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To Understand AI, Think Like a Dragonfly

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To Understand AI, Think Like a Dragonfly
TL;DR · WeSearch summary

The article discusses the multifaceted nature of AI and the importance of adopting a broader perspective to understand its implications. It introduces the concept of 'dragonfly thinking,' which encourages viewing AI from various angles to capture its complexities. The author maps out nine narratives about AI, highlighting the diverse opinions on its impact on work, power, and information.

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How this story was covered

2 outlets in our directory ran this story, first to last over 7 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.

Centre · 1
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Hacker News (AI / LLM) files mainly under ai. We currently carry 3,312 of its stories.

Original article
NOEMA
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Story provenance

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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.

Record

Original publisherNOEMA
Canonical URLhttps://www.noemamag.com/to-understand-ai-think-like-a-dragonfly/
Publication timeSat, 23 May 2026 15:08:26 +0000
Retrieval time2026-05-23T15:22:27.478Z
Last seen2026-05-23T15:22:27.478Z
Headline sourcePublisher (no WeSearch rewrite)
Excerpt sourcepublisher body
Excerpt methodFirst ~120 words (~800 chars) of extracted publisher body, fair-use limited.
SummaryWeSearch · cerebras-chat (WeSearch summarizer)
Summary source textcontentText
Citation coverageSummary is a WeSearch-generated derivative; primary citation is the original publisher URL.
ClusterSLhWnRSPBkOL · 2 stories
Cluster logicGrouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison.
Ranking reasonStory pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking.
Publisher visitYes — open original
Substitutes article?No — link-out required for full text

Rights status (four layers)

Publisher-declared
No publisher-confirmed rights record for this source yet.
Machine-readable
No source-specific machine-readable restriction detected beyond the public feed.
WeSearch interpretation
WeSearch declared handling (basis: Derived from the published RSS/Atom feed). This is WeSearch policy, not a legal grant on the publisher's behalf.
Unknown
Retrieval and training permissions are not asserted unless the publisher confirms them.

WeSearch handling by dimension

Indexing May the item be indexed (stored, ranked, made findable)? Allowed
Snippet May a short excerpt of the publisher's text be shown? Allowed
AI summary May WeSearch generate its own short summary of the article? Limited
Retrieval / RAG May the content be exposed for third-party retrieval-augmented generation? Not asserted
Model training May the content be used to train AI models? Not asserted
Commercial reuse May the content be reused commercially? Not permitted

Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.

Opening excerpt (first ~120 words) tap to expand

To Understand AI, Think Like A Dragonfly As AI rapidly reshapes our world, narrow, single-view thinking risks mistaking part of the picture for the whole. Satwika Kresna for Noema Magazine EssayTechnology & the Human By Anthea Roberts May 21, 2026 Credits Anthea Roberts is a professor of international law and global governance as well as the founder of the startup Dragonfly Thinking. She is known for her work on contested global debates and the use of AI to augment human thinking in complex decision-making. Depending on your point of view, AI may look like a liberating tool, an existential threat, an environmental disaster — or something else entirely. This is not due to personal bias; it is because the phenomenon itself has more faces than any one position can see.

Excerpt limited to ~120 words for fair-use compliance. The full article is at NOEMA.

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