[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)