Michael Lackner

[DX @DX_Nacca]

People underestimate the power of shaders! 😎

Most environments look artificial cause the surfaces feel flat and lifeless
So, inspired by Forza Horizon, I created this shader to add depth and atmosphere!
Completely changing how flat surfaces are perceived

Coming soon on Patreon
#VRChat #Shader

[Wondrous Nature @nature_c2ngn]

This is a Telescope fish that lives in the ocean at a depth of 10,000 feet.😲

[Nav Toor @heynavtoor]

🚨SHOCKING: Apple just proved that AI models cannot do math. Not advanced math. Grade school math. The kind a 10-year-old solves.

And the way they proved it is devastating.

Apple researchers took the most popular math benchmark in AI — GSM8K, a set of grade-school math problems — and made one change. They swapped the numbers. Same problem. Same logic. Same steps. Different numbers.

Every model's performance dropped. Every single one. 25 state-of-the-art models tested.

But that wasn't the real experiment.

The real experiment broke everything.

They added one sentence to a math problem. One sentence that is completely irrelevant to the answer. It has nothing to do with the math. A human would read it and ignore it instantly.

Here's the actual example from the paper:

"Oliver picks 44 kiwis on Friday. Then he picks 58 kiwis on Saturday. On Sunday, he picks double the number of kiwis he did on Friday, but five of them were a bit smaller than average. How many kiwis does Oliver have?"

The correct answer is 190. The size of the kiwis has nothing to do with the count.

A 10-year-old would ignore "five of them were a bit smaller" because it's obviously irrelevant. It doesn't change how many kiwis there are.

But o1-mini, OpenAI's reasoning model, subtracted 5. It got 185.

Llama did the same thing. Subtracted 5. Got 185.

They didn't reason through the problem. They saw the number 5, saw a sentence that sounded like it mattered, and blindly turned it into a subtraction.

The models do not understand what subtraction means. They see a pattern that looks like subtraction and apply it. That is all.

Apple tested this across all models. They call the dataset "GSM-NoOp" — as in, the added clause is a no-operation. It does nothing. It changes nothing.

The results are catastrophic.

Phi-3-mini dropped over 65%. More than half of its "math ability" vanished from one irrelevant sentence.

GPT-4o dropped from 94.9% to 63.1%.

o1-mini dropped from 94.5% to 66.0%.

o1-preview, OpenAI's most advanced reasoning model at the time, dropped from 92.7% to 77.4%.

Even giving the models 8 examples of the exact same question beforehand, with the correct solution shown each time, barely helped. The models still fell for the irrelevant clause.

This means it's not a prompting problem. It's not a context problem. It's structural.

The Apple researchers also found that models convert words into math operations without understanding what those words mean. They see the word "discount" and multiply. They see a number near the word "smaller" and subtract. Regardless of whether it makes any sense.

The paper's exact words: "current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in their training data."

And: "LLMs likely perform a form of probabilistic pattern-matching and searching to find closest seen data during training without proper understanding of concepts."

They also tested what happens when you increase the number of steps in a problem. Performance didn't just decrease. The rate of decrease accelerated. Adding two extra clauses to a problem dropped Gemma2-9b from 84.4% to 41.8%. Phi-3.5-mini from 87.6% to 44.8%. The more thinking required, the more the models collapse.

A real reasoner would slow down and work through it. These models don't slow down. They pattern-match. And when the pattern becomes complex enough, they crash.

This paper was published at ICLR 2025, one of the most prestigious AI conferences in the world.

You are using AI to help you make financial decisions. To check legal documents. To solve problems at work. To help your children with homework. And Apple just proved that the AI is not thinking about any of it. It is pattern matching. And the moment something unexpected shows up in your question, it breaks. It does not tell you it broke. It just quietly gives you the wrong answer with full confidence.

[Sci-Fi Archives @SciFiArchives]

Japanese brutalism has a style of its own.

[OfNodesAndNoodles @nodesandnoodles]

Controlling particle systems with a dynamic material.

PBR Mixer can generate mix masks per layer.

#b3d #blender #blender3d #cgi

[Jeremy White @jeremywhitefx]

Hippo fluid scene pushed to 100M particles made with HydroFX. Foam, bubbles, and spray all simmed together in one system for a cohesive result, fully GPU accelerated. Meshed + extra sand interaction in Houdini, final lookdev/render in Blender. Get HydroFX https://t.co/1aKDxmZK9V

[Craig Taylor @CraigTaylorViz]

A week of fishing in the East China Sea (16-22 Mar).
Continuing experiments in #threejs and #webgl to showcase our @Kpler and @MarineTraffic data. >8M points rendered seemlessly in the browser with accumulating tracks 🤯
#maps #ais #animation

[Pilgrim @ArtOfPilgrim]

this is crazy. Blender you're awesome. Miettinen so are you

[Ivan Fioravanti ᯅ @ivanfioravanti]

We extract nearly all (95.8%) of Harry Potter and the Sorcerer's Stone from Claude Sonnet 🤷🏻‍♂️

[Lisa J @dancingshoes06]

How clever is my daughter, all drawn by her for the personal touch, now this is wrapping paper you just cannot buy ❤️��❤️🎄❤️

[DaVinci @BiancoDavinci]

Just stumbled on this incredible handrail

[For all Curious @fascinatingonX]

Very rare 'Tall White Auroras' like never before spotted in the night skies of Senja, Norway last night👀 🌌✨

These ghostly white auroras are super rare and occur under very extreme circumstances.

[80 LEVEL @80Level]

.@kensyouen_Y's anime girl is back to mess with Blender's UI and prevent him from closing the app.

It ends like a horror, with her trapped on X/Twitter: https://t.co/bgqWyCL5D3

[Christian Keil @pronounced_kyle]

Two alternate ways to frame this:

▸ thank god we have a liquid that easily boils at ambient pressure, that is safe to handle, and that is abundant on Earth

▸ remarkable, in hindsight, that we basically one-shotted the correct way to generate power back in the 1700s

[Michael @MJV3D]

Procedural ponytail with #geometrynodes, simulation on guide curves. #b3d

[Fascinating History @Fascinate_Hist]

“Beauty will save the world.”

- Fyodor Dostoevsky