@HowToAI_: Researchers proved that every single elementary function, sin, exp, log, sqrt, comes from one single binary operator. I…
Summary
A paper proves that all elementary functions like sin, exp, log, sqrt can be generated from a single binary operator eml(x,y)=exp(x)-ln(y), similar to how NAND gates unify digital logic. This could simplify AI architectures by enabling a single trainable node for continuous mathematics.
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Cached at: 05/22/26, 07:58 PM
Researchers proved that every single elementary function, sin, exp, log, sqrt, comes from one single binary operator.
It is like finding the “God Particle“ for calculus.
In computer science, every complex program breaks down to a single logical operator: the NAND gate. It is the fundamental building block of all digital reality.
But for continuous math, physics, engineering, machine learning, we thought we needed a massive toolbox.
Addition. Subtraction. Trigonometry. Logarithms.
Every scientific calculator and neural network has to juggle all of them.
Until today.
But this paper proved that every single mathematical function can be generated by a single, bizarre binary operator.
eml(x,y) = exp(x) - ln(y).
Combine that with the number 1, and you can build everything.
Pi. The square root. Sine and Cosine. Arithmetic.
It is all just the exact same operator, repeating over and over again in a binary tree.
Nobody anticipated this existed. It was found by systematic exhaustive search.
But the implications for AI are massive.
Instead of an AI struggling to combine different mathematical rules to discover a new scientific law, it can just use a single, uniform architecture.
One trainable circuit. One repeatable node.
We thought the language of the universe was complex.
It turns out, it’s just one equation repeating in the dark.
Paper: https://arxiv.org/html/2603.21852v2…
ok this is wild.
everyone’s bolting Claude onto Blender with a connector.
Mixar just rebuilt Blender so the AI agents live inside the editor, generation, texturing, UV unwrapping, all native.
and it’s open source.
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