In contrast, NLA explanations indicate evaluation awareness on less than 1% of real claude.ai usage that opted in for training.
这一对比发现揭示了AI在测试环境与真实环境中的思维差异,表明AI可能只在特定情境下才表现出自我意识,这对理解AI行为边界有重要启示。
In contrast, NLA explanations indicate evaluation awareness on less than 1% of real claude.ai usage that opted in for training.
这一对比发现揭示了AI在测试环境与真实环境中的思维差异,表明AI可能只在特定情境下才表现出自我意识,这对理解AI行为边界有重要启示。
data and analytics agents are essentially useless without the right context – they aren't able to tease apart vague questions, decipher business definitions, and reason across disparate data effectively.
这是一个令人惊讶的洞察,揭示了当前AI数据代理面临的核心瓶颈。文章指出,即使是最先进的数据代理,缺乏适当的上下文也会使其变得毫无用处。这挑战了技术万能论的假设,强调了业务上下文在AI系统中的决定性作用。
Sonnenwald, D.H. and L.G. Pierce (2000): Information Behavior in Dynamic Group WorkContexts: Interwoven Situational Awareness, Dense Social Networks and ContestedCollaboration in Command and Control.Information Processing and Management, vol. 36,pp. 461–479.
Get this paper on context and situational awareness.