This market resolves YES if a peer-reviewed research paper or major tech company publication (e.g. from Google, Meta, X.AI, OpenAI, or Anthropic) by 1/1/2027 demonstrates successful application of diffusion-like techniques (noising and trained denoising) to directly modify LLM weights usefully toward some safety or capabilities-relevant downstream purpose. Resolution will be based on papers indexed on arXiv.org or published on major AI research blogs.