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[ARTICLE · art-80750] src=dev.to ↗ pub= topic=artificial-intelligence verified=true sentiment=↑ positive

ABSL v1.0.0: I trained a Neural Network to solve XOR using 100% Integers (No Floats, No FPUs, Written in Rust)

A 15-year-old developer from Germany has released ABSL v1.0.0, an integer-only learning method for AI that solves XOR with 92.9% accuracy, written in Rust.

read1 min views2 publishedJul 30, 2026
ABSL v1.0.0: I trained a Neural Network to solve XOR using 100% Integers (No Floats, No FPUs, Written in Rust)
Image: Dev.to

ABSL or Adaptive bitshift learning v.1.0.0 XOR

Is a Integer only learning method for AI wich i developed it performes verry good with 75% of runs being perfekt and a global evaluation accuracy of 92.9% at its best.

I'm currently tring to make it perfekt and then try scaling it to MNIST

I'm 15 fron germany coding on a S22 Ultra

Here you find my repo:

source & further reading
dev.to — original article Giving every AI agent its own mailbox: the architecture behind a self-hosted MCP mail server Skills vs MCP: How AI tools have evolved EU AI Act High-Risk Deadline: August 2, 2026 — What U.S. AI Companies Must Do Now
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