Even if it takes 100+ years for quantum cryptanalysis to become viable I would rather we start switching over to better algorithms now.
it’s basically a slug at that distance and will %100 go through drywall.
Hey it's gotta go through some fiberglass, glued-together wood chips, and plastic siding too. They just need a few layers of wet tissue paper on there as well and they'll be golden.
If you're curious:
https://en.wikipedia.org/wiki/Zombo.com
Back in 1999 a lot of websites would consist of a full-page Adobe Flash program (something that no longer works in modern browsers) a bit like how a lot of websites now are basically JavaScript apps. Because the speed of internet connections was so low back then it could take a long time for those flash apps to load all their content, so while you were waiting they might play a little animation or something that served as an "intro".
Zombo com was a parody of those websites. There was no actual content, it just played a really really long intro that consisted of colorful blinking circles and audio of a guy saying variations of "welcome to zombo com, you can do anything here, anything at all" over and over again.
Solar panels aren't worth it for a normal EV, but supposedly the Aptera is so small, lightweight, and aerodynamic (with that teardrop shape) that they actually add a significant amount of range.
Farmers right now are fighting a legal battle for the ability to repair their own tractors.
It's not good for farm equipment to be locked down and sealed off just like it's not good for operating systems to be locked down and sealed off.
Nah, the cost of labor + materials + distribution is the minimum price of an item. The actual price in practice will be that price + whatever the manufacturer can get away with charging.
What determines the premium they can get away with is whether or not alternative goods exist and whether or not the consumers are informed of them, motivated to seek them out, and capable of making the switch.
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".
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.
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.
The US has lower rates of food contamination from e.g. Salmonella or E coli, which I think is what that study is measuring. However, I think food in the EU generally has superior, better tasting, ingredients. There are two reasons I believe this to be the case. The first one probably has a smaller impact than the second.
The first reason that in the US an ingredient must be proven to be harmful before the FDA is allowed to ban it. In the EU an ingredient must be proven to be safe before it is allowed in commercial products.
The second reason is that while both the US and EU have farming subsidies, the way these subsidies are structured means that in the US they tend to incentivize the use of high fructose corn syrup and the production of highly processed foods while in the EU highly processed foods tend to be more expensive and "whole foods" tend to be cheaper.
As a result people in the EU tend to eat less processed food as a percentage of their caloric intake:
I'm more excited about those Frore MEMS airjet chips.
That's actually in at least one consumer product right now.