Human creativity in the age of text generators

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. To better understand challenges and opportunities in this domain, we consider the interactional foundations of human creativity. Drawing on documented cases of creative collaboration, we argue that there is a world of a difference between text generation and true grasp — and that the friction and interaction that comes with the latter may be a meaningful element of human collaborative creativity.

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Mindblowing dissertations

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.

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Thinking visually with Remarkable

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. I rarely rave about tools (to each their own, etc.) but here I write about the Remarkable, an e-paper device that has changed my habits for the better in several ways: I’ve been reading more, taking more notes, writing more, and also doodling and sketching more. I would describe it as a distraction-free piece of technology with just the right affordances.

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Talk, tradition, templates: a meta-note on building scientific arguments

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. Or you can go meta and think critically about what it takes to make a point that is as compelling as this in both form and content. See, and I like that second move a lot more.

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Deep learning, image generation, and the rise of bias automation machines

DALL-E, a new image generation system by OpenAI, does impressive visualizations of biased datasets. A widely circulated PR animation features 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. This post jumps from reflections on techbros to the erasure of human labour in Cosmopolitan’s rushed “first AI magazine cover”.

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The Gruner Map: a 1913 map of the Togo Plateau in present-day Ghana

Few historical maps of Ghana’s Volta and Oti regions have been invested with so much political and sociohistorical meaning as Hans Gruner’s 1913 map of the Togo Plateau. Gruner, stationed for over twenty years at Misahöhe in present-day Togo, was a long-time colonial administrator known as much for his ethnographical and historical knowledge of the area as for being a petty tyrant with a powerful grip on ‘his’ district. The map is obscure and hard to find, and I make available some digital versions here.

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Why article-level metrics are better than JIF if you value talent over privilege

There is a considerable halo-effect attached to JIFs, whereby an article that ends up in a high IF journal (whether by sheer brilliance or simply knowing the right editor, or both) is treated, unread, with a level of veneration normally reserved for Wunderkinder. Usually this is done by people totally oblivious to network effects, gatekeeping and institutional biases.

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Linguistic roots of connectionism

A preprint claims that “ideas from theoretical linguistics have played no role in [NLP]”. Outside the confines of Chomskyan linguistics folks have long been working on incorporating storage, retrieval, gating and attention in theories of language, with direct relevance to computational models. The only way to give any content to the claim is by giving the notion “theoretical linguistics” the narrowest conceivable reading.

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A rant about Elsevier Pure

I have other things to do but one day I’ll enlarge on the insidious effects of elevating this cursed little histogram of “Research output per year” as the single most important bit of information about academics at thousands of universities that use Elsevier Pure. Consider this rant my notes for that occasion.

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Team science is slow science

With Times Higher Education writing about citation gaming and hyperprolific authors (surely not unrelated) I hope we can save some of our attention for what Uta Frith and others have called slow science. On that note, consider this: Team science is (often) slow science.

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Large language models and the unstoppable tide of uninformation

Large language models make it entirely trivial to generate endless amounts of seemingly plausible text. The web is about to be engulfed in unending waves of algorithmically tuned AI-generated uninformation. This builds a feedback loop of uninformation feeding on uninformation. Counterintuitively, there was never a better time to be a scholar.

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Concrete reasons to be skeptical about an ‘Abstract Wikipedia’

Wikidata is an ambitious enterprise, but social ontologies are never language-agnostic — so the project risks perpetuating rather than transcending the worldviews most prevalent in current Wikipedia databases, which means broadly speaking global north, Anglo, western, white cishet male worldviews. I think Wikidata is perhaps promising for brute physical facts like the periodic table and biochemistry. But the social facts we live with —from politics to personhood and kinship to currency— are never fully language-independent, so any single ontology will be biased & incomplete.

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Farewell, Mr. Ideophone: William J. Samarin (1926-2020)

I note with sadness that William J. Samarin has passed away in Toronto on January 16, 2020 at the age of 93. An all too short obituary notes that he was “known for his work on the language of religion and on two Central African languages: Sango and Gbeya”. In linguistics, Samarin was of course also known for his extensive work on ideophones, playful and evocative words with sensory meanings.

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What is ‘non-lexical’? Notes on non-lexical vocalisations, II

I have always had a fondness for things considered marginal in linguistics. The tide may be turning for at least some marginalia: work on ideophones is clearly on the rise, and initiatives such as Martina Wiltschko’s Eh lab at UBC and a new nonlexical vocalizations project at Linköping University show there is significant interest in this area. Part II from my notes on a workshop on ‘Ideophones and non-lexical vocalizations’, in which I make a distinction between (iconic) depictions and (indexical) displays, and point out the issue of lexicality is orthogonal to this.

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A variety of vocal depictions: Notes on non-lexical vocalisations, I

I have always had a fondness for things considered marginal in linguistics. The tide may be turning for at least some marginalia: work on ideophones is clearly on the rise, and initiatives such as Martina Wiltschko’s Eh lab at UBC and a new nonlexical vocalizations project at Linköping University show there is significant interest in this area. Part I from my notes on a workshop on ‘Ideophones and non-lexical vocalizations’.

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Slides for a hands-on Zotero workshop

One of the key tasks scientists need to master is how to manage bibliographic information: collecting relevant literature, building a digital library, and handling citations and bibliographies during writing. This tutorial introduces Zotero (www.zotero.org), an easy to use reference management tool made by scholars for scholars. The tutorial covers the basics of using Zotero for collecting, organizing, citing and sharing research. Zotero automates the tasks of managing bibliographic data, storing and renaming PDFs, and formatting references. It also integrates with widely used text processors, and can synchronize your library across devices. There is no more need to search through disorganized file folders full of inscrutably named PDF files, to copy and paste references across documents, or to manually deal with pointless differences in citation styles. Ultimately, the point of using a reference manager is to free more time for real research.

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