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Daniel_Burfoot comments on Open Thread June 2010, Part 3 - Less Wrong
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I am gratified to find that someone else shares this opinion.
A better way to phrase the question might be: what can an average AI prof. do that a physics graduate who can code, can't?
Statistics vs machine learning: FIGHT!
Could you clarify exactly what Hutter has done that has advanced the frontier? I used to be very nearly a "Hutter enthusiast", but I eventually concluded that his entire work is:
"Here's a few general algorithms that are really good, but take way too long to be of any use whatsoever."
Am I missing something? Is there something of his I should read that will open my eyes to the ease of mechanizing intelligence?
This seems like a fairly reasonable description of the work's impact:
"Another theme that I picked up was how central Hutter’s AIXI and my work on the universal intelligence measure has become: Marcus and I were being cited in presentations so often that by the last day many of the speakers were simply using our first names. As usual there were plenty of people who disagree with our approach, however it was clear that our work has become a major landmark in the area."
But why does it get those numerous citations? What real-world, non-academic consequences have resulted from this massive usage of Hutter's intelligence definition, which would distinguish it from a mere mass frenzy?
No time for a long explanation from me - but "universal intelligence" seems important partly since it shows how simple an intelligent agent can be - if you abstract away most of its complexity into a data-compression system. It is just a neat way to break down the problem.
Surely everyone has been doing that from the beginning.