Kicking off 2019 with a Bit of Bot Humor

First, I would like to thank our customers, partners and associates for making 2018 a great year for Informatics4AI.

Throughout 2018 we discussed how to make bots smarter with natural language processing (NLP), so for a change of pace we thought we’d kick-off 2019 on the lighter side with some bot humor.

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First up, I’ll share a spoof on Bots that I found hilarious.

Keaton Patti claims to have made a bot watch 1,000 hours of Christmas movies and then write it's own script. The script has been edited to protect trademarks.

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Please note, this is humor and was most assuredly NOT WRITTEN BY A BOT. After all, how does a bot watch a movie? (Answer – two ways:  a) use a voice to text API or b) use the closed caption text  - either of which can be fed to the bot).

Last year we discussed some actual bot humor and here is some funny stuff written by a real bot.

Janelle C Shane got the following recipe when she trained a neural network on a database of about 30,000 recipes and then asked the machine to produce a new recipe: 


2 pkg hershey’s can be prepared in unpeeled

1  smaller

½ cup yellow onions you may

1 cup egg; chilled, coursely chopped

½ lb bacon, chopped

1 ½ cup sugar, grated

4 oz square oil

Halve the finely chopped fresh garlic salt and pepper. Break the meat into the pineapples and pat them, scraping the room off the skillet. Add ghees and beer and bring to a boil; cover and simmer, uncovered, on High for 20 to 30 minutes or until the onion thickens.

Bots can definitely be funny, but usually not on purpose. In another experiment,  Janelle C Shane trained a bot on a dataset of jokes. Here are a few jokes the bot generated:

What did the new ants say after a dog?

It was a pirate.


 Why did the monsters change a lightbulb?

And a cow the cough.


What do you call a pastor cross the road?

He take the chicken.


Why was six afraid of seven?

Because he doesn’t have a birthday?


These are hilariously stupid, but not really funny.  Humor and jokes teach us the same lesson about bots that other examples do, which is that unfortunately, bots are not ready to fully replace humans in understanding full-text or responding to conversations. But NLP can help a lot!

Here's to a great 2019. Cheers.