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The influence of Le chevalier délibéré on Late Medieval Dutch literature

Le chevalier délibéré by Olivier de la Marche is now largely forgotten. Immediately after its publication in 1483, however, it enjoyed great success. The text was disseminated throughout Europe and was held in particularly high esteem in the French-speaking parts of the Netherlands. Such was its popularity in this region that it came to have a profound effect on Dutch literature. The text was translated twice into Dutch, by Pieter Willemsz in 1492, as Vanden ridder welghemoet, and by Jan Pertcheval a year later as Den camp vander doot. Two very early editions offtie original French text were also published in the Netherlands. Moreover, wood cuts from the book were used in other volumes, and the first Spanish translations of Le chevalier délibéré were printed in Antwerp. Several Dutch authors were also directly inspired by this French poem, using it as the basis of their own work. Jan vaA den Dale and Jan Baptist. Hb,uwaer¥are particularly indebted to de la Marche. These writers were in turn highly successful, even if they have now lapsed into obscurity: Jan van den Dale was held in especially high regard, as his Wre vander doot was reprinted at least five times.

A brand poem: the effect of paid, owned and earned on brandvalues

A brand poem: the effect of paid, owned and earned on brandvalues

What (and I cannot stress this enough) the fuck

A poem about the role screenshots can play in our lives, our minds, our poetry. When does the personal become universal, and when does the digital become lyrical?

Climate futures

This paper introduces and contextualises Climate Futures, an experiment in which AI was repurposed as a ‘co-author’ of climate stories and a co-designer of climate-related images that facilitate reflections on present and future(s) of living with climate change. It converses with histories of writing and computation, including surrealistic ‘algorithmic writing’, recombinatory poems and ‘electronic literature’. At the core lies a reflection about how machine learning’s associative, predictive and regenerative capacities can be employed in playful, critical and contemplative goals. Our goal is not automating writing (as in product-oriented applications of AI). Instead, as poet Charles Hartman argues, ‘the question isn’t exactly whether a poet or a computer writes the poem, but what kinds of collaboration might be interesting’ (1996, p. 5). STS scholars critique labs as future-making sites and machine learning modelling practices and, for example, describe them also as fictions. Building on these critiques and in line with ‘critical technical practice’ (Agre, 1997), we embed our critique of ‘making the future’ in how we employ machine learning to design a tool for looking ahead and telling stories on life with climate change. This has involved engaging with climate narratives and machine learning from the critical and practical perspectives of artistic research. We trained machine learning algorithms (i.e. GPT-2 and AttnGAN) using climate fiction novels (as a dataset of cultural imaginaries of the future). We prompted them to produce new climate fiction stories and images, which we edited to create a tarot-like deck and a story-book, thus also playfully engaging with machine learning’s predictive associations. The tarot deck is designed to facilitate conversations about climate change. How to imagine the future beyond scenarios of resilience and the dystopian? How to aid our transition into different ways of caring for the planet and each other?

A brand poem: how to build brands combining paid, owned and earned media