Anyone else notice the time in the photo is set to 10:08:59, which is one second before Apple Watch marketing material using 10:09, which itself is 1 minute before the traditional 10:10 used by the watchmaking industry?
It has been commonplace for analogue watches to be set to 10:10 or more often 1:40 so that the hands are pleasingly symmetrical and mostly frame the logo. I think this is just a carry over from that. The figures you use mention probably create that arrangement more accurately, though of course completely unnecessarily!
He's describing my great grandmother's childhood in territorial Arizona, down to the riding a horse to a one-room school house. Her family were all tough ranchers living a lifestyle most of us can't really comprehend.
My mother and step-father were both state cops. They put in about 30 years each, but could have retired after 20 years in. They make more in retirement than my wife and I do. It pays quite well, but it comes with significant risks.
But fewer risks than people make it out to be. When people publish the lists of riskiest occupations based on health data, on the job injury data, etc police officers generally wind up around #20 +/-. Meanwhile there are occupations that are much lower paid ahead of them.
At least in my state the actually high risk portion of their job…dealing with traffic collisions on the highway…is being outsourced to non police “hero units”
Tells me we can change what police are and aren’t responsible for, and it is telling which ones they want to drop and which ones they don’t.
Incidentally, that's a big part of the argument behind "defund the police" (which is poorly named, at best). Instead of having police do everything, almost none of which they have any training in, and making any situation potentially lethal just by virtue of them having guns, there should be specialized units for their various responsibilities.
Where I live this has also created a secondary debate. Due to union laws, when these jobs are handed off to non-police, the municipality must still pay the prevailing wage, aka what the cops were getting paid.
Here it's required to have a police detail at every road based construction site. They get paid overtime to sit there playing candy crush in case maybe something happens requiring them to direct traffic. So it seems like a win-win to replace them with citizen flaggers as it'd remove the cops from that role but also drastically lower cost to the city. But no, it'd mean taking what should be a minimum wage job and paying someone $50-100+/hr to do it.
And then the secondary debate is that some people see this as a bad thing and others see it as a good thing.
There are lots of ways to quantify or record "risk"?
Risk of death?
Risk of injury? How much injury? I've had paper cuts recorded as workplace injuries, I've also had to get stitches after bleeding profusely, are both equally recorded as risk incidents?
What about the risk of getting shot? Just the risk, will I get shot today, has a physiological impact, is that risk recorded?
What about the risk of moral injury? The potential that you're hurt in your soul, because you failed, and someone got injured or hurt?
What about the risk of infectious disease or transmission from needles, blades or bodily fluids?
Police may be a safer job than forestry from a death risk, but there are many risks for police.
I am not sure why some people seem to hate the police so much that downplaying the risks police face. I used to sell drugs and the police were my adversary, but I don't hate them as much as people who have never been arrested. It's very strange. Who do the cop haters call when thieves are breaking into their home with guns?
> Who do the cop haters call when thieves are breaking into their home with guns?
For one thing it doesn't happen that much in the first place. In 2024 the rate was 229.4 per 100k in the USA [1] And yet this always gets cited as some reason to keep the police around. These sorts of threats that people cite are exceedingly rare, and yet used to fuel a vision of the world that's one of requiring constantly vigilance and paranoia.
Also, my mom's house was burglarized, unknown if they had guns. After that, she got a home alarm.
My mom moved do a different part of the city, and her home was broken into at night while she was asleep. The home invaders continued as the home alarm was going off, and only stopped when a group of male neighbors started shouting at them. Presumably the criminals had weapons to conduct their home invasion.
In Toronto if you call the police because of armed home invasion, you’re connected to an AI that decides whether to escalate to a human operator. But if you do get connected they’re not going to show up anytime soon.
The advice given by Toronto police is to leave your car keys out by your front door so that armed home invaders can get what they came for with ease. The police don’t show up to protect you and your property. They also don’t want to risk their own safety around armed invaders.
It is really high, but it's high because cops interact with traffic a lot, not because of criminals or guns or whatever. Real life isn't CSI Miami, cops are mostly sitting in cars. You'll notice crossing guard is much higher up the list, for the same reason.
Pizza delivery drivers face about twice as much risk of on the job injuries via violence when compared to cops. Also twice as much risk of fatal injuries. This mythos the US has with cops does not match reality.
Police aren't in the top 10 of most dangerous professions in the USA[1], and when they are injured, it's overwhelmingly the result of traffic accidents.
What are the risks? Even among public employees I'd imagine firefighters are in dangerous situations more often. The data doesn't show that policing is an especially high-risk profession. EDIT: https://news.ycombinator.com/item?id=48095469
The irony is that the municipalities that pay the most are typically the lowest risk. The most dangerous thing they will do is pull someone over on the side of the highway. Sure, not exactly safe, but also not exactly gunning it out with the bad guys.
I imagine it would be a big lift. Asahi linux is managing through reverse engineering the hardware support, without any official documentation. Even with official documentation it would be a significant change from other aarch64 hardware.
I'm curious why I would want to dual boot Windows when there's a perfectly good hypervisor and paravirtualization built into macOS?
Arm-based windows support via Parallels does work, but AFAICT there's no official way to buy a Windows license due to a Microsoft/Qualcomm partnership.
I taught myself to juggle in a weird way. I had 3 lightweight plastic cubes, laid down on the bed, and began tossing them directly over my head (my hands on either side of my head). I think it gave me a good sense of where each cube was at all times.Once I got good at juggling supine, I just transitioned to sitting up straight.
Reminds me of stumbling across the Harvard Mark I, which is about 1-2 years older, while wandering through the Harvard Science Center (as one does). By far the oldest computer I've seen in person. Seems they moved it since then to the Science and Engineering Complex.
>Most radio SETI projects process data in near real-time using special purpose analyzers at the telescope. SETI@home takes a different approach. It records digital time-domain (also called baseband) data, and distributes it over the internet to large numbers of computers that process the data, using both CPUs and GPUs.
Definetly something going on here I'm not following.
>SETI@home is in hiberation. We are no longer distributing tasks. [0]
Is this paper really old or something? I would love to turn on my clients again :D
I'd discourage claiming any biological process is "solved."
But to your point: No--AlphaFold is an amazing machine learning approach to predicting protein structure but Folding@Home is still immensely useful for simulating how proteins fold up over a timescale. They are/will be complimentary methods.
no, alphafold is basically just a static structure predictor. folding@home explicitly models the folding process (the journey, not just the destination).
They went into hibernation, in terms of accepting new inputs, several years ago. They had more data than they could handle and switched to just analyzing existing data and final reports.
