Scored 177 articles from 151 feeds; 15 included in digest.
Run ID: run-1788810343383
Generated: September 07, 2026 at 03:48 PM 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 |
|---|---|---|---|---|---|---|---|---|
| Guardian | news | 1 | 10 | 9% | 0.18 | 0% | 10.9h | Stable |
| Hacker News | commentary | 1 | 10 | 10% | 0.23 | 0% | 2.4d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 8% | 0.12 | 0% | 0.9h | Stable |
| NYT front page | news | 1 | 10 | 7% | 0.07 | 0% | 7.6h | Stable |
| Reddit AntiAI | news | 1 | 10 | 6% | 0.11 | 0% | 7.5h | Stable |
| Tom’s Hardware | news | 1 | 10 | 9% | 0.20 | 0% | 8.2h | Stable |
| WSJ US Business | news | 1 | 10 | 4% | 0.05 | 0% | 9.8h | Stable |
| The Verge | news | 1 | 5 | 12% | 0.18 | 0% | 6.9h | Stable |
| Futurism | news | 1 | 4 | 12% | 0.16 | 0% | 6.2h | Stable |
| The Onion | news | 1 | 3 | ~22% | ~0.50 | ~0% | 7.1h | Low sample |
| Silver Bulletin | commentary | 1 | 2 | Collecting data | Collecting data | Collecting data | 8.8h | Collecting |
| TechCrunch | news | 1 | 2 | 8% | 0.11 | 0% | 8.5h | Stable |
| Daring Fireball | commentary | 1 | 1 | ~18% | ~0.16 | ~0% | 5.0h | Low sample |
| Noahpinion | commentary | 1 | 1 | Collecting data | Collecting data | Collecting data | 10.1h | Collecting |
| Wired AI News | news | 1 | 1 | ~14% | ~0.15 | ~0% | 7.5h | Low sample |
| Bloomberg Markets | news | 0 | 10 | 2% | 0.02 | 0% | 6.2h | Stable |
| Bogleheads forum | news | 0 | 10 | 5% | 0.05 | 0% | 1.1h | Stable |
| MyFT | news | 0 | 10 | 6% | 0.05 | 0% | 4.0h | Stable |
| Reddit R/Bitcoin | news | 0 | 10 | ~7% | ~0.11 | ~0% | 8.0h | Low sample |
| Zero Hedge | commentary | 0 | 10 | 3% | 0.02 | 0% | 9.5h | Stable |
| Medium AI (keyword) | commentary | 0 | 8 | 7% | 0.11 | 0% | 0.9h | Stable |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.01 | 0% | 1.4h | Stable |
| India Times | news | 0 | 5 | 0% | 0.00 | 0% | 3.1h | Stable |
| The Atlantic | news | 0 | 4 | 11% | 0.13 | 0% | 8.3h | Stable |
| WSJ Social Economy | news | 0 | 3 | 4% | 0.01 | 0% | 5.3h | Stable |
| WSJ Tech | news | 0 | 3 | 6% | 0.08 | 0% | 7.7h | Stable |
| AI Daily Brief YT podcast | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.5h | Collecting |
| Ars Technica All Features | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.0h | Collecting |
| Economist: China | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.7h | Collecting |
| Economist: Sci & Tech | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.8h | Collecting |
| El Reg Offbeat | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.8h | Collecting |
| FT Alphaville | news | 0 | 1 | ~9% | ~0.11 | ~0% | 4.1h | Low sample |
| Reddit FuckAI | news | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~5% | ~0.05 | ~0% | 3.0h | Low sample |
Source: Guardian
Type: news
Included: 1
Scored: 10
28d Digest Rate: 9%
28d Avg Score: 0.18
28d Hotlist Hit: 0%
7d Article Age: 10.9h
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: 2.4d
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 8%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 0.9h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 1
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 7.6h
28d Confidence: Stable
Source: Reddit AntiAI
Type: news
Included: 1
Scored: 10
28d Digest Rate: 6%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 7.5h
28d Confidence: Stable
Source: Tom’s Hardware
Type: news
Included: 1
Scored: 10
28d Digest Rate: 9%
28d Avg Score: 0.20
28d Hotlist Hit: 0%
7d Article Age: 8.2h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 10
28d Digest Rate: 4%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 9.8h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 1
Scored: 5
28d Digest Rate: 12%
28d Avg Score: 0.18
28d Hotlist Hit: 0%
7d Article Age: 6.9h
28d Confidence: Stable
Source: Futurism
Type: news
Included: 1
Scored: 4
28d Digest Rate: 12%
28d Avg Score: 0.16
28d Hotlist Hit: 0%
7d Article Age: 6.2h
28d Confidence: Stable
Source: The Onion
Type: news
Included: 1
Scored: 3
28d Digest Rate: ~22%
28d Avg Score: ~0.50
28d Hotlist Hit: ~0%
7d Article Age: 7.1h
28d Confidence: Low sample
Source: Silver Bulletin
Type: commentary
Included: 1
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.8h
28d Confidence: Collecting
Source: TechCrunch
Type: news
Included: 1
Scored: 2
28d Digest Rate: 8%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 8.5h
28d Confidence: Stable
Source: Daring Fireball
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: ~18%
28d Avg Score: ~0.16
28d Hotlist Hit: ~0%
7d Article Age: 5.0h
28d Confidence: Low sample
Source: Noahpinion
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.1h
28d Confidence: Collecting
Source: Wired AI News
Type: news
Included: 1
Scored: 1
28d Digest Rate: ~14%
28d Avg Score: ~0.15
28d Hotlist Hit: ~0%
7d Article Age: 7.5h
28d Confidence: Low sample
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: 6.2h
28d Confidence: Stable
Source: Bogleheads forum
Type: news
Included: 0
Scored: 10
28d Digest Rate: 5%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 1.1h
28d Confidence: Stable
Source: MyFT
Type: news
Included: 0
Scored: 10
28d Digest Rate: 6%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 4.0h
28d Confidence: Stable
Source: Reddit R/Bitcoin
Type: news
Included: 0
Scored: 10
28d Digest Rate: ~7%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 8.0h
28d Confidence: Low sample
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: 9.5h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 8
28d Digest Rate: 7%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 0.9h
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: India Times
Type: news
Included: 0
Scored: 5
28d Digest Rate: 0%
28d Avg Score: 0.00
28d Hotlist Hit: 0%
7d Article Age: 3.1h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 0
Scored: 4
28d Digest Rate: 11%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 8.3h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 3
28d Digest Rate: 4%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 5.3h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 0
Scored: 3
28d Digest Rate: 6%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 7.7h
28d Confidence: Stable
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: 6.5h
28d Confidence: Collecting
Source: Ars Technica All Features
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.0h
28d Confidence: Collecting
Source: Economist: China
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.7h
28d Confidence: Collecting
Source: Economist: Sci & Tech
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.8h
28d Confidence: Collecting
Source: El Reg Offbeat
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.8h
28d Confidence: Collecting
Source: FT Alphaville
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~9%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 4.1h
28d Confidence: Low sample
Source: Reddit FuckAI
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: No recent data
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~5%
28d Avg Score: ~0.05
28d Hotlist Hit: ~0%
7d Article Age: 3.0h
28d Confidence: Low sample
Recounting experiences from the University of Sheffield in 2022, the author describes Harold, a campus tabby cat that frequented student halls of residence in search of food. Serving as a comforting presence for a first-year student adjusting to independent living, Harold became a well-known campus celebrity with a social media following and a role guarding the local shop.
Keywords: cat, University of Sheffield, pets, campus celebrity, animals
A shopper in Kuwait purchased a $30 PCIe expansion card at a flea market and discovered three Samsung 980 Pro 2TB SSDs hidden beneath an Asus Hyper M.2 heatsink. Each drive has an estimated value of $400 to $500, bringing the total value of the hidden SSDs to approximately $1,500.
Keywords: flea market, bargain hunter, Samsung SSD, Kuwait, lucky find
Huntington High School head football coach Michael McNeese expressed high confidence in a new, uninvited 15-year-old freshman player known as "Thunder Beef." Despite the player's unfamiliarity with the sport's rules and tendency to tackle players on both teams, McNeese appointed him as the starting running back and built the team's strategy around his performance.
Keywords: Thunder Beef, High School Football, Huntington High School, Humor, The Onion
California's population of 60,000 black bears is venturing far from their usual habitats in search of food and shelter, requiring humans to adapt.
Keywords: bears, Los Angeles, California wildlife, black bears
John Gruber discusses how Google and Apple updated their map applications to reflect U.S. government-mandated name changes for Lake Ontario and the Gulf of Mexico, using regional settings to display names like "Lake America" and "Gulf of America" to users in the United States. While Gruber argues that tech companies should only display these new names within the U.S. rather than internationally—similar to how regional boundaries are handled in other countries—he contends that directing anger at Apple and Google is misplaced, as geographic names are determined by the elected administration's official database. Additionally, the article touches upon reactions from commentators like Andy Ihnakto and Kara Swisher, comparisons to map policies in China, and reports regarding Wikipedia's stance on retaining traditional names.
Keywords: geographic names, democracy, lighter, lost map, whimsy
The article titled "Welcome to my world . . ." features an image and the brief statement, "Apparently, I Have Imaginary Friends Now."
Keywords: imaginary friends, personal story, whimsy, medium
Elon Musk engaged in an exchange on X with Chess.com after arguing that the number of sensible moves in chess is small and that the game will eventually be fully solved by computers. During the discussion, Musk reiterated his long-standing view that chess is overly simple and lacks utility in real life, citing conversations with his AI chatbot Grok and contrasting chess with mobile games like Polytopia.
Keywords: Elon Musk, Chess.com, chess, eccentric behavior
The author discusses the development and release of Whistle Synth, a free, open-source Mac application that turns whistling into music using an external microphone and headphones. The implementation heavily utilized AI tools like Claude for code refactoring, latency reduction (from 80ms to 5ms), stutter elimination, and the creation of new bass and treble voices, while Gemini was used to help brainstorm app icon concepts. The author also details the process of distributing the application through the Mac App Store, including navigating Apple's review and identity verification processes with the assistance of Claude.
Keywords: Whistle Synth, synthesizer, audio, music
Voice-centered software and accurate transcription tools are gaining popularity, leading to new methods for customer feedback. Startups like Voicebox allow users to scan a QR code or tap an NFC chip to record spoken feedback, which is then transcribed, analyzed for sentiment, and sent to companies. Voicebox has expanded its use cases from corporate settings to events and launched a directory to enable public crowd-spoken reviews from anywhere.
Keywords: customer feedback, Voicebox, voice notes, customer service, technology
At the Telluride Film Festival, audiences attended a secret, surprise premiere of a nearly three-hour documentary titled "You Can See Everything," directed by Nathan Fielder and Lance Oppenheim. According to the article, the film captures Theranos founder Elizabeth Holmes and her husband, Billy Evans, during the 34 days leading up to Holmes reporting to federal prison in May 2023 for wire fraud related to her blood-testing technology. Fielder reportedly lived in the couple's guest house during filming, and the documentary also features an A-list actress as part of the story. A24 has scheduled the film for an October release.
Keywords: Nathan Fielder, Lance Oppenheim, Elizabeth Holmes, Telluride Film Festival, Theranos, Documentary
Bentley is exploring how to balance the authentic driving experience of electric vehicles with artificial V8 engine sounds in its Torcal EV model.
Keywords: Bentley, Torcal EV, electric vehicles, luxury automotive, fake V8 sounds
The article outlines updates and methodology changes for the ELWAY and QBERT NFL forecasting models for 2026. Key improvements include refitting QBERT using data back to 2006 to better value pocket passers, attributing drops to wide receivers rather than quarterbacks, accounting for defensive pass interference yards, reducing touchdown value by 50 percent, removing game-script variables for quarterbacks, and regressing interception rates. ELWAY has also transitioned from efficiency per play to efficiency per drive, incorporated more detailed injury and trade tracking, updated its totals formula to account for heat and seasonal scoring trends, and applied a variance-reduction technique to forecasted game scores.
Keywords: ELWAY, Silver Bulletin, NFL forecasting, sports analytics
A Reddit post from the r/antiai community shares and comments on a link about an artificial intelligence user spending approximately 400 million tokens in a single day.
Keywords: AI, tokens, coding, tech culture
Munich faces allegations of running a cartel during the Oktoberfest season, a dispute that involves a prince.
Keywords: Oktoberfest, Munich, legal fight, cartel, prince
Despite widespread public and industry expectations that artificial intelligence will eliminate human jobs, aggregate labor market indicators and recent data suggest that AI has not caused widespread job losses. According to the article, automation and AI do not merely replace workers through displacement effects, but also boost productivity, enhance existing tasks, and create new jobs—ranging from data center and electrical infrastructure roles to specialized white-collar engineering positions. Citing various surveys, studies, and economic reports, the text notes that many companies adopting AI report stable or increased employment, and individual fears of job replacement have not correlated with actual job losses. Although certain occupations may eventually be automated, current evidence indicates that AI is currently creating or supporting as many jobs as it replaces.
Keywords: AI, jobs, Labor Day, employment, technology