Darren LI

But why make this point? Well, splitting the hair between profit and usage is important to measuring long-term success. If a project gets great adoption but cannot drive revenue, it will die. Some wishful thinking might argue that the community will take over, but there’s been little evidence to indicate this happens.

“self-driving car companies aren’t worried about controlling the car to drive in a straight line, but rather about a situation in which someone paints a sky onto the back of a truck and drives in front of the car”,从而混淆了感知系统。Sergey Levine的观点是:参考自动驾驶的经验,费劲的不是车辆的controller,而是应付现实世界的复杂性。

Many of these projects are saving time by training on small, highly curated datasets. This suggests there is some flexibility in data scaling laws. The existence of such datasets follows from the line of thinking in Data Doesn't Do What You Think, and they are rapidly becoming the standard way to do training outside Google

I tell my AIs what to do. I push a button. They do it instantly and it costs me about $1.50 to $3.00 in OpenAI API charges.

The quest to be shoppers' No. 1 destination has two tech giants pitted against each other. After losing ground to Amazon, Google is doubling down on Shopping to be customers' first choice.

Cocos,Unity,Unreal 也像是找到了各自的定位。不再大规模投入去尝试进入对方的领域