This approach has always interested me. I can train an decent Cats Vs. Dogs classifier in a few minutes. But real human intelligence takes many years of continuous and varied input to develop.
Are there systems out there that are taking influence from newborns being exposed to the world? An unsupervised learning system with a huge array of inputs running for years?
All these current examples of AI and ML are just a very small fraction of what we mean by intelligence so I'm not surprised by the pessimistic posts that hit HN from time to time.
Training systems with rich real world experiences sounds something that Open AI should be developing. It's probably not something that you can do over a weekend plus it takes serious of funding and wetware so it's probably the reason it's not there yet.
Are there systems out there that are taking influence from newborns being exposed to the world? An unsupervised learning system with a huge array of inputs running for years?