LLaDA2.2-flash brings diffusion LMs into agentic tool use with DELETE/INSERT tokens.

Ant Group's inclusionAI released a 100B non-embedding-parameter MoE diffusion model adding Levenshtein Editing, explicit DELETE and INSERT control tokens, so diffusion decoding can restructure a sequence and open insertion slots during parallel generation instead of only unmasking in place. That editing capability is what makes multi-turn tool use and error correction tractable for a diffusion model. Trained with L-EBPO using agentic environment rewards; 128K context via Block Routing. They evaluated the SWE-bench series using the Claude Code scaffold, which is its own small signal. (Hugging Face)