicate the medicine.
AI art is not protected by copyright, yes. That isn’t a “should” but rather how it actually works in nearly all countries but a few, certainly including the US.