I gave this talk a while ago to a small group of attendees. It was not recorded (I saw some ask below). It's based on a document I wrote a while ago called "You suck at writing AI" (never published). The basic argument was that people are comically inadequate at writing complex code. You can't write the code to detect a cat in an image and the correct thing to do is to give up, write down an objective that measures the desiderata and pay with compute to search a function space for solutions. In the same vain, the idea of writing an AGI and all of its cognitive machinery is preposterous and the correct thing to do is to give up, think about the objective and search the program space for solutions. Unfortunately, the mindset of decomposition by function (see Brooks ref), which has worked so well for us in so many areas of scientific inquiry, is just about the most misleading mindset when it comes to AGI.