This week’s AI paper roundup spans video world models, red-teaming, memory and search
TheTuringPost · x · 2026-08-04
A weekly roundup of must-read AI papers, spanning video world models, distillation, red-teaming, long-term memory, agentic search, and open-ended AI research.
Highlighted papers include:
- Wonder: Video World Model Done Better
- DistillAlign on mode covering and mode seeking in autoregressive video distillation
- Parallel Decoding Distillation for faster image/video generation
- GPT-Red for automated large-scale self-play red teaming
- Can AI Agents Conduct Open-Ended AI Research? with two case studies
- AskChem for chemistry literature synthesis
- A New Role for Relevance in agentic search
- Memory Decoder at Scale for long-term memory
- SkillRise on agentic RL for cross-task skill evolution
- INTACT on intent-to-action learning for world models
The post links to the full curated list.
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