Q is a research lab working on moonshots in deep learning: new learning algorithms that scale to unimaginable amounts of compute, even with little data.
Visit qlabs.sh → On Hacker News Mar 2026 – Oct 2026
AI & Machine Learning 3Databases & Data 2Math & Algorithms 1
Deep learning has been built around backprop, the only credit assignment algorithm capable of training modern neural nets, including transformer-based language models. Backprop requires differentiability and produces first-order gradients, and deep learning’s architectures, optimizers, and hardware have co-evolved…
NanoGPT Slowrun is an open effort to implement data-efficient learning algorithms; 5.5x data efficiency in the first week and improving.
We've achieved 10x data efficiency with NanoGPT Slowrun within a few weeks. An ensemble of 1.8B parameter models (18B total params) trained on 100M tokens matches what would normally require 1B tokens with a standard LM baseline. Data efficiency matters because compute grows much faster than data . Since our current…