FYI blades go dull after a few years even without use just due to entropy.

I learned to use a straight razor over covid. You use barely any pressure, tilt the blade and go with the grain and you’re good

in the development a lot of stuff got cut too so there was art meant to be interacted with that ended up not being

you’ve commented twice in this thread?

the “shitty website” box is also likely just ImageMagick too

no racism

I mean the whole point of the post is faux-xenophobia

Programming is definitely not an exact science.

Armchair amateur here but there’s often a lot of talk about O(n), memory optimization, trash cleanup, compression methods, race conditions, vertex choice in matrices etc…

It reminds me of the neo-plasticists, whose argument was there is no significant difference between painting a farmer next to a pile of hay vs painting a pink square next to a yellow square: both are just arranging representative symbols on a canvas.

Art fulfills many practical purposes. You live in an abode designed by architects, presumably painted and furnished with many objects d’art such as, a couch, a wardrobe, ceiling fixtures, a bathtub; also presumably festooned with art on the walls; you cook and eat food in designed cookware, crockery and cutlery, and that food is frequently more than pure sustenance; and, presumably you spend a fair amount of time consuming media such as television, film, literature, music, comedy, dance, or even porn.

but the collaboration!

I’ve beaten most of the Gold Stakes and all of the challenges, its not a forever game. But it is fun.

ctrl+h

\s+

enter

interestingly, too, this is a technique when you’re improvising songs, it’s called Target Rhyming.

The most effective way is to do A / B^1 / C / B^2 rhymes. You pick the B^2 rhyme, let’s say, “ibruprofen” and you get all of A and B^1 to think of a rhyme

Oh its Christmas time
And I was up on my roof when
I heard a jolly old voice
Ask me for ibuprofen

And the audience thinks you’re fucking incredible for complex rhymes.

if you have a soup of all liquids and a sieve that only lets coffee and ice cream through it produces coffee ice cream (metaphor, don’t think too hard about it)

that’s how gen ai works. each step sieves out raw data to get closer to the prompt.

studies were done and found similar to what you’re saying.

also the secret listening does not comport with any of the business side of profile marketing, either. So it would have to be an incredibly well kept secret on top of all of that.

Wouldn’t you just take issue with whatever the new name for it was instead? “Calling it pattern recognition is snake oil, it has no cognition” etc

1998

what would they have to produce to not be snake oil?

Can you name a company who has produced an LLM that doesn’t refer to it generally as part of “AI”?

can you name a company who produces AI tools that doesn’t have an LLM as part of its “AI” suite of tools?

What are you talking about? I read the papers published in mathematical and scientific journals and summarize the results in a newsletter. As long as you know equivalent undergrad statistics, calculus and algebra anyone can read them, you don’t need a qualification, you could just Google each term you’re unfamiliar with.

While I understand your objection to the nomenclature, in this particular context all major AI-production houses including those only using them as internal tools to achieve other outcomes (e.g. NVIDIA) count LLMs as part of their AI collateral.

I’ve been working on an internal project for my job - a quarterly report on the most bleeding edge use cases of AI, and the stuff achieved is genuinely really impressive.

So why is the AI at the top end amazing yet everything we use is a piece of literal shit?

The answer is the chatbot. If you have the technical nous to program machine learning tools it can accomplish truly stunning processes at speeds not seen before.

If you don’t know how to do - for eg - a Fourier transform - you lack the skills to use the tools effectively. That’s no one’s fault, not everyone needs that knowledge, but it does explain the gap between promise and delivery. It can only help you do what you already know how to do faster.

Same for coding, if you understand what your code does, it’s a helpful tool for unsticking part of a problem, it can’t write the whole thing from scratch