Wherein I Find Myself Writing About Writing
Most everyone finds writing to be challenging (especially those who say they enjoy it). This is because writing is an intentional, thoughtful act. This is as it should be, but “AI” has recently exacerbated the misbelief that writing is simply an output. In fact, it's a creative process that has merit in and of itself.
StoryScope: Investigating idiosyncrasies in AI fiction
As AI-generated fiction becomes increasingly prevalent, questions of authorship and originality are becoming central to how written work is evaluated. While most existing work in this space...
How to write well with AI
Why people who pledge never to write with AI are telling on themselves
From bench to bot: Why AI-powered writing may not deliver on its promise
Efficiency isn’t everything. The cognitive work of struggling with prose may be a crucial part of what drives scientific progress.
Writing With AI Is Harder Than You Think
It takes rigor, judgment, and willingness to be told your work isn't good enough.
The Impact of Artificial Intelligence on Human Thought
This research paper examines, from a multidimensional perspective (cognitive, social, ethical, and philosophical), how AI is transforming human thought. It highlights a cognitive offloading effect: the externalization of mental functions to AI can reduce intellectual engagement and weaken critical thinking. On the social level, algorithmic personalization creates filter bubbles that limit the diversity of opinions and can lead to the homogenization of thought and polarization. This research also describes the mechanisms of algorithmic manipulation (exploitation of cognitive biases, automated disinformation, etc.) that amplify AI's power of influence. Finally, the question of potential artificial consciousness is discussed, along with its ethical implications. The report as a whole underscores the risks that AI poses to human intellectual autonomy and creativity, while proposing avenues (education, transparency, governance) to align AI development with the interests of humanity.
Thinking is not only writing
Generative artificial intelligence (AI) raises valid concerns about the loss of cognitive work embedded in scholarly writing. However, universally dismissing AI-assisted drafting mistakenly conflates writing with thinking itself and reinforces existing inequities in who can transform their ideas into polished text. Academic authorship should depend more on the depth and creativity of human intellectual engagement than on the medium through which first drafts are produced.
Our AI Philosophy | Typefully
Social media runs on an implicit contract: I write something, you follow me, you read it, and you trust it came from a human mind. AI writing is curr…
I pulled ~90,000 Reddit posts about what makes writing "sound like AI" to determine the biggest AI-slop giveaways (Part 2)
674 votes, 228 comments. The majority of people can instantly tell when writing is generated by AI. For those who don't intend to get into the weeds…
Pluralistic: Copyright won't solve creators' Generative AI problem (09 Feb 2023)
The media spectacle of generative AI (in which AI companies' breathless claims of their software's sorcerous powers are endlessly repeated) has understandably alarmed many creative workers, a group that's already traumatized by extractive abuse by media and tech companies.
How easy is it to spot AI writing?
With AI writing becoming increasingly commonplace, how can we spot it and what difference does it make?
I knew my writing students were using AI. Their confessions led to a powerful teaching moment | Micah Nathan
The problem wasn’t just the perfectly polished, yet mediocre prose. It’s what’s lost when we surrender the struggle to translate thought into words
God Damn AI is making me dumb
It's so god damn tempting to use AI to write. Whether it is articles, code, or documents. I feel like using AI is diminishing my ability to write myself. ...
Towards Critical Artificial Intelligence Literacies
Critical Artificial Intelligence Literacies (CAILs) is the collection of ways of thinking about and relating to so-called artificial intelligence (AI) that rejects dominant frames presented by the technology industry, by naive computationalism, and by dehumanising ideologies. Instead, CAILs centre human cognition and uphold the integrity of academic research and education. We present a selection of CAILs across research and education, which we analyse into the following non-orthogonal dimensions: conceptual clarity, critical thinking, decoloniality, respecting expertise, and slow science. Finally, we note how we see the present with and without a wider adoption of CAILs — a fundamental aspect is the assertion that AI cannot be allowed to drive change, even positive change, in education or research. Instead cultivation of and adherence to shared values and goals must guide us. Ultimately, CAILs minimally ask us to contemplate how we as academics can stop AI companies from wielding so much power.
trying to articulate what i hate about "AI writing"
dan
so it's like if we imagine a normal distribution but then we set super intense resonance at exactly the middle point. that's how it feels to be surrounded by AI writing every day. it's average *without* the normal distribution — just extreme dose of narrow average. this is what pushes my buttons
I think it’s telling that people very interested in AI (like Eugene and myself) still have no interest in using it as a proxy for human communication. “Being a good writer” is not the same thing as having social agency, and making the models even better at writing won’t change that.
Eugene Vinitsky 🍒
When you deploy heavily LLM text, you currently have no way to prove that you actually read it and therefore cannot convince me to read it
