Your assertion that the document is malicious without any evidence is what I’m concerned about.

At some point you have to decide to trust someone. The comment above gave you reason to trust that the document was in a standard, non-malicious format. But you outright rejected their advice in a hostile tone. You base your hostility on a youtube video.

You should read the essay “on trusting trust” and then make a decision on whether you are going to participate in digital society or live under a bridge with a tinfoil hat.

In Canada, and elsewhere, insurance companies know everything about you before you even apply, and it’s likely true elsewhere too. Even if they don’t have personally identifiable information, you’ll be in a data bucket with your neighbours, with risk profiles based on neighbourhood, items being insuring, claim rates for people with similar profiles, etc. Very likely every interaction you have with them has been going into a LLM even prior to the advent of ChatGPT, and they will have scored those interactions against a model.

The personally identifiable information has largely been anonymized in these models. In Canada, for example, there are regulatory bodies like OSFI that they have to report to, and get audited by, to ensure the data is being used in compliance with regulations. Each company will have a compliance department tasked with making sure they’re adhering.

But what you will end up doing instead is triggering fraudulent behaviour flags. There’s something called “address fraud”, where people go out of their way to disguise their location, because some lower risk address has better rates or whatever. When you do everything you can to scrub your location, this itself is a signal that you are operating as a highly paranoid individual and that might put you in a bucket. If you want to be the most invisible to them, you want to act like you’re in the median of all categories. Because any outlying behaviours further fingerprint you.

Source: I have a direct connection to advanced analytics within insurance industry (one degree of separation).

Wow, your paranoia is dialed up to 11.

What is this community?

Step one: soap and water. Step two, a mild acid – you probably have a citric acid based bathroom tile cleaner already or similar. Wrap it in a sacrificial towel or similar and let it soak in that weak acid overnight.

Depending on the carrot, the skin can be significantly more bitter. And sometimes peeling can be quicker than trying to scrub dirt out of particular lumpy carrots.

YMMV

LKML and patch: https://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git/commit/?id=0fc810ae3ae110f9e2fcccce80fc8c8d62f97907

He cites his work as being a variant of a patch submitted by another developer, Josh Poimboeuf. It’s a team effort folks :)

So much uncanny valley creepy vibes when it does that. Like you’re anthropomorphizing and suddenly it snaps you out of it haha.

Git is a sort of proto-blockchain – well, it’s a ledger anyway. It is fairly useful. (Fucking opaque compared to subversion or other centralized systems that didn’t have the ledger, but I digress…)

Yeah, there is risk of some chemistry happening at really low voltages which cause irreversible changes to the structure of the material. Given how the battery responded to tests afterwards, I can only presume that these didn’t happen. Short of dissecting the cells and putting them through XRD. Mind you, I do know a few people in the lab…

Oddly enough, it’s probably one of the best and most affordable devices in this sector. You can buy 10-20x units compared to the brand leader (Trimble). So I think they assume that this is how most people will operate.

They’re lithium iron phosphate chemistry, which typically draw down to 2.0V without problems, and tend to be a bit more forgiving. I agree 0.9V is low, but the cells were relatively new. Furthermore, no sign of damage or other typical faults associated with a failing battery, and my battery analyzer (from my drone batteries, same chemistry) approved it. According to my gantt chart, they’ve likely been charged and discharged 75 times since I brought them back to life.

Sadly, because they are a manufacturer device integrated battery pack, and the manufacturer doesn’t sell replacements, my only options would be installing a third party battery pack or buying another device at $1500 or more. I’m happy with the battery recovery process though in this case.

Probably you should add yourself to the list on Wikipedia then ;)

I thought the movie Tenet made this up :)

It’s barely even funny at this point.

Although I’d quibble about Newsweek defining this guy as an oligarch. He was vice president at a company that was disbanded due the company president’s opposition to Putin. It’s very possible this guy is just a former executive that refused to bend or hand over some dirt or something. It doesn’t appear he fits the definition of oligarch at all.

Unless we’re just using the word to refer to all Russians above peasant.

It was designed from its very start to be used for numerical computing. So the language it built around it and it sort of excels in that use case.

This used to be the holy bible of numerical methods, if you want to see some sample code: https://s3.amazonaws.com/nrbook.com/book_F210.html

A lot of the underlying libraries in python are actually written in Fortran (or were when they were conceived, and the Fortran components later replaced). Numpy, for example, was originally pretty much a wrapper on top of BLAS and LAPACK.

This gets even more complex if you’re using a toolkit of some sort. C++ has a batteries-included way of doing something, then STL has another, and Qt yet another… Etc.

Don’t get me wrong. There is still a time and a place for Fortran. And this will also likely always be the case for C++. But I’m not sure it is entirely wise to choose it if you’re creating a new project anymore.

I’ve done a bit of C++ coding in my time. The feature list of the language is so long at this point that it is pretty much impossible for anyone new to learn C++ and grok the design decisions anymore. I don’t know if this is a good thing or not to keep adding and extending or whether C++ should sail into the sunset like Fortran and others before it.

Yeah, was on my phone and it opened the link in the YouTube app. So I don’t see a lot of them. Was interesting to note how quickly it funnels people though