So what? The paper points out a methodological problem that in itself
has little to do with neuroscience. The field as a whole is hardly
mortally afflicted with that problem (whether it's even real or not).
If you look at any field large enough, there will be bad science. How
is it relevant to study of AGI?
Your child comes home and says they make a zero on the big test.
A child says they made 80 on the test and failed , The reason they missed
80 questions out of 100.
A child says they had a grade of 98 right and the teacher gave them a B.
The reason there were 110
questions on the test.
The value of data is not the data it self but the meaning in the
global/local system.
The question then do you focus on data production in an AGI system or to
focus your
attention on the relativitistic meaning of the information and can that be
created in
an electronic, sound, light, liquid or wavelet system. Which system will
give you the
best performance?
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agi
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