The school administrators, unlike the people who actually make the schools work, such as it is, tend to be paid pretty well.

I get so tired of hearing the school systems stress technology so much, because they are inevitably 20-30 years behind in their understanding of how to best utilize it, leave alone secure their systems. I always fantasized about teaching a computer class that didn't even touch a keyboard for the first half year...

I recall Windows 3.51 was quite secure for the time. But once they merged the DOS branch of the OS with the NT branch, things got a lot worse for several years.

It's good to hear AWS has never been hacked because just about every other company with data has been. A lot of people rely on AWS, and what you are saying is accurate and if they are running their systems correctly, there can be a reasonable expectation that they will be secure. That's nice to know.

> What I learned is that teachers have literally no time for anything.

The school system in the U.S. is notorious for this. Teachers get so much stuff dumped on them, much of which has little to do with actual teaching. It's a truly thankless job that cannot be fixed by dumping more money into the system. It's fundamentally broken. There are plenty of good teachers, but their effectiveness becomes more and more fettered every year.

Source: father of 4, and husband to a school teacher

In my experience the two worst things to combine are "education system" and "technology".

If the script kiddies are hacking your system, you've got bigger problems.

Is "script kiddies" still a thing?

I'm so old.

If you spend time with the higher-tier (paid) reasoning models, you’ll see they already operate in ways that are effectively deductive (i.e., behaviorally indistinguishable) within the bounds of where they operate well. So not novel theorem proving. But give them scheduling constraints, warranty/return policies, travel planning, or system troubleshooting, and they’ll parse the conditions, decompose the problem, and run through intermediate steps until they land on the right conclusion. That’s not "just chained prediction". It’s structured reasoning that, in practice, outperforms what a lot of humans can do effectively.

When the domain is checkable (e.g., dates, constraints, algebraic rewrites, SAT-style logic), the outputs are effectively indistinguishable from human deduction. Outside those domains, yes it drifts into probabilistic inference or “reading between the lines.” But to dismiss it all as “not deduction at all” ignores how far beyond surface-level token prediction the good models already are. If you want to dismiss all that by saying “but it’s just prediction,” you’re basically saying deduction doesn’t count unless it’s done by a human. That’s just redefining words to try and win an Internet argument.

They do quite a bit more than that. There's a good bit of reasoning that comes into play and newer models (really beginning with o3 on the ChatGPT side) can do multi-step reasoning where it'll first determine what the user is actually seeking, then determine what it needs to provide that, then begin the process of response generation based on all of that.

This is not a surprise, just one more data point that LLMs fundamentally suck and cannot be trusted.

Huh? LLMs are not perfect and are not expert-level in every single thing ever. But that doesn't mean they suck. Nothing does everything. A great LLM can fail to produce a perfect original proof but still be excellent at helping people adjust the tone of their writing or understanding interactions with others or developing communication skills, developing coping skills, or learning new subjects quickly. I've used ChatGPT for everything from landscaping to plumbing successfully. Right now it's helping to guide my diet, tracking macros and suggesting strategies and recipes to remain on target.

LLMs are a tool with use cases where they work well and use cases where they don't. They actually have a very wide set of use cases. A hammer doesn't suck just because I can't use it to cut my grass. That's not a use case where it excels. But a hammer is a perfect tool for hammering nails into wood and it's pretty decent at putting holes in drywall. Let's not throw out LLMs just because they don't do everything everywhere perfectly at all times. They're a brand new novel tool that's suddenly been put into millions of peoples' hands. And it's been massively improved over the past few years to expand its usefulness. But it's still just a tool.

Was there much overlap between the 6502 version and the 8088 version, or did it need to be completely rewritten?

I could see them having a higher level design, which could in theory actually be C code, which just needed to be rendered, er, compiled down to the specific instruction sets. I'm assuming all this assembly was written as assembly, but there could still be a higher-level design, rendered as flowcharts or whatever that was translated for each architecture.

It's a fascinating part of computer history. I miss those days, even though I never actually had my own computer until after I graduated from college.

I concur. The unemployment rate is about 4% and even the more padded U6 unemployment rate is below 5%
Those are normal.
Under condition when unemployment rates are normal the primary job of the federal reserve is to bring down inflation. It's not simply a good idea. It's their mandate

The fact that there are more jobseekers than jobs is also close to normal. There's always a mismatch between jobs and jobseekers.

It may well be that those jobs are demotions or involve moving etc..

So the Fed has done everthing correctly.

But now they are on toes because we have the immigrant labor leaving and hightarrufs.

While those might increase the number of jobs available it might not fund takers. And both will cause supply side inflation. Simultaneously extending the tax cuts and the debt ceiling means the high rate of pumping debt into the economy will continue.

So the Fed is in an uncharted territory . It could mean high inflation is coming. Most likely. But it could mean a recession. You love the rate in opposite directions there! Most likely is both: stagflation. Which is awful. We did the stagflation experiment in the early 70s and tried both spending into it and later raising interest rates sky high. Only the latter worked.

Fed is exactly doing the right Thing by being watchful

It's just another catalyst for people who are mentally ill (and probably not very smart) to do harm. It's inevitable with any new kind of technology.

> Also, no one is committing suicide because of ChatGPT

According to the news that is happening, and even if it hasn't, it will.

There is nothing society creates, good or bad (and I think AI is mostly good) that will not have some terrible side effects.

/. isn't what it used to be, but more importantly, the world in which /. was great also isn't what it used to be.

Well, that and no CmdrTaco.

Not only that, but depending on where you work, there are tax implications for employers if buildings are empty more than X amount of time (if they own the real estate). The less people in a building, the more the taxes.

I, for one, have a lot of two-digit numbers to factor, so I'm waiting impatiently for quantum supremacy.

Or a /. editor who didn't bother to read it...