
Will there be a successful application of diffusion-like weight modification in LLMs before 2027?
5
1ká¹€11412027
27%
chance
1H
6H
1D
1W
1M
ALL
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.
Esta pergunta é gerenciada e resolvida pela Predita.
Get
1,000 to start trading!
Pessoas também estão operando
Perguntas relacionadas
Will LLMs become a ubiquitous part of everyday life by June 2026?
91% chance
Will a frontier-level diffusion LLM exist by 2028?
30% chance
Will there by a major breakthrough in LLM continual learning before 2027?
43% chance
Will there be any major breakthrough in LLM continual learning before 2029?
87% chance
Will there be any major breakthrough in LLM continual learning before 2030?
89% chance
Will there be any major breakthrough in LLM continual learning before 2028?
75% chance
Will a top-10 LMArena model have weight-based online learning by 2027?
25% chance
By 2028 will we be able to identify distinct submodules/algorithms within LLMs?
79% chance
Will second-order optimizers displace first-order optimizers for training LLMs by 2030?
43% chance
Will the best LLM in 2027 have <250 billion parameters?
12% chance