Research tag description
View All Tags
A comprehensive report on extending backprop-free “NoProp” diffusion training from image classification to text generation, covering state-of-the-art diffusion LMs, alternative learning rules, challenges, and research directions.
Exploring how carefully curated, minimal datasets can unlock powerful LLM capabilities and reduce training costs.
Our AI systems generate high-entropy reinforcement learning data through real-world interactions, abstract and generalise via text diffusion models, and continuously retrain using no-propagation techniques. We're building a self-contained loop of autonomous improvement: this is artificial super-intelligence.