| >do you know of the number of groups who are actively developing AGI? who have made steady progress over the years? I do not. It seems like researchers who call themselves AGI researchers have made no more significant progress than researchers developing specific analysis techniques. Do you have a list of these groups? I would be very interested to read about their approach and progress. On the human brain initiative it seems like their is such a huge gap between AGI and current techniques that these HBI projects (and the US response[0]) are a bit misguided into giant neural simulations. > ... companies specifically pursuing AGI and I see a whole range of individuals ... I completely agree this is the necessary approach to pursuing AGI. Who are these companies? They sound awesome and I would like to learn more. Are you talking OpenAI? Some other companies? Geohot. Will check him out. EDIT: oh, George Hotz. He is using deep learning[1] Agreed deep learning will be a tool, but not the end of AGI. Companies padding with deep learning PhDs are looking more at specific tasks that can be tackled with deep learning. Also, I would argue that deep learning has become an umbrella term for all neural network based approaches (great marketing) and there are still great advances to be made with DL building blocks. [0] https://en.m.wikipedia.org/wiki/BRAIN_Initiative [1] http://www.bloomberg.com/features/2015-george-hotz-self-driv... |
I mentioned George Hotz to highlight a capable individual with vision, passion, and capability who 'thinks different'. With many individuals, the capability is there. However, often times the vision, passion, or capability to think different isn't. Funny then that there becomes this hiring norm which attempts to find the 'most capable' individual and ignores the other more important characteristics.
Time will tell. I'm personally looking elsewhere beyond the names everyone mentions when it comes to development in this space.