[FrustratedMonky]

Reading through the twitter thread, and these comments. It reminds me of all of the back and forth when HN discusses Psychology.

One side, holding a pipe, 'well actually, back in 1954, I put together an analog variant of a neuron perceptron built out of old speaker cables and car parts, strung it across the living room and it could say 10 words and fetch my slippers'. 'Really', 'Yes, Indubitably'.

The other side, It's all, 'REEEEEEEEEE'

[peterfirefly]

https://en.wikipedia.org/wiki/Elmer_and_Elsie_(robots)

"Elmer and Elsie, or the "tortoises" as they were known, were constructed between 1948 and 1949 using war surplus materials and old alarm clocks."

"The robots were designed to show the interaction between both light-sensitive and touch-sensitive control mechanisms which were basically two nerve cells with visual and tactile inputs."

[FrustratedMonky]

A very bad comment, that failed to make a point, and that wasn't very humorous.

I meant to make relationship between Psychology and Machine Learning.

Psychology, the study of the mind, with questionable scientific methods and a replication problem.

And

Machine Learning, (that is taking the mind as a model), with questionable scientific methods, and replication problem, and the addition of corporate hype machines.

Often in last few months we stand in awe of what AI achieves, but it produces questionable results, and has a lot of problems. Machine learning is worshiped.

And yet often in last few months, posts on Psychology is railed on and called a field full of con-men and BS-Artists.

Why the duality? Both are young fields and stretching. Rapidly making progress, hitting dead ends, and changing course. The scientific method isn't a strait path. But Psychology doesn't seem to be given much leeway to make errors and course correct.

I just find it hitting a peak right now, because the study of the Human Mind (wet net) and Machine Mind (electric net). Seem to be hitting a lot of the same issues. There are so many parallels in how they are spoken of, so many common problems and how they are framed within each field.

Wonder how long until we just openly talk about a field of Psychology of Machines, where we use the same tools to try and understand what the Neural Nets are thinking.