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SimpleMind

SimpleMind: A Neural Network Implementation in JAX

The SimpleMind class is a powerful yet straightforward implementation of a neural network in JAX. It supports various activation functions, optimizers, and regularization techniques, making it versatile for different machine learning tasks. With parallel backpropagation and detailed logging, it provides an efficient and transparent framework for neural network training.

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mindXtrain Day 1 — Why MI300X for Sovereign Cognition

Day 1 of the AMD × lablab.ai Developer Hackathon. Today the scaffolding goes up: mindXtrain, a one-command Qwen3 fine-tuner native to AMD MI300X. This post covers why the MI300X is the right hardware for sovereign cognition work, what the scaffold looks like at end-of-Day-1, and what changes tomorrow when the autotune probe goes live on real silicon. 1. Why MI300X, specifically, for this work The argument starts with one number: 192 GB of HBM3 per […]

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from future import

from __future__ import: How a Language Imports the Future Without Breaking the Present

from __future__ import is a compiler directive disguised as an import. A definitive tour of how Python, Rust editions, Haskell, Scala, JS/Node, Go, C++ and Java each import the future — and what a self-editing system should learn from it.

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