Here is the more burning question: What is worse? Case "It was not made to design standards": Then boing might have a problem in their manufacturing processes, which is going to have ramifications on the entire fleet. This would be bad, but fixable.
Case "It was made to design standards": In that case you only have a problem with this one type of jet, but you have a problem in your fundamental design, which might ground the entire fleet (again).
And that would be completely legal, just like any random guy on deviantart can draw something in the style of e.g. Picasso without getting into trouble (unless of course they claim it was painted by picasso, but that should be obvious).
train one with all the Nintendo leaks
This is fine
generate some Zelda art and a new Mario title
This is copyright infringement.
The ruling in japan (and as I predict also in other countries) is that the act of training a model (which is just a statistical estimator) is not copyrightable, so cannot be copyright infringement. This is already standard practice for everything else: You cannot copyright a mathematical function, regardless of how much data you use to fit to it (that is sensible: CERN has fit physics models to petabytes worth of data, that doesn't mean they hold a copyright on laws of nature, they just hold the copyright on the data itself). However, if you generate something that is copyrighted, that item is still copyrighted: It doesn't matter whether you used an AI image generator, photoshop, or a tattoo gun.
First, I don’t think that’s the right comparison. You need to compare them to taxis.
It's not just that, you generally have a significant distribution shift when comparing the self-drivers/driving assistants to normal humans. This is because people only use self-driving in situations where it has a chance of working, which is especially true with stuff like tesla's self-driving where ultimately people are not even going to start the autopilot when it gets tricky (nevermind intervening dynamically: they won't start it in the first place!)
For instance, one of the most common confounding factors is the ratio of highway driving vs non-highway driving: Highways are inherently less accident prone since you don't have to deal with intersections, oncoming traffic, people merging in from every random house, or children chasing a ball into the street. Self-drivers tend to report a lot more highway traffic than ordinary drivers, due to how the availability of technology dictates where you end up measuring. You can correct for that by e.g. explicitly computing the likelihood p(accident|highway) and use a common p(highway) derived from the entire population of car traffic.
Not necessarily: there have been recent works that indicate that filtering effects of fine tuned LLMs greatly improves the data efficiency (e.g phi-1). Further, if you have e.g. human selection on top of LLM generated content you can get great results as the LLM generation can be used as a soft curriculum, with the human selection biasing towards higher quality.
Honestly, I recommend everyone without existing Linux experience to use Fedora: it's reasonable modern (nice for, e.g. gaming), while also not being a full rolling release model like Arch (which needs expertise to fix in case something breaks). It's also reasonably popular, meaning you will find enough guidance in case something does break.
Basically the stuff they need to detect whether ads are actually shown needs information of the device state that are generally not available according to Article 5(3) ePR.
The problem is that the model is actually doing exactly what it's supposed to, it's just not what openai wants it to do. The reason the prompt extraction method works is because the underlying statistical model gets shifted far outside the domain of "real" language. In that case the correct maximizing posterior becomes a sample from the prior (here that would be a sample from the dataset, this is combined with things like repetition penalties).
This is the correct way a statistical estimator is supposed to work, but not the way you want it to work. That's also why they can't really fix this: there's nothing broken to begin with (and "unbreaking" it would almost surely blow something take up)
You cannot run Signal without "Signal - the company" existing. All of their systems are designed to be attached to one specific backend, namely the signal-run backend, meaning without re-engineering the existing infrastructure you cannot simply swap over.
As @kpw already mentioned, "Signal - the company" dying would involve a functional reset of everything: No contacts, no servers, no infrastructure. COULD you fork the thing and build you own system? Sure, but it would be functionally unusable since no one else would be using it, since everything relies on specifically the signal servers to function. A post-signal system could re-use some of their code (if it runs outside signal corp - "works on my machine" could be present in this project as well), but would need to rebuild the actual network.
This is in contrast to something like the matrix protocol: If a specific matrix instance goes kaput, you still have the overall network working. This means that even if an instance implodes, you would have an easy migration path since the matrix network itself persists.
Essentially the same argument: Due to the fact the HBO show was syndicated throughout the united states, he can file in the federal courts in e.g. Texas (usually the argument is something like "They damaged business relations/contracts in XYZ state, therefore we file in XYZ state").
I answered a little more in detail in a different comment (https://fedia.io/m/[email protected]/t/411563/-/comment/2556033) but to address the last point: They did file in federal court (specifically the federal district court in north texas).
exactly: It's "open source" like android. The core android is open source (in many cases because they are required to), but that does not include anything that makes the actual system work for normal users. The core android is open source ("Android Open Source Project"), but that includes practically nothing: Essentially the stuff that is in there are things that have to be open source (like the linux kernel they use). However, if you want to have the system "practically useable" you need a lot more, which is usually the "Google Mobile Services", which are proprietary. You are also generally required to install all items in the GMS, i.e. even if you only need the play store, you still have to install google chrome.
Further, the android name and logo are trademarked by google, so even if you want to roll your own android, you would not be allowed to call it android. WearOS is essentially the same thing: The android subsystem is open, the actual thing you call WearOS (plus trademarks, etc.) are not.