Unverified60% confidenceTradeoffExact time
Compared to one-shot answers, deep research sacrifices response speed in exchange for greater information completeness and reliability.
2
Sources
60%
Confidence
Long-term
Relevance
8/16/2026
First Seen
Sources
Mole:运行在终端的开源深度研究智能体
Related Claims
UnverifiedSupplementing key experiments, ablation analyses, or comparative data is often more persuasive in a rebuttal than lengthy argumentation.76% similarUnverifiedAccording to feedback from multiple users on X and Reddit, fast responses sometimes come at the cost of reasoning depth, and output quality on complex tasks may be inferior to slower large models.74% similarUnverified在垂直领域(如法律、医疗)表现不佳时,通过收集高质量问答数据进行微调往往比无限优化Prompt更有效且更可持续73% similarVerifiedAlignment research typically has long cycles and results that are difficult to quantify, putting it at a disadvantage in resource competition compared to capability improvements that can be demonstrated quickly.73% similarUnverifiedIn fast-paced work scenarios, the traditional academic-style answer structure (background–analysis–conclusion) significantly reduces information extraction efficiency.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/758724API
curl https://kongchang.com/api/v1/knowledge/claims/758724MCP
get_claim(id=758724)