"Writing is thinking" 👈 Excellent! 📝 https:// doi.org/10.1038/s44222-025-003 23-4
cohere reasoning
| Source: Mastodon | Original article
A new essay in *Nature Reviews Bioengineering* argues that scientific writing is more than a vehicle for pre‑formed ideas – it is a cognitive act that weaves memory, reasoning and meaning into a single, manipulable artifact. The authors, drawing on rhetorical theory and cognitive psychology, contend that the act of putting thoughts on paper (or screen) externalises mental operations, allowing researchers to test, refine and even generate concepts that would remain hidden in internal monologue. Their central claim – “writing is thinking” – is framed as a counterpoint to the growing reliance on large‑language models (LLMs) to draft papers, summarize data and even suggest hypotheses.
The essay matters because it reframes the debate over AI‑assisted authorship. If writing itself is a form of cognition, delegating it wholesale to LLMs could erode a core engine of scientific discovery, potentially flattening the iterative, error‑correcting loops that drive breakthroughs. The authors warn that over‑automation may dilute critical thinking, obscure the provenance of ideas and complicate attribution in an era already grappling with ghost‑authorship and data‑fabrication scandals. Their analysis also highlights how rhetorical structures – metaphors, analogies and narrative arcs – shape how findings are interpreted, a nuance that current models struggle to reproduce authentically.
Looking ahead, the piece suggests three watch‑points. First, journals may begin to require disclosures about AI contributions, prompting new standards for authorship credit. Second, research institutions could invest in training that reinforces writing as a thinking skill, counterbalancing the efficiency lure of generative tools. Third, developers of scientific LLMs are likely to incorporate “cognitive scaffolding” features that mimic the iterative drafting process rather than simply spitting out finished text. The conversation sparked by this essay will shape how the research community balances human insight with machine speed in the next wave of scholarly communication.
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