No, it's more likely that girls and women learned to mask symptoms early for survival reasons.

If you look at hunter-gatherer societies, ADHD is paramount to survival because it avoids over-harvesting. Too little ADHD produces cultures prone to driving plants and/or animals extinct. ADHD is a critical stop-gap that prevents this. Studies show ADHD gatherers will not only collect more, they will do so in ways that cause far less damage, resulting in a far better second harvest and far better sustainability.

Into more modern times, ADHD was a valuable survival trait. Too little and you became vulnerable to diseases, pests, crop blight, etc. If you wanted a stable population, right the way through to the industrial era, you needed a high level of ADHD in the population.

It is only when neurotypical bosses decided that they had to micromanage everything and decided who lived and who died on the streets that you see ADHD symptoms suddenly and massively suppressed. But masking changes nothing. The levels will still be the same, they're just hidden.

It isn't. The under-diagnosis of girls is astronomical.

You are assuming ADHD is a new thing. No, it isn't. It is a survival thing. ADHD was critical in a very large percentage of the population for the bulk of the last 350,000 years. Without it, humanity would have gone extinct. It's merely not appropriate in a world in which neurotypicals make neurodiverse solutions a "bad thing".

They might drop by a little, but honestly not by much. Boys are mildly overdiagnosed for the reasons you give (but few places still medicate), girls are however massively underdiagnosed.

I never got myself into the whole "masculinity" obsession, even back in the 70s and 80s. The result of this was a discovery that computers launched me head-first through far fewer windows and pelted me with far fewer rocks. So, yeah, I was definitely seen as disposable though my childhood and teen years by pretty much everyone. (It's one reason anyone looking back at those as "golden years" is unlikely to win me over.)

Escapism is pretty much all I had at the time, and these days remains pretty much all I have - reality has grown far worse over the years and knowledge by the neurotypicals has not come with empathy but ammunition. There is guilt and shame in playing with creative writing or inventing, and the demons have got really bad on occasion, but you're right, it's not doing anyone any harm.

Both. It's best thought of as a positive feedback loop.

The algorithm seems to have been failing to scale correctly, yes. On closer inspection, it looks like the billing software treated the bytes used as K used.

Did AWS use Grok to generate the billing sheets or the code for handling billing?

I'm serious. The errors reported look suspiciously like AI hallucinations or a signed integer being treated as unsigned.

Good question. Their POWER series of CPUs were not insignificant in capability, their chip designers were clearly technically sophisticated, and GPUs are just specialised vector processors with a few extra bells and whistles - stuff IBM is extremely familiar with.

It would not have been difficult to release a GPU or other LLM-specific processor to go along with the POWER11. They'd been working on the POWER11 for 4 years, they knew in 2020 that LLMs had a strong potential to be significant for Big Data processing - an area you use big iron for, they're not rank amateurs, they have plenty of reserve, they could have assembled an emergency team to build a vector processor that was custom-designed for just LLM work, and released an LLM processor card that could run circles around nVidia.

They didn't. Because, as has happened before, their management is simply too stupid and too slow.

They can work, but they have major issues.

1)For at least the first 6 months, if not the first several years, it will take more time and money to teach them than they generate. Why would any company do this?

2)As a hiring manager at company B, I see you apprenticed at company A. I have no idea if that means you're qualified. I can't trust company A to tell me, they're a competitor. Schools stand as a neutral 3rd party telling me that they've completed a set curriculum and should know that much. It's not perfect, but it's a start.

3)Some fields just have a huge amount of up front learning before you can be useful at all. Apprentice plumber? You can run and fetch tools and hold things in place while you watch and learn. Apprentice electrical engineer? You have no idea what inductance is on day one. There's literally nothing you can do. So basically at this point you're hoping the company sets up a school.

I suspect GP's point is that every malware blocker in every browser is likely to treat this kind of script as hostile, except for Chrome because Google are currently nerfing the ability for blockers to intercept hostile scripts in one of the most blatantly user-hostile changes they've ever made.

If Apple play along with Safari then every other browser and its malware blocking plugins are about to be toast in a huge retrograde step for Internet privacy. But not even Cloudflare is going to get away with blocking every iOS device if Apple continues to allow blockers to intercept this kind of script.

Did anyone mention recently that simultaneously controlling both the most popular web browser and several of the most popular ad-supported web properties might be a little anticompetitive, and that it's about time that Google was broken up? It's probably time for that drum to start beating a bit louder again.

What if...

Someone (say someone who was familiar with doxygen and GCC) developed number of comment types, where some stipulated preconditions that must be true for the function to run correctly, postconditions that must be true once the function has run, kernel facilities that the function definitely needs, and kernel facilities that the function definitely doesn't need. These would all be optional for any given function.

A static checker could then validate if the code meets the behaviour expected by the programmer. This is precisely what is done in SPARK, a fork of Ada for high-reliability code. Combined with existing static checker capabilities, this would greatly increase the number of bugs that could be caught with all kinds of tools, AI included.

It could ALSO build a full fine-grained mapping for any fine-grained mandatory access controls system. You'd also want includes that you could import for precompiled libraries. This would allow someone to verify if the code was making unanticipated/undesirable calls but would also make SELinux possible to develop for at the application level.

It would not be trivial. If it was trivial, it would have been done simply because it already IS done in other languages and that makes it "obvious" to anyone who has been programming for a while. However, it should not be massively complicated, simply because you can use AI as the static checker. Once it has a definite set of bounda that must be satisfied, it should be much more capable of knowing what paths would violate those bounds. Which means that the checker stage essentially is trivial today, leaving only the markup stage.

Is to set coursework and exams that are specifically crafted to exploit where AI is weak or prone to hallucinate.

You do not ban cheating, because those who cheat will inevitably find ways to circumvent the ban.

Rather, you exploit the properties of the mechanisms of cheating to ensure that those who actually understand the ideas are marked relatively highly (regardless of whether they reach the textbook conclusion) and whose who do not understand the ideas cannot do well even if they give what is in the textbook.

The interest should not be in precise answers, but in precise use of tools of reasoning and analysis, because this is what actually matters when it comes to understanding. Yes, it means you can't standardise so easily, and you have to devise things in ways that don't penalise intuitive thinkers over methodical thinkers, but you cannot teach a subject properly if you are only concerned about the surface.

Can we add "surprise and delight" to that list of firing reasons?

I didn't see a 5.6 option on the Windows client last night.

Haa anyone else observed 5.6 in the wild?

Trump doesn't need to have power, he only needs to create fear, uncertainty, and doubt.

Companies are risk-averse, which is why Anthropic pulled their AI model for a while.