Show HN: This AI Does Not Exist (thisaidoesnotexist.com)

it would be hypermeta levels of satisfying if indeed these results are maybe 500 or so human-written precanned responses.

Clicked into it, didn't read the description, and got an AI-based project that could perfectly hedge my fixed income portfolio. I won't lie, got a bit excited and then I realized what site I'd clicked on.

Very nifty! Is this your site?

As someone who has trained around 60 GPT-2s, this is damn impressive work. It’s very hard to get consistent code quality when the training corpus is so small (as this one undoubtedly was).

https://thisaidoesnotexist.com/model/MozartNet/JTdCJTIyZGVmb...

The url scheme is interesting. I wonder what it base64 decodes to. If I were at a computer I’d check. It might be a complete representation of the inputs to the model, which is then cached. Which implies you might be able to fiddle with it to get specific outputs.

    {
       "defn":"MozartNet is a sequence to sequence deep neural network trained on the music of Wolfgang Amadeus Mozart. It is used to generate music for a piano transcription in a completely unsupervised fashion. MozartNet is an instance of a more general family of networks known as 'autoregressive networks', and is trained on a synthetic dataset of about 1 million short sequences of piano notes. The network is a two layer LSTM and is trained with L2 regularization to minimize the total number of parameters. MozartNet is one of the most widely used and best-performing autoregressive networks, and is often cited as an example of using a neural network for the purpose of learning the structure of music.",
       "usage":"from nmt import \*\nnet = Model()\nnet.load_weights(\"/tmp/mozartnet.h5\")\n\n# get the source text\nsequence = net.encode(\"GDAEADBBGEDC\", output_chars=\"p\", max_length=5)\n\n# decode it\nsource_sequence = net.decode(sequence)\n\n# print it\nprint(source_sequence.as_list())"
    }

My favorite name of the dozen or so projects i saw: SpotifAI

Are these procedural or is there a list of pre-generated "AI"s next goes thru?

I got this as my third which seemed either prophetic or deterministic.

HackerNewsReplyGuy:

>from hackernews_response_guy import HackerNewsReplyGuy

>model = HackerNewsReplyGuy(1)

>model.predict_comments(comments, [u'comment_id'])

You know now that I made friends with a homeless beggar I have no trouble making friends with a bot. Why not? Has some humanity breathed into them, like a book for instance, a book can be your friend. A kind old family friend who let me stay with her told me a long time ago just that when talking about a chest full of books, these books are my friends.

Very cool!

https://github.com/thesephist/modelexicon

Looks like it’s powered by GPT-J. My understanding is that GPT-J has comparable performance to OpenAI’s Curie model on many tasks (their second-best variant of GPT-3) but it’s an openly available model that you can run yourself if you have the resources.

I got:

> SpotifAI is a system that uses deep learning to automatically create playlists from user-submitted playlists. Its algorithm has been trained on millions of playlists from Spotify.

Which is pretty cool sounding and has a cool name.

Skynet is an end-to-end speech recognition model. It is based on the Inception-v3 architecture and the Speech Transformer (Sphin) speech model. Its speech model was trained on a dataset of 30,000 hours of human speech, as well as speech recordings from the Switchboard corpus and the Fisher corpus. The model achieves 99.34% WER on the Switchboard-1.1 test set.

It asked me for a model, so I naturally thought of female models and cars, decided upon "911" and get: "911 is a dataset for 9/11 related tasks, including predicting the location of the first plane crash, the location of the second plane crash, and the location of the towers."

Thats not what I had in mind so it still needs a bit of work I think or at least the questions do. ;-)

On FF, I get a blank page. Given the domain name, I thought it was a joke until I came here and read the comments.

  Uncaught DOMException: An exception was thrown bundle.js:439
    _ https://thisaidoesnotexist.com/js/bundle.js:439
    _ https://thisaidoesnotexist.com/js/bundle.js:441
    __oak_module_import https://thisaidoesnotexist.com/js/bundle.js:13
    <anonymous> https://thisaidoesnotexist.com/js/bundle.js:450

Jesus is a fast and scalable language model trained on the Jesus dataset, which consists of over 4.7 billion words from the Bible. Jesus demonstrates state-of-the-art performance on several language modeling and conversational tasks.

> AutoProfit is a reinforcement learning model that trains itself on a simulated trading environment. It is able to trade on its own and generate its own trading signals, outperforming a portfolio of human traders and making the most out of available information. AutoProfit is a model for trading stock, cryptocurrencies, and commodities in real time, generating trading strategies for itself. It uses an iterative training process, and has been tested on over 50 trading strategies.

Cool.

i love this

Got a 504 gateway timeout trying to generate one, but that's probably to be expected when you're on the top of HN.

Got a good laugh from this one.

> GPT-NSFW is an N-gram model that was created using the same WebText dataset as GPT-2, but that is designed to generate NSFW text. The NSFW version of GPT-2 has shown great promise in generating NSFW text.

https://thisaidoesnotexist.com/model/GPT-NSFW/JTdCJTIyZGVmbi...

Hey Linus, two questions:

Is it tricky or frustrating being named Linus and being in software?

Do you get asked this a lot?

It's cool project!

If we posted one of these a day on HN - I wonder how long before anyone noticed they weren't real...

This one gave me a good chuckle.

>TinderSwindler is a system developed by Facebook to analyze mobile phone location data in order to catch potential cheaters. TinderSwindler leverages Al technology to automatically identify relationships between people based on their movements over a period of time. TinderSwindler was released by Facebook in January 2018.

Some funny responses i've got:

Portal 3 spoilers:

GLaDOS is a character voiced by Ellen McLain that serves as the main antagonist of the Portal franchise. GLaDOS was originally a self-aware A.I. in the form of a computer that was built as a personality core for the Aperture Science Laboratories' mainframe. She is the main antagonist in the first game, Portal, and serves as a narrator for the second game, Portal 2. She is also the main antagonist of the third game, Portal 3, where she becomes the leader of the Aperture Science Resistance.

A semi-successful attempt at recursion:

thisaidoesnotexist is a tool that is able to generate fake images with high resemblance to real ones. This is achieved by using the GAN to generate the image, and then replacing the generated image with the real one.

Incomprehensible text followed by broken code. Must the most realistic AI fake generator thing I have witnessed.