Skip to content
Chimera readability score 0.5583 out of 100, reading level.
Wednesday assorted links by Tyler Cowen March 11, 2026 at 11:41 am 1. Spinoza does not like going to the groomer at any price (NYT). He is a wise dog. 2. JFV on MacroMusings. 3. One of the real AI dangers. 4. Using LLMs to identify fiscal shocks. 5. Social media restrictions are indeed leading to further surveillance and taking away internet anonymity.

Facts Only

Tyler Cowen published a blog post titled "Wednesday assorted links" on March 11, 2026, at 11:41 am.
The post includes a reference to a dog named Spinoza who avoids grooming, as reported by the New York Times.
A link is provided to a MacroMusings podcast featuring JFV.
One link addresses a potential danger associated with AI.
Another link discusses the use of large language models (LLMs) to identify fiscal shocks.
The post mentions that social media restrictions are leading to increased surveillance and reduced internet anonymity.
The post is structured as a list of five items.
No additional context or elaboration is provided for the linked items.

Executive Summary

Tyler Cowen's March 11, 2026, post curates a mix of cultural, economic, and technological observations. A dog named Spinoza reportedly avoids grooming, framed as a humorous anecdote. The post references a MacroMusings podcast featuring JFV, though no details are provided. A link highlights potential dangers of AI, while another explores using large language models to identify fiscal shocks. The final point notes that social media restrictions are increasing surveillance and eroding internet anonymity. The post is brief, offering minimal context for each item, leaving interpretation open. The tone is neutral, though the selection of topics suggests an interest in AI's societal impact and digital privacy concerns.

Full Take

This post exemplifies the curated link format common in aggregator-style commentary, where brevity and selection shape the narrative. The strongest version of this narrative is that it offers a snapshot of diverse, thought-provoking topics—from AI risks to digital privacy—without overt bias. The inclusion of a lighthearted anecdote (Spinoza the dog) alongside weightier subjects (AI dangers, surveillance) creates a tonal contrast that may engage readers while subtly framing AI and privacy as pressing concerns.
Pattern scan: The post avoids emotional exploitation or distortion, but its brevity risks ambiguity (ARC-0024). By omitting context, it leaves room for readers to project their own interpretations onto the links, which could amplify preexisting biases. The lack of elaboration on the AI danger or fiscal shock claims, for example, might inadvertently lend them undue weight or dismissibility, depending on the reader’s prior views.
Root cause: The paradigm here is the "curator as gatekeeper," where the act of selection itself implies significance. The unstated assumption is that these disparate topics are equally worthy of attention, which may reflect a broader cultural moment where AI, economic modeling, and digital rights are converging in public discourse.
Implications: For human agency, the post’s structure places the burden of synthesis on the reader. Those who click through may gain nuanced insights, but passive consumers might absorb only the headlines, reinforcing surface-level understanding. The cost is borne by those who lack time or access to explore further, while the benefit accrues to those who can contextualize the links.
Bridge questions: What criteria determine which links are included or excluded? How might the framing of these topics differ if they were explored in depth rather than as bullet points? What perspectives on AI or surveillance are missing from this curated selection?
Counterstrike scan: A coordinated influence campaign might use such a format to normalize specific narratives by juxtaposing them with neutral or humorous content, creating an illusion of balance. However, this post does not exhibit structural alignment with that playbook—it lacks a clear agenda, emotional triggers, or repetitive framing. The content appears to be a genuine aggregation rather than a manipulated one.

Sentinel — Human

Confidence

The text exhibits strong human stylistic markers, including informal phrasing and erratic sentence structure, with no signs of AI-generated uniformity or coordination.

Signals Detected
low severity: Sentence length variance is high, with erratic phrasing and informal tone.
low severity: Text is fluent but lacks the mechanical balance typical of AI-generated content.
low severity: No evidence of template patterns or verbatim repetition across sources.
low severity: No unverifiable claims or overly convenient attributions.
Human Indicators
Idiosyncratic phrasing (e.g., 'Spinoza does not like going to the groomer at any price')
Informal, conversational tone with personal voice
Lack of mechanical transitions or hedging language