Had me in the first half, not gonna lie

Do I have to buy Nvidia stock to also help?

There are plenty of hot people out there that are far from models. The obsession with some arbitrary standard of sexiness is both unfair and degrading to everyone held up to it (women, generally) and indicates a kinda sorta really fucked-up relationship with sexuality.

it seems like bad business

I thibk that’s just kinda part and parcel of employing Musk in any capacity

The risk I see with this is that the strategy rests on the assumption of states acting in rational self-interest. While this is generally a reasonable assumption to make, it has become abundantly clear that it’s not always true.

Hypothetically, if China came under control of a megalomaniac willing to compromise Chinese interests and safety (or unwilling to consider that risk) for the sake of nationalist ambitions to “reclaim” Taiwan, things could get ugly. Would the US actually retaliate? Would it fight open war against a nuclear power headed by someone willing to cut their whole country’s nose to spite their face?

Conversely, if the US came under control of a foreign asset (or useful idiot) willing to strike a deal with China for cheap access to the chips they need for their American Intelligence, selling out Taiwan in the process and probably getting fucked over in the process, it might allow them to entrench so deeply that even subsequent presidents would have a hard time dislodging them without, again, risking nuclear war.

I don’t think either scenario is likely, but I also didn’t think the US would let Pedonald run for another term, let alone elect him, so maybe my judgement just sucks.

Gurss where the LLMs picked up those dashes?

Human writing.

Yes, turns out humans use them too—particularly in the type of serious, professional writing that these models seek to emulate—and have done so before the slopmachines and some of us continue to do so even in an age where this stye we have adopted—whether by necessity of our occupation, by choice for hobbies or simply by spending enough time reading the type of text that uses them profusely—is mindlessly imitated by machines incapable of intuitively deciding which tone is most appropriate for the given occasion—or, really, any incapable of any intuition or semantic distinction.

AI slop may contain em-dashes, but that implication is not reversible—not every em—dash user is an artificial slop generator. My slop is perfectly natural, thank you very much.

or are they just meant to be ingested by a different AI agent

Given that these models are (ideally) trained on good, well-documented human code, I’m guessing that poor documentation will also lead to poor results, so they’re probably not meant for LLM input, but of course, they’ll probably end up as it anyway.

We all told them it was a bubble, a giant waste of time and money,

…but they dismissed us as not seeing the big picture because they’ve been Marketed to and are now convinced that it’s their visionary genius idea to jump on the bandwagon.

Wer an die eigene Überlegenheit glaubt, ist vermutlich auch etwas blinder gegenüber den Grenzen ihrer Fähigkeiten und Schwachstellen und Fehlern in der eigenen Arbeit.

Ich kannte Leute, die fest überzeugt waren, sie würden Scams immer auf Anhieb erkennen und nie drauf reinfallen. Wenn wir das das dann auf eine komplette IT-Infrastruktur hochskalieren…

The kind of fight where you just waych, eat popcorn and hope the collateral damage is minimal.

Also generating subtitles for my mother’s foreign films I guess?

You mean mapping learned patterns (speech) to other patterns (words)? Yes, that’s actually what it’s really good at.

Of course, if those films invented completely new words, it would be out of its depth. Weird pronunciations may also produce weird text. It might get things wrong either way occasionally.

But if it’s within the boundaries of its training material, it’ll generally produce reasonable output, and in that context, the occasional aberration doesn’t matter as much (particularly if the human brain can compensate).

Just don’t ask it to generate anything where factuality matters.

They want to believe. They hope that, if they pump this enough, enough other people will chip in that they can make a return even if it crashes, but far more so, they want it to deliver. Imagine a super-intelligent money making machine, and you’re getting a big slice of the pie!

They want to believe that they’ve found the free money hack, just like with Crypto.

And just like Crypto, it’s mostly those that were rich already that’ll make bank selling shovels for the rest to dig their own graves with in search for gold.

Even if AI could do that, the text processor they built can’t

Bust size analysis? What the fuck?

Actually, no, that’s probably the opposite of a fuck. What the unhealthy relationship with sexuality and physique?

And people wonder why there are few women on the internet…

heutige Nazideutschland (SA)

Ich wollte dich korrigieren, dass die Abkürzung für Sachsen-Anhalt mit Absicht ST ist um dem “historischen Beigeschmack” der Abkürzung SA aus dem Weg zu gehen, aber eigentlich passt das irgendwie doch…

Es wurde ständig nur gebrüllt, alle waren irgendwie sauer die ganze Zeit, und die gemeinsamen Mittagessen waren ein absoluter Albtraum. Und die Chefetage hat sich Klominuten aufgeschrieben.

Da muss irgendwas im Grundwasser sein

Misere schafft den besten Nährboden für Ideologien aus Hass. Hass schafft schlechte Stimmung. Das ist eine Feedback-Schleife, die durchzubrechen echt schwer sein kann (vor allem wenn man stattdessen lieber Steuergelder in Konzernkassen scheffelt).

Our job is to teach the machines so well that there will be no need to pay our children for anything.

Yeah, that’s the bullshit the grifters are peddling at least

The task Large Language Models are best at is pattern correlation. Out of all the possible applications, reverse-engineering seems the most reasonable use case to me.

But figuring out how stuff works is the exact opposite of what they want vibe coders to do: Don’t think, don’t train your own skills, just trust the machine. And if it doesn’t work, just prompt again and keep wasting more tokens, pushing the usage metrics to convince investors they’re constantly growing, burning the planet and your company’s money.

Setup expenses look bad on the quarterly report. Losses later, if they happen at all (who knows if the engineers are so into their tools they forget the real world and I, the genius CEO, need to bring them back to reality), are problem for later.

writing great code manually is a core skill whose time has passed.

If you’re saying people will no longer have to learn to code…

This is not the death of expertise. The LLM is fast. You are slow, but you carry with you a lifetime of experience, judgment calls, and understanding.

…then where the fuck is that expertise gonna come from?

You are also (hopefully) much less prone to hallucination and being mislead by bad or malicious inputs, and are accountable to yourself, your teammates, and to Proton in a way a model can never be. Together you can do far more, far faster than either can do alone.

AI “hallucination” is the product of something that doesn’t know what it’s doing accidentally doing something wrong despite all training in appearing competent. To correct and counteract that, you need people who actually learned what is correct and know their shit. In essence: you need people with experience in writing good code.

Even if we accepted the premise that needing to adopt AI would be the only way to survive, this logic is so full of holes that I’m wondering whether an LLM wrote it or whether that’s just the best logic Butler can deliver after outsourcing his thinking to bullshit machines.

They didn’t elect people to positions, because they thought that would lead to popularity contests doninated by the wealthy (🤔).

We should note that the body of eligible (adult male) citizens was far from representative. If 20% of the population were slaves or other non-citizens (leaving 80% citizens), half were women (leaving 40%) and 25% were children (leaving 30%), 70% of the population were unrepresented.

And that’s for the more democratic cities like Athens; oligarchic ones might well implement wealth requirements for full citizenship and some like Sparta were particularly draconic with limting membership (to the point of self-destruction when their citizen body dwindled and they refused to admit new Spartiates).

(Also, Generals actually were elected, but that makes sense since you probably don’t want to randomly allot some guy that might or might not have the skills to coordinate army movement and activities, or might not even be wealthy enough to serve as hoplite themselves because armour is expensive.)

Europe’s too. I’m putting “Oat Drink” on my cereals every morning 🤡