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Brett Winton: 人工智能语言模型的突破适用于如此多的领域 (自动出租车,长读基因序列重建,这里是机器人能力) 让我怀疑图像生成突破(扩散)将具有类似的跨域适用性 https://t.co/CuI7aKmZmi 引用来自@hausman_k 的推文: 隆重推出 RT-1,这是一种可以在现实世界中以 97% 的成功率执行 700 多条指令的机器人模型! 推广到新任务✅ 对新环境和新物体具有鲁棒性✅ 实时控制的快速推理✅ 可以吸收多机器人数据✅ 鲍尔斯说可以✅ ?? https://t.co/HNcRZAPIl0

Posted on 2022-12-14

原推:That the AI language model breakthrough applies to so many domains

(autonomous taxis, long read gene sequence reconstruction, here robotic capability)

makes me suspect that the image generation breakthrough (diffusion) will have similar cross-domain applicability https://t.co/CuI7aKmZmi

Quoted tweet from @hausman_k:

Introducing RT-1, a robotic model that can execute over 700 instructions in the real world at 97% success rate!

Generalizes to new tasks✅

Robust to new environments and objects✅

Fast inference for real time control✅

Can absorb multi-robot data✅

Powers SayCan✅

?? https://t.co/HNcRZAPIl0

https://twitter.com/wintonARK/status/1602771707697123328

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