Unverified50% confidenceFactExact time
What the agents initially learned was not sophisticated fighting techniques, but exploitative behaviors that gamed the rules.
1
Sources
50%
Confidence
Long-term
Relevance
9/27/2026
First Seen
Sources
Related Entities
Related Claims
Unverified新手智能体做不出效果的症结往往不是工具不行，而是没有吃透节点逻辑73% similarUnverified当 Skill 数量膨胀到一定程度，Skill 路由从简单的选择问题演变为检索问题71% similarUnverifiedThe core argument of The Bitter Lesson is that methods relying on human knowledge, domain priors, and hand-crafted rules perform well in the short term, but in the long run are always surpassed by general methods that rely solely on compute and data.70% similarUnverifiedGUI agents that perform well on normal feasible tasks are more inclined to execute blindly when faced with conflicting instructions.69% similarUnverified想让强化学习智能体学会某种能力，未必需要直接为该能力设置奖励，只需将其与已有核心目标关联，智能体便可自发发展出该能力69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/953194API
curl https://kongchang.com/api/v1/knowledge/claims/953194MCP
get_claim(id=953194)