目前做大模型+机器人的 最大难点,在于获取数据 。谷歌和微软都选择了从收集家用动作入手,未来其他场景,比如办公室、街道、商场、工厂,如果能训练出来一个个小模型,融入到底层大模型里面,将会是创业公司的重要壁垒。

Rui Wang thinks human-designed challenges are going to be a bottleneck and that real progress in AI will require AI to come up with its own. “No matter how good algorithms are today, they are always tested on some hand-designed benchmark,” he says. “It’s very hard to imagine artificial general intelligence coming from this, because it is bound by f... See more

At the same time, we are continuing our investment into generative AI to drive efficiency gains across our business and deliver innovative customer and partner experiences. For example, we have rolled out AI-powered dish descriptions in 5 out of 8 markets at scale. Our experiments have shown a significant improvement in checkout rates from our long... See more

The chief challenge, as Lee sees it, is how to make AI smarter without just throwing more data and computing power at it. His hope rests on the iterative tweaking of algorithms that improve the performance of AI at a “geometric pace.”

the goal of advancing digital intelligence in a way that would be beneficial to humanity