Writing is thinking. The writing process is the most neglected part of our job. We spend millions on fancy equipment and uncountable hours on training for using this or that toolkit. Yet we assume the BA-level academic writing course we once followed is sufficient; the rest we’ll just learn on the job and hopefully soon we’ll automate away with LLMs. It is all formulaic anyway.

I have been blogging at The Ideophone since 2007, and not all of it has been as ephemeral as my PhD promotor once feared. My short post documenting the etymology of Zotero is apparently the only scientific documentation of where Zotero’s name comes from; it has served as a source in Wikipedia for ages and has received over 15 scholarly citations.

The last time I blindly accepted an invitation to speak was in 2012, when I was invited to an exclusive round table on the future of linguistics at a renowned research institute. As a fresh postdoc I was honoured and bedazzled. When the programme was circulated, I got a friendly email from a colleague asking me how I’d ended up there, and whether I thought the future of linguistics was to be all male.

One of the benefits of today’s preprint culture is that it is possible to provide constructive critique of pending work before it is out, thereby enabling a rapid cycle of revision before things are committed to print. I have myself benefited from comments on preprints, and have acknowledged such public pre-publication reviews in several of my papers. The below remarks are shared in that spirit.

Will synthetic text generators usher in a new age of creative thinking? The remarkable fluency of large language models may make them interesting tools for rapidly exploring semantic and stylistic spaces, yet the deceptive ease with which they generate output also provides countless new ways of appropriating ideas and erasing authorship.

We don’t generally see PhD dissertations as an exciting genre to read, and that is wholly our loss. As the publishing landscape of academia is fast being homogenised, the thesis is one of the last places where we have a chance to see the unalloyed brilliance of up and coming researchers. Let me show you using three examples of remarkable theses I have come across in the past years.

Sketches, visualizations and other forms of externalizing cognition play a prominent role in the work of just about any scientist. It’s why we love using blackboards, whiteboards, notebooks and scraps of paper. Many folks who had the privilege of working the late Pieter Muysken fondly remember his habit of grabbing any old piece of paper that came to hand, scribbling while talking, then handing it over to you.

Over two years ago I wrote about the unstoppable tide of uninformation that follows the rise of large language models. With ChatGPT and other models bringing large-scale text generation to the masses, I want to register a dystopian prediction.

The construction of gothic cathedrals like Chartres was governed not by blueprints but by “talk, tradition, and templates” — at least that is what Turnbull has compellingly argued. When you come across such a neatly alliterative triad, there are two ways you can go. You can adopt the terms in an unexamined way and rely on their alliterative power.

DALL-E, a new image generation system by OpenAI, does impressive visualizations of biased datasets. I like how the first example that OpenAI used to present DALL-E to the world is a meme-like koala dunking a baseball leading into an array of old white men — representing at one blow the past and future of representation and generation.