Scored 206 articles from 151 feeds; 15 included in digest.
Run ID: run-1786607198015
Generated: August 13, 2026 at 03:50 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 |
|---|---|---|---|---|---|---|---|---|
| Guardian | news | 1 | 10 | 10% | 0.19 | 0% | 11.0h | Stable |
| Hacker News | commentary | 1 | 10 | 10% | 0.23 | 0% | 3.2d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 6% | 0.10 | 0% | 0.9h | Stable |
| MyFT | news | 1 | 10 | 6% | 0.05 | 0% | 7.8h | Stable |
| Reddit AntiAI | news | 1 | 10 | 8% | 0.11 | 0% | 8.1h | Stable |
| arXiv CompSci CL | research | 1 | 10 | ~6% | ~0.09 | ~0% | 3.8h | Low sample |
| Medium AI (keyword) | commentary | 1 | 9 | 6% | 0.10 | 0% | 0.8h | Stable |
| Ars Technical All News | news | 1 | 7 | 10% | 0.11 | 0% | 8.5h | Stable |
| Daring Fireball | commentary | 1 | 5 | ~17% | ~0.15 | ~0% | 7.9h | Low sample |
| The Atlantic | news | 1 | 5 | 11% | 0.10 | 0% | 8.2h | Stable |
| The Verge | news | 1 | 5 | 13% | 0.15 | 0% | 5.2h | Stable |
| TechCrunch | news | 1 | 4 | 10% | 0.10 | 0% | 7.5h | Stable |
| MIT Research General | research | 1 | 2 | Collecting data | Collecting data | Collecting data | 5.9h | Collecting |
| Atlas Obscura | commentary | 1 | 1 | 24% | 0.63 | 0% | 8.1h | Stable |
| Oddity Central | commentary | 1 | 1 | Collecting data | Collecting data | Collecting data | 12.8h | Collecting |
| Bloomberg Markets | news | 0 | 10 | 2% | 0.01 | 0% | 5.7h | Stable |
| Bogleheads forum | news | 0 | 10 | 4% | 0.05 | 0% | 1.0h | Stable |
| NYT front page | news | 0 | 10 | 7% | 0.06 | 0% | 6.8h | Stable |
| WSJ US Business | news | 0 | 10 | 5% | 0.05 | 0% | 9.8h | Stable |
| Zero Hedge | commentary | 0 | 10 | 3% | 0.02 | 0% | 9.1h | Stable |
| arXiv CompSci ML | research | 0 | 10 | ~9% | ~0.08 | ~0% | 3.8h | Low sample |
| Reddit R/Bitcoin | news | 0 | 7 | 7% | 0.08 | 0% | 15.8h | Stable |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.01 | 0% | 1.1h | Stable |
| India Times | news | 0 | 6 | 1% | 0.01 | 0% | 5.2h | Stable |
| WSJ Tech | news | 0 | 4 | 7% | 0.07 | 0% | 8.0h | Stable |
| AI Daily Brief YT podcast | commentary | 0 | 2 | Collecting data | Collecting data | Collecting data | 7.9h | Collecting |
| FT Alphaville | news | 0 | 2 | ~12% | ~0.11 | ~0% | 8.0h | Low sample |
| Outside Law School Scam - Comments | commentary | 0 | 2 | Collecting data | Collecting data | Collecting data | 19.6h | Collecting |
| WSJ Social Economy | news | 0 | 2 | 5% | 0.01 | 0% | 5.6h | Stable |
| Book Riot | commentary | 0 | 1 | 14% | 0.29 | 0% | 9.9h | Stable |
| CFTC General | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.6h | Collecting |
| Cassandra Unchained by Michael J Bury | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.7h | Collecting |
| Closing Line Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.5h | Collecting |
| Economist: Business | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 1.9d | Collecting |
| Economist: China | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.8h | Collecting |
| Economist: Leaders | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.2h | Collecting |
| Economist: United States | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.1h | Collecting |
| Futurism | news | 0 | 1 | 12% | 0.13 | 0% | 6.0h | Stable |
| Latent Space | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.7h | Collecting |
| MIT Sci, Tech & Society | research | 0 | 1 | Collecting data | Collecting data | Collecting data | 3.4h | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~7% | ~0.07 | ~0% | 4.4h | Low sample |
| Tom’s Hardware | news | 0 | 1 | 9% | 0.23 | 0% | 8.9h | Stable |
| Wired AI News | news | 0 | 1 | ~16% | ~0.15 | ~0% | 9.4h | Low sample |
| ZD Net | news | 0 | 1 | 10% | 0.12 | 0% | 7.1h | Stable |
Source: Guardian
Type: news
Included: 1
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.19
28d Hotlist Hit: 0%
7d Article Age: 11.0h
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: 3.2d
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: 0.9h
28d Confidence: Stable
Source: MyFT
Type: news
Included: 1
Scored: 10
28d Digest Rate: 6%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 7.8h
28d Confidence: Stable
Source: Reddit AntiAI
Type: news
Included: 1
Scored: 10
28d Digest Rate: 8%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 8.1h
28d Confidence: Stable
Source: arXiv CompSci CL
Type: research
Included: 1
Scored: 10
28d Digest Rate: ~6%
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: 9
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: 10%
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: 5
28d Digest Rate: ~17%
28d Avg Score: ~0.15
28d Hotlist Hit: ~0%
7d Article Age: 7.9h
28d Confidence: Low sample
Source: The Atlantic
Type: news
Included: 1
Scored: 5
28d Digest Rate: 11%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 8.2h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 1
Scored: 5
28d Digest Rate: 13%
28d Avg Score: 0.15
28d Hotlist Hit: 0%
7d Article Age: 5.2h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 1
Scored: 4
28d Digest Rate: 10%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 7.5h
28d Confidence: Stable
Source: MIT Research General
Type: research
Included: 1
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.9h
28d Confidence: Collecting
Source: Atlas Obscura
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: 24%
28d Avg Score: 0.63
28d Hotlist Hit: 0%
7d Article Age: 8.1h
28d Confidence: Stable
Source: Oddity Central
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 12.8h
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: 5.7h
28d Confidence: Stable
Source: Bogleheads forum
Type: news
Included: 0
Scored: 10
28d Digest Rate: 4%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 1.0h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 6.8h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 0
Scored: 10
28d Digest Rate: 5%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 9.8h
28d Confidence: Stable
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: 9.1h
28d Confidence: Stable
Source: arXiv CompSci ML
Type: research
Included: 0
Scored: 10
28d Digest Rate: ~9%
28d Avg Score: ~0.08
28d Hotlist Hit: ~0%
7d Article Age: 3.8h
28d Confidence: Low sample
Source: Reddit R/Bitcoin
Type: news
Included: 0
Scored: 7
28d Digest Rate: 7%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 15.8h
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: 1.1h
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: 5.2h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 0
Scored: 4
28d Digest Rate: 7%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
Source: AI Daily Brief YT podcast
Type: commentary
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.9h
28d Confidence: Collecting
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: 8.0h
28d Confidence: Low sample
Source: Outside Law School Scam - Comments
Type: commentary
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 19.6h
28d Confidence: Collecting
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 2
28d Digest Rate: 5%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 5.6h
28d Confidence: Stable
Source: Book Riot
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: 14%
28d Avg Score: 0.29
28d Hotlist Hit: 0%
7d Article Age: 9.9h
28d Confidence: Stable
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: 10.6h
28d Confidence: Collecting
Source: Cassandra Unchained by Michael J Bury
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 11.7h
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: 7.5h
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: 1.9d
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: 4.8h
28d Confidence: Collecting
Source: Economist: Leaders
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.2h
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: 6.1h
28d Confidence: Collecting
Source: Futurism
Type: news
Included: 0
Scored: 1
28d Digest Rate: 12%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 6.0h
28d Confidence: Stable
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 Sci, Tech & Society
Type: research
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.4h
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~7%
28d Avg Score: ~0.07
28d Hotlist Hit: ~0%
7d Article Age: 4.4h
28d Confidence: Low sample
Source: Tom’s Hardware
Type: news
Included: 0
Scored: 1
28d Digest Rate: 9%
28d Avg Score: 0.23
28d Hotlist Hit: 0%
7d Article Age: 8.9h
28d Confidence: Stable
Source: Wired AI News
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~16%
28d Avg Score: ~0.15
28d Hotlist Hit: ~0%
7d Article Age: 9.4h
28d Confidence: Low sample
Source: ZD Net
Type: news
Included: 0
Scored: 1
28d Digest Rate: 10%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 7.1h
28d Confidence: Stable
Chinese short drama actor Zhong Yufei recently spoke out on social media about being allegedly harassed on set by his co-star, who was also the sole investor and financial backer of the 50-episode series. According to the article, the wealthy woman conditioned her funding on playing the female lead and having final script control, which included greenlighting over sixty kissing scenes despite crew objections. The male lead reported being forcibly kissed during production, enduring the situation in hopes of a career breakthrough. The series was ultimately rejected by its intended streaming platform for being too explicit and violating regulations, prompting producer Meng Xing to publicly clarify that the investor made all creative decisions. The situation has since gone viral on Chinese social media, sparking discussions regarding harassment and the influence of capital on production sets.
Keywords: drama series, wealthy woman, vanity project, romance, China
An article titled "Mushroom behind 'tiny people' hallucinations identified" has been published, with a link to a discussion thread on Hacker News.
Keywords: mushroom, hallucinations, tiny people, fungi, science
A Reddit user on the r/antiai community invites questions in the comments, stating an intention to answer them from memory in order to replace AI tools like ChatGPT with human responses.
Keywords: Reddit, AI, human replacement, AMA
Google Design posted on X about a custom high-contrast completion animation in their goal-tracking sample app called "Achieve," which replaces the standard Material ripple effect to create a rewarding micro-interaction. The post drew critical commentary from users questioning the choice and quality of the design.
Keywords: Google Design, Twitter/X, social media, app design, internet culture
Oceanographic Magazine has announced the finalist selections for the Ocean Photographer of the Year competition, featuring coastal, drone, and underwater photographs chosen from thousands of submissions.
Keywords: Ocean Photographer of the Year, photography competition, oceanography, underwater photography
Millions of people across Europe, including tourists from around the world, gathered to watch a solar eclipse that traced an arc from Russia’s Arctic north across western Europe. Prime viewing locations offering totality included Greenland, Iceland, Portugal, and Spain, where crowds filled cities, rural towns, and parks. Activities surrounding the event included a music festival hosted by Björk in Iceland, scientific observations by Nasa and local researchers, livestreamed flights, and impromptu gatherings in locations such as London and Madrid.
Keywords: solar eclipse, Europe, astronomy, festival, nature
An article from MyFT's Work & Careers section discusses the meaning behind out-of-office messages, describing them as an email translator for the summer holidays.
Keywords: out-of-office, email translator, summer holidays, work and careers, automated messages
Designers Isaque Seneda and Gabriel Abrucio have introduced a new font called ShieldFont to protect web pages from unauthorized AI scraping. The font uses ligatures to display readable text to end users while serving altered, nonsensical words in the underlying HTML that scrapers download.
Keywords: ShieldFont, AI scrapers, AI training data, typography
An outage affecting Petlibro smart devices, which began on Tuesday, has prevented connected pet feeders, litter boxes, and water fountains from performing scheduled tasks like dispensing food.
Keywords: Petlibro, smart feeder, pet technology, outage, cats and dogs
The author discusses shipping a new service featuring comprehensive documentation, noting that despite its high quality compared to previous work, it remains unread.
Keywords: software development, documentation, programming, tech humor
Located on a small island in Mahón Harbour, Spain, the Lazareto of Menorca is a 19th-century maritime quarantine station built to isolate ships, passengers, and cargo from disease-affected ports. Designed as a self-contained complex featuring high walls, hospitals, chapels, warehouses, and living quarters, the site kept hundreds of people isolated for weeks to prevent the spread of epidemics like plague, cholera, and yellow fever. Today, the well-preserved complex is open to visitors.
Keywords: Lazareto de Menorca, Es Castell, Spain, quarantine station, Mahón Harbour, history
This research paper introduces a framework for evaluating large language model (LLM) decision-making in strategic interactions when agents are provided with graded similarity signals. The study finds that LLM models vary significantly in how they navigate similarity signals, that the dataset used to compute the similarity signal has little to no impact on induced cooperation, and that models systematically self-identify as highly similar when evaluating another model's chain-of-thought reasoning. Additionally, the authors develop an LLM-behavioral-game-theoretic model that captures aspects of their reasoning and supports cooperative outcomes in equilibrium under sufficiently high similarity scores.
Keywords: Large Language Models, AI cooperation, Game theory, Prisoner's Dilemma, Artificial Intelligence research
Northrop Grumman's Mission Extension Vehicle (MEV) has unplugged from an Optus communications satellite after more than a year of keeping it in position, making way for a newer generation of servicing technology. Northrop recently launched four new spacecraft on a SpaceX Falcon 9 rocket, including a DARPA-developed Mission Robotic Vehicle (MRV) equipped with robotic arms and three smaller Mission Extension Pods (MEPs). Scheduled for 2027, the MRV will attach an MEP to the Optus satellite to extend its operational lifespan. This initiative builds on Northrop's previous MEV missions aimed at keeping fuel-depleted satellites operational longer, with the MRV model designed to service multiple vehicles using detachable propulsion pods and in-orbit refueling capabilities.
Keywords: Northrop, Mission Robotic Vehicle, satellites, space technology, thruster
This article, titled "The UGC Actor Search That Keeps Finding the Wrong Person," serves as a guide on defining user-generated content (UGC) actors to prevent a project brief from turning into an unintended casting call.
Keywords: UGC actors, casting call, marketing, content creation
Researchers from MIT, Idaho National Laboratory, and Brookhaven National Laboratory conducted a detailed three-dimensional study of irradiated U-10Zr metallic nuclear fuel using high-energy synchrotron X-ray computed tomography. By analyzing samples from the historic Fast Flux Testing Facility reactor, the team uncovered a hidden, complex network of pores and mapped how porosity, chemistry, and fuel-cladding interactions evolve across the fuel radius. The findings revealed that pore density increases significantly near the fuel edge by the cladding, and that local uranium- or zirconium-rich environments impact pore morphology. These insights into how pores influence thermal performance, material migration, and fuel swelling could help improve models, optimize current metallic fuels for sodium-cooled fast reactors, and inform the design of next-generation nuclear reactor fuel systems.
Keywords: nuclear fuel, pore network, nuclear reactor, research