李飞飞和Yunzhu Li直接点出机器人训练的数据瓶颈，并分享用数字世界生成数据替代真实数据的思路，和语言模型的对比很直观。
World Labs CEO李飞飞与SceniX联合创始人Yunzhu Li在a16z的对话中指出，机器人领域面临训练和评估数据严重缺乏的问题，这与互联网上数据丰富的语言模型截然不同。他们认为必须通过世界模型建模环境来释放缩放定律的潜力。通过创建数字世界生成数据，可以替代昂贵且危险的真实环境数据，实现机器人的可扩展学习和评估。
World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and h...
World Labs CEO Dr. Fei-Fei Li & SceniX Co-Founder Yunzhu Li on the data bottleneck in robotics and how world models help: "The lack of data in training, the lack of data in evaluation, this is very, very different from language models, where data is abundant on the internet." "And we know that in order for robotics to work, we have to somehow unlock the power of scaling law. But where does that come from?" "It's a profound problem that everybody's battling with in robotics." "We see a lot of unlock in being able to do this whole process through the modeling of the environments." "Being able to create these digital worlds... that's just going to unlock so much more potential for being able to replace all the costly and the unsafe data in the real environments with the data generated from the worlds for robots to be able to do scalable learning and evaluations." @drfeifei @YunzhuLiYZ @martin_casado Your browser does not support the video tag. 🔗 View on Twitter Fei-Fei Li @drfeifei When SceniX joined World Labs, we said spatial intelligence was never only about perceiving and generating virtual and physical worlds, but also interacting with them. Today, we’re sharing early results from that vision: building worlds that train robots. 🌎🤖↓ Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 0 🔄 5 ❤️ 22 👀 6855 📊 3 ⚡
- Fei-Fei Li16:13原文