Ekky

Seeing these errors means “the SSD is on its way out,” according to HTWingNut.

Since we’re simply talking about being unpowered for a while, wouldn’t a simple full format fix/reset all ECC errors? No need to scrap the drive.

Surely a cap/transistor temporarily losing charge shouldn’t permanently destroy it!

Anyways, HDD for 6-24 months offline data storage, SSD for always-online data storage, and flash if you’re a masochist like me.

Stacked on top, and vertical orientation since we’re not doing Java here!

Back in high school I tried using my first android smartphone for studies and notes when my laptop had broken down. I connected a (wired) keyboard and mouse, but it got tedious really quick. I guess one can theoretically work off only a phone, but even simple tasks take considerately longer to perform. The only real positive thing was the small carry size and the addition of a touch screen.

Having learned nothing from the first attempt, I later brought only a phone to surveying field work as newly graduated UAS robotics engineer (needing it for route planning, weather stats, auxiliary vehicle integrations, data transfers, etc.), and, well, it could do everything I asked it to do, but it would again have been significantly faster with a proper mobile workstation. Since this was with a phone without USB-C (so no PD hubs) the additional power drain also meant that the phone barely lasted throughout the day, even if I connected it to a power bank every time I did not need it. It also kept overheating in the mid spring sun. I knew that smartphones are bad at heat management, but I hadn’t expected it to be that bad.

At last, I’ve recently had half a year where I’ve used only my phone and a Steam Deck for all my computer related tasks (between jobs, rig was in storage). The SD allowed me to do everything from gaming to light dev work, and the phone was enough for all communication (bank, contacts, E-Mail, etc.) and social network requirements. I guess I could live that lifestyle again for a limited time, but having back my rig is just so much more comfortable, especially for heavier dev tasks.

TL:DR: One can definitely live with only a phone, especially if the lifestyle is less technically inclined, and even a techie can ultimately do most tasks on a phone, but while a properly configured phone can do most tech tasks it’s just so much faster to have proper computer at hand.

Lol, it is indeed one of the cleaner versions that I remember having seen, nice work! ^, ^

But Admiral Patrick, how dare your ancient memes from times long forgotten not meet our modern expectations? Do you at least have a proper shitposting license?

I’ll post mine as reference, may you gaze upon it and ponder the shortcomings of your horrible artifact-ridden memes!

Agreed for induction, but I’d mich rather use one or two minutes more cleaning the knobs than having to almost cook my finger on this 60-90 degree Celcius hot conventional stove’s touch surface to change the plate from step 7 to 4 for 10 FUKKEN SECONDS! OUCH!

Having to restart it 2-3 times during cooking because it got confused (pan moved slightly to the side) is also rather annoying.

Edit & tl:dr: Touch works decent on induction, just please keep it far away from any conventional stoves.

Oh right, I do actually have track, volume, and “take call” on the wheel. I think I did use them once, but it just never stuck since they felt awkward to use.

I don’t mind cleaning freshly dirtied dishes, but dishes that others have let dry in over the past hour? Yeah, that’s your problem.

Always leave the workstation in the same state or cleaner than how you found it, and if I have to clean up or fetch dirty tools from the dishwasher then there’ll be no cake for you! >:(

I’m more concerned about fog lights, emergency lights, and Window heating, as law usually requires you to be able to use them if conditions require it.

Same, I’ve got an Opel Corsa from 2016, so it’s pretty much brand new.

The only things in the wheel are the speed control, wipers, and default lights.

For everything else required for driving, such as fog lights, emergency lights, front and back Window heating, AC, radio, and of course the shift stick, I’ll need to remove a hand from the wheel.

Luckily for me, the Touchscreen in the middle only handles less important things like navigation and external music sources.

“Fixed issue with ssl python libs,” or “Minor bugfixes.”

In other news, never work more than one person on a branch (that’s why we have them). Make a new related issue with its own branch and rebase whenever necessary, and don’t even think about touching main or dev with anything but a properly reviewed and approved PR (in case they aren’t already protected), or I’ll find and report you to the same authority that handles all the failed sudo requests!

Also, companies that disable rebasing are my bane. While you can absolutely do without, i much prefer to have less conflicts, cleaner branches and commits, easier method to pull in new changes from dev, overall better times for the reviewer, and the list goes on. Though, the intern rewriting multiple branches’ history which they have no business pushing to is also rather annoying.

Neural nets are a technology which is part of the umbrella term “machine learning”. Deep learning is also a term which is part of machine learning, just more specialized towards large NN models.

You can absolutely train NNs on your own machine, after all, that’s what I did for my masters before Chatgpt and all that, defining the layers myself, and also what I do right now with CNNs. That said, LLMs do tend to become so large that anyone without a super computer can at most fine tune them.

“Decision tree stuff” would be regular AI, which can be turned into ML by adding a “learning method” like a KNN or neural net, genetic algorithm, etc., which isn’t much more than a more complex decision tree where decision thresholds (weights) were automatically estimated by analysis of a dataset. More complex learning methods are even capable of fine tuning themselves during operation (LLMs, KNN, etc.), as you stated.

One big difference from other learning methods and to NN based methods, is that NN likes to add non-weighted layers which, instead of making decisions, transform the data to allow for a more diverse decision process.

EDIT: Some corrections, now that I’m fully awake.

While very similar in structure and function, the NN is indeed no decision tree. It functions much the same as one, as is a basic requirement for most types of AI, but whereas every node in a decision tree has unique branches with their own unique nodes, all of a NN’s nodes are interconnected to all nodes of the following layer. This is also one of the strong points of a NN, as something that seemed outrageous to it a moment ago might have become much more plausible when looking at it from a different point of view, such as after a transformative layer.

Also, other learning methods usually don’t have layers, or, if one were to define “layer” as “one-shot decision process”, they pretty much only have a single or two layers. In contrast, the NN can theoretically have an infinite amount of layers, allowing for pretty much infinite complexity as long as the inputted data is not abstracted beyond reason.

At last, NN don’t back-propage by default, though they make it easy to enable such features given enough processing power and optionally enough bandwidth (in the case of chatGPT). LLMs are a little different, as I’m decently sure they implement back-propagation as part of the technologies definition, just like KNN.

This became a little longer than I had hoped, it’s just a fascinating topic. I hope you don’t mind that I went into more detail than necessary, it was mostly for the random passersby.

AI is a very broad term, ranging from physical AI (material and properties of a robotic grabbing tool) to AI (as seen in many games, or in a robotic arm to calculate path from current position to target position) and to MLAI (LLM, neural nets in general, KNN, etc.).

I guess it’s much the same as asking “are vehicles bad?”. I don’t know, are we talking horse carriages? Cars? Planes? Electric scooters? Skateboards?

Going back to your question, AI in general is not bad, though LLMs have become too popular too quick and have thus ended up being misunderstood and misused. So you can indeed say that LLMs are bad, at least when not used for their intended purposes.

It appears, that with the increase in popularity of machine learning, the percentage of people who properly source and sanitize their training data has steeply decreased.

As you stated, a MLAI can only be as good as the data it was trained on, and is usually way worse. The popularity and application of MLAIs built with questionable practices scare me, though, at least their fuckups will keep me employed and likely more busy than ever.

You are correct! It sets HEAD to the first commit and then force pushes, deleting everything after HEAD.

Though, it only affects the currently selected branch.

like this?

# Let Git take a rest with some yummy awk chocolate logs with delicious nuts and seeds, and don't be pushy!
git reset --hard $(git log --reverse | sed -n 1p | awk -F "[ ]" '{print $2}') && git push -f

EDIT: Don’t actually run it.

Or make a shortcut/link in the readme to the newest release of the most popular OS’s.

A decent release page tends to contain all kinds of files for different OS, so ‘regular’ people who just want the .deb or .exe would likely become confused regardless.

Huh? Isn’t this about Microsoft changing out a button with a well established use, in order to take advantage of muscle memory and the unobservant?

Don’t think it’s much to do with people opposing technological advancement, but rather with opposing another company wanting to making a fool of them.

Criminals will always find a way. Make a surveillance state, and they’ll just break the law and use encrypted communication anyway. Might even hide data in other data if necessary.

That said, I’d wager that there are quite a few of those communities hidden in plain and unencrypted sight (discord, fediverse, etc.), but they just keep it small enough to not be found (The ones on discord did get found out eventually, but probably just moved platform). So the question would aris: why do these exist when we apparently have the resources to monitor EVERYONE given the chance?

Best you can do is to report communities and places where it runs rampant to the relevant authorities. That’s much more efficient than the authorities having to make privacy-violating laws and crawl the net themselves.

Wait, what drama did I miss? Why would people block Lemmy.ml any more than other instances?