Why does this remind me of TempleOS in some way? I have a very strong suspicion that if Terry Davis was still alive that he'd be all over AI in this way.

Business have liabilities - legal, civil, on and on. AI will be awesome at saving businesses money by replacing employees - until it results in a massive liability that costs them far more money than it saved them. Especially if the court systems have no sympathy for these kinds of business practices and don't cut them slack when it happens.

We've already heard of what is just the tip of the iceberg, where support chatbots hallucinate things, like telling a customer they will get a full refund for their car because it isn't running right. Once this kind of stuff gets worked out in court, that these kinds of things are legally binding, you better believe a lot of businesses will be very, very afraid of using AI.

I have two questions. One, why would this not be instantaneous? I thought the point of quantum computing was that all states were visited in parallel, with it collapsing on the final state pretty much instantly. You set up the starting state, and it collapses into the result. At least that's what I've always heard.

The second, is how do you know when you've successfully decrypted the data? What if you end up with data that looks correct (like a credit card number, or a valid sentence that even makes sense), and it produces the correct checksum (because there are many, many collisions in checksums), but it is not the original data? So does this produce every valid output (valid via checksum or other method) for the input, and thus you still then have to brute-force test each candidate?

Linters and other tools to analyze code have taken over this role. Back when Java came out the only option was baking it into the language itself, which I agree is too rigid.

By accumulating the energy until it reaches a threshold where it is emitted. Like most everything else that can be "charged" by light and release it by glowing later.

This isn't converting the wavelengths of IR to some other wavelength like a filter. It just kind of soaks up IR light and glows it out as visible light. And even then it is taking an extremely strong source of IR light from an LED to work. You know how you can close your eyelids and still see a bright light like the sun glowing non-distinctly? It would be a lot like that. The glow is so faint that it really can't be seen in a bright light environment, which is why it works better with eyes closed (again, with a bright spotlight-like source of IR beamed at the eye).

Neat, but this isn't going to turn you in the the Predator seeing in IR or something.

It means the other 17 hours it produces unusable nonsense that superficially looks correct that a human then has to spend 40 hours sorting out and fixing.

You must not have a lot of experience with unions to think there's anything odd about this behavior. It's pretty well expected for them to pull something like this. It's not about protecting the artist, it's about getting their cut and maintaining their control.

Like executing extra code to check for various memory safety rules?

It's not about any controversial topic or language. Sure, the paper may sound totally reasonable, but is the data real or fabricated? Is the methodology sound? It sounds like it wasn't.

I'm not an AI expert, but I believe this pathway of creating a monolithic AI that is in and of itself the reasoning, knowledge and computation is the wrong way to go.
Stephen Wolfram (of Mathematica / Wolfram Alpha fame) had insight that LLMs would be best served as an interface between user queries and the knowledge / computation engines, instead of attempting to be the knowledge and computation engines themselves.

An analogy is asking a person to add up 100 numbers in their head as you call them out, versus asking a person to use a calculator to add them up as you call them out. The calculator is pretty much infallible in this regard, as that is what it is designed to do, while a neural net may decide 1 + 1 isn't actually 2 on occasion (partially due to temperature for one thing). It would also require drastically less computing power, as the calculator is optimized to do that task, while a neural net has to build up a bigger and bigger token memory to hold the contents of those calculations in a much slower and inefficient way.

They are already heading in this direction, for example you can see LLMs are now actively accessing the internet seeking out relevant information that is the source of what they produce, as opposed to that information having been cooked into the LLM's weights during training.

Great, this will make it much harder for us to stop Skynet.

I don't know how malicious this is, or if China can exploit it, or even any hackers in general. The thing is, in this day and age many microcontrollers contain "communication devices" built in, whether they are needed or used. Like ESP32 microcontroller modules, that only cost a couple bucks each, have WiFi and Bluetooth built in.

There's strong incentive to use cheap generic microcontrollers for most anything like this now, and it's usually cheaper to use some generic mass-produced thing with extra capability than design chipsets for specific uses. Everything from CPUs to vehicles have built-in capabilities that are turned off, because they aren't needed or haven't been paid for and unlocked.

I strongly suspect that's the case here as well, but you never know.

Bill Gate's 3 kids are only going to inherit around 1% of his worth each. His net worth is $102 billion, so that means they only get around $1 billion each. Poor kids.

https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fpeople.com%2Fbill-gates-...

Google's cached webpages are no longer available for individual consumption, and it's dawning on me it may be for this very reason. By keeping their cache private they are keeping the value of it (IE pre-AI era) for themselves. Perhaps for use in training since it hasn't been corrupted with AI generated content.

The Internet Archive is a great thing, but it's by no means browsable in any useful way. It's mainly for viewing a specific page's archive, with gaps and disassociations between the specific times things were crawled.

I'm wondering what it would take to identify and label "pure" internet content that at the very least already existed prior to AI and is unchanged. You know how a browser tells you a website is "secure" and certified, etc? How about one that indicates that the page's content pre-existed AI. It could grab the page from the Internet Archive, generate a checksum, and compare it to the live version. Lots of caveats of course, like filtering dynamic content (ads and the like) that do change.

Obviously the statistic refers to long-term drivers. It's not like there's some sort of curse that anyone whose driven a truck is going to die early.

The three reasons:
Lack of health insurance since a lot of drivers are self-employed doing gig-work. Employers don't often provide health insurance, and also due to the church with drivers switching for the sign-up bonuses they often don't stay long enough for insurance to kick in.

Sitting long periods is really, really bad for you. The more studies that come out, the worse they find it is. Sure, lots of office workers sit, but they can also stand any time they want and take a short walk. That isn't something a truck driver can reasonably do often, especially since it's hard to even find good places to park a big rig.

It's hard to eat a good diet on the road. You can't really prepare your own food, so you have to eat at truck stops and the like regularly. That is what did my uncle in - he developed type 2 diabetes, which he could not control on the road, and died an awful death of blindness and kidney failure. He did dialysis at home and lingered for several years before dying.