And then technology just froze. No sensor components got cheaper. Computer vision stopped, as a field. Multimodal AI didnâ(TM)t get invented. Robotic hand technology development stopped. Robotic planning and error recovery did not progress. Time just froze, after McDonalds ended its robotic program.
The most concerning part should be that the utility isn't auditing it's service. The most basic check is to compare water pumped or otherwise brought into the system against water usage billed to customers. Those two numbers should be equal, any discrepancy indicates leaks or other unaccounted-for draws. Any discrepancy should also be relatively stable, with any large variations correlated to known main breaks. You especially audit things immediately after a major change like bringing smart meters on-line to catch problems like this.
The sticky note under the keyboard or in a desk drawer is actually pretty secure. Most attacks are remote, they've no way to read that note. The social-engineering attacks don't target people who'd go to your desk either, they either target you directly (you already know your password) or support people who don't need to know your password to give them access.
I have to ask, are these platforms even trying to secure their systems anymore? Because I keep seeing of more and more of these breaches, involving more and more platforms, and the attacks are less and less sophisticated. I hear companies talk and talk about security, yet their day-to-day practices require their employees and contractors to violate practically every good security practice and treat the red flags of an attack as normal company practice instead.
Occam's Razor no longer applies, because at this level malice and incompetence are indistinguishable.
This isn't really a new result, nor tied to genAI. Machine-learning models have a long track record of being able to identify medical problems better than humans based on records. Not really a surprise, the problem is essentially one of pattern matching and machine learning is _really_ good at extracting patterns from large volumes of data and then matching new data against those patterns. I wouldn't apply genAI to the problem, though, the established ML systems do a better job using fewer resources.
> I'm just so tired of waiting for Windows to get better.
Sigh. And as we all know, it's just accelerating at getting worse. I wish I could be just Linux.
I do not want an input only device, and if I want headphones, I'll put one in each ear I want one in. Rarely is that both ears, and usually I consciously and specifically pick which ear I want.
What I do care the most about is a screen. I'm not so hung up on screen size or quality for now, I just want something that I can use easier than my phone. If you don't have a screen, what is the point?
Not really. All the examples you give are cases where, if everyone follows the rules, you know what you're going to get before you pay for it. In gambling, if everyone follows the rules you do not know what the outcome will be. Which is the case with futures trading, you don't know what the price/value of the commodity will be when the contract comes due.
Probably. But then slot machines and roulette don't look like gambling from the casino's POV either.
My take was: "Buddy movie in space."
It was fine.
The rule on staying alive as a program manager is to give 'em a number or give 'em a date, but never give 'em both at once.
