Rohan Paul@rohanpaul_ai · XApodex-1.0-H 发布一个异步智能体团队，用于深度研究。协调者将子智能体分配到独立上下文和工具，再通过事实核查、冲突审查和草稿审查智能体检验弱主张。该方案将深度研究视为分布式系统问题，展示了推理时缩放路径：通过多个协调搜索智能体、持久追踪和独立验证层提升答案质量，而非依赖单一更大模型，并声称取得 SOTA 结果。
Apodex-1.0-H just dropped a heavy-duty agent team for deep research
Claims SOTA results by splitting web research across many agents and auditing every evidence chain before writing the answer.
Treats deep research as a distributed systems problem for AI agents.
Apodex uses an async agent team： an orchestrator assigns sub-agents separate contexts and tools， then fact-checker， conflict-reviewer， and draft-reviewer agents test weak claims.
The real big deal is that Apodex is showing a possible "inference-time scaling" path for AI research， where better answers come not from one bigger model， but from many coordinated search agents， persistent traces， and a separate verification layer that audits the evidence before the final response is allowed to exist.