dsilverz

Flying by brooms (Bro thel)

It also doesn't prevent advertisements carried through the website's own domain. For example, lots of video platforms send their advertisements through the same domain as the content's domain, so if you block that domain, you'll also block the possibility of watching any content there. That's why you need to have ad-blocking within the browser.

There was a similar question at another community. I'll verbatim my reply:

As a syncretic Luciferian currently, I’d say esoteric and occult books/grimoires as well. Everything that’s deemed “demonic” by christianity should be safely archived.

There are many, many authors and books that hold importance for esoteric and occult studies and practices.

An example that comes to mind are the books written by Anton LaVey, especially the The Satanic Bible. As he was american, so are his books’ first copies from, so a greater risk of those copies being seized or something.

While this risk wouldn’t be the same for all corpora written by Aleister Crowley, as he was English so the first copies aren’t at american soil (if I guessed correctly), I’m not sure how far a christotyrannical regime would go for “serving God’s will”.

So, in summary, I’d say everything should be archived. Both physically and digitally. It’s worth mentioning how Internet Archive is being attacked: the Internet Archive holds many digital copies of important esoteric and occult knowledge as well. If Internet Archive goes permanently down, it’d ripple to other sites such as sacred-texts.

Throughout all my jobs, I've been always systematic in not creating any friendship or relationship. That's because I feel like workplace problems could affect the relation, or vice-versa, when personal disagreements could affect the workplace, because the humans involved would the same, me and my coworker. Imagine dating a coworker and then, eventually, falling into some disagreement (every relationship has one), then one of you (you or them) decides it's better to temporarily go apart so to settle things, but you both will need to see each one face to face tomorrow. You'll look in their eyes and you'll find a hard time distinguishing between your love and your coworker, because they're the same person (you still love them). There's also the presence of falsehood within workplaces, people that seems nice until they're at your back conspiring against you, trying to push you to the cliff. I faced lots of falsehood throughout my jobs. Careers sometimes involve competing against others and there are lots of people that takes this competition spirit too far, diminishing your job and your life for them to get some advantage (i.e. a better position within the company, a better wage, or even "for sadistic fun" of seeing others to be fired).

Maybe I'm wrong, but that's how I ever felt about workplace relations, I always tried to keep the workplace restricted to my professional persona. I'll be kind and helpful, but I'll kinda "robotic" to my coworkers and bosses. You could correctly guess that this led me to being a solitary person, something I actually always was, because I'm the typical former nerd colleague back at the high school, the shy, social awkward kind, never had real true friends, and love seems like some extraterrestrial fictional thing to me (not that I'm not capable of feeling love for someone because I once felt, but externalizing it and turning it into a relationship only happened in dreams, I guess).

So, in my opinion, it's not a trustworthy thing to make friends at work, especially if it involves possibilities of higher positions and/or higher wages, or a narcissistic boss that wants to be worshiped. But, as I said, maybe I'm wrong.

The problem is beyond social media accounts. Modern life makes us to have digital things, "apps". As much as I'd benefit from it (I'm a programmer), I can't help but recognize how dangerous is this digital dependence and requirement. Not only our entire lives become bits and bytes across gazillions of platforms, they're out of our real control: from advertising platforms to hackers, the online information kind of awaits to fall on third-party hands.

How many of our information is now inside the training data from major AI models (as much as I like some aspects of AIs, that's a fact), such as GPT-4, Claude Somnet and, especially, Google's Gemini, whose company is responsible for more than 90% of the search engine market while also responsible for our smartphones' brains, not just Android but things embedded on Apple's ecosystems as well?

But people only notice how far our digital footprint goes when there's some serious thing such as the risk of persecution from the government. People decide to delete their accounts hoping that it'll lead to their data being magically erased and, as a programmer, I say: no, our data remains, there's no DELETE * FROM users WHERE id = your_id, there's actually a UPDATE users SET deleted=CURRENT_TIME() WHERE id = your_id that's not the same thing (it just marks your account as deleted, but all the data remains for whatever time period they wish, not even mentioning periodic database backups that'll preserve your data in the hands of that platform)... not even mentioning how your data could've already been assimilated through platform integrations (API) by third-party partners such as advertisers. There's no way to force the erasure.

Yeah, there's the law such as GDPR's "Right to be forgotten", but there's a Brazilian saying "O que os olhos não veem o coração não sente" (What the eyes can't see, the heart can't feel). A platform can "confirm the account deletion" but they can keep the data without anyone's knowledge. It's worse: there are laws that require the companies to keep the data for some time (here in Brazil, for example, companies need to keep data for five years, because the justice could need the data in order to solve some investigation).

So, I don't like to be a harbinger of doom, but our digital traces will never actually entirely disappear from the Internet.. especially if you guys are thinking of avoiding the incoming persecution from a new government. Online data remains as far as we couldn't tell. And this includes way beyond social media platforms: it also includes your apps such as, I dunno, your Starbucks accounts? Your Amazon accounts? Everything is data that can be analyzed among a big data and traced back to each one's preferences, including political preferences... I'm sorry to say that, but I need to transmit this knowledge as a developer.

OpenIndiana (Solaris), OpenBSD, FreeBSD, Haiku, AROS (AmigaOS), GNU Hurd, MINIX, ReactOS, TempleOS and others: allow us to introduce ourselves...

Basically, as far as I read, different kinds of transformers serve different kinds of purposes:

• A Decoder-only is used for generative word output (auto-completion), when the model receives an input prompt and outputs generated words based on it.

• An Encoder-only is used for things such as classification and sentiment analysis, when the model receives an input text and outputs a classification vector.

• An Encoder-Decoder is used for translating texts from one language to other, because it firstly encodes (hence, it classifies) then decodes (hence, it generates words).

How LLMs can translate and can kinda of "analyze the sentiment" of a given text, I'm not really sure (possibly the training data allows is so huge that decoders can achieve the encoding function) but the "basic" generation of words is a decoder thing.

As for data science using Python, something tells me that this has to do with memory heap capacities. I'm not sure about Python's max memory heap, but Javascript through Node.js seems to have only 512MB. I've been using Node.js to deal with big datasets and my most recent experimentation stumbled across the need of loading 100 million numbers to the RAM: while my PC has a fair amount of physical RAM (12GB) and a great part of it was available, it'll simply error when filling an array. I needed an additional parameter, --max-old-space-size, so Node.js could deal with such amount of data. I didn't try the same task with Python because I'm used to Javascript (yet I'm done some things in Python), but I wonder how much memory can Python hold until an error like "out of memory" happens, because ML models (for example, those hosted and served in HuggingFace) loads training weights with dozens of GBs

While I previously had a Reddit account (which I don't really used in a frequent basis), I found about Lemmy through Mastodon, which in turn I found about through my search for social network alternative platforms. Turns out I've been participating at Lemmy more often through the entire 3 months I've been here than I participated at Reddit throughout more than a decade (I joined Reddit in 2012 IIRC).

As a Brazilian, not much. Throughout my entire lifetime, I saw some Brazilians there and there wearing Halloween costumes but it's not as popular here as "quermesses" (kirmess, church fairs, happening mostly on Brazilian's interiorian towns), Carnival, Christmas or some "important" soccer game (such as Corinthians vs Palmeiras, or Flamengo vs Fluminense).

To me, particularly, no holiday (nor soccer games) holds any importance or meaning. In the end of the day, it'll be just capitalism mesmerizing people to spend money on temporary things.

It depends.

When the VGA socket I'm plugging the VGA cable has a screwing hole (for example, tower PCs as well as some HDMI-To-VGA adapters) , and I'm intending to let it plugged, I generally do screw them in, not entirely, but sufficiently to don't let it escape due to VGA cable's weight (especially if the cable has dozens of meters as well as those cilindrical magnetic thingies that reduces electromagnetic interference).

But one of my laptops have no screwing holes at the sides of the VGA socket so it's impossible to screw the VGA cable.

The difference is that the Linux distros won't force the user to upgrade with annoying popups or similar. The difference is that the newer versions of Linux distros won't have hardware requirements that will force the user to buy a new Pc altogether and contributing to e-waste.