I have been watching the videos coming out of the MIT AGI course. I was commenting on Josh Tenenbaum’s video on twitter when Jack Clark (journalist at OpenAI) wondered why we were not more a part of the conversation. Another comment suggested we write a response to the 2017 paper Building machines that learn and think like humans:
I have now read Building machines that learn and think like humans and the responses from other parties included in the paper. I’m going to take the suggestion and write a response from Numenta to this article.
I want our response to be well-informed, but our focus at Numenta is not to read all the latest AI research papers. We focus on specific neuroscience papers. I know many of you have ties to other areas in machine learning, and if anyone knows any major progress being made in the areas below, please post a link to a paper or article below so I can add it.
There are several areas highlighted in the article where AI needs to focus. I’ve listed them below along with any new papers or articles I’ve found published after the original paper above. Please help me add more to this list.
- https://github.com/logangraham/arXausality (need help parsing this list)
- learning to learn
- core ingredients (hard-coded components)