AI Weirdness: the strange side of machine learning

Tag: gpt-2

Total 38 Posts
Rhyming is hard

Rhyming is hard

Although many people have generated AI poetry and lyrics, you’ll notice that they generally don’t rhyme. That’s because generating a decent rhyme is super hard. You can get an inkling of this if you prompt the neural net GPT-2 with rhymes to complete. It will fail almost
Escape rooms

Escape rooms

Now that so many of us are spending so much time in our own homes, the thought of being stuck in a room is very much on our minds. If you’ve ever done an escape room, you know that you can pay to be stuck in a room -
An AI's idea of a prank

An AI's idea of a prank

If you’re a longtime reader of my blog, you’ll know that AIs are consistently terrible at humor. Whether it’s a very simple neural net learning to tell knock-knock jokes, or a more-sophisticated algorithm trained on tens of thousands of short jokes, they tend to get the rhythm
How to change a giraffe into a bird

How to change a giraffe into a bird

When people study the ways that AI generates and detects images, they have to use something as a test problem. Delightfully, a recent paper decided to train an AI to transform pictures of giraffes into pictures of birds. Why? Apparently, just to see if they could do it. And it’
This neural net knows what smells good

This neural net knows what smells good

Last week I trained a neural net on 1000 candles, and soon it was producing scents like Frozen Styrofoam, Volcanoes Comfort, Lemon Lime Decay, and Friendly Wetsuit. We have to just imagine what these would smell like (or in some cases, try not to imagine). But what if the neural
Smells like the future

Smells like the future

“What would a candle inspired by your book smell like?” This was a question that was going around the other day, and most authors got to answer with something nice. My book, however… let’s just say it features a neural net-generated recipe called “Basic Clam Frosting”. But what kind

(Untitled)

lingthusiasm: Lingthusiasm Episode 40: Making machines learn language - Interview with Janelle ShaneIf you feed a computer enough ice cream flavours or pictures annotated with whether they contain giraffes, the hope is that the computer may eventually learn how to do these things for itself: to generate new potential ice
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