Scored 197 articles from 151 feeds; 15 included in digest.
Run ID: run-1787125645153
Generated: August 19, 2026 at 03:51 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 | 10% | 0.21 | 0% | 10.9h | Stable |
| Hacker News | commentary | 1 | 10 | 10% | 0.24 | 0% | 2.3d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 6% | 0.10 | 0% | 0.8h | Stable |
| MyFT | news | 1 | 10 | 6% | 0.05 | 0% | 5.1h | Stable |
| Reddit AI Wars | news | 1 | 10 | Collecting data | Collecting data | Collecting data | 15.1h | Collecting |
| Reddit AntiAI | news | 1 | 10 | 8% | 0.12 | 0% | 8.1h | Stable |
| arXiv CompSci CL | research | 1 | 10 | ~6% | ~0.10 | ~0% | 3.8h | Low sample |
| arXiv CompSci ML | research | 1 | 10 | ~9% | ~0.09 | ~0% | 3.8h | Low sample |
| Medium AI (keyword) | commentary | 1 | 9 | 6% | 0.10 | 0% | 0.9h | Stable |
| The Verge | news | 1 | 3 | 12% | 0.16 | 0% | 7.8h | Stable |
| Atlas Obscura | commentary | 1 | 2 | ~30% | ~0.65 | ~0% | 11.7h | Low sample |
| FT Alphaville | news | 1 | 1 | ~12% | ~0.11 | ~0% | 3.9h | Low sample |
| MIT Business Research | research | 1 | 1 | Collecting data | Collecting data | Collecting data | 3.8h | Collecting |
| ZD Net | news | 1 | 1 | 8% | 0.13 | 0% | 7.3h | Stable |
| Bloomberg Markets | news | 0 | 10 | 3% | 0.02 | 0% | 5.3h | Stable |
| NYT front page | news | 0 | 10 | 7% | 0.07 | 0% | 8.9h | Stable |
| WSJ US Business | news | 0 | 10 | 5% | 0.06 | 0% | 10.0h | Stable |
| Zero Hedge | commentary | 0 | 10 | 3% | 0.01 | 0% | 9.6h | Stable |
| Seeking Alpha News | commentary | 0 | 7 | 2% | 0.00 | 0% | 1.3h | Stable |
| India Times | news | 0 | 6 | 1% | 0.01 | 0% | 3.7h | Stable |
| Outside Law School Scam - Comments | commentary | 0 | 5 | Collecting data | Collecting data | Collecting data | 15.7h | Collecting |
| Reddit R/FuturesTrading | news | 0 | 5 | ~4% | ~0.01 | ~0% | 19.0h | Low sample |
| Ars Technical All News | news | 0 | 4 | 12% | 0.12 | 0% | 8.0h | Stable |
| Reddit R/Ethereum | news | 0 | 3 | ~9% | ~0.08 | ~0% | 2.8h | Low sample |
| TechCrunch | news | 0 | 3 | 10% | 0.11 | 0% | 8.4h | Stable |
| Daring Fireball | commentary | 0 | 2 | ~17% | ~0.16 | ~0% | 5.1h | Low sample |
| Venture Beat | commentary | 0 | 2 | ~0% | ~0.03 | ~0% | 6.7h | Low sample |
| WSJ Social Economy | news | 0 | 2 | 5% | 0.01 | 0% | 6.1h | Stable |
| WSJ Tech | news | 0 | 2 | 8% | 0.09 | 0% | 7.7h | Stable |
| AI Daily Brief YT podcast | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.5h | Collecting |
| Closing Line Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.8h | Collecting |
| El Reg Offbeat | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.3h | Collecting |
| Grumpy Economist (Cochrane) | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| Latent Space | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.9h | Collecting |
| MIT Research General | research | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.3h | Collecting |
| OpenClaw: discovery-rank | curated | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| SEC Press Releases | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.3h | Collecting |
| The Atlantic | news | 0 | 1 | 10% | 0.10 | 0% | 9.0h | 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: 1.0h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 1
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.21
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: 2.3d
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: MyFT
Type: news
Included: 1
Scored: 10
28d Digest Rate: 6%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 5.1h
28d Confidence: Stable
Source: Reddit AI Wars
Type: news
Included: 1
Scored: 10
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 15.1h
28d Confidence: Collecting
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 CL
Type: research
Included: 1
Scored: 10
28d Digest Rate: ~6%
28d Avg Score: ~0.10
28d Hotlist Hit: ~0%
7d Article Age: 3.8h
28d Confidence: Low sample
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: 9
28d Digest Rate: 6%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 0.9h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 1
Scored: 3
28d Digest Rate: 12%
28d Avg Score: 0.16
28d Hotlist Hit: 0%
7d Article Age: 7.8h
28d Confidence: Stable
Source: Atlas Obscura
Type: commentary
Included: 1
Scored: 2
28d Digest Rate: ~30%
28d Avg Score: ~0.65
28d Hotlist Hit: ~0%
7d Article Age: 11.7h
28d Confidence: Low sample
Source: FT Alphaville
Type: news
Included: 1
Scored: 1
28d Digest Rate: ~12%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 3.9h
28d Confidence: Low sample
Source: MIT Business Research
Type: research
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.8h
28d Confidence: Collecting
Source: ZD Net
Type: news
Included: 1
Scored: 1
28d Digest Rate: 8%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 7.3h
28d Confidence: Stable
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: 5.3h
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: 8.9h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 0
Scored: 10
28d Digest Rate: 5%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 10.0h
28d Confidence: Stable
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: 9.6h
28d Confidence: Stable
Source: Seeking Alpha News
Type: commentary
Included: 0
Scored: 7
28d Digest Rate: 2%
28d Avg Score: 0.00
28d Hotlist Hit: 0%
7d Article Age: 1.3h
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: 5
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 15.7h
28d Confidence: Collecting
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 5
28d Digest Rate: ~4%
28d Avg Score: ~0.01
28d Hotlist Hit: ~0%
7d Article Age: 19.0h
28d Confidence: Low sample
Source: Ars Technical All News
Type: news
Included: 0
Scored: 4
28d Digest Rate: 12%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 8.0h
28d Confidence: Stable
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 3
28d Digest Rate: ~9%
28d Avg Score: ~0.08
28d Hotlist Hit: ~0%
7d Article Age: 2.8h
28d Confidence: Low sample
Source: TechCrunch
Type: news
Included: 0
Scored: 3
28d Digest Rate: 10%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 8.4h
28d Confidence: Stable
Source: Daring Fireball
Type: commentary
Included: 0
Scored: 2
28d Digest Rate: ~17%
28d Avg Score: ~0.16
28d Hotlist Hit: ~0%
7d Article Age: 5.1h
28d Confidence: Low sample
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: 6.7h
28d Confidence: Low sample
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: 6.1h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 0
Scored: 2
28d Digest Rate: 8%
28d Avg Score: 0.09
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: 8.5h
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: 8.8h
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: 10.3h
28d Confidence: Collecting
Source: Grumpy Economist (Cochrane)
Type: commentary
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: 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: 5.9h
28d Confidence: Collecting
Source: MIT Research General
Type: research
Included: 0
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: OpenClaw: discovery-rank
Type: curated
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: 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: 11.3h
28d Confidence: Collecting
Source: The Atlantic
Type: news
Included: 0
Scored: 1
28d Digest Rate: 10%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 9.0h
28d Confidence: Stable
This is a YouTube video titled "Supersonic Trebuchet" shared on Hacker News, with an accompanying comments link.
Keywords: trebuchet, supersonic, physics, experiment, video
Point Nemo is identified as the most remote place on Earth, located in the South Pacific Ocean at coordinates 48°52.6’S 123°23.6’W, equidistant from Ducie Island, Motu Nui, and Maher Island. Calculated in 1992 by Hrvoje Lukatela using a geospatial program named Hipparchus, the location is named after Captain Nemo from Jules Verne's novels. Because of its extreme isolation, the area is frequently used as a controlled crash site and "Spacecraft Cemetery" for decommissioned spacecraft, including the Mir space station. Additionally, H.P. Lovecraft situated his fictional sunken city of R’lyeh near these waters in his 1928 story "The Call of Cthulhu," and oceanographers recorded an enigmatic ultra-low-frequency sound known as "the Bloop" nearby in 1997.
Keywords: Point Nemo, South Pacific, Spacecraft Cemetery, H.P. Lovecraft, Cthulhu, The Bloop, Jules Verne
An FT Alphaville article examines the academic publishing output of Craig Wright—described as the individual who did not invent Bitcoin—noting scholarly works attributed to him on topics including black holes, neoliberalism, penis length, and dogmatism.
Keywords: Craig Wright, academic publishing, black holes, neoliberalism, penis length, dogmatism, Bitcoin
Sweetcorn is appearing everywhere this summer in dishes ranging from cornbreads to ice cream and cocktails, bridging the divide between sweet and savoury.
Keywords: sweetcorn, summer food trends, ice cream, cocktails, cornbread
This Guardian review discusses Exit, a family-friendly Belgian circus production choreographed by Piet Van Dycke and performed at Zoo Southside in Edinburgh until August 30. The show features a rotating cast of four performers utilizing a scaffold structure with multiple doors and a wall that transforms into a teeterboard. While praising the cast's strength, skill, and teamwork, as well as Bastiaan van Vuuren's score and the set design, the reviewer notes that the production ultimately stays too long in one register and would benefit from added mystery.
Keywords: circus, acrobatics, Edinburgh Festival Fringe, Piet Van Dycke, Zoo Southside, performance art
A forum poster on Bogleheads discusses noticing wrap-around style sunglasses worn by law enforcement officers and fishermen in movies and television shows, specifically mentioning the dark aviator-style sunglasses worn by character Mort Mills as a highway patrol officer in Alfred Hitchcock's 1960 film Psycho.
Keywords: sunglasses, Psycho, Alfred Hitchcock, movie fashion, forum
The article discusses AI dream analysis, explaining that tools like ChatGPT can be used to read a described dream and generate likely symbols, emotions, and themes in a fast process.
Keywords: AI dream analysis, ChatGPT, dreams, artificial intelligence, 2026 study
The author discusses an idea regarding team AI sharing a memory and notes that the hard part was unexpected.
Keywords: AI, artificial intelligence, memory, technology, software development
MIT Associate Professor Admir Masic co-founded the startup DMAT to commercialize concrete technology inspired by the self-healing properties of ancient Roman construction. DMAT has developed concrete additives that increase structural lifespan by 50 percent while reducing CO2 emissions to 40% compared to traditional concrete. The company's products have been utilized in European infrastructure projects such as underground water tanks, road barriers, and pavement, with upcoming plans for U.S. expansion.
Keywords: startup, Roman concrete, construction, sustainability, technology
The children of late actor Robin Williams—Zak, Zelda, and Cody—are taking over his Instagram account to make it a safe and trusted space. According to the article, this move follows statements by Zelda Williams speaking out against the use of her father's AI likeness.
Keywords: Robin Williams, Instagram, Artificial Intelligence, AI abuse, Celebrity estate
This research article evaluates the use of simultaneous perturbation stochastic approximation (SPSA) for hyperparameter tuning in a variational quantum natural language inference (QNLI) classifier consisting of 6 qubits and 60 parameters. By testing various perturbation scales, learning rates, and gain-decay schedules, the authors found that an AdamW-style SPSA configuration achieved a test accuracy of 55% over the default configuration's 49%. However, these SPSA methods still underperformed compared to parameter-shift baselines by 16 to 19 percentage points due to the high variance of the two-sample gradient estimates over 40 epochs. Classical-gain SPSA and Bures-preconditioned SPSA yielded lower test accuracies of 51% and 46%, respectively, with Bures-preconditioning noted as amplifying the perturbation noise.
Keywords: quantum computing, hyperparameter tuning, machine learning, natural language inference, SPSA
The article examines the standard protocol for human evaluation in natural language generation (NLG), which involves collecting and averaging annotator ratings to rank systems. Using economic utility theory, the author identifies implicit assumptions about annotators that are frequently violated in practice, noting that Likert scales can even reverse true preferences. To address these limitations in open-ended tasks like story generation, the paper introduces a new human evaluation protocol called system-level probabilistic assessment (SPA). The author demonstrates that SPA successfully recovers the ordering of GPT-3 models by size with statistically significant results, whereas the standard protocol fails to recover the expected preferences.
Keywords: natural language generation, human evaluation, utility theory, Likert scales, GPT-3
The author reviews Aura Glass, a new customization option that gives the GNOME desktop a glassy, Apple-like appearance. The article describes the visual and functional changes introduced by Aura Glass, including dynamic frosted glass, true background blur, and adaptive accent colors, and notes that it can be installed on GNOME versions 48, 49, and 50 across distributions such as Ubuntu, Debian, Fedora, Arch, and CachyOS. Additionally, the text provides a brief installation guide utilizing Git and a text-based setup wizard.
Keywords: GNOME, Aura Glass, desktop environment, software review, technology
According to Promptwatch reports, Reddit's share of ChatGPT Search citations experienced an 86% decline on August 14, 2026, dropping from approximately 3.8% to about 0.5%.
Keywords: ChatGPT, Reddit, Promptwatch, Search citations, AI
A Reddit post from the r/antiai community links to a Futurism article discussing young people's strong negative sentiment toward AI CEOs and executives, based on a poll.
Keywords: artificial intelligence, CEOs, youth, poll, tech executives