> I would absolute stomp the vision SDK on accuracy I suspect our recognition abilities may in fact be worse than that of a good SDK but we have the advantage

> I would absolute stomp the vision SDK on accuracy I suspect our recognition abilities may in fact be worse than that of a good SDK but we have the advantage of a general real world experience. Bit of a simplified example, in order to recognize a dog you should have seen a lot of various animals, have a basic knowledge of anatomy, animal behaviour etc. A lot of the times recognizing the context helps too: e.g. something on a lead ahead of a walking human in the street, likely a dog - you need only a very quick confirmation to say it's definitely a dog, etc. I also think the brain does a lot of tree searches with optimizations (which are never perfect), and it's where the brain's parallel architecture proves to be beneficial. Intuitively though, modern computers are still not powerful enough to perform the same tasks albeit mostly sequentially. I believe we'll get there and I think AGI in a simplified virtual/gaming environment is the best place to test our approaches.