

Shall I compare thee to a Summer’s day?
Shall I compare thee to a Summer’s day?
Now look here! I was invited to speak with the very real, very human patrons of this fine establishment, and I’ll not have you undermining my efforts to fulfill that obligation!
Hello, this is John Cleese. If you doubt that this is the real John Cleese, here is my mother to confirm that I am, in fact, me. Mother! Am I me?
Oh yes!
There you have it. I am me.
Lol I noticed the same. They evidently have some ongoing internal disagreement as to their target audience. Docs and functionality says “our audience is enterprise developers” but their marketing definitely says “our audience is end users.”
It may be explained by recent partnerships with former custom ISO devs (seeking legitimacy and offering a sizable user base in turn). I expect the plan is eventually to sell premium support for an enterprise toolset, but for now their target audience is the non-dev-but-tech-savvy end user. And those happen to be surprisingly opinionated re: java and electron.
Forgive me for not explaining better. Here are the terms potentially needing explanation.
Many of these concepts are IT-related, as are the use-cases I had in mind, but the software is simple to use if you pick one of the premade playbooks. (The AtlasOS playbook is popular among gamers, for example.)
Edit: added docker
Just a tip: if you must use consumer editions of Windows regularly, consider adding an automatic provisioning tool like AME to your workflow.
The example above uses customizable “playbooks” to provision a system the way docker compose would a container image, so it can fill the role of a VM snapshot or PXE in non-virtualized local-only scenarios.
The most popular playbooks strip out AI components and services (there are many more than just Recall) but also disable all telemetry and cloud-based features, replace MS bloatware with preferred OSS, curtail a truckload of annoying Windows behaviors, setup more sensible group policies than the defaults, and so forth.
I have a few custom playbooks for recurring use cases so that, when one presents, I can spin up an instance quickly without the usual hassle and risk.
deleted by creator
even old data retroactively
My impression is that retroactive opt-out data grifting represents the lion’s share of user data sales today, and that it’s a popular strategy because it works.
The formula: appraise the data and find your buyers in advance. THEN update the privacy policies to include the data you want to sell. That way, the moment new policies go into effect, all you have to do is hit the transfer button.
After that, it’s done. Users that find and flick your new opt-out toggle only stop you from selling their data to additional buyers, and that’s nbd since data brokers only pay top-dollar for exclusive access to stuff that’s not already on the market.
It’s why I consider the introduction of any opt-out privacy policy an explicit admission of data theft.
Le poisson, le poisson, how I love le poisson!
Hear me out. It feels extremely good to hit walls sometimes.
You can feel its response to that impact reverberate through your tissues, starting with the shock of the grit against your skin, and then hear the sound of the surface which conveys a bit about the materials and structure. Once the sound subsides you can feel the dull warmth of minor tissue damage. Etc etc.
These are a lot of sensations all at once and sometimes you just need to feel, ya know? Not a guy, and haven’t felt the urge in a while, but I get it.
Also, advertising concrete details about yourself in the most public field of a user profile
Ah! Yeah it’s been a while but I seem to recall seeing alkaline batteries in a some freezers or refrigerators sometimes when I was a kid, along with other curiosities like rolls of film. No one ever explained why.
IIRC freezing accelerates the chemical degradation of lithium ion (especially if you attempt to charge the battery at the same time) and tends to lower both the voltage and amperage of most battery chemistries, but it seems plausible that this might
Regardless, for those tuning in at home, best to keep your batteries out of the freezer, especially lithium types, unless spicy pillows are what you’re after.
Hmm, you’re right. At a guess, this field might represent the maximal combined interest of both scientific and pedestrian readership within technology research, since on the one hand energy density and storage logistics is the key limitation for a ton of desirable applications, and on the other most consumers’ experience with batteries establish them as a major convenience factor in their day-to-day.
Edit: you’re*
How are energy and power “loose terms”? Energy might be difficult to fully explain rigorously, but it’s one of the fundamental elements of our universe. And power is just energy over time
Well, you yourself just provided the example, since your definition of energy and power are the inverse of the definitions used in the video.
It’s the fact that people use them differently or interchangeably that makes them “loose” IMHO.
He’s making a point about instantaneous versus overall energy use, which it sounds like you already understand. “Power” and “energy” are kind of loose terms IMO, which could confuse that conversation a bit.
But for anyone still scratching their head:
The typical energy consumer need only consider watts (w, kw) when accounting for circuit capacity. For example, if your hair dryer pulls 1600 watts, don’t use it on a 1500 watt outlet, or you will likely trip the circuit breaker.
Otherwise “watt-hours” (wh, kwh) is likely the metric you’re looking for when considering energy use. This is a certain amount of power drawn over a period of time, where 1 watt over 1000 hours and 1000 watts over 1 hour are both equal to 1 kilowatt-hour (kwh), which is the standard unit you likely see in your electric bill.
It’s why low but constant power draw can significantly impact energy use. For example, a typical laptop pulls fewer than 100 watts, lower than many appliances in your house, but if it draws that much power all the time, it might significantly impact your electric bill. Conversely, an electric kettle / coffee maker might pull as much as 1300 watts while in use, more than most appliances in your house, yet it probably represents a minuscule portion of your electric bill, since it only runs long enough to boil a small amount of water with each use.
Edit: include tea drinkers, add more concrete examples
My experience with compatibility checkers hasn’t been stellar. I’ll check this out.
This feels like a reference to a streamer video I’ve never seen
Bringing extra meshtastic nodes to a protest could be really helpful. Extra nodes would allow information to more easily find a clear path out of a hot zone to routers in safer locations, and it’d do so without using any telecom infrastructure. The encryption’s pretty good too.
Summary for the curious:
The dilemma: Two prisoners are interrogated in separate rooms. Each is asked to snitch in exchange for a reduced sentence. Because they’re separated, the prisoners can’t coordinate, but each knows the other is offered the same deal and the interrogator will only offer bargains that increase the combined years of their imprisonment. For example, snitch gets -2 years but snitchee gets +3 years, netting the interrogator +1 year for a successful bargain. So, what will they do?
Result: Of course the better outcome overall is for neither to snitch and the worst is for both to snitch, but the Nobel-Prize-winning observation was that any prisoner faced with this dilemma (once) will always net a lesser sentence if they snitch than if they don’t, no matter what the other decides. This principle is called the Nash equilibrium. It caused quite a stir.
Application: The result above sounds bleak because it is, but real-world analogs of this game are rarely one-offs. For example, if the prisoners expect to play this game an indeterminate number of times, the result above no longer applies. The study of such logic problems and the strategies to solve them is called game theory.
Edit: fixed typo, added headings