Unverified85% confidenceFactExact time
Long-horizon decision problems involve decision spaces growing exponentially with time steps (combinatorial explosion) and the credit assignment problem where early decisions' consequences manifest many steps later
1
Sources
85%
Confidence
Long-term
Relevance
7/30/2026
First Seen
Sources
Can OpenAI's Most Powerful Agent Independently Run a Business? Real-World Testing Reveals the Answer
Related Entities
Related Claims
Unverified护栏设计的核心权衡是延迟成本——越复杂的检查逻辑，响应时间增加越多67% similarUnverified去中心化协商在 LLM 场景中容易产生「智能体循环争论」等不可控问题，工程落地成本显著高于中心化编排67% similarUnverifiedLow latency and high-quality inference are often difficult to achieve simultaneously, and a front-end/back-end separation architecture resolves this contradiction through tiered task routing.65% similarUnverifiedExcessive upfront thinking incurs increased latency and computational costs, which may not be worthwhile in scenarios that prioritize response speed.65% similarUnverified决策树方法通过一系列关键问题（任务时间跨度、信息规模与检索需求、成本与延迟约束）逐步收敛到最合适的记忆方案64% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/680551API
curl https://kongchang.com/api/v1/knowledge/claims/680551MCP
get_claim(id=680551)