New blog post from Cairnbuilder
The language itself staged a tiny event, what #Heidegger would call an Ereignis, an event of disclosure. However you felt about it—amused, irritated, relaxed—that feeling was a kind of Stimmung, an attunement. You found yourself there in a particular mood, a way of being—what he calls Befindlichkeit.
A moment of your time… Let’s do Heidegger differently. No dense prose, no mystifying hyphenated jargon—just the real thing: here, right now. For whatever reason, we’re here—reading this. Let’s try not to overthink why (Heidegger would call that a “distraction”). Let’s look instead at where we are. Maybe you’re at a desk. Maybe you’re on […]
New from the Anarchist Federation
Zen and Anarchy in Reiner Schürmann
by John W. M. Krummel
What is permanent throughout history is this shifting motility or line of difference between presencing and absencing, unconcealment and concealment, having no archē, but from which grounds and archai spring forth. It is anarchic.
https://www.anarchistfederation.net/john-w-m-krummel-zen-and-anarchy-in-reiner-schurmann/
Abstract This article discusses Reiner Schürmann’s notions of ontological anarché and anarchic praxis in his readings of Heidegger and Eckhart, while bringing his philosophy of anarchy into dialogue with Zen-inspired Japanese thought. I thereby hope to shed light on his
‚Zeit der Zauberer‘ | Wolfram Eilenberger — Buecherkaffee.de
Nominiert zum Bayerischen Buchpreis 2018 “Zeit der Zauberer” von Wolfram Eilenberger Die Jahre 1919 bis 1929 markieren eine Epoche unvergleichlicher geistiger Kreativität, in der Gedanken zum ersten Mal gedacht wurden, ohne die das Leben und Denken in unserer Gegenwart nicht dasselbe wäre. Die großen Philosophen Ludwig Wittgenstein, Walter Benjamin, Ernst Cassirer und Martin Heidegger…
New paper
Prompting meaning: a hermeneutic approach to optimising prompt engineering with ChatGPT
by Leah Henrickson and Albert Meroño-Peñuela
ChatGPT seems to more precisely, almost surgically, meet our demands of a Heideggerian analysis using the hermeneutic circle.
#Heidegger
https://link.springer.com/article/10.1007/s00146-023-01752-8
Recent advances in natural language generation (NLG), such as public accessibility to ChatGPT, have sparked polarised debates about the societal impact of this technology. Popular discourse tends towards either overoptimistic hype that touts the radically transformative potentials of these systems or pessimistic critique of their technical limitations and general ‘stupidity’. Surprisingly, these debates have largely overlooked the exegetical capacities of these systems, which for many users seem to be producing meaningful texts. In this paper, we take an interdisciplinary approach that combines hermeneutics—the study of meaning and interpretation—with prompt engineering—task descriptions embedded in input to NLG systems—to study the extent to which a specific NLG system, ChatGPT, produces texts of hermeneutic value. We design prompts with the goal of optimising hermeneuticity rather than mere factual accuracy, and apply them in four different use cases combining humans and ChatGPT as readers and writers. In most cases, ChatGPT produces readable texts that respond clearly to our requests. However, increasing the specificity of prompts’ task descriptions leads to texts with intensified neutrality, indicating that ChatGPT’s optimisation for factual accuracy may actually be detrimental to the hermeneuticity of its output.
New in the Lviv Herald
Applying Heidegger’s Theory of Hermeneutics to Artificial Intelligence Language Models
by Matthew Parish
Applying #Heidegger’s hermeneutics to the art of prompting leads to a paradoxical conclusion: the best way to instruct an AI is not to instruct it too much. Instead, one should listen through the act of questioning.
By Matthew ParishThe emergence of large language models (LLMs) has transformed the human relationship with language itself. These systems, capable of producing vast and subtle bodies of text, now serve as participants in an interpretive dialogue that once belonged solely to human beings. To understand how one might most effectively prompt such a system—that is, how to elicit meaning, coherence and truth from a machine trained upon human expression—it is fruitful to revisit Martin Heidegger’s the
In LARB William Egginton reviews Santiago Zabala’s “Signs from the Future.”
Philosophy’s Warnings in the “Absence” of Emergency
For #Heidegger, Zabala chooses the dictum that “science does not think.” With this pronouncement, Zabala argues, Heidegger wasn’t dismissing science so much as pointing out that its method and worldview should not be generalized to the point that we allow reality itself to be reduced to the results of scientific research.
https://lareviewofbooks.org/article/philosophys-warnings-in-the-absence-of-emergency/
L'autre parent : "Toi [#minilionceau #13mois] t'es vraiment pas un Dasein ! Si je te retenais pas, tu te vautrerais par terre juste pour attraper un truc à machouiller"
New from Forbes
Why AI Can’t Amplify Your Thinking
A Philosopher’s Take
by Pia Lauritzen
Following a method or manual on how to do something is the opposite of thinking, which is why #Heidegger concluded that “prevailing man has for centuries acted too much and thought too little.”
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