Mike, it's not cheating. It's called "research" :-) -- Matt Mahoney, [email protected]
--- On Tue, 1/13/09, Mike Tintner <[email protected]> wrote: > From: Mike Tintner <[email protected]> > Subject: Re: [agi] [WAS The Smushaby] The Logic of Creativity > To: [email protected] > Date: Tuesday, January 13, 2009, 7:38 PM > Matt, > > "Well little Matt, as your class teacher, in one sense > this is quite clever of you. But you see, little Matt, when > I gave you and the class that exercise, the idea was for you > to show me what *you* could do - what you could produce from > your own brain. I didn't mean you to copy someone > else's flying house from a textbook. That's cheating > Matt, - getting someone else to do the work for you - and > we don't like cheats do we? So perhaps you can go away > and draw a flying house all by yourself - a superduper one > with lots of fabbo new bits that no one has ever drawn > before, and all kinds of wonderful bells and whistles, that > will be ten times better than that silly old foto. I know > you can Matt, I have faith in you. And I know if you really, > really try, you can understand the difference between > creating your own drawing, and copying someone else's. > Because, well frankly, Matt, every time I give you an > exercise - ask you to write an essay, or tell me a story in > your own words - you always, always copy from other people, > even if you try to disguise it by copying from several > people. Now that's not fair, is it Matt? That's not > the American way. You have to get over this lack of > confidence in yourself. " > > Matt/Mike Tintner <[email protected]> wrote: > > > >> Oh and just to answer Matt - if you want to keep > doing > >> narrow AI, like everyone else, then he's right > - > >> don't worry about it. Pretend it doesn't > exist. > >> Compress things :). > > > > Now, Mike, it is actually a simple problem. > > > > 1. Collect about 10^8 random photos (about what we see > in a lifetime). > > > > 2. Label all the ones of houses, and all the ones of > things flying. > > > > 3. Train an image recognition system (a hierarchical > neural network, probably 3-5 layers, 10^7 neurons, 10^11 > connections) to detect these two features. You'll need > about 10^19 CPU operations, or about a month on a 1000 CPU > cluster. > > > > 4. Invert the network by iteratively drawing images > that activate these two features and work down the > hierarchy. (Should be faster than step 3). When you are > done, you will have a picture of a flying house. > > > > Let me know if you have any trouble implementing this. > > > > And BTW the first 2 steps are done. > > > http://images.google.com/images?q=flying+house&um=1&ie=UTF-8&sa=X&oi=image_result_group&resnum=5&ct=title > > > > -- Matt Mahoney, [email protected] > > > > > > > > ------------------------------------------- > > agi > > Archives: > https://www.listbox.com/member/archive/303/=now > > RSS Feed: > https://www.listbox.com/member/archive/rss/303/ > > Modify Your Subscription: > https://www.listbox.com/member/?&; > > Powered by Listbox: http://www.listbox.com > > > > > > > ------------------------------------------- > agi > Archives: https://www.listbox.com/member/archive/303/=now > RSS Feed: https://www.listbox.com/member/archive/rss/303/ > Modify Your Subscription: > https://www.listbox.com/member/?&; > Powered by Listbox: http://www.listbox.com ------------------------------------------- agi Archives: https://www.listbox.com/member/archive/303/=now RSS Feed: https://www.listbox.com/member/archive/rss/303/ Modify Your Subscription: https://www.listbox.com/member/?member_id=8660244&id_secret=126863270-d7b0b0 Powered by Listbox: http://www.listbox.com
