Scored 198 articles from 151 feeds; 15 included in digest.
Run ID: run-1787039162791
Generated: August 18, 2026 at 03:49 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% | 1.1h | Stable |
| Guardian | news | 1 | 10 | 10% | 0.20 | 0% | 10.9h | Stable |
| Hacker News | commentary | 1 | 10 | 10% | 0.24 | 0% | 3.0d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 6% | 0.10 | 0% | 0.8h | Stable |
| Reddit AntiAI | news | 1 | 10 | 8% | 0.12 | 0% | 8.1h | Stable |
| arXiv CompSci ML | research | 1 | 10 | ~9% | ~0.09 | ~0% | 3.8h | Low sample |
| Medium AI (keyword) | commentary | 1 | 8 | 6% | 0.10 | 0% | 0.8h | Stable |
| Ars Technical All News | news | 1 | 7 | 11% | 0.12 | 0% | 8.0h | Stable |
| TechCrunch | news | 1 | 5 | 10% | 0.11 | 0% | 7.9h | Stable |
| Daring Fireball | commentary | 1 | 4 | ~16% | ~0.16 | ~0% | 5.2h | Low sample |
| WSJ Tech | news | 1 | 3 | 8% | 0.08 | 0% | 8.0h | Stable |
| Atlas Obscura | commentary | 1 | 2 | 30% | 0.66 | 0% | 11.7h | Stable |
| Futurism | news | 1 | 2 | 12% | 0.14 | 0% | 5.7h | Stable |
| MIT Research General | research | 1 | 1 | Collecting data | Collecting data | Collecting data | 6.3h | Collecting |
| a16z | other | 1 | 1 | Collecting data | Collecting data | Collecting data | 5.8h | Collecting |
| Bloomberg Markets | news | 0 | 10 | 3% | 0.02 | 0% | 5.6h | Stable |
| MyFT | news | 0 | 10 | 6% | 0.05 | 0% | 5.1h | Stable |
| NYT front page | news | 0 | 10 | 7% | 0.07 | 0% | 8.8h | Stable |
| Reddit R/FuturesTrading | news | 0 | 10 | ~4% | ~0.01 | ~0% | 9.9h | Low sample |
| Zero Hedge | commentary | 0 | 10 | 3% | 0.02 | 0% | 9.6h | Stable |
| arXiv CompSci CL | research | 0 | 10 | ~7% | ~0.10 | ~0% | 3.8h | Low sample |
| WSJ US Business | news | 0 | 9 | 5% | 0.06 | 0% | 10.0h | Stable |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.01 | 0% | 1.2h | Stable |
| India Times | news | 0 | 6 | 1% | 0.01 | 0% | 3.7h | Stable |
| Outside Law School Scam - Comments | commentary | 0 | 3 | Collecting data | Collecting data | Collecting data | 21.4h | Collecting |
| The Verge | news | 0 | 3 | 12% | 0.15 | 0% | 7.6h | Stable |
| FT Alphaville | news | 0 | 2 | ~12% | ~0.11 | ~0% | 3.9h | Low sample |
| The Atlantic | news | 0 | 2 | 11% | 0.10 | 0% | 9.0h | Stable |
| Venture Beat | commentary | 0 | 2 | ~0% | ~0.03 | ~0% | 8.8h | Low sample |
| Closing Line Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.7h | Collecting |
| Economist: United States | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.0h | Collecting |
| Hugging Face | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.4h | Collecting |
| Latent Space | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.7h | Collecting |
| MIT AI Research | research | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| MIT Business Research | research | 0 | 1 | Collecting data | Collecting data | Collecting data | 2.2h | Collecting |
| Noahpinion | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.6h | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~8% | ~0.07 | ~0% | 2.8h | Low sample |
| The Onion | news | 0 | 1 | 18% | 0.47 | 1% | 6.9h | Stable |
| WSJ Social Economy | news | 0 | 1 | 5% | 0.01 | 0% | 5.5h | Stable |
| ZD Net | news | 0 | 1 | 8% | 0.12 | 0% | 6.4h | Stable |
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: 1.1h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 1
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.20
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: 0.24
28d Hotlist Hit: 0%
7d Article Age: 3.0d
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 6%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Reddit AntiAI
Type: news
Included: 1
Scored: 10
28d Digest Rate: 8%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 8.1h
28d Confidence: Stable
Source: arXiv CompSci ML
Type: research
Included: 1
Scored: 10
28d Digest Rate: ~9%
28d Avg Score: ~0.09
28d Hotlist Hit: ~0%
7d Article Age: 3.8h
28d Confidence: Low sample
Source: Medium AI (keyword)
Type: commentary
Included: 1
Scored: 8
28d Digest Rate: 6%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Ars Technical All News
Type: news
Included: 1
Scored: 7
28d Digest Rate: 11%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 1
Scored: 5
28d Digest Rate: 10%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 7.9h
28d Confidence: Stable
Source: Daring Fireball
Type: commentary
Included: 1
Scored: 4
28d Digest Rate: ~16%
28d Avg Score: ~0.16
28d Hotlist Hit: ~0%
7d Article Age: 5.2h
28d Confidence: Low sample
Source: WSJ Tech
Type: news
Included: 1
Scored: 3
28d Digest Rate: 8%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
Source: Atlas Obscura
Type: commentary
Included: 1
Scored: 2
28d Digest Rate: 30%
28d Avg Score: 0.66
28d Hotlist Hit: 0%
7d Article Age: 11.7h
28d Confidence: Stable
Source: Futurism
Type: news
Included: 1
Scored: 2
28d Digest Rate: 12%
28d Avg Score: 0.14
28d Hotlist Hit: 0%
7d Article Age: 5.7h
28d Confidence: Stable
Source: MIT Research General
Type: research
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.3h
28d Confidence: Collecting
Source: a16z
Type: other
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.8h
28d Confidence: Collecting
Source: Bloomberg Markets
Type: news
Included: 0
Scored: 10
28d Digest Rate: 3%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 5.6h
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: 5.1h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 8.8h
28d Confidence: Stable
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 10
28d Digest Rate: ~4%
28d Avg Score: ~0.01
28d Hotlist Hit: ~0%
7d Article Age: 9.9h
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: 9.6h
28d Confidence: Stable
Source: arXiv CompSci CL
Type: research
Included: 0
Scored: 10
28d Digest Rate: ~7%
28d Avg Score: ~0.10
28d Hotlist Hit: ~0%
7d Article Age: 3.8h
28d Confidence: Low sample
Source: WSJ US Business
Type: news
Included: 0
Scored: 9
28d Digest Rate: 5%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 10.0h
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: 1.2h
28d Confidence: Stable
Source: India Times
Type: news
Included: 0
Scored: 6
28d Digest Rate: 1%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 3.7h
28d Confidence: Stable
Source: Outside Law School Scam - Comments
Type: commentary
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 21.4h
28d Confidence: Collecting
Source: The Verge
Type: news
Included: 0
Scored: 3
28d Digest Rate: 12%
28d Avg Score: 0.15
28d Hotlist Hit: 0%
7d Article Age: 7.6h
28d Confidence: Stable
Source: FT Alphaville
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~12%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 3.9h
28d Confidence: Low sample
Source: The Atlantic
Type: news
Included: 0
Scored: 2
28d Digest Rate: 11%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 9.0h
28d Confidence: Stable
Source: Venture Beat
Type: commentary
Included: 0
Scored: 2
28d Digest Rate: ~0%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 8.8h
28d Confidence: Low sample
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: 6.7h
28d Confidence: Collecting
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: 9.0h
28d Confidence: Collecting
Source: Hugging Face
Type: commentary
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: 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: 5.7h
28d Confidence: Collecting
Source: MIT AI Research
Type: research
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: MIT Business Research
Type: research
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 2.2h
28d Confidence: Collecting
Source: Noahpinion
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 11.6h
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~8%
28d Avg Score: ~0.07
28d Hotlist Hit: ~0%
7d Article Age: 2.8h
28d Confidence: Low sample
Source: The Onion
Type: news
Included: 0
Scored: 1
28d Digest Rate: 18%
28d Avg Score: 0.47
28d Hotlist Hit: 1%
7d Article Age: 6.9h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 1
28d Digest Rate: 5%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 5.5h
28d Confidence: Stable
Source: ZD Net
Type: news
Included: 0
Scored: 1
28d Digest Rate: 8%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 6.4h
28d Confidence: Stable
The article highlights 15 global locations to experience bioluminescence, showcasing various glowing organisms such as glowworms, fireflies, phytoplankton, algae, squid, and bacteria. The featured destinations include caves, tunnels, bays, and forests across countries like New Zealand, Australia, the Maldives, the United States, Japan, Jamaica, the Cayman Islands, and Somalia, along with the recommended best times of year to visit each site.
Keywords: bioluminescence, glowworms, fireflies, travel, nature, folklore
A forum participant discusses their experience using Foster Grant SolarShields wrap-around sunglasses that fit over regular glasses. While the sunglasses work well during the day, the user notes that low-angle sunlight during early morning walks in the South can reflect off the inside of the lenses when walking away from the sun. To block light from the rear or front, the user wears a baseball cap turned accordingly, though this causes sweat to build up and run down their face.
Keywords: sunglasses, morning walks, baseball cap, sunlight reflection, forum post
The macOS 26.7 Tahoe release candidate contains a video and references regarding unreleased, camera-equipped AirPods codenamed B790. According to the discovered demo and related files, the camera integrates with Visual Intelligence and Siri to answer questions about the wearer's surroundings, save items for later, and alert users if the AirPods are covered by hair. Reports suggest the product could potentially launch as soon as September.
Keywords: MacOS Tahoe, AirPods, Apple, leak, cameras
An internet outage affecting Petlibro smart pet feeders caused devices to miss scheduled feedings, leaving some cats without food and alarming owners who were away from home. Although Petlibro CEO York Wu stated that scheduled feedings should have run locally without an internet connection, he acknowledged that some devices did not function as expected. Disgruntled users criticized the company's response as inadequate public relations statements that downplayed the severity of the situation.
Keywords: pet feeders, cats, technology outage, internet-connected devices, pets
A Reddit post on the r/antiai subreddit suggests that a time will soon arrive when people ask prospective dating partners whether they use artificial intelligence as a way to evaluate them, and stating that one does not use AI at all will be considered appealing.
Keywords: dating, artificial intelligence, relationships, social trends
The author traveled to north-central Spain to observe a total solar eclipse in August 2026, following previous viewing experiences in the United States in 2017 and 2024. Set against the backdrop of Spain's ongoing drought, which provided ideal viewing conditions with clear skies, the trip highlighted the mechanics of the Solar System and the phenomenon of totality. The article also offers practical advice for eclipse chasers, including the importance of having multiple backup plans to avoid cloud cover, preparing for traffic and crowds, and using safe viewing glasses.
Keywords: solar eclipse, Spain, Madrid, astronomy, Moon
Researchers in H. Robert Horvitz's lab at MIT studying the roundworm C. elegans have discovered that the protein complex cohesin is critical for establishing the identities of specific neurons during development. Published in Science Advances on July 31, the study found that cohesin acts as a molecular switch, cooperating with the gene-regulating protein EOR-1 to direct certain cells to become GABA-producing neurons rather than adrenergic neurons. Mutations that disrupt cohesin result in excess adrenergic neurons and severe developmental defects in the worms. Because cohesin and many genes are evolutionarily conserved between worms and humans, these findings may help researchers understand Cornelia de Lange syndrome—a rare human developmental disorder caused by cohesin mutations—and potentially identify therapeutic targets.
Keywords: DNA, nervous system, worms, protein, genetics, neurons
The author conducted a social experiment by creating a fake AI influencer named Janie and entering her into the University of Alabama's sorority rush (Bama Rush) on TikTok. Generated using ChatGPT, Minimax, Grok, and ElevenLabs, Janie quickly gained thousands of followers and media attention, while viewers eventually identified her as artificial through visual errors. After the author revealed the account was AI-generated, the audience remained engaged in the narrative. The author reflects on the evolution of AI video generation, the role of disclosure, and how audiences interact with artificial creators.
Keywords: AI, Content Creators, Artificial Intelligence, Media
An article on Medium discusses selecting a gaming laptop for GTA 6, highlighting one specific laptop that survived the author's purchasing spree.
Keywords: Gaming Laptop, GTA 6, Tech, Video Games
The article details the historical development leading up to the release of MS-DOS 2.0, tracing Microsoft's early efforts with UNIX-based XENIX and the subsequent acquisition and adaptation of 86-DOS as PC-DOS and MS-DOS for IBM personal computers. It describes the shift in Microsoft's strategy away from the unrealized XEDOS pyramid structure toward expanding MS-DOS, driven largely by Paul Allen's vision for a major rewrite despite initial resistance from IBM and Bill Gates. Developed by a six-person team without the original MS-DOS 1.0 creators, MS-DOS 2.0 introduced significant new features—such as a hierarchical FAT file system, dynamically loadable device drivers, limited background print spooling, and various XENIX-inspired utilities—before shipping alongside the IBM PC XT on March 8, 1983.
Keywords: MS-DOS 2.0, software history, operating system, technology
This Wall Street Journal opinion piece discusses how artificial intelligence can enhance thinking and improve writing when users understand how to properly delegate tasks to the machine while retaining personal control.
Keywords: AI, writing, technology, opinion, productivity
Researchers analyzed the population structure of 781 individuals on Norfolk Island, including descendants of the Bounty mutineers, using quantitative shape phenotyping from stereo retinal photographs. By applying a multi-scale stereo matching algorithm and a deep neural network, three-dimensional optic nerve head shapes were reconstructed and decomposed into hierarchical features via self-taught learning. These features were used to identify the two populations, evaluate prediction accuracy through stratified cross-validation, and group individuals into hierarchical clusters for $k=2$ through $7$. This image-based phenotypic analysis enables heritability and linkage analysis, accounting for founder effects from English and Polynesian ancestors, which may assist in identifying new genetic risk factors for glaucoma and other optic nerve head-related eye diseases.
Keywords: Norfolk Island, Mutineers of the Bounty, retinal photographs, genetics, optic nerve head, population structure
Spotify has launched "Playlist Notes," a feature that allows users to add personal thoughts and context to songs, podcast episodes, and audiobooks within playlists they own or collaborate on. Building on the previous month's "User Notes" for individual tracks, the new feature is rolling out on iOS and Android in over 100 markets. Additionally, Spotify is introducing editor notes and Editor Profiles on major editorial playlists like Today's Top Hits and RapCaviar for users aged 16 and older in select English-speaking countries, providing insight into the curators behind the music.
Keywords: Spotify, Playlist Notes, music, streaming, feature
At the Cincinnati Open, British 32nd seed Arthur Fery gave fifth seed Alex de Minaur a stern test before losing 7-5, 7-6 (3) in the third round following multiple rain delays. Despite the defeat, Fery concluded a strong tournament week with valuable experience, having reached the Masters 1000 third round and earned $36,110. Additionally, the article notes other tournament results, including Iga Swiatek defeating Maria Sakkari and Elena Rybakina beating Magdalena Frech, as well as Fery's recent selection to the Great Britain Davis Cup team.
Keywords: Arthur Fery, Alex de Minaur, Cincinnati Open, tennis
The article discusses how adding the words "Limited Edition" to a product changes consumer perception.
Keywords: limited edition, consumer psychology, marketing, retail