I made a subdomain for my Twitter bots, with a page of info and credits about each of them: bots.mikelynch.org

I made a new bot, @GLOSSATORY, by training a recurrent neural network on a very long list of word definitions from WordNet. The results are quite weird and entertaining if you like this sort of thing:

Tweets by @glossatory

I've updated the algorithm behind neuralgae. It's still the same basic principle: render a deepdraw image based on some random categories, feed the results back through the classifier, and then repeat with the new categories. But the draw part of the cycle now uses the weights from the classification stage …

As an exercise in Haskell, I wrote a monad which threads random-number generation state through a context-free grammar, allowing the creation of arbitrary yet valid sentences. This was kind of clever.

Then I used it to generate a series of descriptions of bands of warriors along the lines of Homer's …

@verbquests is a tribute to old-school text adventures, in which it was often difficult to find the correct verb to apply to a noun. It's powered by the Python Natural Language Toolkit, NLTK.

I've made my first Twitter bot. It posts a new image and accompanying text from my Neuralgae NaNoGenMo project, six times a day, modified slightly so that it fits within the character limit. One of my goals with Neuralgae was to generate something which was in some sense readable, and …

A bot which takes a random Wikipedia page title and turns it into the title of an imaginary blues track. The Talking Random Wikipedia Page Title Blues is something I blogged about ages ago, I was inspired to turn it into a bot by my son having become the world's …