Darren LI

We introduce the Open X-Embodiment Dataset, the largest open-source real robot dataset to date. It contains 1M+ real robot trajectories spanning 22 robot embodiments, from single robot arms to bi-manual robots and quadrupeds.

Everyone knows that China is good at manufacturing. That’s been true for decades. What’s changed is that over the past five years, Chinese companies have caught up, and in some cases surpassed, the rest of the world in its understanding of mobile ecommerce consumer experience.

To address these concerns, several of the leading model companies are working on improved steering —a way to place better controls on LLM outputs—to focus model outputs and help models better understand and execute on complex user demands.

数据似乎表明特斯拉的方法比Waymo或Cruise表现得差得多,后者都使用更模块化的系统。这或许证明了大规模机器学习方法很难克服99.X%问题

NFT memberships give creators a way to strengthen their brands, build communities that have value, and let fans share in the upside as the community grows.

自动驾驶汽车公司尝试过这种方法,但尚未完全成功。许多自动驾驶汽车公司,比如特斯拉,尝试通过在大量数据上训练这样一个端到端的大模型来实现5级自动驾驶,他们拥有训练模型所需的资源,资金和数据。特别是特斯拉在实际部署的10几万辆汽车中,不断收集并注释数据。尽管如此,特斯拉迄今尚未能生产出5级自动驾驶系统。这并不是说他们的方法根本不起作用,它能够处理大量驾驶情况,然而,它远未达到99.X%的可靠性。