ECCV上研究AI如何做生意
ECCV上,顶尖学者们开始研究如何让AI做生意了
朋友,ECCV会议上有64支团队研究AI如何做生意,挺有意思的,值得看看。
在ECCV会议上,全球64支团队参与研究,探索让AI参与商业流程的新方法。多模态AI专家们正在开发相关技术,以提升AI在商业场景中的应用能力。
ECCV上,顶尖学者们开始研究如何让AI做生意了
多模态AI大牛轮番登台,全球64支团队组团解题
ECCV上,顶尖学者们开始研究如何让AI做生意了
朋友,ECCV会议上有64支团队研究AI如何做生意,挺有意思的,值得看看。
在ECCV会议上,全球64支团队参与研究,探索让AI参与商业流程的新方法。多模态AI专家们正在开发相关技术,以提升AI在商业场景中的应用能力。
ECCV上,顶尖学者们开始研究如何让AI做生意了
多模态AI大牛轮番登台,全球64支团队组团解题
Michael Black 是计算机视觉领域的大牛,他提出的这个问题很尖锐,值得一看。
For researchers in computer vision, this piece offers a critical perspective on how the field is evolving with the rise of large models, questioning the relevance of traditional methods and suggesting new approaches.
The practical implication is that agent interoperability breaks down not from capability gaps but from unstated conventions, so inter-agent protocols may need explicit shared norms rather than smarter models. Teams building multi-agent systems that span different vendors should add instructions telling agents to avoid unstated conventions and prefer actions any partner can read correctly. The finding applies to anyone chaining GPT-5.2 and Gemini 3 Pro agents together today.
Anthropic 研究员测了 GPT-5 等模型审智能体日志的能力,98% 漏不掉但误报堆积,做智能体安全的可以看看
有人做了个ShadowBench,让6个前沿模型用双手摆动物手影,结果全军覆没,连一个都摆不出来,很有意思的空间理解测试。