Scored 178 articles from 151 feeds; 15 included in digest.
Run ID: run-1791963646681
Generated: October 14, 2026 at 03:44 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 |
|---|---|---|---|---|---|---|---|---|
| Bogleheads forum | news | 1 | 10 | 5% | 0.05 | 0% | 0.9h | Stable |
| Guardian | news | 1 | 10 | 10% | 0.17 | 0% | 10.7h | Stable |
| Hacker News | commentary | 1 | 10 | 10% | 0.24 | 0% | 1.0d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 8% | 0.11 | 0% | 0.8h | Stable |
| MyFT | news | 1 | 10 | 5% | 0.05 | 0% | 4.4h | Stable |
| NYT front page | news | 1 | 10 | 6% | 0.06 | 0% | 6.5h | Stable |
| Reddit AI Wars | news | 1 | 10 | ~8% | ~0.16 | ~0% | 9.7h | Low sample |
| TechCrunch | news | 1 | 10 | 9% | 0.10 | 0% | 6.2h | Stable |
| WSJ US Business | news | 1 | 10 | 5% | 0.05 | 0% | 9.7h | Stable |
| The Atlantic | news | 1 | 4 | 11% | 0.12 | 0% | 8.0h | Stable |
| The Verge | news | 1 | 4 | 12% | 0.15 | 0% | 8.1h | Stable |
| MIT AI Research | research | 1 | 3 | Collecting data | Collecting data | Collecting data | 9.1h | Collecting |
| Atlas Obscura | commentary | 1 | 2 | ~46% | ~0.67 | ~0% | 8.3h | Low sample |
| FT Alphaville | news | 1 | 2 | ~9% | ~0.10 | ~0% | 5.5h | Low sample |
| Latent Space | commentary | 1 | 2 | Collecting data | Collecting data | Collecting data | 8.0h | Collecting |
| Bloomberg Markets | news | 0 | 10 | 2% | 0.01 | 0% | 4.3h | Stable |
| Medium AI (keyword) | commentary | 0 | 10 | 8% | 0.10 | 0% | 0.8h | Stable |
| Zero Hedge | commentary | 0 | 10 | 2% | 0.01 | 0% | 9.0h | Stable |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.01 | 0% | 1.4h | Stable |
| Ars Technical All News | news | 0 | 6 | 13% | 0.13 | 0% | 8.4h | Stable |
| India Times | news | 0 | 6 | 0% | 0.00 | 0% | 6.9h | Stable |
| WSJ Social Economy | news | 0 | 6 | 3% | 0.01 | 0% | 8.0h | Stable |
| Futurism | news | 0 | 3 | 12% | 0.17 | 0% | 5.7h | Stable |
| Reddit R/FuturesTrading | news | 0 | 2 | ~2% | ~0.02 | ~0% | 10.2h | Low sample |
| WSJ Tech | news | 0 | 2 | 7% | 0.07 | 0% | 8.9h | Stable |
| Wired AI News | news | 0 | 2 | ~15% | ~0.18 | ~0% | 9.6h | Low sample |
| AI Daily Brief YT podcast | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.6h | Collecting |
| Book Riot | commentary | 0 | 1 | 15% | 0.28 | 0% | 9.9h | Stable |
| Closing Line Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.5h | Collecting |
| Economist: Business | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 12.9h | Collecting |
| Krebs on Security | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.4h | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~9% | ~0.07 | ~0% | 2.8h | Low sample |
| SEC Speeches Statements | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.5h | Collecting |
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: 0.9h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 1
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.17
28d Hotlist Hit: 0%
7d Article Age: 10.7h
28d Confidence: Stable
Source: Hacker News
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.24
28d Hotlist Hit: 0%
7d Article Age: 1.0d
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 8%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 0.8h
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: 4.4h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 1
Scored: 10
28d Digest Rate: 6%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 6.5h
28d Confidence: Stable
Source: Reddit AI Wars
Type: news
Included: 1
Scored: 10
28d Digest Rate: ~8%
28d Avg Score: ~0.16
28d Hotlist Hit: ~0%
7d Article Age: 9.7h
28d Confidence: Low sample
Source: TechCrunch
Type: news
Included: 1
Scored: 10
28d Digest Rate: 9%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 6.2h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 10
28d Digest Rate: 5%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 9.7h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 1
Scored: 4
28d Digest Rate: 11%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 1
Scored: 4
28d Digest Rate: 12%
28d Avg Score: 0.15
28d Hotlist Hit: 0%
7d Article Age: 8.1h
28d Confidence: Stable
Source: MIT AI Research
Type: research
Included: 1
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.1h
28d Confidence: Collecting
Source: Atlas Obscura
Type: commentary
Included: 1
Scored: 2
28d Digest Rate: ~46%
28d Avg Score: ~0.67
28d Hotlist Hit: ~0%
7d Article Age: 8.3h
28d Confidence: Low sample
Source: FT Alphaville
Type: news
Included: 1
Scored: 2
28d Digest Rate: ~9%
28d Avg Score: ~0.10
28d Hotlist Hit: ~0%
7d Article Age: 5.5h
28d Confidence: Low sample
Source: Latent Space
Type: commentary
Included: 1
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.0h
28d Confidence: Collecting
Source: Bloomberg Markets
Type: news
Included: 0
Scored: 10
28d Digest Rate: 2%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 4.3h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 10
28d Digest Rate: 8%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Zero Hedge
Type: commentary
Included: 0
Scored: 10
28d Digest Rate: 2%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 9.0h
28d Confidence: Stable
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: Ars Technical All News
Type: news
Included: 0
Scored: 6
28d Digest Rate: 13%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 8.4h
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: 6.9h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 6
28d Digest Rate: 3%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
Source: Futurism
Type: news
Included: 0
Scored: 3
28d Digest Rate: 12%
28d Avg Score: 0.17
28d Hotlist Hit: 0%
7d Article Age: 5.7h
28d Confidence: Stable
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~2%
28d Avg Score: ~0.02
28d Hotlist Hit: ~0%
7d Article Age: 10.2h
28d Confidence: Low sample
Source: WSJ Tech
Type: news
Included: 0
Scored: 2
28d Digest Rate: 7%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 8.9h
28d Confidence: Stable
Source: Wired AI News
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~15%
28d Avg Score: ~0.18
28d Hotlist Hit: ~0%
7d Article Age: 9.6h
28d Confidence: Low sample
Source: AI Daily Brief YT podcast
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.6h
28d Confidence: Collecting
Source: Book Riot
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: 15%
28d Avg Score: 0.28
28d Hotlist Hit: 0%
7d Article Age: 9.9h
28d Confidence: Stable
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: 8.5h
28d Confidence: Collecting
Source: Economist: Business
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 12.9h
28d Confidence: Collecting
Source: Krebs on Security
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.4h
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~9%
28d Avg Score: ~0.07
28d Hotlist Hit: ~0%
7d Article Age: 2.8h
28d Confidence: Low sample
Source: SEC Speeches Statements
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: 5.5h
28d Confidence: Collecting
Former commercial cheesemaker Trevor Warmedahl embarked on a global journey to document traditional and rare cheesemaking methods across more than 20 countries. Over the past six years, he has traveled to remote regions in places like Mongolia, Georgia, and Turkey to experience pastoral lifestyles, learn about natural dairy processing, and study how local cheeses reflect the history, culture, and relationship between communities and their landscapes.
Keywords: hiking, cheese, travel, rare cheese
This MyFT article features model, photographer, and dog rescuer Guinevere van Seenus at her home in rural Connecticut.
Keywords: Guinevere van Seenus, dogs, dog rescue, Connecticut, model
In 1814 in Caldwell, Ohio, Silas Thorla and Robert McKee drilled into the earth searching for briny water to produce salt, but instead encountered crude oil as an unwanted byproduct. Finding the petroleum to be a nuisance that interfered with salt production, they used wool blankets to soak it up and bottled it to market as the medicinal cure "Seneca Oil." The well occasionally shot brine water and oil 40 feet into the air, and at least once caught fire due to a night-shift lantern or burning coal. While the original 1814 well was covered, their 1816 well remains with its sycamore casing and is claimed by Ohio as the country's first oil well, preceding America's first commercial oil well dedicated explicitly to crude oil.
Keywords: Thorla-McKee Well, Caldwell, Ohio, petroleum history, salt wells, Seneca Oil, historical trivia
The author expresses an enjoyment of merchandise, similar to younger people, and mentions having merchandise ideas intended for older individuals.
Keywords: Elder Influencer, merchandise, aging, opinion
The Guardian reviews the film adaptation of "Frank and Percy," directed by Sean Mathias and adapted by screenwriter Martin Sherman from Ben Weatherill's stage play. Ian McKellen and Roger Allam reprise their starring roles as Percy and Frank, two lonely older men and dog walkers on Hampstead Heath whose friendship evolves into a romance. The film features supporting performances by Joanna Lumley, Stephen Fry, Derek Jacobi, Ncuti Gatwa, and Hugh Skinner. The review notes the film's tender sweetness, sentimentality, and easy-going good nature as the two men navigate late-in-life romance and companionship.
Keywords: Ian McKellen, Roger Allam, Frank and Percy, dog walkers, romance, film review
This photo collection from The Atlantic highlights the arrival of autumn, featuring early images of harvests, festivals, migrations, and seasonal fall colors.
Keywords: autumn, fall foliage, harvest, festivals, photography, migrations
Apple's commercial for its new HomeView smart display departs from the company's typically clean and orderly aesthetic by depicting a chaotic, fast-paced family morning routine with yelling and mess. However, according to the article from The Verge, the ad resonates with parents.
Keywords: Apple, HomeView, smart display, commercial, parents, advertising
A forum user shares that they have owned an 8-cup Moccamaster with a thermal carafe for nearly 20 years, use it with a Swiss gold reusable cone coffee filter, and plan to purchase another Moccamaster when their current one eventually breaks.
Keywords: Moccamaster, coffee maker, consumer review, coffee filter
The article explores the concept that certain sentences derive their power from being rare, questioning what happens to meaningful phrases like "I love you" in a world where machines can generate them flawlessly thousands of times.
Keywords: artificial intelligence, philosophy, language, machines, emotions
Speaking at TechCrunch Disrupt 2026, Cerebras Systems CEO and co-founder Andrew Feldman stated his belief that everyone will soon have a personal AI appliance in their home running locally and communicating with the cloud. Feldman cited consumer AI agents like Meta's Muse and Instinct as examples of progress, predicting that future home AI assistants will have security perimeters, manage purchases, and improve daily life. Feldman personally uses a collection of agents for tasks like calendar management, while focusing his company on providing the infrastructure and platforms for other founders to build consumer-facing ideas.
Keywords: Cerebras, Andrew Feldman, AI assistant, artificial intelligence, technology
In an episode of the Latent Space podcast, co-founder and Chief Scientist Jason Ma discusses Dyna Robotics and their recently announced Dyna-2 world-action model. Trained on over one million hours of human video and utilizing a diffusion transformer architecture, the model combines future video prediction with physical robot actions to enable general-purpose, long-horizon autonomy. The conversation covers topics such as the robotics data bottleneck, synthetic data, the rationale behind Dyna's wheeled semi-humanoid hardware design, real-world deployments at sites like Din Tai Fung and Best Western, and the broader vision of scaling physical AI for commercial customers.
Keywords: Dyna Robotics, Physical AI, Robotics, Artificial Intelligence, Autonomous Agents
P.C. Vey, a cartoonist for The New Yorker known for his work highlighting the absurdities of everyday life, has died at the age of 70.
Keywords: P.C. Vey, The New Yorker, cartoonist, obituary
Researchers at MIT's McGovern Institute and the K. Lisa Yang ICoN Center published a paper in PNAS arguing that an artificial neural network's biological plausibility depends on its ability to organize itself without a developer's guidance. The team demonstrated that a group of randomly connected units, governed by simple rules such as "neurons that fire together wire together," can build its own learning machinery and perform at levels similar to networks that rely on standard machine learning algorithms like back-propagation. The findings aim to help neuroscientists understand the rules of biological learning in the brain, which could eventually inform new therapies and improve machine learning systems.
Keywords: artificial neural networks, machine learning, neuroscience, brain reorganization
Financial firm Ruffer has weighed in on the topic of r-star, as discussed in a brief piece published by FT Alphaville.
Keywords: R-star, Ruffer
A Reddit user posted in the r/aiwars subreddit stating that an artificial intelligence tool would not let them retrieve a portion of their own writing for an assignment because of copyright restrictions.
Keywords: AI, copyright, Reddit, writing, assignment