I had the honor of giving a keynote at the International Conference on Machine Learning in Seoul last week titled “What will be left for us to work on?” I addressed the widespread anxiety about how we should adapt as AI capabilities increase. I was thrilled by the talk’s reception, so I have made my slides available, annotated with a lightly edited transcript: https://t.co/vNgRJCL57B
I made three arguments. First, the "AI as Normal Technology" framework is a correct and useful as a way to think about AI’s impacts, unless and until there is some future discontinuity such as through recursive self-improvement. Second, even though we should take recursive self-improvement seriously, there is no milestone that companies might achieve in the lab that will suddenly put us all out of work. Third and finally, jobs of the future will be radically different, and a lot of adaptation will be needed. I shared my thinking about what this might look like and ended with a vision of human/AI “co-superintelligence”.
Today at #GoogleNext19, we unveiled our vision for a more helpful Cloud. Anthos brings together the simplicity of open-source platforms, Google’s deep technical and security expertise, and the freedom to choose the right cloud partner for the job https://t.co/IHOYuoEcBO
With AWS SCPs becoming more advanced, the frustration in understanding why an action was denied is going to increase. As an admin in an account, you have no ability to see what SCPs affect you. Error responses and log messages do not indicate cause of an access denied.
Security is incredibly important to us at @awscloud and the #serverless team. I am excited to share a newly published doc that should help explain in depth how security is handled for #awsLambda - Security Overview of AWS Lambda - https://t.co/ZKASo50kge