Mark_Friedenbach comments on Are there really no ghosts in the machine? - Less Wrong
You are viewing a comment permalink. View the original post to see all comments and the full post content.
You are viewing a comment permalink. View the original post to see all comments and the full post content.
Comments (20)
I never claimed that evolution did a good job, but I would argue that it gave us a primary directive; to further the human species. All of our desires are part of our programming; they should perfectly align with desires which would optimize the primary goal, but they don't. Simply put, mistakes were made. As the most effective way of developing optimizing programs we have seen is through machine learning, which is very similar to evolution; we should be very careful of the desires of any singleton created by this method.
Mimicking the human brain is fundamental to most AI research; on DeepMind's website, they say that they employ computational neuroscientists and companies such as IBM are very interested in whole brain emulation.
Mimicking the human brain is an obscure branch of AI. Most AI projects, and certainly the successful ones you've heard about, are at best inspired by stripped down models of specific isolated aspects of human thought, if they take any inspiration from the human brain at all.
DeepMind for example is reinforcement learning on top of modern machine learning. Machine learning may make use of neural networks, but beware of the name: neural networks only casually resemble the biological structure from which they take their name. DeepMind doesn't work anything like the human brain, nor does Watson, Deep Blue, or self driving cars.
Learn a bit about practical AI and neuroscience and you'd be surprise how little they have in common.