multimodal generation
2 published articles
Qwen / Alibaba6 min read
AI Labs & Research
An AI that can see its own mistakes and undo them
A training-free AI sampler that generates images and text together, retracting decisions when cross-modal signals contradict each other. The paper's CO₂Jump outperforms existing methods and suggests a structural fix for a blind spot in multimodal AI.
2026-07-17
AIFeatured4 min read
Generative AI
An AI that can see its own mistakes and undo them mid-generation
Google introduces CO2Jump, a training-free sampler for joint text and image generation. It uses a self-correcting Markov jump process where each modality's confidence scores guide the other's updates in real time, catching cross-modal errors mid-generation.
2026-07-14