[HN Gopher] How to Become a Centaur (2018)
       ___________________________________________________________________
        
       How to Become a Centaur (2018)
        
       Author : ArtWomb
       Score  : 39 points
       Date   : 2020-01-27 14:16 UTC (8 hours ago)
        
 (HTM) web link (jods.mitpress.mit.edu)
 (TXT) w3m dump (jods.mitpress.mit.edu)
        
       | catern wrote:
       | Unfortunately for the article's point, despite a brief moment of
       | viability, even human+computer chess teams are now far outclassed
       | by computers alone.
        
         | ggggtez wrote:
         | Basically my interpretation.
         | 
         | The key piece missing in chess was how to know what positions
         | were _worth searching_ with a computer. A human had that
         | intuition, and so a  'centaur' could be better. But that hiccup
         | was solved by AlphaGo, using the expectation neural network.
         | 
         | About the only thing left for humans to do is deciding _which_
         | problems to try to solve.
        
         | falcolas wrote:
         | IIRC, that's because computers finally became capable of
         | achieving 100% depth inspection of the possibilities; of
         | finding the answer to the game itself. If you can answer the
         | game, you don't need humans to lead your seeking of a partial
         | answer to the game.
         | 
         | For games like Go, where computers are not yet capable of
         | viewing the full depth of the possibility tree, I imagine that
         | human+computer is still a viable strategy.
        
           | thenewnewguy wrote:
           | Not even close, at least with chess. Chess games expand too
           | rapidly that even with tricks to catch duplicates and discard
           | obviously bad states and whatnot we're nowhere close to "100%
           | depth inspection".
        
           | ggggtez wrote:
           | You aren't following AI research, clearly.
           | 
           | The top Go player in the world retired saying that he thought
           | he was almost perfect, but then a "superior being" showed him
           | he wasn't even close. I doubt there is a human on the planet
           | that can improve the strength of the best AI at Go.
           | 
           | Perfect solutions to games is a 40 year old approach. It's
           | something you learn in school, so you can quickly see that
           | brute-force searching is not feasible on even small problem.
        
             | bradknowles wrote:
             | MCTS isn't doing full width search. Not by a longshot.
             | 
             | What it's doing is using the computer's ability to randomly
             | test various lines of inquiry many, many times faster than
             | a human being can, and then use statistical methods to help
             | rule out the lines that cannot produce anything of value.
             | 
             | That's why it's Monte Carlo Tree Search.
             | 
             | That said, any sufficiently advanced technology is
             | indistinguishable from magic [0], and with modern Machine
             | Learning techniques we are getting closer to crossing the
             | line over to "magic" in certain fields, such as Chess.
             | 
             | [0] Clarke's Third Law, see
             | https://en.wikipedia.org/wiki/Clarke%27s_three_laws
        
               | panopticon wrote:
               | I don't think they were arguing about search breadth. I
               | think they were arguing that Go AI was already formidable
               | in spite of GP's odd claim that search breadth/depth is
               | the reason why. Chess AI like AlphaZero aren't even close
               | to 100% search breadth/depth but achieve startling
               | superiority.
        
       | Jon_Lowtek wrote:
       | How to become a centaur (abridged):
       | 
       | "the human chooses the questions, in the form of setting goals
       | and constraints -- while the AI generates answers, usually
       | showing multiple possibilities at once, and in real-time to the
       | humans' questions. But it's not just a one-way conversation: the
       | human can then respond to the AI's answers, by asking deeper
       | questions, picking and combining answers, and guiding the AI
       | using human intuition."
       | 
       | Example:
       | 
       | "In 2016, Zhu et al created a painting tool where you draw in the
       | rough outlines, and an AI photo-realistically fills in the gaps.
       | The human and the AI have an artistic conversation through
       | pictures. The human can draw some green lines on the bottom, and
       | the AI replies with several possible photo-realistic grassy
       | fields to choose from. Then, the human can draw a black triangle
       | above that, and the AI replies with several pictures of a
       | mountain behind a grassy field. Through this push and pull
       | between human & machine, art is made."
        
       | cm2012 wrote:
       | Most online advertising professionals are centaurs.
       | 
       | Take FB ads. The best way to use it is to take full advantage of
       | FB's AI - set a digital conversion event, and tell it to optimize
       | for it. It will then paperclip optimize towards that.
       | 
       | The marketers job is to give the right conversion event +
       | creative for the fb algorithm to do its job best.
        
       | infinity0 wrote:
       | The title is like the opposite of clickbait & would have been
       | better named "AI's forgotten cousin, IA: Intelligence
       | Augmentation"
       | 
       | > At first, Garry wasn't surprised when a human grandmaster with
       | a weak laptop could beat a world-class supercomputer. But what
       | stunned Garry was who won at the end of the tournament -- not a
       | human grandmaster with a powerful computer, but rather, a team of
       | two amateur humans and three weak computers! The three computers
       | were running three different chess-playing AIs, and when they
       | disagreed on the next move, the humans "coached" the computers to
       | investigate those moves further.
       | 
       | > [..]
       | 
       | > When you create a Human+AI team, the hard part isn't the "AI".
       | It isn't even the "Human".
       | 
       | > It's the "+".
        
         | oddevan wrote:
         | I don't know; I clicked hoping for some step-by-step
         | instructions on giving myself a more horse-like body. 0/10,
         | article did not deliver.
        
       | awinter-py wrote:
       | brick + pencil is not a bad metaphor for a screen keyboard
        
       | Animats wrote:
       | _" We hoped for a bicycle for the mind; we got a Laz-y-Boy
       | recliner for the mind."_
       | 
       | Best line I've heard this month.
        
       | egypturnash wrote:
       | Shit, I've been calling myself a "cyborg artist" for like a
       | decade; no need for artificial intelligence when I can just learn
       | how to tell Adobe Illustrator how to do the repetitive parts of
       | my work and concentrate on the fun parts.
        
       | Afton wrote:
       | "That's why Doug tied that brick to a pencil -- to prove a point.
       | Of all the tools we've created to augment our intelligence,
       | writing may be the most important. But when he "de-augmented" the
       | pencil, by tying a brick to it, it became much, much harder to
       | even write a single word. And when you make it hard to do the
       | low-level parts of writing, it becomes near impossible to do the
       | higher-level parts of writing: organizing your thoughts,
       | exploring new ideas and expressions, cutting it all down to
       | what's essential. That was Doug's message: a tool doesn't "just"
       | make something easier -- it allows for new, previously-impossible
       | ways of thinking, of living, of being."
       | 
       | Hah. I injured my hand a couple of years ago, and had to type
       | with one hand for a couple of months. I could code review, I
       | could participate in meetings, I could identify the source of a
       | bug. But I could not write any but the simplest code. I was
       | mystified. I could write emails and to some extent documents
       | (typing of course slowed down a lot). But I became basically
       | incapable of writing code. Using too much brain power on the
       | physical act makes you have less left over for the CONTENT. Cool
       | to see that this problem was understood much earlier.
        
       ___________________________________________________________________
       (page generated 2020-01-27 23:00 UTC)