今天我们不聊AI有多聪明,而是聊如何让它更“会”做事。我们将一起看看,最新的AI研究如何像顶级教练一样,为AI程序员打造完美的成长路径;如何用“偷天换日”的巧思,让AI看懂世间万物的运动;我们还将揭示AI学会“人情世故”的三个秘密,并从AI的进化策略中,找到我们普通人打破僵局的生存法则。
AI程序员的成长烦恼,聪明还不够
从蝴蝶到纸飞机,如何让AI看懂世间万物的运动?
让AI更懂“人情世故”的三个秘密
别等“万事俱备”,从顶级AI算法看普通人的破局之道
本期介绍的几篇论文:
[AI] ResearchStudio-Idea: An Evidence-Grounded Research-Ideation Skill Suite from ML Conference Outcomes
[Microsoft Research & Nanyang Technological University]
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[RO] RoboDojo: A Unified Sim-and-Real Benchmark for Comprehensive Evaluation of Generalist Robot Manipulation Policies
[HKU & PKU & THU]
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[AI] LLM-as-a-Verifier: A General-Purpose Verification Framework
[Stanford University & UC Berkeley]
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[CV] Multiplayer Interactive World Models with Representation Autoencoders
[General Intuition & Kyutai]
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[CV] SPEAR: A Simulator for Photorealistic Embodied AI Research
[Adobe Research & Manycore Tech Inc]
![[人人能懂AI前沿] AI如何学会做事、看懂世界、融入我们?](https://image.xyzcdn.net/FqWpK8fpivLboaqBbRHUe_BCOvxu.png@small)