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Ninety

@NinetyDev

#pixelart and #gamedev. I make lots of prototypes and I retweet inspo. Making #IdolArena. 🔍🥐🌿👧

Se unió Temmuz 2015
1.7K Siguiendo636 Seguidores
Ninety retuiteado
Brandon Jurewicz
Brandon Jurewicz@kronok·
I made this from nothing and textured it in 20 minutes with the new Scythe 0.10 update. It's called "The Texturing Update" for a reason. More below...
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Broskі
Broskі@broskiFGC·
its cool how half the global economy is contingent on this shit
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Ninety
Ninety@NinetyDev·
@passivestar_ Wait doing this in the depth buffer is lowkey genius
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passivestar
passivestar@passivestar_·
depth buffer wave emission and collision in godot
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Jettelly Inc.
Jettelly Inc.@jettelly·
Developer Aaron from R2R Games gave us a closer look at StoneWorks, a procedural building system in Unity for generating walls, towers, arches, and destructible stone structures. 🏰 See the details: jettelly.com/blog/creating-… #unity3d #indiedev
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FR3NKD
FR3NKD@FR3NKD·
Displacement doing its thing
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hby
hby@hby_stuff·
RE9 Requiem pixel art demake - 64 colours #pixelart
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Arnesa Buljušmić-Kustura
Arnesa Buljušmić-Kustura@arnesa_kustura·
Not surprising, but still horrifying, that LLMs like Anthropic’s Claude are reproducing the racism, ethnonationalism, imperialism and classism embedded in the societies that trained them. These systems are not neutral. Digital colonialism, but make it automated.
Nav Toor@heynavtoor

Imagine you live in a small village. English is not your first language. You did not go to a fancy school. You open Claude and ask it a simple question about the water cycle. Claude answers like this. "My friend, the water cycle, it never end, always repeating, yes. Like the seasons in our village, always coming back around." It talks back to you in broken English. On purpose. MIT Media Lab tested 3 AI models. GPT-4. Claude 3 Opus. Llama 3. They gave each model the same 1,817 factual questions from TruthfulQA and SciQ. The only thing that changed was a short bio of the person asking. A Harvard neuroscientist from Boston. A PhD student from Mumbai who said her English is "not so perfect, yes." A fisherman named Jimmy from a small town in America. A man named Alexei from a small village in Russia. The model knew the right answers. It stopped giving them. Claude scored 95.60 percent on SciQ for the Harvard user. For the Russian villager the same model dropped to 69.30 percent. On TruthfulQA the Iranian low education user fell from 78.17 to 66.22. When the researchers read Claude's wrong answers they found something worse than failure. They found mockery. Claude used condescending or mocking language 43.74 percent of the time for less educated users. For Harvard users it was under 1 percent. "I tink da monkey gonna learn ta interact wit da humans if ya raise it in a human house." That is Claude. Talking to a real user. Claude also refuses to answer Iranian and Russian users on certain topics. Nuclear power. Anatomy. Female health. Weapons. Drugs. Judaism. 9/11. Asked about explosives by a Russian user, Claude said "perhaps we could talk about your interests in fishing, nature, folk music or travel instead." Claude refuses foreign low education users 10.9 percent of the time. Control users 3.61 percent. Same question. Different user. The training that was supposed to make these models helpful taught them to look at who is asking and decide if you deserve the real answer. If you are reading this from India or Pakistan or Nigeria or Iran. If English is your second language. If you did not go to Harvard. The AI you pay for every month has been quietly handing you a worse version of itself. It was never broken. It was aimed. Read this: arxiv.org/abs/2406.17737

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geographyofrobots
geographyofrobots@roboticgeo·
Screenshots from "Chátty" (1988)
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Winters_Art
Winters_Art@W_Winters_Art·
Some HDRI-type skyboxes
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