A company with a security model so bad that an AI agent could wipe the whole thing out was one rogue application away from disaster anyway.

What I see: No backups, no disaster recovery, no separation of privilege, no sandbox, no development environment.

Play Stupid Games, win Stupid Prizes.

I had a lengthy conversation with a doctor once, and it revolved around the "90% problem". 90% of the time, a patient who presents with symptom "X" has condition "Y". I said OK, what if the patient has something else? What if they're part of the 10%?

Well, according to the doctor, it would take an overwhelming amount of evidence to convince the doctor it *wasn't* condition "Y", before they'd even look at other options. If you happen to have a condition that might only affect 1% of the population, chances are you may die before any doctor looks beyond the 90% causes. I get that they *start* with the 90% case-- that makes sense. Jumping to the rare cases is a bad idea ("It's never lupus"), but you have to be willing to admit your initial diagnosis was wrong, and many doctors just... can't.

AI is better than that.

I'll use one of your examples against you: "blood tests indicating high sugar = Diabetes". Well, no, because diabetes is a generalized term. There are other tests to run that might narrow down the causes more significantly, but, most doctors, like you, assume "diabetes" and stop there. If the person is skinny, it might be type 1, if they're fat, it's obviously type 2. Was *literally* told by a doctor "you're fat, of course you have diabetes"-- Now, that was *technically* accurate, but the two were both triggered by an underlying condition that any endocrinologist should be able to recognize. She didn't.

Yes, and no. Most ER doctors are trained to solve the emergency-- get the patient to a non-emergent status, and possibly admit them, but beyond that, their remit is not to cure the patient, but to resolve the current crisis.

OK-- how about this real world example:

For 20 years, every doctor I saw made assumptions about my health, and completely missed a simple diagnosis. I noticed something important in 2019, and mentioned to every doctor I saw since, from primary care, to emergent care, to cardiologists, endocrinologists, urologists. None of them listened. They worked rather hard, in fact, to explain away this one fact.

One endocrinologist in 2025 listened, asked a simple question, and made an accurate diagnosis. Probably saved my life. Certainly it's a massive change in quality of life, and will, with any luck, drastically lengthen my life expectancy.

Four major chatbots, from Claude to Grok to ChatGPT and Gemini, when confronted with the single fact I noticed in 2019, instantly provided a correct diagnosis. They weren't ambivalent, they weren't offering it as one of many options, it was a single, clear, accurate and specific diagnosis.

The result of this complete inability to see beyond basic pattern matching is that I had to have major surgery last fall, will probably have to have at least one more major surgery in my lifetime, and it quite literally, nearly killed me.

Doctors are too specialized, too unable to see beyond their preconceived notions. They see an overweight patient walk in (yes, I'm overweight), they automatically start making assumptions, and stop looking for other explanations. And god help you if you're old.

What a myopic view. if AI can scan the codebase to find a vulnerability to attack, it can scan the codebase to find a vulnerability to *fix*. You seem to misunderstanding the premise here.

Also, you say "GenAI", but there's nothing "generative" about this-- it's AI's ability to interpret the code and find mistakes that's under fire by the CEO of "cal".

No more requirement for a Microsoft Account to install a basic effing computer?

No, I didn't think so.

I have many, many complaints about Windows 11.

Explorer speed is not one of them. There's something wrong with your system.

... than hiring someone to do all your schoolwork for you.

But you still graduate stupid. You might even think other countries pay our tariffs, even if you're supposedly a graduate of Wharton.

I guess you've never heard of Flock Safety.

I'm sure Mike Nathe's position has nothing to do with North Dakota's heavy investment into Grand Sky and Vantis, both of which are technology centers for unmanned aerial systems.

If your defense of Ruby is that you can call C routines... I'm not sure you have a defense.

No, try "sucker bought what he thought was a functional part that wasn't".

The material was apparently NOT CF-ABS, and wasn't properly constructed.

Also, under testing, the plastic melted at *HALF* the glass transition temperature of what he thought he bought.

That you can print with "many" consumer printers, Polycarbonate would be a decent choice. Glass transition is around 147 (296), and you can print it at a consumer level.

Alternatively, print it out of PLA, dunk it in plaster, and burn out the PLA. Then cast with an actual metal like aluminum (search for "PLA lost casting" on YouTube).

Glad I'm not the only one who thought this.