Copyrights (rights to media content) do not lapse because of failure to enforce them.
Trademarks (the right to call your product a specific name) can lapse if members of the general public start associating it with a type of product rather than your specific brand. This happened with "zipper", "jet ski", and "popsicle". But you can't sue Grandma Smith because she mistakingly referred to an Xbox as "a Nintendo".
From watching the opening I didn't like the writing of the dialogue.
Pretty good track record with videogames too.
Some ARM CPUs that are advertised as microcontrollers have 32 bit address spaces and roughly the same power as an i486.
I agree to some extent, as there are plenty of distros that don't do anything significantly different from each other and don't need to exist. I also see what you mean about desktop environments. While I think there's space for all the small exotic window managers that exist, I would say we probably don't need as many big fully integrated desktop environments as there are now. (Maybe we should have only one aimed at modern hardware and one designed to be lightweight.)
That being said, there is plenty of duplication of effort within commerical software too. I would argue that if commercial desktop GUIs currently offer a better user experience than Linux desktop environments it's more in spite of their development model than because of it, and their advantage has mostly to do with companies being able to pay developers to work full time (instead of relying on donations and volunteers).
There are a couple reasons I think this:
Generally I think open source software has a really nice combination of cooperation and competition. The competition encourages experimentation and innovation while the cooperation eliminates duplicated effort (by letting competitors copy each other if they so choose).
I vibe with this a lot. I don't think the movie needed to exist in the first place, and if it did it would probably be better if it were fully animated, but nothing about the trailer provoked any strong emotions in me.
I'm not going to watch it but I also didn't go "wow this is an insult and a tragedy".
I guess I'm happy for all the tiny children that are gonna watch it and probably love it though.
This model isn’t “learning” anything in any way that is even remotely like how humans learn. You are deliberately simplifying the complexity of the human brain to make that comparison.
I do think the complexity of artificial neural networks is overstated. A real neuron is a lot more complex than an artificial one, and real neurons are not simply feed forward like ANNs (which have to be because they are trained using back-propagation), but instead have their own spontaneous activity (which kinda implies that real neural networks don't learn using stochastic gradient descent with back-propagation). But to say that there's nothing at all comparable between the way humans learn and the way ANNs learn is wrong IMO.
If you read books such as V.S. Ramachandran and Sandra Blakeslee's Phantoms in the Brain or Oliver Sacks' The Man Who Mistook His Wife For a Hat you will see lots of descriptions of patients with anosognosia brought on by brain injury. These are people who, for example, are unable to see but also incapable of recognizing this inability. If you ask them to describe what they see in front of them they will make something up on the spot (in a process called confabulation) and not realize they've done it. They'll tell you what they've made up while believing that they're telling the truth. (Vision is just one example, anosognosia can manifest in many different cognitive domains).
It is V.S Ramachandran's belief that there are two processes that occur in the Brain, a confabulator (or "yes man" so to speak) and an anomaly detector (or "critic"). The yes-man's job is to offer up explanations for sensory input that fit within the existing mental model of the world, whereas the critic's job is to advocate for changing the world-model to fit the sensory input. In patients with anosognosia something has gone wrong in the connection between the critic and the yes man in a particular cognitive domain, and as a result the yes-man is the only one doing any work. Even in a healthy brain you can see the effects of the interplay between these two processes, such as with the placebo effect and in hallucinations brought on by sensory deprivation.
I think ANNs in general and LLMs in particular are similar to the yes-man process, but lack a critic to go along with it.
What implications does that have on copyright law? I don't know. Real neurons in a petri dish have already been trained to play games like DOOM and control the yoke of a simulated airplane. If they were trained instead to somehow draw pictures what would the legal implications of that be?
There's a belief that laws and political systems are derived from some sort of deep philosophical insight, but I think most of the time they're really just whatever works in practice. So, what I'm trying to say is that we can just agree that what OpenAI does is bad and should be illegal without having to come up with a moral imperative that forces us to ban it.
Make the page 15x more bloated with JavaScript popups and it'll be "modern".
While I agree that it's somewhat bad that there is no distinction between lossless and lossy jxl in the file extension, I think it's really not a big deal compared to the present situation with jpg/png.
The reason being that if you download a png file you have no idea if its been converted from jpg, if it's a screenshot of a jpg, or if it's been subjected to lossy reencoding by a tool or a website upload process.
The only thing you can really do to try and see if the file you've downloaded has suffered encoding loss is to do an image search on it and see if there are any better quality versions out there. You'd do the exact same thing with a jxl file.
The ads are subliminally manipulating the sort function of my spreadsheet that calculates the unit cost of every product in a category.
But the fact that even just a single rail car holds 360 commuters, equivalent to 180 cars or more on the highway changes the math completely.
Absolutely. The fact that 3 million people pass through Shinjuku station every day is a testament to that.
If all of those people lived in a city in the US it would be the country's third largest, behind NY and LA. (If we're going by the entire urban area instead of just within city limits it would be the 20th, just ahead of the Baltimore-Columbia-Towson metropolitan statistical area.)
All in a space that's smaller than most highway interchanges.
And that's not even using two-level train cars (which is where your figure for 360 people per train car comes from I think?).
I think you may have misread their comment.