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 | Type | Included | Scored | 28d Digest Rate | 28d Avg Score | 28d Hotlist Hit | 7d Article Age | 28d Confidence |
|---|---|---|---|---|---|---|---|---|
| Atlas Obscura | commentary | 1 | 10 | ~32% | ~0.63 | ~0% | 11.9h | Low sample |
| Bogleheads forum | news | 1 | 10 | 4% | 0.03 | 0% | 1.0h | Stable |
| Guardian | news | 1 | 10 | 4% | 0.13 | 0% | 11.1h | Stable |
| Hacker News | commentary | 1 | 10 | 7% | 0.18 | 0% | 1.9d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 7% | 0.07 | 0% | 0.9h | Stable |
| MyFT | news | 1 | 10 | 4% | 0.03 | 0% | 5.7h | Stable |
| NYT front page | news | 1 | 10 | 6% | 0.05 | 0% | 6.4h | Stable |
| Reddit AI Wars | news | 1 | 10 | Collecting data | Collecting data | Collecting data | 11.4h | Collecting |
| Reddit AntiAI | news | 1 | 10 | ~7% | ~0.09 | ~0% | 9.3h | Low sample |
| arXiv CompSci CL | research | 1 | 10 | ~2% | ~0.04 | ~0% | 3.9h | Low sample |
| Medium AI (keyword) | commentary | 1 | 8 | 8% | 0.07 | 0% | 0.8h | Stable |
| The Verge | news | 1 | 7 | 13% | 0.14 | 0% | 7.7h | Stable |
| ZD Net | news | 1 | 2 | 9% | 0.08 | 0% | 8.7h | Stable |
| Book Riot | commentary | 1 | 1 | 15% | 0.22 | 0% | 9.9h | Stable |
| Economist: Europe | news | 1 | 1 | Collecting data | Collecting data | Collecting data | 6.5h | Collecting |
| Bloomberg Markets | news | 0 | 10 | 1% | 0.01 | 0% | 6.3h | Stable |
| Reddit R/FuturesTrading | news | 0 | 10 | ~2% | ~0.00 | ~0% | 1.5d | Low sample |
| WSJ US Business | news | 0 | 10 | 6% | 0.04 | 0% | 7.7h | Stable |
| Zero Hedge | commentary | 0 | 10 | 2% | 0.02 | 0% | 10.1h | Stable |
| arXiv CompSci ML | research | 0 | 10 | ~2% | ~0.03 | ~0% | 3.9h | Low sample |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.01 | 0% | 1.4h | Stable |
| TechCrunch | news | 0 | 7 | 7% | 0.07 | 0% | 8.0h | Stable |
| Ars Technical All News | news | 0 | 6 | 12% | 0.09 | 0% | 8.4h | Stable |
| India Times | news | 0 | 6 | 2% | 0.01 | 0% | 4.6h | Stable |
| WSJ Social Economy | news | 0 | 4 | 2% | 0.01 | 0% | 7.1h | Stable |
| Futurism | news | 0 | 3 | 9% | 0.09 | 0% | 7.6h | Stable |
| FT Alphaville | news | 0 | 2 | ~9% | ~0.08 | ~0% | 7.6h | Low sample |
| Reddit R/Ethereum | news | 0 | 2 | ~4% | ~0.03 | ~0% | 6.3h | Low sample |
| WSJ Tech | news | 0 | 2 | 6% | 0.04 | 0% | 7.8h | Stable |
| BIG by Matt Stoller | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.5h | Collecting |
| Daring Fireball | commentary | 0 | 1 | ~20% | ~0.13 | ~0% | 5.6h | Low sample |
| Latent Space | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.2h | Collecting |
| NYT Economy | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 3.2h | Collecting |
| The Atlantic | news | 0 | 1 | 11% | 0.10 | 0% | 8.7h | Stable |
| Tom’s Hardware | news | 0 | 1 | 8% | 0.14 | 0% | 8.6h | Stable |
| Venture Beat | commentary | 0 | 1 | ~4% | ~0.04 | ~0% | 7.0h | Low 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
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
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
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
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
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
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
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
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
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
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 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
Wildlife photographer Robert Irwin expresses the perspective that artificial intelligence diminishes the artistry and impressiveness of photography.
Keywords: Robert Irwin, AI, wildlife photography, technology
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
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
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