I often wonder about this.  Four things are needed to truly build advanced AI&#x27;s (read deep learning, deep reinforcement learning): new algorithms, complex data sets, and advanced GPU based computing (optimally GPU in any case) but also an open community.<p>I think AI research is one of the most open, and this openness is really at the center of its growth.  So I am happy OpenAI has started since it is within this vein of sharing that the community has already built.  But I certainly don&#x27;t fully grasp how it can open AI to the world unless it can share rather valuable data sets (often impossible to get data such as personal health record), and make computation much much cheaper.<p>Let me illustrate my concern; Alphago required not just 30m game sets and complex understanding of both a policy and value network design, but also 1000 CPU and 200+ GPU instances.  Something on the order of a few million dollars to build and utilize.<p>I look forward to the work coming from OpenAI.  I hope it lives up to the hype.  But I believe AI will more than likely remain squarely in large enterprise since the cost of developing applications will be high for the short and possibly for the near long term.