Argus Digest: test

Scored 215 articles from 150 feeds; 15 included in digest.

Run ID: run-1784620231402

Generated: July 21, 2026 at 03:54 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
Atlas Obscuracommentary110~32%~0.63~0%11.9hLow sample
Bogleheads forumnews1104%0.030%1.0hStable
Guardiannews1104%0.130%11.1hStable
Hacker Newscommentary1107%0.180%1.9dStable
Medium Artificial Intelligence (keyword)commentary1107%0.070%0.9hStable
MyFTnews1104%0.030%5.7hStable
NYT front page news1106%0.050%6.4hStable
Reddit AI Warsnews110Collecting dataCollecting dataCollecting data11.4hCollecting
Reddit AntiAInews110~7%~0.09~0%9.3hLow sample
arXiv CompSci CLresearch110~2%~0.04~0%3.9hLow sample
Medium AI (keyword)commentary188%0.070%0.8hStable
The Vergenews1713%0.140%7.7hStable
ZD Netnews129%0.080%8.7hStable
Book Riotcommentary1115%0.220%9.9hStable
Economist: Europenews11Collecting dataCollecting dataCollecting data6.5hCollecting
Bloomberg Marketsnews0101%0.010%6.3hStable
Reddit R/FuturesTradingnews010~2%~0.00~0%1.5dLow sample
WSJ US Businessnews0106%0.040%7.7hStable
Zero Hedgecommentary0102%0.020%10.1hStable
arXiv CompSci MLresearch010~2%~0.03~0%3.9hLow sample
Seeking Alpha Newscommentary072%0.010%1.4hStable
TechCrunchnews077%0.070%8.0hStable
Ars Technical All Newsnews0612%0.090%8.4hStable
India Timesnews062%0.010%4.6hStable
WSJ Social Economynews042%0.010%7.1hStable
Futurismnews039%0.090%7.6hStable
FT Alphavillenews02~9%~0.08~0%7.6hLow sample
Reddit R/Ethereumnews02~4%~0.03~0%6.3hLow sample
WSJ Tech news026%0.040%7.8hStable
BIG by Matt Stollercommentary01Collecting dataCollecting dataCollecting data4.5hCollecting
Daring Fireballcommentary01~20%~0.13~0%5.6hLow sample
Latent Spacecommentary01Collecting dataCollecting dataCollecting data6.2hCollecting
NYT Economynews01Collecting dataCollecting dataCollecting data3.2hCollecting
The Atlanticnews0111%0.100%8.7hStable
Tom’s Hardwarenews018%0.140%8.6hStable
Venture Beatcommentary01~4%~0.04~0%7.0hLow sample

Source: Atlas Obscura

Type: commentary

Included: 1

Scored: 10

28d Digest Rate: ~32%

28d Avg Score: ~0.63

28d Hotlist Hit: ~0%

7d Article Age: 11.9h

28d Confidence: Low sample

Source: Bogleheads forum

Type: news

Included: 1

Scored: 10

28d Digest Rate: 4%

28d Avg Score: 0.03

28d Hotlist Hit: 0%

7d Article Age: 1.0h

28d Confidence: Stable

Source: Guardian

Type: news

Included: 1

Scored: 10

28d Digest Rate: 4%

28d Avg Score: 0.13

28d Hotlist Hit: 0%

7d Article Age: 11.1h

28d Confidence: Stable

Source: Hacker News

Type: commentary

Included: 1

Scored: 10

28d Digest Rate: 7%

28d Avg Score: 0.18

28d Hotlist Hit: 0%

7d Article Age: 1.9d

28d Confidence: Stable

Source: Medium Artificial Intelligence (keyword)

Type: commentary

Included: 1

Scored: 10

28d Digest Rate: 7%

28d Avg Score: 0.07

28d Hotlist Hit: 0%

7d Article Age: 0.9h

28d Confidence: Stable

Source: MyFT

Type: news

Included: 1

Scored: 10

28d Digest Rate: 4%

28d Avg Score: 0.03

28d Hotlist Hit: 0%

7d Article Age: 5.7h

28d Confidence: Stable

Source: NYT front page

Type: news

Included: 1

Scored: 10

28d Digest Rate: 6%

28d Avg Score: 0.05

28d Hotlist Hit: 0%

7d Article Age: 6.4h

28d Confidence: Stable

Source: Reddit AI Wars

Type: news

Included: 1

Scored: 10

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 11.4h

28d Confidence: Collecting

Source: Reddit AntiAI

Type: news

Included: 1

Scored: 10

28d Digest Rate: ~7%

28d Avg Score: ~0.09

28d Hotlist Hit: ~0%

7d Article Age: 9.3h

28d Confidence: Low sample

Source: arXiv CompSci CL

Type: research

Included: 1

Scored: 10

28d Digest Rate: ~2%

28d Avg Score: ~0.04

28d Hotlist Hit: ~0%

7d Article Age: 3.9h

28d Confidence: Low sample

Source: Medium AI (keyword)

Type: commentary

Included: 1

Scored: 8

28d Digest Rate: 8%

28d Avg Score: 0.07

28d Hotlist Hit: 0%

7d Article Age: 0.8h

28d Confidence: Stable

Source: The Verge

Type: news

Included: 1

Scored: 7

28d Digest Rate: 13%

28d Avg Score: 0.14

28d Hotlist Hit: 0%

7d Article Age: 7.7h

28d Confidence: Stable

Source: ZD Net

Type: news

Included: 1

Scored: 2

28d Digest Rate: 9%

28d Avg Score: 0.08

28d Hotlist Hit: 0%

7d Article Age: 8.7h

28d Confidence: Stable

Source: Book Riot

Type: commentary

Included: 1

Scored: 1

28d Digest Rate: 15%

28d Avg Score: 0.22

28d Hotlist Hit: 0%

7d Article Age: 9.9h

28d Confidence: Stable

Source: Economist: Europe

Type: news

Included: 1

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 6.5h

28d Confidence: Collecting

Source: Bloomberg Markets

Type: news

Included: 0

Scored: 10

28d Digest Rate: 1%

28d Avg Score: 0.01

28d Hotlist Hit: 0%

7d Article Age: 6.3h

28d Confidence: Stable

Source: Reddit R/FuturesTrading

Type: news

Included: 0

Scored: 10

28d Digest Rate: ~2%

28d Avg Score: ~0.00

28d Hotlist Hit: ~0%

7d Article Age: 1.5d

28d Confidence: Low sample

Source: WSJ US Business

Type: news

Included: 0

Scored: 10

28d Digest Rate: 6%

28d Avg Score: 0.04

28d Hotlist Hit: 0%

7d Article Age: 7.7h

28d Confidence: Stable

Source: Zero Hedge

Type: commentary

Included: 0

Scored: 10

28d Digest Rate: 2%

28d Avg Score: 0.02

28d Hotlist Hit: 0%

7d Article Age: 10.1h

28d Confidence: Stable

Source: arXiv CompSci ML

Type: research

Included: 0

Scored: 10

28d Digest Rate: ~2%

28d Avg Score: ~0.03

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: 2%

28d Avg Score: 0.01

28d Hotlist Hit: 0%

7d Article Age: 1.4h

28d Confidence: Stable

Source: TechCrunch

Type: news

Included: 0

Scored: 7

28d Digest Rate: 7%

28d Avg Score: 0.07

28d Hotlist Hit: 0%

7d Article Age: 8.0h

28d Confidence: Stable

Source: Ars Technical All News

Type: news

Included: 0

Scored: 6

28d Digest Rate: 12%

28d Avg Score: 0.09

28d Hotlist Hit: 0%

7d Article Age: 8.4h

28d Confidence: Stable

Source: India Times

Type: news

Included: 0

Scored: 6

28d Digest Rate: 2%

28d Avg Score: 0.01

28d Hotlist Hit: 0%

7d Article Age: 4.6h

28d Confidence: Stable

Source: WSJ Social Economy

Type: news

Included: 0

Scored: 4

28d Digest Rate: 2%

28d Avg Score: 0.01

28d Hotlist Hit: 0%

7d Article Age: 7.1h

28d Confidence: Stable

Source: Futurism

Type: news

Included: 0

Scored: 3

28d Digest Rate: 9%

28d Avg Score: 0.09

28d Hotlist Hit: 0%

7d Article Age: 7.6h

28d Confidence: Stable

Source: FT Alphaville

Type: news

Included: 0

Scored: 2

28d Digest Rate: ~9%

28d Avg Score: ~0.08

28d Hotlist Hit: ~0%

7d Article Age: 7.6h

28d Confidence: Low sample

Source: Reddit R/Ethereum

Type: news

Included: 0

Scored: 2

28d Digest Rate: ~4%

28d Avg Score: ~0.03

28d Hotlist Hit: ~0%

7d Article Age: 6.3h

28d Confidence: Low sample

Source: WSJ Tech

Type: news

Included: 0

Scored: 2

28d Digest Rate: 6%

28d Avg Score: 0.04

28d Hotlist Hit: 0%

7d Article Age: 7.8h

28d Confidence: Stable

Source: BIG by Matt Stoller

Type: commentary

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 4.5h

28d Confidence: Collecting

Source: Daring Fireball

Type: commentary

Included: 0

Scored: 1

28d Digest Rate: ~20%

28d Avg Score: ~0.13

28d Hotlist Hit: ~0%

7d Article Age: 5.6h

28d Confidence: Low sample

Source: Latent Space

Type: commentary

Included: 0

Scored: 1

28d Digest Rate: Collecting data

28d Avg Score: Collecting data

28d Hotlist Hit: Collecting data

7d Article Age: 6.2h

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: 3.2h

28d Confidence: Collecting

Source: The Atlantic

Type: news

Included: 0

Scored: 1

28d Digest Rate: 11%

28d Avg Score: 0.10

28d Hotlist Hit: 0%

7d Article Age: 8.7h

28d Confidence: Stable

Source: Tom’s Hardware

Type: news

Included: 0

Scored: 1

28d Digest Rate: 8%

28d Avg Score: 0.14

28d Hotlist Hit: 0%

7d Article Age: 8.6h

28d Confidence: Stable

Source: Venture Beat

Type: commentary

Included: 0

Scored: 1

28d Digest Rate: ~4%

28d Avg Score: ~0.04

28d Hotlist Hit: ~0%

7d Article Age: 7.0h

28d Confidence: Low sample

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

Devil’s Stone in Shebbear, England

Atlas Obscura | positive | Published: 18:46 Jul 20, 2026 (Eastern)

In the village of Shebbear, Devon, England, residents perform an annual tradition on November 5th involving a one-tonne rock known as the Devil's Stone. According to local folklore, the stone must be turned over each year to keep the Devil trapped beneath it. The event features the ringing of church bells to dispel evil spirits, followed by a group of villagers using crowbars to flip the stone while the crowd watches.

Keywords: Shebbear, Devil's Stone, folklore, local tradition, England, whimsical

Small dog missing for weeks rescued while swimming in San Francisco Bay

Guardian | positive | Subscription | Published: 16:31 Jul 20, 2026 (Eastern)

Firefighters and police in California rescued a small dog that had been missing since the Fourth of July weekend after it was spotted swimming in the San Francisco Bay near the Dumbarton Bridge. Emergency responders utilized boats, a drone, and ground observation to reach the animal, which was found a half-mile offshore. Following the rescue, the dog was transferred to the local Society for the Prevention of Cruelty to Animals and subsequently reunited with its owners.

Keywords: dog rescue, San Francisco Bay, firefighters, missing pet, animal welfare

The PlayStation replica ornament is an homage to a great, yet fragile console

The Verge | positive | Published: 16:06 Jul 20, 2026 (Eastern)

This article discusses the iconic boot sequence of the original PlayStation console, noting the specific two-part chime sequence that occurs depending on whether the console successfully reads a disc.

Keywords: PlayStation, Video Games, Nostalgia, Startup Sound, Gaming Hardware

We Have Seen THE ODYSSEY!

Book Riot | positive | Published: 17:58 Jul 20, 2026 (Eastern)

In this episode of the podcast Zero to Well-Read, the hosts discuss Christopher Nolan’s film adaptation of The Odyssey, comparing it to the original epic poem. The conversation covers key differences between the book and the movie, Matt Damon’s portrayal of Odysseus, and the realization of major set pieces. The episode also highlights composer Ludwig Göransson’s unique approach to the score and provides additional background on the production and mythological context of the story.

Keywords: The Odyssey, fandom, pop culture, nerd culture

My two year old taught me constraint solving

Hacker News | neutral | Published: 15:32 Jul 10, 2026 (Eastern)

Using his son's Brio wooden train set, the author explores algorithmic approaches to solving the constraint problem of creating closed track layouts. The article details the implementation of three methods—recursive backtracking, constraint satisfaction, and SAT solvers—to determine how various pieces can be arranged. The author explains the theoretical concepts behind these approaches, noting how each method handles complexity, memory, and search space, and concludes that different algorithms are better suited for different types of questions, such as verifying if a specific set of pieces can form a closed loop versus determining the most complex possible network.

Keywords: parenting, constraint solving, toddler, logic

Just a funny pattern I recognized in these debates

Reddit AI Wars | neutral | Published: 16:02 Jul 20, 2026 (Eastern)

A Reddit user has posted an image to the r/aiwars subreddit titled 'Just a funny pattern I recognized in these debates,' which characterizes a specific argument as a 'goomba fallacy' template.

Keywords: goomba fallacy, meme, internet discourse, reddit, AI debates

Investing - Theory, News & General • Re: Is this time different? [post for long time Bogleheads]

Bogleheads forum | neutral | Published: 01:53 Jul 21, 2026 (Eastern)

In a post on the Bogleheads forum, user Beensabu discusses personal spending and financial risk, noting that some investors maintain sufficient cash to cover basic living expenses in the event of a permanent stock market decline.

Keywords: Bogleheads, investing, andouille sausage, financial planning, frugality

Employees are scheduling fake meetings to make time for real work

MyFT | neutral | Subscription | Published: 00:00 Jul 21, 2026 (Eastern)

Some employees are scheduling fake meetings to clear time for completing actual tasks due to the prevalence of back-to-back calls.

Keywords: workplace culture, office productivity, calendar management, corporate life

Want to add Android Auto to your old car? Here are two ways - including one that's under $20

ZD Net | neutral | Published: 17:12 Jul 20, 2026 (Eastern)

This ZDNET article outlines two methods for adding Android Auto functionality to older vehicles. The first method involves purchasing an external, dashboard-mounted wireless screen, which requires no complex wiring. The second, more affordable method involves repurposing an old phone or tablet as a head unit by installing specific software, such as the Headunit Revived or Headunit Reloaded app, for a total cost of under $20.

Keywords: Android Auto, car tech, retrofitting, automotive

The Sewer Knows What You Ate

NYT front page | neutral | Subscription | Published: 15:00 Jul 20, 2026 (Eastern)

Following the use of wastewater testing as a virus monitoring tool during the Covid-19 pandemic, researchers are now applying the same method to analyze community dietary habits.

Keywords: wastewater, dietary habits, public health, science

AlphaOracle: Oracle bone script decipherment via human-workflow-inspired deep learning

arXiv CompSci CL | neutral | Published: 00:00 Jul 21, 2026 (Eastern)

AlphaOracle is a deep learning framework designed to assist in the decipherment of oracle bone script (OBS) by mimicking human philological workflows. The system utilizes a four-stage pipeline—covering rubbing parsing, morphological analysis, contextual retrieval, and philological validation—to generate confidence-weighted evidence chains. In testing, the tool showed strong agreement with domain experts, reduced analysis time by 64% for surveyed specialists, and provided specific insights into characters like 'Lao.' The authors suggest this methodology offers a template for researching other undeciphered scripts.

Keywords: AlphaOracle, oracle bone script, archaeology, deep learning, linguistics

Robert Irwin on AI, through his experience as a wildlife photographer: “Not only does AI take away from the artistry of photography, but it also dilutes what is impressive.”

Reddit AntiAI | negative | Published: 12:04 Jul 20, 2026 (Eastern)

Wildlife photographer Robert Irwin expresses the perspective that artificial intelligence diminishes the artistry and impressiveness of photography.

Keywords: Robert Irwin, AI, wildlife photography, technology

Gaming laptop external hard drive

Medium Artificial Intelligence (keyword) | neutral | Published: 02:59 Jul 21, 2026 (Eastern)

This article from Medium discusses the challenges of selecting an external hard drive for use with a gaming laptop, characterizing the process as a struggle to find the appropriate storage solution.

Keywords: gaming laptop, external hard drive, storage, technology, hardware

Café Europa newsletter: Spain’s champions tell a bigger story

Economist: Europe | neutral | Subscription | Published: 15:23 Jul 20, 2026 (Eastern)

In this edition of the Café Europa newsletter, The Economist's Spain correspondent, Michael Reid, discusses why the Spanish national football team serves as an embodiment of the country's positive attributes.

Keywords: Spain, Football, National identity, Culture

Wann ich ChatGPT und Claude im Ping-Pong arbeiten lasse

Medium AI (keyword) | neutral | Published: 03:01 Jul 21, 2026 (Eastern)

In this commentary, the author outlines a method called "KI-Ping-Pong," where ChatGPT and Claude are used iteratively to improve content that does not meet initial expectations. The author argues that using multiple AIs simultaneously is often a waste of time, noting that most outputs are sufficient on the first attempt. Ping-Pong should be reserved as an escalation step for projects with a longer lifespan, such as scripts or SEO elements, by prompting the second AI to identify weaknesses. The author provides three rules for this process: apply it only to long-term content, use it only when the initial output is insufficient, and specifically prompt for weaknesses.

Keywords: ChatGPT, Claude, AI, productivity, workflow