dailyai.report

Nemotron-Labs researchers developed a diffusion-based language model to challenge the slow, token-by-token nature of autoregressive generation. This approach generates entire sequences simultaneously rather than sequentially. While promising for speed, the team notes that scaling these models to match LLM quality remains difficult. Practitioners should watch for breakthroughs in non-linear text synthesis.