Artificial Intelligence Will Do What We Ask. That’s a Problem.

He’s referring to my 15 years of experience building state of the art, large scale machine learning technology.
If that is indeed the case, can you please provide details/particulars thereof.
Will understand if you refuse to do so (if you are a BS'er).
 
If that is indeed the case, can you please provide details/particulars thereof.
Will understand if you refuse to do so (if you are a BS'er).

I’ve worked on everything from the software, to the hardware, to the math, to the application of ML (primarily trading) over the last 15 years. If you want my resume, you’re not going to get it.
 
Hope for your sake that you did not pay to much for that "education".
Ask for a refund.
Nah, its served me pretty well actually over the last few decades.... I would be pretty confident in saying that my education is pretty rock solid when it comes to reality, yours on the other hand is not so much.
 
I’ve worked on everything from the software, to the hardware, to the math, to the application of ML (primarily trading) over the last 15 years. If you want my resume, you’re not going to get it.
I understand.
 
Yeah, its pretty obvious you don't but hey live and let live and all those things.
 
Nah, its served me pretty well actually over the last few decades.... I would be pretty confident in saying that my education is pretty rock solid when it comes to reality, yours on the other hand is not so much.
Lets just say that your "educated guesses" is somewhat less than rock solid reasoning.
 
Lets just say that your "educated guesses" is somewhat less than rock solid reasoning.

Your rock solid reasoning, or the real rock solid reasoning.

Hint, your "rock solid reasoning" leaves more than pretty much everything to be desired
 
I herewith sincerely apologise for not being wrong.
 
The danger of having artificially intelligent machines do our bidding is that we might not be careful enough about what we wish for. The lines of code that animate these machines will inevitably lack nuance, forget to spell out caveats, and end up giving AI systems goals and incentives that don’t align with our true preferences.

 
The roots of Russell’s thinking went back much further. He has studied AI since his school days in London in the 1970s, when he programmed tic-tac-toe and chess-playing algorithms on a nearby college’s computer. Later, after moving to the AI-friendly Bay Area, he began theorizing about rational decision-making. He soon concluded that it’s impossible. Humans aren’t even remotely rational, because it’s not computationally feasible to be:
We can’t possibly calculate which action at any given moment will lead to the best outcome trillions of actions later in our long-term future; neither can an AI. Russell theorized that our decision-making is hierarchical — we crudely approximate rationality by pursuing vague long-term goals via medium-term goals while giving the most attention to our immediate circumstances. Robotic agents would need to do something similar, he thought, or at the very least understand how we operate.
 
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