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@hardmaru

A "Neural Computer" is built by adapting video generation architectures to train a World Model of an actual computer that can directly simulate a computer interface. Instead of interacting with a real operating system, these models can take in user actions like keystrokes and mouse clicks alongside previous screen pixels to predict and generate the next video frames. Trained solely on recorded input and output traces, it successfully learned to render readable text and control a cursor, proving that a neural network can run as its own visual computing environment without a traditional operating system. https://t.co/roTpqsdrEE Cool work by @MingchenZhuge @SchmidhuberAI et al.!

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    "text": "๐Ÿซฑ Introducing ๐๐ž๐ฎ๐ซ๐š๐ฅ ๐‚๐จ๐ฆ๐ฉ๐ฎ๐ญ๐ž๐ซs: \n\n๐ฐ๐ก๐š๐ญ ๐ข๐Ÿ ๐€๐ˆ ๐๐จ๐ž๐ฌ ๐ง๐จ๐ญ ๐ฃ๐ฎ๐ฌ๐ญ ๐ฎ๐ฌ๐ž ๐œ๐จ๐ฆ๐ฉ๐ฎ๐ญ๐ž๐ซ๐ฌ ๐›๐ž๐ญ๐ญ๐ž๐ซ, ๐›๐ฎ๐ญ ๐›๐ž๐ ๐ข๐ง๐ฌ ๐ญ๐จ ๐›๐ž๐œ๐จ๐ฆ๐ž ๐ญ๐ก๐ž ๐ซ๐ฎ๐ง๐ง๐ข๐ง๐  ๐œ๐จ๐ฆ๐ฉ๐ฎ๐ญ๐ž๐ซ ๐ข๐ญ๐ฌ๐ž๐ฅ๐Ÿ?\n\nBeyond today's conventional computers, agents, and world models, Neural Computers (NCs) are new frontiers where computation, memory, and I/O move into a learned runtime state. \n\nWe ask: whether parts of runtime can move inward into the learning system itself. This is our first step toward the Completely Neural Computer (CNC): a general-purpose neural computer with stable execution, explicit reprogramming, and durable capability reuse.\n\nWork done with Mingchen Zhuge (@MingchenZhuge), Changsheng Zhao, Haozhe Liu (@HaoZhe65347 ), Zijian Zhou (@ZijianZhou524 ), Shuming Liu (@shuming96 ), Wenyi Wang (@Wenyi_AI_Wang ), Ernie Chang (@erniecyc ), Gael Le Lan, Junjie Fei, Wenxuan Zhang, Zhipeng Cai (@cai_zhipeng ), Zechun Liu (@zechunliu ), Yunyang Xiong (@YoungXiong1 ), Yining Yang, Yuandong Tian (@tydsh ), Yangyang Shi, Vikas Chandra (@vikasc), Juergen Schmidhuber (@SchmidhuberAI)",
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