Bobby Turkalino

Proms were around for ~50 years before we started seeing “promposals”, where guys would ask girls out with 3 minute-long choreographed dances in the middle of the quad for the whole school to see & record for social media. I’m not saying it’s stupid to put effort into asking someone, it can definitely be cute, but it can also be ultra cringe if you take it too far

You say you’ve always loved to learn, but really it sounds like you’re more of a completionist. You’re more interested in succeeding in the academic rituals (taking tests and getting good grades) than learning itself. Aka, you’re extrinsically motivated, not intrinsically. Extrinsic motivation always leads to burn out eventually.

Perhaps reevaluate whether you’re going to college just to get some degree that will make you employable (as we do in the US), or if you’re actually interested in learning about a specialized field. If the latter is true, reevaluate your major and maybe see if you can switch to something that interests you enough to motivate you intrinsically.

Is it really more expensive in today’s horrible housing market?

• Trauma, to describe a negative experience
• Depression, to describe healthy, intermittent sadness
• Trigger, to describe a pet peeve
• Dysphoria, to describe concern
• On the Spectrum/neurodivergent, to describe something a strawman normie wouldn’t do

The spike of interest in mental health over the past couple decades (in the West) has certainly been a net positive, but an unfortunate side effect - one that is true every time science becomes trendy - is that technical terms get grossly misused/overused. Sometimes it’s malicious, like someone exaggerating a self-diagnosed condition to get out of work; other times it’s benign, like someone using a term which they genuinely think they understand but the reality is only half so. If you recognize someone as being the latter, just try to ignore it or gently guide them to better terminology; else, if they’re being the former… well that’s more complicated, but just don’t be a dick about it because that’s never changed anyone’s mind

Explaining Computers is kinda close to what you want. He mainly focuses on using Raspberry Pis and other SBCs as everyday computers, and these devices typically run Linux.

You probably dodged a bullet by not making a career out of it. I know a couple people who are genuinely passionate about sports (which it sounds like you are) and tried careers in sports business. They didn’t last more than a couple years because they found out how soulless the business side of it is (especially in the NFL) and couldn’t stand to be a part of the decisions that raised prices to what they are today.

Yeah it’s more than just an arc in Mr. Robot, it’s an important part of pretty much the whole show

Knowing the difference between exclusive and inclusive OR is pretty helpful. XOR is super useful in programming and is even the basis for one of the few “perfect” encryption systems

Exclusive OR is usually just written as XOR, but if you’re dying to use a symbol: ⊕

You’re gonna get a lot of downvotes but people really are too pacified by binge watching Survivor while scrolling through TikTok. People don’t get angry about the shit that matters, not when it’s much easier to be angrier about Star Wars not being good anymore.

Which feeds do you use for game sales?

Tell that to the US health insurance industry

There’s always one of these guys in these threads

Freedom binary digits are 7 and 4 🇺🇸

Chill on mobile

Not chill on desktop

In the US, the mafia still exists, but as corporations, not families, since a lot of their old crimes of choice are legal now. Sports gambling, marijuana, human trafficking disguised as porn, etc.

1984 was doublethink, not doublespeak

Whenever Riker meets eyes with a female humanoid alien earlyish in an episode, you know exactly what the B plot is gonna be

Rampant untreated adult-onset ADHD

view “subscribed” instead of “all”

to expand your point, the sole job of an LLM is to, when given a sequence of words (e.g. half a sentence), predict what the next several words should be. the model has no concept of what English words mean, so instead it makes this prediction based on statistics that were derived from basically reading through hundreds of thousands of English sentences

TL;DR LLMs don’t understand languages, they’ve just memorized statistics about them