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Rohan Paul· @rohanpaul_ai · X·· 2026-06-11AI 评分64
AI 导读

Apodex-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。

正文 · 原文

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.

引用Apodex@Apodex_AI
Dive in 👇 📝 Blog: https://www.apodex.com/blog/apodex-1.0 📄 Tech report: http://www.apodex.com/pdf/20260608 💻 Github: https://github.com/ApodexAI/AgentHarness 🤗 Hugging Face: https://huggingface.co/collections/apodex/apodex-1 💬 Discord: https://discord.gg/TDJA59TCng2 ⏬ API Platform:https://platform.apodex.ai/
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来源:Rohan Paul · x.com