jbelanich | 13 years ago | on: Andrew Ng and the Quest for the New AI
jbelanich's comments
jbelanich | 13 years ago | on: Stop externalising your life
"Write about it in more than 140 characters; on paper even. Paint a picture of it. Talk about it face to face with your friends. Talk about how it made you feel"
It doesn't seem the author is complaining about all externalization, just the externalization that takes place during experiences, like posting pictures of yourself eating a meal while eating said meal. I just don't see the irony you mention, as he is doing exactly what he said people should be doing.
As for the rest of your comment...I'm inclined to agree that the author's post is an overgeneralized complaint, perhaps even with fundamental logical flaws. However, hidden in the haphazard argument there seems to be a tinge of truth regarding over-sharers.
jbelanich | 13 years ago | on: Stop externalising your life
jbelanich | 13 years ago | on: Stop externalising your life
Second, I don't necessarily believe the "humans are social animals" argument. I completely agree with you about that fact. But that doesn't mean it is good for us to try and make ourselves look attractive to other people, or that it makes us happy. I tend to think of it more as a drive or an itch. We don't receive happiness in the act of posting things on twitter (modulo the excitement that comes from anticipating for acknowledgement), but we "scratch the itch" when we get recognition. Is that scratching worth being dissociated with what is going around you? I don't really know, maybe it is for different people. In either case, arguing that posting to twitter is fine because "thats what people do" doesn't seem very satisfying to me.
jbelanich | 13 years ago | on: Hire talent, not five years with Java
You are also right that you do need a lot of processing power to get neural networks to work well. But that is changing rapidly. Hinton's convolutional neural network has the state of the art in the ImageNet benchmark, yet was trained using significantly less power than google brain. Regardless, you don't need google scale computation to get deep networks to work well. The point of google brain is to see how far one could push neural networks.