[calafrax]

There is good reason to think that ML style techniques won't work.

The problem is that computers have long since surpassed human computational capabilities by orders of magnitude but the increased computational abilities don't make them much more intelligent.

For a computer to identify objects in a picture, with sub-human accuracy, it must be trained on a dataset of billions of photos and get massive amounts of human feedback to tune its algorithms.

The human mind can perform the same task with a sample data set many orders of magnitude smaller.

This would tend to indicate that the mechanism being used by ML is not the same mechanism as the brain uses or is vast inferior by many orders of magnitude.

The further computational power increases without producing intelligence the less likely it is that raw computation can produce intelligence.