Yes, now that humans right less than 99% of code, the most important criteria for a language isn't readability, which I'd argue was always Python's main selling point, but the underlying runtime. There are practical limits to how fast a Python program can run either under I/O or CPU bound compared to other popular and mature languages with extensive libraries, like Elixir, Go or C++, depending on your use case.
Fair use is a defence against copyright infringement. Ie you actively say that you *have* committed copyright infringement, but you're allowed to do it under fair use doctrine to train the model. That says nothing about the purposes the model is used for
There's also these parts:
> its use of pirated books to create such library does not constitute fair use.
Which indicates that there are tight bounds depending on the ethics of how the content was obtained
Similarly with the second one
>Meta moved to dismiss plaintiffs’ cause of action for direct copyright infringement only to the extent that it was premised on a theory that the software comprising LLaMA is itself an infringing derivative work.
We're talking specifically about the output of the models being infringing, not whether or not the models themselves are infringing. If you read onwards
>Plaintiffs’ claim for vicarious copyright infringement failed because the complaint did not allege that any output generated by LLaMA contained protectable expression that recast, transformed or adapted the books. Without “an infringing output, there can be no vicarious infringement.”
Which strongly indicates the precise opposite of what you're saying, if you actually like, read the rulings
If a person truly, really, honestly wants to kill soemone then they will be dead. The benefit of the Swiss cheese model is that most people who have that level of focus tend to be producing benefits to their lives somewhere else.
Genuine question: how reproducible / usable are these architectures from the published documentation? Are they similar to PDF/DWG specifications, where the format is supposedly an open spec, but crucial implementation details remain undocumented, and are what create the moat for those software?
> Practically speaking, is there really a difference between prompting an LLM to create a CMS for a website and installing something like WordPress or Ghost?
There is some difference; when you install WordPress or Ghost, your problems are shared. There's a community that goes along with the software and a "shared understanding in the world" of how it works and where the rough edges and limitations are.
When you custom build, you ideally get an exact fit for your needs (with no extra moving parts), but your misery is yours alone.
So who is going to fly them? Will there always be an operator ready? I'm not an expert but I do know that being a capable fpv pilot is a skill you don't just pick up in an afternoon.
Now look up the temperatures within the water column. I don't see any notes about pressure. Temperature is one axis ...
Your charts show several "green house gases" and with some squinting and handwaving could be used to "prove" that the seas are mopping up those gases and saving the planet.
I used to keep tropical fish and they somehow managed to survive in water temperatures way higher than the open seas. In an aquarium it is the surface water area (not volume) that generally decides how many fish can live within it. The surface area determines how much oxygen can be absorbed, Oxygenating plants help and agitating the surface increases the surface area - it does not "mix in" oxygen.
A top seller in Libya, Somali, Iraq, and that one particular first-world country which our lawyers from that country advise us to refrain from naming! Buy one today!
I’ve got an off topic question if you’re willing to humor me…
I've been starting to notice that many new projects that would have been written in Python or Node a year ago are starting to be written in Go.
My theory is that people have realized that you don't need Python for AI-adjacent code (e.g. agents), since as Zep put it, an “agent is a long-running, concurrent, I/O-bound process that spends most of its time waiting on a model, a tool, or a human[1]” — something Go excels at.
I'm wondering if you'd put any consideration into writing it in Go before landing on Node, and more broadly whether you've noticed a similar pattern?
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N.B. I realize many other languages are very good at this too. The point is that Python was often being chosen mostly due to its popularity in AI, not because it excels in low-dependency fast-startup CLI tools nor highly-concurrent web servers — it’s just not its strength.
If we are at a point where - instead of condemning each active warcrime as being independently abhorrent, we are offering friendly suggestions to consider each in relation to others on some subjective view of severity then I don't see much hope for our children.
The semblance of an international order post world war 2 at least suggested that we as a species were attempting to move toward a better place. Many notable breaches occurred but there was a much stronger universal condemnation of each, with real political repercussions even for western powers.
It's a great display of the character of the person. You can learn a lot about their disregard for others. Its been my experience that there's a huge concentration among narcissit midwits with insecurity issues that enjoy these products. Watching their eyes change focus and the unnatural pauses they make is also personally hilarious to me...its like talking to someone that's reading through an article or typing at the same time as talking to you. Gross.
