Hexo Labs released SIA (Self Improving AI), the first open-source framework that co-evolves both an agent's scaffold and its model weights in a single iterative loop. On the LawBench task, SIA achieve…
Researchers from the SIA project have released a self-improving AI framework that enables language-model agents to autonomously update both their operational harness and model weights during inference…
Hexo Labs released SIA (Self-Improving AI) as an open-source framework under an MIT license this week, enabling an AI agent to edit both its scaffold and model weights within a single self-improving l…
Researchers have developed SIA, a self-improving AI system that updates both its own software scaffolding and internal model weights without human intervention, combining two previously separate appro…
Hexo AI has released SIA, an open-source self-improving AI system that can recursively update its own code, model weights, and memory layer based on performance feedback. The system outperforms specia…
Researchers demonstrated that multi-level Floyd-Steinberg error-diffusion dithering, a lightweight input transformation, can disrupt adversarial attacks against vision foundation models while preservi…