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Monday assorted links

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Coverage diverges in that all entries from Marginal Revolution focus on economic and technological themes without addressing any current events or controversies. There is no representation from left-leaning or centrist outlets, which…
Tyler Cowen· ·2 min read · 0 reactions · 0 comments · 34 views
Monday assorted links
TL;DR · WeSearch summary

The article presents a collection of assorted links curated by Tyler Cowen. It includes topics such as AI in coding, predictions for Singapore, and a preview of a Korean movie. Each link offers insights into various subjects relevant to economists and broader audiences.

Key facts
About this source

Marginal Revolution files mainly under finance. We currently carry 105 of its stories.

Original article
Marginal Revolution · Tyler Cowen
Read full at Marginal Revolution →

Story provenance

Source · retrieval · rights · ranking — open for full record
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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 publisherMarginal Revolution
Canonical URLhttps://marginalrevolution.com/marginalrevolution/2026/05/monday-assorted-links-560.html?utm_source=rss&utm_medium=rss&utm_campaign=monday-assorted-links-560
Publication timeMon, 18 May 2026 17:49:04 +0000
Retrieval time2026-05-18T17:54:56.691Z
Last seen2026-05-18T17:54:56.691Z
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.
Clusterj_a1ZpMhEJbd · 4 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

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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

Monday assorted links by Tyler Cowen May 18, 2026 at 1:49 pm 1. New newsletter: AI and agentic coding, filtered for economists. 2. Can AI replace Richard Hanania? 3. Predictions for Singapore. 4. Four ways of being seen, one of which is imaginary. 5. HOPE, preview of forthcoming Korean movie. 0 Comments Facebook Twitter RSS Feed print Comments Sort by Top Sort by Recent Sort by Controversial <article class="blog-comment depth-<%= model.depth %>" id="blog-comment-<%= model.id %>" data-user-vote="<%= model.user_vote %>" data-vote-count="<%= model.vote_count %>" data-vote-total="<%= model.vote_total %>" data-updoots="<%= model.updoots %>" data-downboops="<%= model.downboops %>"> <div class="byline"> <div class="comment-meta"> <h3 class="comment-author"><%= model.author %></h3> <time…

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

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