Mike Lynch

I found out about NaPoGenMo halfway through April, and decided to do something throwaway and quick for it, unlike my last couple of NaNoGenMo efforts, which have taken much more effort than the end results justified.

The third of three posts about the details of my NaNoGenMo 2016 project, Annales 1.

The second of three posts about the details of my NaNoGenMo 2016 project, Annales 1.

The first of three posts about the details of my NaNoGenMo 2016 project, Annales 1.

This was the first time I submitted a NaNoGenMo entry which aimed at being readable, in contrast to my previous efforts, Everywhere Dense and Neuralgae, which were really abstract.

My entry for National Novel Generating Month 2016 is a procedurally-generated chronology of rulers, courtiers and tribes, using a nonsense vocabulary generated with the neural net which drives my twitter bot, @GLOSSATORY.

I went off Nate Silver a bit when I read The Signal and the Noise because I thought he was a bit scanty in explaining Bayesian analysis but mostly because he goes on about how true Bayesians should be prepared to back up their assessments of probabilities…

I've been playing around with the neural net behind @GLOSSATORY as part of this year's NaNoGenMo: here's a preview.

Gedankōans - a Twitter sequence from a few years ago which I finally got around to publishing as a collection.

I've got two short articles in MATERIALITY: FAKE, now online at Pinknantucket Press: An uncanny valley in reverse is a brief illustrated attempt to explain the computational underpinning of deepdreams for a lay audience.

If you don’t like the state (read: if you don’t like paying taxes or welfare) its backing of money will seem monstrous to you.

Being and Time New York: Harper & Row, 1962 Martin Heidegger (tr John Macquarrie and Edward Robinson) I did that thing again, where my mood disorder kicks in and I read an interminably long and difficult work of philosophy.

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.

MWHALE IN THE WHALE AND BERED OF THE WHALE IN THE WHALE.

I've updated the algorithm behind neuralgae.

In 2013 I wrote and published an eighty-one-verse poem in Spenserian stanzas on FSVO.

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.

A bot which takes a random Wikipedia page title and turns it into the title of an imaginary blues track.

I've made my first Twitter bot.

@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.

The fourth and last in a series of posts about how we think about coding and functional programming.

The third in a series of posts about how we think about coding and functional programming.

For NaNoGenMo (national novel generation month) 2015, I wrote some Python which generates a series of loosely-coupled deepdream images, and adds eight-line surrealist 'poetry' to them based on the image categories used to draw them.

If you think the title of this post is funny, and you have anything to do with science communication, we really need to talk.

The second in a series of posts about how we think about coding and functional programming.

Here are the thousand image categories in the ImageNet Challenge data visualisation context, rendered onto a webcam photo of me using the deepdraw technique.

Here are visualisations of the 205 scene categories in the MIT Places Database using a variant of the same technique used to generate the thousand faces of Caffenet.

Hegel and the Shadow of Dialectical Materialism London: Verso Books, 2012 Slavoj Žižek I've had problems with depression for my whole adult life: I am much better at managing it than when I was younger, but one of the bad habits which I find it hard to sh…

The Language of Science from the Fall of Latin to the Rise of English.

This is the first in a series of posts about the way we think about programming, the influence these ideas have on how we write code and what languages we choose, and why I like the functional programming paradigm in general and Haskell in particular.

Here are several sequences which ran on FSVO earlier this year.

The chronicles of Louchébem, an ancient city shrouded in myth, legend and metafiction, which started out as a series of short vignettes on Nannygoat Hill in 2010.

The Deepdreams algorithm takes a deep neural net trained for image-recognition and uses a forced-feedback loop to induce a kind of machine-pareidolia or hallucination, with beautiful and often nightmarish results: The original algorithm picks details from…

n01440764 tench, Tinca tinca n01496331 electric ray, crampfish, numbfish, torpedo n01530575 brambling, Fringilla montifringilla n01532829 house finch, linnet, Carpodacus mexicanus n01534433 junco, snowbird n01537544 indigo bunting, indigo finch, indigo bi…

"Everywhere Dense is a novel generated by the principle of recursive acronym expansion, in which this sentence is repeatedly interpolated with random words."

I wrote a bluffer's guide to Matthew Barney's insane five-part epic art film after seeing it at the Art Gallery of New South Wales.

I love the proper names of stars, most of which are severely corrupted versions of Arabic originals, and one of my favourite books is R H Allen's Star Names - Their Lore and Meaning.

I finally got around to getting a domain name.