Argus Digest: test

Scored 256 articles from 151 feeds; 15 included in digest.

Run ID: run-1788335881752

Generated: September 02, 2026 at 04:02 AM ET

Summaries: gemini-flash-lite-latest; enrichment 15/15 succeeded

Source Contribution
Source contribution summary for this digest
SourceTypeIncludedScored28d Digest Rate28d Avg Score28d Hotlist Hit7d Article Age28d Confidence
Bogleheads forumnews1105%0.050%1.1hStable
Hacker Newscommentary11010%0.230%2.2dStable
Medium Artificial Intelligence (keyword)commentary1107%0.110%0.9hStable
MyFTnews1105%0.050%4.6hStable
OpenClaw: discovery-rankcurated110Collecting dataCollecting dataCollecting dataUnknownCollecting
Reddit AI Warsnews110~10%~0.14~0%11.5hLow sample
Reddit R/Bitcoinnews1107%0.100%6.7hStable
arXiv CompSci CLresearch110~6%~0.10~0%3.9hLow sample
Book Riotcommentary1915%0.270%10.0hStable
The Vergenews1913%0.180%7.9hStable
WSJ Tech news187%0.080%7.2hStable
The Atlanticnews1511%0.120%8.4hStable
Ars Technical All Newsnews1212%0.130%8.4hStable
Atlas Obscuracommentary11~29%~0.63~0%5.1hLow sample
MIT Research Generalresearch11Collecting dataCollecting dataCollecting data4.2hCollecting
Bloomberg Marketsnews0102%0.020%4.8hStable
Guardiannews01010%0.200%11.1hStable
Medium AI (keyword)commentary0107%0.110%0.8hStable
NYT front page news0107%0.080%8.8hStable
R/Scamscommentary010Collecting dataCollecting dataCollecting data23.4hCollecting
Reddit AntiAInews0107%0.120%8.2hStable
TechCrunchnews01010%0.100%5.5hStable
WSJ US Businessnews0104%0.050%9.6hStable
Zero Hedgecommentary0103%0.020%9.0hStable
arXiv CompSci MLresearch010~8%~0.09~0%3.9hLow sample
Seeking Alpha Newscommentary073%0.010%1.2hStable
India Timesnews060%0.000%3.5hStable
WSJ Social Economynews055%0.010%6.4hStable
Economist: Finance & Economics news02Collecting dataCollecting dataCollecting data13.0hCollecting
FT Alphavillenews02~8%~0.11~0%3.2hLow sample
Reddit R/FuturesTradingnews02~2%~0.00~0%8.2hLow sample
SEC Press Releases policy_release02Collecting dataCollecting dataCollecting data7.7hCollecting
Tom’s Hardwarenews029%0.210%9.0hStable
Better Markets Substacknews01Collecting dataCollecting dataCollecting data2.8hCollecting
Closing Line Substack news01Collecting dataCollecting dataCollecting data9.4hCollecting
Economist: Europenews01Collecting dataCollecting dataCollecting data6.9hCollecting
Economist: United Statesnews01Collecting dataCollecting dataCollecting data10.7hCollecting
FRB All working paperspolicy_release01Collecting dataCollecting dataCollecting data2.5hCollecting
Futurismnews0112%0.140%5.0hStable
Hugging Facecommentary01Collecting dataCollecting dataCollecting data20.1hCollecting
MIT AI Researchresearch01Collecting dataCollecting dataCollecting data8.2hCollecting
NYT Economynews01Collecting dataCollecting dataCollecting data4.7hCollecting
Reddit R/Ethereumnews01~5%~0.06~0%4.8hLow sample
The Onionnews0120%0.490%7.1hStable
Venture Beatcommentary01~1%~0.03~0%4.5hLow sample
Wired AI Newsnews01~13%~0.16~0%8.4hLow sample

Source: Bogleheads forum

Type: news

Included: 1

Scored: 10

28d Digest Rate: 5%

28d Avg Score: 0.05

28d Hotlist Hit: 0%

7d Article Age: 1.1h

28d Confidence: Stable

Source: Hacker News

Type: commentary

Included: 1

Scored: 10

28d Digest Rate: 10%

28d Avg Score: 0.23

28d Hotlist Hit: 0%

7d Article Age: 2.2d

28d Confidence: Stable

Source: Medium Artificial Intelligence (keyword)

Type: commentary

Included: 1

Scored: 10

28d Digest Rate: 7%

28d Avg Score: 0.11

28d Hotlist Hit: 0%

7d Article Age: 0.9h

28d Confidence: Stable

Source: MyFT

Type: news

Included: 1

Scored: 10

28d Digest Rate: 5%

28d Avg Score: 0.05

28d Hotlist Hit: 0%

7d Article Age: 4.6h

28d Confidence: Stable

Source: OpenClaw: discovery-rank

Type: curated

Included: 1

Scored: 10

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: Unknown

28d Confidence: Collecting

Source: Reddit AI Wars

Type: news

Included: 1

Scored: 10

28d Digest Rate: ~10%

28d Avg Score: ~0.14

28d Hotlist Hit: ~0%

7d Article Age: 11.5h

28d Confidence: Low sample

Source: Reddit R/Bitcoin

Type: news

Included: 1

Scored: 10

28d Digest Rate: 7%

28d Avg Score: 0.10

28d Hotlist Hit: 0%

7d Article Age: 6.7h

28d Confidence: Stable

Source: arXiv CompSci CL

Type: research

Included: 1

Scored: 10

28d Digest Rate: ~6%

28d Avg Score: ~0.10

28d Hotlist Hit: ~0%

7d Article Age: 3.9h

28d Confidence: Low sample

Source: Book Riot

Type: commentary

Included: 1

Scored: 9

28d Digest Rate: 15%

28d Avg Score: 0.27

28d Hotlist Hit: 0%

7d Article Age: 10.0h

28d Confidence: Stable

Source: The Verge

Type: news

Included: 1

Scored: 9

28d Digest Rate: 13%

28d Avg Score: 0.18

28d Hotlist Hit: 0%

7d Article Age: 7.9h

28d Confidence: Stable

Source: WSJ Tech

Type: news

Included: 1

Scored: 8

28d Digest Rate: 7%

28d Avg Score: 0.08

28d Hotlist Hit: 0%

7d Article Age: 7.2h

28d Confidence: Stable

Source: The Atlantic

Type: news

Included: 1

Scored: 5

28d Digest Rate: 11%

28d Avg Score: 0.12

28d Hotlist Hit: 0%

7d Article Age: 8.4h

28d Confidence: Stable

Source: Ars Technical All News

Type: news

Included: 1

Scored: 2

28d Digest Rate: 12%

28d Avg Score: 0.13

28d Hotlist Hit: 0%

7d Article Age: 8.4h

28d Confidence: Stable

Source: Atlas Obscura

Type: commentary

Included: 1

Scored: 1

28d Digest Rate: ~29%

28d Avg Score: ~0.63

28d Hotlist Hit: ~0%

7d Article Age: 5.1h

28d Confidence: Low sample

Source: MIT Research General

Type: research

Included: 1

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 4.2h

28d Confidence: Collecting

Source: Bloomberg Markets

Type: news

Included: 0

Scored: 10

28d Digest Rate: 2%

28d Avg Score: 0.02

28d Hotlist Hit: 0%

7d Article Age: 4.8h

28d Confidence: Stable

Source: Guardian

Type: news

Included: 0

Scored: 10

28d Digest Rate: 10%

28d Avg Score: 0.20

28d Hotlist Hit: 0%

7d Article Age: 11.1h

28d Confidence: Stable

Source: Medium AI (keyword)

Type: commentary

Included: 0

Scored: 10

28d Digest Rate: 7%

28d Avg Score: 0.11

28d Hotlist Hit: 0%

7d Article Age: 0.8h

28d Confidence: Stable

Source: NYT front page

Type: news

Included: 0

Scored: 10

28d Digest Rate: 7%

28d Avg Score: 0.08

28d Hotlist Hit: 0%

7d Article Age: 8.8h

28d Confidence: Stable

Source: R/Scams

Type: commentary

Included: 0

Scored: 10

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 23.4h

28d Confidence: Collecting

Source: Reddit AntiAI

Type: news

Included: 0

Scored: 10

28d Digest Rate: 7%

28d Avg Score: 0.12

28d Hotlist Hit: 0%

7d Article Age: 8.2h

28d Confidence: Stable

Source: TechCrunch

Type: news

Included: 0

Scored: 10

28d Digest Rate: 10%

28d Avg Score: 0.10

28d Hotlist Hit: 0%

7d Article Age: 5.5h

28d Confidence: Stable

Source: WSJ US Business

Type: news

Included: 0

Scored: 10

28d Digest Rate: 4%

28d Avg Score: 0.05

28d Hotlist Hit: 0%

7d Article Age: 9.6h

28d Confidence: Stable

Source: Zero Hedge

Type: commentary

Included: 0

Scored: 10

28d Digest Rate: 3%

28d Avg Score: 0.02

28d Hotlist Hit: 0%

7d Article Age: 9.0h

28d Confidence: Stable

Source: arXiv CompSci ML

Type: research

Included: 0

Scored: 10

28d Digest Rate: ~8%

28d Avg Score: ~0.09

28d Hotlist Hit: ~0%

7d Article Age: 3.9h

28d Confidence: Low sample

Source: Seeking Alpha News

Type: commentary

Included: 0

Scored: 7

28d Digest Rate: 3%

28d Avg Score: 0.01

28d Hotlist Hit: 0%

7d Article Age: 1.2h

28d Confidence: Stable

Source: India Times

Type: news

Included: 0

Scored: 6

28d Digest Rate: 0%

28d Avg Score: 0.00

28d Hotlist Hit: 0%

7d Article Age: 3.5h

28d Confidence: Stable

Source: WSJ Social Economy

Type: news

Included: 0

Scored: 5

28d Digest Rate: 5%

28d Avg Score: 0.01

28d Hotlist Hit: 0%

7d Article Age: 6.4h

28d Confidence: Stable

Source: Economist: Finance & Economics

Type: news

Included: 0

Scored: 2

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 13.0h

28d Confidence: Collecting

Source: FT Alphaville

Type: news

Included: 0

Scored: 2

28d Digest Rate: ~8%

28d Avg Score: ~0.11

28d Hotlist Hit: ~0%

7d Article Age: 3.2h

28d Confidence: Low sample

Source: Reddit R/FuturesTrading

Type: news

Included: 0

Scored: 2

28d Digest Rate: ~2%

28d Avg Score: ~0.00

28d Hotlist Hit: ~0%

7d Article Age: 8.2h

28d Confidence: Low sample

Source: SEC Press Releases

Type: policy_release

Included: 0

Scored: 2

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 7.7h

28d Confidence: Collecting

Source: Tom’s Hardware

Type: news

Included: 0

Scored: 2

28d Digest Rate: 9%

28d Avg Score: 0.21

28d Hotlist Hit: 0%

7d Article Age: 9.0h

28d Confidence: Stable

Source: Better Markets Substack

Type: news

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 2.8h

28d Confidence: Collecting

Source: Closing Line Substack

Type: news

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 9.4h

28d Confidence: Collecting

Source: Economist: Europe

Type: news

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 6.9h

28d Confidence: Collecting

Source: Economist: United States

Type: news

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 10.7h

28d Confidence: Collecting

Source: FRB All working papers

Type: policy_release

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 2.5h

28d Confidence: Collecting

Source: Futurism

Type: news

Included: 0

Scored: 1

28d Digest Rate: 12%

28d Avg Score: 0.14

28d Hotlist Hit: 0%

7d Article Age: 5.0h

28d Confidence: Stable

Source: Hugging Face

Type: commentary

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 20.1h

28d Confidence: Collecting

Source: MIT AI Research

Type: research

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 8.2h

28d Confidence: Collecting

Source: NYT Economy

Type: news

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 4.7h

28d Confidence: Collecting

Source: Reddit R/Ethereum

Type: news

Included: 0

Scored: 1

28d Digest Rate: ~5%

28d Avg Score: ~0.06

28d Hotlist Hit: ~0%

7d Article Age: 4.8h

28d Confidence: Low sample

Source: The Onion

Type: news

Included: 0

Scored: 1

28d Digest Rate: 20%

28d Avg Score: 0.49

28d Hotlist Hit: 0%

7d Article Age: 7.1h

28d Confidence: Stable

Source: Venture Beat

Type: commentary

Included: 0

Scored: 1

28d Digest Rate: ~1%

28d Avg Score: ~0.03

28d Hotlist Hit: ~0%

7d Article Age: 4.5h

28d Confidence: Low sample

Source: Wired AI News

Type: news

Included: 0

Scored: 1

28d Digest Rate: ~13%

28d Avg Score: ~0.16

28d Hotlist Hit: ~0%

7d Article Age: 8.4h

28d Confidence: Low sample

Scored by: gemini-flash-lite-latest (google)

Cats and Owls and Axolotls, Oh My!: The Best Library and Bookstore Pets

Book Riot | positive | Published: 06:00 Sep 01, 2026 (Eastern)

The author recalls working at a library where the children's department changed its theme every year, noting that the themes for the first few years involved animals.

Keywords: library pets, bookstore animals, cats, owls, axolotls

As a researcher, I refuse to use Google. Automating the boring parts is cheating

Reddit AI Wars | positive | Published: 16:16 Sep 01, 2026 (Eastern)

The author argues against automating mundane tasks in research, stating that using tools like Google, search engines, databases, or even Ctrl+F is a form of cheating. The author contends that enduring the slow, manual process of traditional library research builds character and is essential to being a true scholar.

Keywords: researcher, library, card catalog, automation, satire, eccentric

‘Night of the Living Dead’ Grave Markers in Evans City, Pennsylvania

Atlas Obscura | positive | Published: 16:00 Sep 01, 2026 (Eastern)

Evans City, Pennsylvania, features filming locations and grave markers from George A. Romero's 1968 horror film, "Night of the Living Dead." These locations include the headstone of Civil War veteran Nicholas Kramer, the Blair and Cole plot, and the grave of Clyde Lewis Meyers.

Keywords: Night of the Living Dead, Evans City, Pennsylvania, horror movie, grave markers, George A. Romero, film tourism

Solving the Flat Cube

Hacker News | neutral | Published: 08:02 Aug 31, 2026 (Eastern)

The article discusses the "Flat Cube" (also called the Propp Twist or Propp Tiles), a puzzle composed of lozenges that resemble a flattened Rubik's Cube. The author explores how many moves—referred to as "God's number"—are required to solve the uncolored puzzle from the most scrambled state, using two visual approaches: adding a dimension (equating twists to piling up cubes in a tray) and subtracting a dimension (treating horizontal lozenges as beads on wires). The text describes how puzzle designers Oskar van Deventer and Dmitry Andreev brought the mathematical concept into the physical world, notes the broader study of tiling landscapes, and includes updates regarding computational proofs for God's number on different orders of the puzzle.

Keywords: Flat Cube, puzzles, puzzle solving, Hacker News

My local Bitcoin meetup. Haters gonna say it's AI

Reddit R/Bitcoin | positive | Published: 16:18 Sep 01, 2026 (Eastern)

A Reddit user submitted a link titled "My local Bitcoin meetup. Haters gonna say it's AI" to the r/Bitcoin community, featuring an image and a video link.

Keywords: Bitcoin, meetup, AI, Reddit, humor

Personal Consumer Issues • Re: What are you listening to now

Bogleheads forum | positive | Published: 02:21 Sep 02, 2026 (Eastern)

A forum poster shares their deep dive into the bass lines of Van Morrison's album Moondance, specifically highlighting bassist John Klingberg. The post notes Klingberg's work on albums like Moondance and His Band and the Street Choir, quotes background details on his bass style from sleeve artist Mike McInnerney, links to Klingberg's 1985 obituary in the Woodstock Times, and mentions discovering a YouTube channel archiving his music managed by his daughter, Rachel Day Klingberg.

Keywords: John Klingberg, Van Morrison, Moondance, bass, music history, YouTube archive

Research roundup: 7 cool science stories we almost missed

Ars Technical All News | neutral | Published: 15:06 Sep 01, 2026 (Eastern)

This research roundup highlights various science stories, including topics such as black hole stars, making cookies from plastic, and tiny sound-powered drones.

Keywords: science, black hole stars, plastic cookies, sound-powered drones, research

The Backlash Against Polyester Has Gone Too Far

The Atlantic | neutral | Subscription | Published: 17:00 Sep 01, 2026 (Eastern)

Consumer and internet culture has increasingly embraced natural fibers while rejecting synthetic materials like polyester and nylon over concerns about microplastics, environmental impact, and product quality. However, the article argues that this backlash has gone too far, noting that synthetic fibers offer functional benefits such as durability, moisture-wicking, stretch, and shape retention that natural fibers cannot always match. Furthermore, the overall quality, sustainability, and lifespan of a garment depend on a complex matrix of factors—including fabric weight, weave, construction, and care—rather than relying solely on a simple distinction between natural and synthetic materials.

Keywords: polyester, natural fibers, clothing, fashion, fabrics

This new Roomba seals itself to your carpet

The Verge | neutral | Published: 02:00 Sep 02, 2026 (Eastern)

iRobot has announced a new flagship robot vacuum that it will showcase at IFA in Berlin. This marks the company's first major tech trade show appearance in years, following its acquisition out of bankruptcy in January by contract manufacturer Picea Robotics.

Keywords: iRobot, Roomba, robot vacuum, Picea Robotics, IFA Berlin

Can Evan Spiegel Sell the World on $2,195 Smart Glasses?

WSJ Tech | negative | Subscription | Published: 20:00 Sep 01, 2026 (Eastern)

As Snap struggles with profitability, CEO Evan Spiegel is doubling down on a hardware play involving smart glasses, a strategy that has made some investors wary.

Keywords: Snap, Evan Spiegel, smart glasses, technology, business

Cognition and consciousness arise from analog computations, says new theory

MIT Research General | neutral | Published: 16:35 Sep 01, 2026 (Eastern)

Published in The Journal of Neuroscience by scientists at MIT's Picower Institute for Learning and Memory, a new theory posits that cognition and consciousness arise from the brain using traveling waves of rhythmic neural activity to coordinate neural networks with analog computations. Senior author Earl K. Miller and co-authors Scott L. Brincat and Jefferson E. Roy argue that while physical circuits and synapses store memories and goals, brain waves provide a fast and efficient control system to coordinate millions of neurons. According to the theory, slow alpha and beta frequency waves govern faster gamma waves, enabling spatiotemporal computing where waves can add, subtract, and process multiple calculations in parallel. The researchers also suggest that consciousness relies on the integrity of large-scale wave organization, citing studies on general anesthesia showing that various drugs disrupt brain wave dynamics to cause unconsciousness. The authors aim to test their theory by looking for direct signatures of analog computation in brain wave patterns, and note that wave dynamics could potentially inform non-invasive clinical treatments.

Keywords: MIT, neuroscience, consciousness, cognition, analog computation

Ready to Speak: Aligning LLMs for TTS-Friendly Text Generation

arXiv CompSci CL | neutral | Published: 00:00 Sep 02, 2026 (Eastern)

This research paper explores aligning Large Language Models (LLMs) to natively generate text optimized for Text-to-Speech (TTS) delivery, framing the task as a preference alignment problem. The authors introduce two preference datasets, CORA and Recipe, featuring paired TTS-friendly and TTS-unfriendly responses, along with an evaluation suite combining a pattern-based heuristic metric, a TTS-to-ASR evaluation pipeline, and a MUSHRA human listening study. Evaluating the Feature-aware Sampling and Tuning (FaST) framework against various alignment baselines, the study finds that FaST achieves the best overall tradeoff between TTS-friendliness and helpfulness, while also demonstrating a strong correlation between metrics for reliable assessment.

Keywords: Large Language Models, Text-to-Speech, AI research, Preference alignment, Natural Language Processing

Want to eat like a real Chicagoan? Go to these three neighbourhoods

MyFT | positive | Subscription | Published: 00:00 Sep 02, 2026 (Eastern)

Chicago's food culture reflects its history as a city of immigrants and its diverse culinary offerings.

Keywords: Chicago, food, neighborhoods, travel, culture

EULER: Exploring Underused Links with Evidence-Checked Return for Multi-Agent Mathematical Discovery

OpenClaw: discovery-rank | neutral | Published: Unknown

The article presents EULER, a multi-agent system designed for multi-agent mathematical discovery by using problem transfers, or bridges, as its unit of search around a fixed conjecture. EULER evaluates direct, adjacent-domain, and distant-domain routes in competition, retaining bridges only if they execute operations the source cannot and provide target-side evidence that returns to the original statement via checked implications, with six stress tests filtering out invalid bridges. Evaluated on 120 recent, contamination-screened conjectures from combinatorics papers, EULER generated 10 proofs, 3 refutations, and 45 scoped partial results. Ablation tests showed that bridge-specific stress tests reduced incorrect conclusions from 9 to 3, and combining bridge material with target-native operations produced a positive interaction yielding +4.2 resolved tasks, while domain distance did not reliably predict success.

Keywords: EULER, multi-agent system, mathematical discovery, AI, research

A 275,000-Character Claude Fable 5.1 Prompt Appeared on GitHub. Here’s What It Actually Reveals

Medium Artificial Intelligence (keyword) | neutral | Published: 02:52 Sep 02, 2026 (Eastern)

An article on Generative AI discusses a 275,000-character Claude Fable 5.1 prompt that appeared on GitHub, noting that the story focuses more on the architecture surrounding modern AI agents than on a hack.

Keywords: Claude Fable 5.1, GitHub, artificial intelligence, AI agents, prompt engineering