I'm not saying NLP/Vision is not important, but we approach these modalities in a very specific way. When we "work on NLP" it looks something like https://blog

I'm not saying NLP/Vision is not important, but we approach these modalities in a very specific way. When we "work on NLP" it looks something like https://blog.openai.com/learning-to-communicate/ https://blog.openai.com/learning-to-communicate/ or http://www.foldl.me/2016/situated-language-learning/ http://www.foldl.me/2016/situated-language-learning/, as an emergent phenomenon in the service of a greater objective - not an end but a means to an end. It does not look like doing sentiment analysis or machine translation. When we "work on Computer Vision" it looks like including a ConvNet into the agent architecture or a robot, it doesn't look like trying to achieve higher object detection scores.