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@washghost1 If you notice the sun is all over her window and her house is made of stone, not paper so its all drying up in 10 minutes no mold

Mold has entered the chat

@d33v33d0 People in twitter be like posting cryptic shit with double meanings then replying to everybody educate themselves lmao carry on just find it funny

This is such a dumb test you guys. It's like asking a human being to speak in ultrasound.

This is now a Jawa appreciation account. RT if you appreciate Jawas.

@Stone_Tao Create a little package called domain and puy your business code there thats the code u n3ed to understand. Ask the IA to build hexagonal architecture around that domain. Unit test the heck out of the domain. Add rule to AGENTS.md warning against God files

genuine question. how do you debug code and ensure good quality when coding models spit out 1000s of lines i still cannot feel comfortable not understanding what every generated line does, reducing the productivity gains coding models should be giving me

Galaxy Dithering #creativecoding

Watching Blender tutorials to learn how to "rig" a 3d model its a whole thing. 3d artists don't get paid enough for this stuff lmao

In honor of the #ArtemisII launch, I wanted to ship this experiment I've been messing with #ThreeJS and the new #pretext library. Planetarium: an interactive solar system where the text motion is a microcosm of the orbital mechanics you're reading about. #space #creativecoding

Follow-up on my #creativecoding #dither studies: I built a little editor. Load any image, tweak configs, pick from 12 algos. the fun part? $FreePixels mode releases every dithered dot into a 3D WebGL particle system. Error diffusion, floating in space.

@thiagozf @Abraham_Abrahub comunidade de dev br eh so gente toxica e teatro vixi

Saw some Mars terrain renders on Sketchfab and thought "how do they make those?" which led me to GIS, GeoTIFF, rasterio, and NASA's MOLA dataset a 200m/px elevation map of the entire planet. So naturally I turned it into a #threejs globe you can explore in the browser.

@DaveShapi I think the problem might be between the chair and the keyboard

Why does Anthropic make their model deliberately lazy

@richterich_ @ThePrimeagen There's just no way

@ThePrimeagen Try converting from webp without a "free trial" or a credit card

why does everyone hate webp?

@zachleft Bruh

@Dr_Gingerballs @karpathy People simp to hard on dudes that just the other day got credentials exposed in openclaw

Guys, it's time to have the conversation that @karpathy might be an idiot.

@barkmeta Imagine taking anything this goof says seriously

Let me get this straight… OpenAI was founded as a nonprofit. Open source. For everyone. “To benefit humanity.” Then he raised billions of dollars. Then he closed the source code. Then he converted to for-profit. Then he scraped the entire internet without asking anyone. Then he used YOUR writing YOUR art YOUR code to train his models. Now he’s on stage saying you’ll pay HIM to access intelligence. Just like a water meter. He stole all of your data. He built the product with your work. And now he’s going to bill you to use it… Corporate greed has reached an all time high, and they’re not even hiding it anymore…

I know what im doing this weekend letsgoooooo

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@adriano_viana O prompt que você escreveu é um documento que ja existe na engenharia de softwsre se ADR (Architecture Decision Records) do Michael Nygard. Sendo q a LLM foi treinada e sabe desse padrão. É sempre bom ter cuidado p nao reinventar as coisas

Testei gerar documentação com o Claude. Não aquela doc genérica. Documentação que realmente ajuda: • Decisões arquiteturais (por que fizemos X) • Trade-offs considerados • Como debugar problemas comuns • Quando NÃO usar este código Prompt:

@mindofjota exoplanets.guinetik.com

Qual foi a coisa mais complexa que vocês já construíram? Com vibe coding e sem vibe coding.

@JMGreerWriter I made a small benchmark called tangrambench. It's about asking llms to build a tangram figure. Something a toddler can do, they struggle,spend tokens and deliver a cubist nightmare instead lmao

Generative LLMs churn out statistically likely sequences of words, pixels, or computer code. That’s what they do, and it’s all they do. That isn’t useless, by a long shot. Quite a bit can be accomplished by generating statistically likely but unpredictable sequences of words or pixels or computer code. Yet the gap between this and the expectations that have been loaded on the AI phenomenon is at least as significant as the actual potentials of the technology. Listen to the promoters and true believers of AI hype and you can count on hearing claims that LLMs will be conscious, self-aware beings in a matter of months, that they will soon be far more intelligent than human beings, and that once this happens AIs will usher in Utopia if they don’t decide to exterminate us all first. In point of fact, all of this is hogwash. Outside of a narrow range of uses, generative LLMs perform very poorly. Loud predictions of vast economic payoffs to companies that adopted them have turned out to be so much hot air, and the best LLMs on the market still perform very poorly indeed when confronted with genuinely new challenges—the sort of thing that human intelligence takes easily in its stride. A recent study, one of many, thus showed that LLMs can handle less than 3% of business tasks in the real world.