Scored 217 articles from 151 feeds; 15 included in digest.
Run ID: run-1789113162633
Generated: September 11, 2026 at 03:56 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% | 1.0h | Stable |
| Guardian | news | 1 | 10 | 9% | 0.18 | 0% | 10.8h | Stable |
| Hacker News | commentary | 1 | 10 | 10% | 0.24 | 0% | 2.4d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 8% | 0.12 | 0% | 0.8h | Stable |
| NYT front page | news | 1 | 10 | 8% | 0.07 | 0% | 8.2h | Stable |
| Reddit AntiAI | news | 1 | 10 | 7% | 0.11 | 0% | 7.9h | Stable |
| arXiv CompSci CL | research | 1 | 10 | ~6% | ~0.10 | ~0% | 3.9h | Low sample |
| arXiv CompSci ML | research | 1 | 10 | ~8% | ~0.09 | ~0% | 3.9h | Low sample |
| Ars Technical All News | news | 1 | 8 | 13% | 0.14 | 0% | 8.8h | Stable |
| TechCrunch | news | 1 | 7 | 8% | 0.10 | 0% | 7.5h | Stable |
| The Atlantic | news | 1 | 6 | 11% | 0.13 | 0% | 8.3h | Stable |
| The Onion | news | 1 | 4 | ~23% | ~0.49 | ~0% | 7.0h | Low sample |
| Outside Law School Scam - Comments | commentary | 1 | 3 | ~11% | ~0.06 | ~0% | 1.3d | Low sample |
| Tom’s Hardware | news | 1 | 2 | 9% | 0.21 | 0% | 8.5h | Stable |
| Cassandra Unchained by Michael J Bury | commentary | 1 | 1 | Collecting data | Collecting data | Collecting data | 5.6h | Collecting |
| Bloomberg Markets | news | 0 | 10 | 2% | 0.02 | 0% | 6.8h | Stable |
| MyFT | news | 0 | 10 | 6% | 0.05 | 0% | 3.9h | Stable |
| Reddit BetterOffline | news | 0 | 10 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Reddit R/FuturesTrading | news | 0 | 10 | ~0% | ~0.00 | ~0% | 22.3h | Low sample |
| Zero Hedge | commentary | 0 | 10 | 3% | 0.01 | 0% | 9.7h | Stable |
| Medium AI (keyword) | commentary | 0 | 9 | 8% | 0.11 | 0% | 0.8h | Stable |
| WSJ US Business | news | 0 | 9 | 5% | 0.05 | 0% | 9.5h | Stable |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.01 | 0% | 1.5h | Stable |
| India Times | news | 0 | 6 | 0% | 0.00 | 0% | 7.4h | Stable |
| WSJ Tech | news | 0 | 6 | 6% | 0.07 | 0% | 7.7h | Stable |
| WSJ Social Economy | news | 0 | 3 | 4% | 0.01 | 0% | 5.9h | Stable |
| FT Alphaville | news | 0 | 2 | ~13% | ~0.11 | ~0% | 4.0h | Low sample |
| The Verge | news | 0 | 2 | 13% | 0.19 | 0% | 7.8h | Stable |
| Wired AI News | news | 0 | 2 | ~14% | ~0.14 | ~0% | 9.3h | Low sample |
| CFTC General | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Closing Line Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.4h | Collecting |
| Daring Fireball | commentary | 0 | 1 | ~19% | ~0.16 | ~0% | 7.9h | Low sample |
| Economist: United States | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.4h | Collecting |
| FDIC | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.0h | Collecting |
| FRB Press Releases | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.0h | Collecting |
| Futurism | news | 0 | 1 | 13% | 0.18 | 0% | 6.8h | Stable |
| Reddit R/Ethereum | news | 0 | 1 | ~6% | ~0.06 | ~0% | 3.5h | Low sample |
| SEC Press Releases | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.5h | Collecting |
| a16z | other | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.0h | 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: 1.0h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 1
Scored: 10
28d Digest Rate: 9%
28d Avg Score: 0.18
28d Hotlist Hit: 0%
7d Article Age: 10.8h
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: 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: 0.8h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 1
Scored: 10
28d Digest Rate: 8%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 8.2h
28d Confidence: Stable
Source: Reddit AntiAI
Type: news
Included: 1
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 7.9h
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: arXiv CompSci ML
Type: research
Included: 1
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: Ars Technical All News
Type: news
Included: 1
Scored: 8
28d Digest Rate: 13%
28d Avg Score: 0.14
28d Hotlist Hit: 0%
7d Article Age: 8.8h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 1
Scored: 7
28d Digest Rate: 8%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 7.5h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 1
Scored: 6
28d Digest Rate: 11%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 8.3h
28d Confidence: Stable
Source: The Onion
Type: news
Included: 1
Scored: 4
28d Digest Rate: ~23%
28d Avg Score: ~0.49
28d Hotlist Hit: ~0%
7d Article Age: 7.0h
28d Confidence: Low sample
Source: Outside Law School Scam - Comments
Type: commentary
Included: 1
Scored: 3
28d Digest Rate: ~11%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 1.3d
28d Confidence: Low sample
Source: Tom’s Hardware
Type: news
Included: 1
Scored: 2
28d Digest Rate: 9%
28d Avg Score: 0.21
28d Hotlist Hit: 0%
7d Article Age: 8.5h
28d Confidence: Stable
Source: Cassandra Unchained by Michael J Bury
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.6h
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: 6.8h
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: 3.9h
28d Confidence: Stable
Source: Reddit BetterOffline
Type: news
Included: 0
Scored: 10
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/FuturesTrading
Type: news
Included: 0
Scored: 10
28d Digest Rate: ~0%
28d Avg Score: ~0.00
28d Hotlist Hit: ~0%
7d Article Age: 22.3h
28d Confidence: Low sample
Source: Zero Hedge
Type: commentary
Included: 0
Scored: 10
28d Digest Rate: 3%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 9.7h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 9
28d Digest Rate: 8%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 0
Scored: 9
28d Digest Rate: 5%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 9.5h
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: 1.5h
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: 7.4h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 0
Scored: 6
28d Digest Rate: 6%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 7.7h
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: 5.9h
28d Confidence: Stable
Source: FT Alphaville
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~13%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 4.0h
28d Confidence: Low sample
Source: The Verge
Type: news
Included: 0
Scored: 2
28d Digest Rate: 13%
28d Avg Score: 0.19
28d Hotlist Hit: 0%
7d Article Age: 7.8h
28d Confidence: Stable
Source: Wired AI News
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~14%
28d Avg Score: ~0.14
28d Hotlist Hit: ~0%
7d Article Age: 9.3h
28d Confidence: Low sample
Source: CFTC General
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: No recent data
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: 11.4h
28d Confidence: Collecting
Source: Daring Fireball
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: ~19%
28d Avg Score: ~0.16
28d Hotlist Hit: ~0%
7d Article Age: 7.9h
28d Confidence: Low sample
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: 10.4h
28d Confidence: Collecting
Source: FDIC
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: 6.0h
28d Confidence: Collecting
Source: FRB Press Releases
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: 5.0h
28d Confidence: Collecting
Source: Futurism
Type: news
Included: 0
Scored: 1
28d Digest Rate: 13%
28d Avg Score: 0.18
28d Hotlist Hit: 0%
7d Article Age: 6.8h
28d Confidence: Stable
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~6%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 3.5h
28d Confidence: Low sample
Source: SEC Press Releases
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: 11.5h
28d Confidence: Collecting
Source: a16z
Type: other
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.0h
28d Confidence: Collecting
The provided text contains a list of satirical headlines published by The Onion, including items such as "Bacon Added," "New Study Finds 81 Percent Of Starbucks Patrons Silently Judging Each Other For Being There," "Grandma Just Called To Talk About 1956," and "Badly Cast Political Ad Features Bus Driver, Construction Worker, Bus Driver, Bus Driver, Bus Driver."
Keywords: Kiss Cam, Satire, Sports Stadium, Humor, The Onion
Paul Campos has published a guide titled "Is Your Law School Going Broke?", concluding that all but roughly a dozen ABA-accredited law schools face substantial financial peril. Analyzing data from 184 schools, Campos estimates that 14 are at low risk, 29 at moderate risk, 66 at high risk, and 75 at severe risk of financial difficulties that could lead to restructuring or closure. His analysis examines effective tuition per faculty member—peaked at an approximate operational need of $700k—endowment sizes, and tuition changes between 2010–11 and 2024–25, which declined by an average of 33%. The findings highlight that many institutions, including various state flagships and sub-elite schools, run significant deficits subsidized by their parent universities. Additional pressures include new federal student loan caps for professional programs, while potential cost-saving measures discussed include abandoning the pursuit of US News rankings and the associated tuition discounts used to attract high-scoring applicants. Some schools are also attempting to sustain themselves by shifting focus away from traditional JDs toward non-JD programs and students.
Keywords: law school, humor, jokes, higher education
The author asked Claude Code to evaluate their over-engineered homelab. According to the article snippet, the AI complimented the architecture, inspected the evidence, and diagnosed a screwdriver problem.
Keywords: Claude Code, homelab, artificial intelligence, over-engineered, tech humor
The roofless concrete ruins of the historic Royal Hotel in the Tasmanian ghost town of Linda have been sold sight unseen for $300,000 to a Perth chef and his partner. Originally built in timber in 1901, rebuilt in concrete after a 1910 fire, and abandoned in 1952, the property includes the abandoned hotel and an adjacent building equipped with a commercial kitchen, living room, and bedrooms. The new owners plan to explore opening an eatery in the adjacent building, while local officials and tourism representatives note the region's growing adventure tourism and the property's role in connecting visitors to the area's history.
Keywords: Tasmania, Royal Hotel, ghost town, sight unseen purchase, tourism
The author shares an anecdote inspired by a social media post about the value of keeping a "Big Box of Cables." After successfully finding a cable needed after ten years, the author printed the post and taped it to their own cable box—labeled "FAMILY TECHNO BOX"—as a reminder of the box's utility and a warning against discarding its contents.
Keywords: cables, hoarding, gadgets, nostalgia, electronics
Toyohiro Akiyama, a journalist and the first Japanese person in space who joined a Soviet crew in 1990 as part of a $35 million ratings stunt, has died at the age of 84.
Keywords: Toyohiro Akiyama, space travel, Japan, journalist, obituary
A physicist analyzes Star Trek's "Picard maneuver" from Next Generation, concluding that the trick would be even more effective in real life.
Keywords: Star Trek, Picard maneuver, Physics, Science Fiction
This research article investigates whether Vision-Language Models (VLMs) understand visual persuasiveness by evaluating their ability to assess if images support intended messages in comparison to human judgments. Using empirical analyses on image-message pairs, the authors find that VLMs display a recall-oriented bias, tending to over-predict images as persuasive while generating false positives by treating persuasion-relevant cues as sufficient evidence. To quantify these visual cues, the study introduces a taxonomy called Visual Persuasive Factors (VPFs) informed by cognitive psychology. The factor-level analysis demonstrates that while VPFs distinguish human judgments, VLMs only partially reproduce these patterns. Furthermore, the evaluation of VPF-guided interventions shows that properly framed VPF knowledge improves model performance, whereas merely specifying visual cues or applying step-by-step reasoning is insufficient due to a central reasoning bottleneck in connecting object identification to semantic message alignment.
Keywords: Vision-Language Models, visual persuasiveness, artificial intelligence, cognitive psychology
This research paper investigates the phenomenon of grokking, where neural networks trained past the point of memorization experience a delayed transition to generalization. The authors map the memorization-to-generalization boundary using 384 configurations of two-hidden-layer multilayer perceptrons (MLPs) on modular arithmetic tasks. They fit a power-law scaling relation for the generalization onset time (Tgrok proportional to H^-0.27 D^-2.04 eta^-0.50 lambda^-0.64), which shows that data complexity (D^-2.04) is the primary driver of the transition rather than model capacity (H^-0.27). Additionally, the findings identify a sharp phase boundary at a weight decay of lambda >= 1.0 that separates grokking from non-grokking configurations, and observe monotonic compression in weight norm trajectories during the transition.
Keywords: grokking, neural networks, machine learning, scaling laws, generalization
Industrial battery storage software startup Furo, founded by three 28-year-old German entrepreneurs, has experienced business growth and secured $4 million in funding from U.S. backers after leaving Silicon Valley to return to Germany. Operating as a Delaware C Corp., the company maintains ties to the U.S. through its investors and regular visits, while benefiting from proximity to European customers, lower engineering costs, and access to local technical talent and university networks in Germany.
Keywords: Furo, startup, funding, Silicon Valley, Germany, energy
Nintendo of America is using tariff refunds to fund a 30% off sale on games and accessories, rather than returning the money directly to customers.
Keywords: Nintendo, tariff refunds, sale, video games, customer appreciation
The article discusses the potential risks that future advancements in AI and quantum computing pose to digital assets, banking, and fiat currencies like the U.S. dollar, suggesting that investors look toward tangible hard assets such as bonded fine wine as a hedge. The author outlines an investment thesis centered on the current downturn in the fine wine market, the opportunity for physical assets to weather technological and monetary shifts, and the potential for fine wine stored in bonded warehouses to serve as a global currency hedge.
Keywords: First Growth Bordeaux, Shorting the Dollar, Wine, Finance
A Reddit user named WisegirlMylene shared a post in the r/antiai community featuring an image link and expressing amusement at a reply to a comment.
Keywords: Reddit, humor, internet culture, funny reply
Drawing on a 1903 essay from The Atlantic by Arthur Stanwood Pier, the article explores the historical perception of tennis compared to more violent sports like football. While turn-of-the-century cultural attitudes favored football for cultivating martial virtues and physical toughness through danger and injury, Pier argued that tennis offered its own rigorous physical, intellectual, and psychological challenges without the destructive perils, fostering strength, gentlemanly behavior, and peace rather than war. Modern high-intensity matches, such as those at the U.S. Open, reflect a faster and more athletic game while retaining the complex coordination and pleasure that Pier celebrated.
Keywords: tennis, sports history, athleticism
A forum user on the Bogleheads forum recommends the movie "Fuze" on HBO Max, noting its Rotten Tomatoes scores and sharing a synopsis describing a heist that takes place during a citywide evacuation caused by an unexploded World War II bomb found at a construction site.
Keywords: Fuze, HBO Max, movie, heist, World War II bomb