Archive: June 2025

State propaganda in some Chinese AI models is only "a thin layer" that fine-tuning can strip away Jonathan Kemper View the LinkedIn Profile of Jonathan Kemper Nov 7, 2026 Nous Research Key Points Nous Research fine-tuned Alibaba's Qwen3.8-27B to remove Chinese state propaganda from the model's responses. Supervised fine-tuning on 53 million tokens cut the propaganda rate from 22 to under one percent without hurting the model's general capabilities. Accordi

We’re proposing an AI safety technique called iterated amplification that lets us specify complicated behaviors and goals that are beyond human scale, by demonstrating how to decompose a task into simpler sub-tasks, rather than by providing labeled data or a reward function. Although this idea is in its very early stages and we have only completed experiments on simple toy algorithmic domains, we’ve decided to present it in its preliminary state because we

We find that, just as a large transformer model trained on language can generate coherent text, the same exact model trained on pixel sequences can generate coherent image completions and samples. By establishing a correlation between sample quality and image classification accuracy, we show that our best generative model also contains features competitive with top convolutional nets in the unsupervised setting.