No. of Recommendations: 11
This is why you shouldn't give up on using AI to find safest high-cagr portfolios using the strategies I have posted here; these are the "worst" no matter which start date you use:
No doubt, AI can perform many tasks in a fraction of the time that it would take us.
However, I notice that on technical areas where I know the answer, AI is quite often simply wrong.
Sometimes it makes obvious, simple mistakes; other times, it will claim something is true when it is not.
These cases are easy to see, and correct, and AI will admit the mistake and go on.
But how do you tell whether there are substantive mistakes or errors when you ask it to do all this voluminous data processing?
Mark
