Shameless plug for my other "this x does not exist": This Fucked Up Homer Does Not Exist https://www.thisfuckeduphomerdoesnotexist.com/
Good day, sir!
Like, unpleasantly high art. Way too high art. Art that makes me want to go lie down for a bit.
Yeesh. At least collectors of sports memorabilia have some memorabilia to admire. I can't imagine what value-add there is for "NBA Top Shots" that I can't replicate by backing up a short clip of the play. My solution is more durable, too!
Which would suggest that if gold and copper had the same supply, the demand would be similar and thus the price would be the same. It turns out that's approximately correct— the ratio of gold and copper's prices is similar to the ratio of their supply.
Are you able to provide data comparing the footprint of NFT's to baseball cards, Magic the Gathering cards, paintings, etc?
Do you even know what you're talking about? Or just regurgitating some talking points you heard somewhere?
Frankly, you failed :-)
I'm as sceptic to crypto as almost anyone but this was one of the nicer ideas.
In my free time I make paintings of outputs from GANs/Deepdreams/etc. I've been wanting to paint something based on a model trained on illustrations, but I hadn't seen anyone decent GAN trained on that kind of dataset yet. Thanks for sharing your code, this is really exciting to see!
Tangentially related, one more of my favourite parts of this work an artist that made illustrations of some of the fucked homers: https://twitter.com/turtlesoupy/status/1349541080719478784
Instead, if there were only a few produced in the world, and you owning it give you some kind of status, then you'd have a real potential NFT.
I just bought the NFT for the SF Golden Gate bridge, which surely means I own it.
The fellow who sold it to me said so.
a bar from which the beer and liquor are sold
"that party got a whole lot cooler this week with a n*gerbar refreshment"
a word that does not exist; it was invented, defined and used by a machine learning algorithm.
Someone really ought to make an open source lib to solve this once and for all...
edit: lest i leave this comment totally useless, the chatbot engine “chatscript” has pretty good capabilities for disambiguating word meaning and classifying the meanings into “badword” and “verybadword” - its free/libre software and very high performance.
On one hand it’s the promise of the algorithm that such things will work, on the other hand I doubt it.
“The pair sat foncing so noisily over their hot cups of tea that it drove everyone else from the room”
And by that I mean that the words are good enough that people will use them and lexicographers will have no choice but to add them to dictionaries.
I'm now more interested in how the transitions are made than in the generators per se.
"A Way With Words" would probably love this.
It would be an amazing screensaver, just iterations upon iterations of Fucked Up Homers.
What is the cost of being on the front page?
Somewhat inspired by your homer work :)
lol jk, im just fucking around with the semantics of words here. However I have to admit, this thought about existence or truthfulness of concepts or statements being spitted out by unsentient machines that mix and match infinite "real" patterns, has me quite worried...
Sometimes I find myself reading at a whole discussion thread, and I get the uncomfortable sensation that everything I've been reading is a bunch of bots training each other's models...
Not quite when the concepts are complex enough, all right, it is easy to spot pointless mouthfuls deviations of a main subject being discussed, but what about, for example, the user reviews on an amazon product? Or a youtube's vid comment section? Or whatever shit you consume from the internet.
I'm by no means any expert in the subject, and current state of the art of the Turing test, but I've seen just enough GPT-3 whichcraft to start being totally skeptical about anything I see online.
sorry for the huge rant, but i took a great effort to make it sound like its coming from a real person XD
also, to @turtlesoup: Thank you, that was wonderful. I hope you enjoy this cup of coffee too :-)