Scored 256 articles from 151 feeds; 15 included in digest.
Run ID: run-1788335881752
Generated: September 02, 2026 at 04:02 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 |
| Hacker News | commentary | 1 | 10 | 10% | 0.23 | 0% | 2.2d | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 10 | 7% | 0.11 | 0% | 0.9h | Stable |
| MyFT | news | 1 | 10 | 5% | 0.05 | 0% | 4.6h | Stable |
| OpenClaw: discovery-rank | curated | 1 | 10 | Collecting data | Collecting data | Collecting data | Unknown | Collecting |
| Reddit AI Wars | news | 1 | 10 | ~10% | ~0.14 | ~0% | 11.5h | Low sample |
| Reddit R/Bitcoin | news | 1 | 10 | 7% | 0.10 | 0% | 6.7h | Stable |
| arXiv CompSci CL | research | 1 | 10 | ~6% | ~0.10 | ~0% | 3.9h | Low sample |
| Book Riot | commentary | 1 | 9 | 15% | 0.27 | 0% | 10.0h | Stable |
| The Verge | news | 1 | 9 | 13% | 0.18 | 0% | 7.9h | Stable |
| WSJ Tech | news | 1 | 8 | 7% | 0.08 | 0% | 7.2h | Stable |
| The Atlantic | news | 1 | 5 | 11% | 0.12 | 0% | 8.4h | Stable |
| Ars Technical All News | news | 1 | 2 | 12% | 0.13 | 0% | 8.4h | Stable |
| Atlas Obscura | commentary | 1 | 1 | ~29% | ~0.63 | ~0% | 5.1h | Low sample |
| MIT Research General | research | 1 | 1 | Collecting data | Collecting data | Collecting data | 4.2h | Collecting |
| Bloomberg Markets | news | 0 | 10 | 2% | 0.02 | 0% | 4.8h | Stable |
| Guardian | news | 0 | 10 | 10% | 0.20 | 0% | 11.1h | Stable |
| Medium AI (keyword) | commentary | 0 | 10 | 7% | 0.11 | 0% | 0.8h | Stable |
| NYT front page | news | 0 | 10 | 7% | 0.08 | 0% | 8.8h | Stable |
| R/Scams | commentary | 0 | 10 | Collecting data | Collecting data | Collecting data | 23.4h | Collecting |
| Reddit AntiAI | news | 0 | 10 | 7% | 0.12 | 0% | 8.2h | Stable |
| TechCrunch | news | 0 | 10 | 10% | 0.10 | 0% | 5.5h | Stable |
| WSJ US Business | news | 0 | 10 | 4% | 0.05 | 0% | 9.6h | Stable |
| Zero Hedge | commentary | 0 | 10 | 3% | 0.02 | 0% | 9.0h | Stable |
| arXiv CompSci ML | research | 0 | 10 | ~8% | ~0.09 | ~0% | 3.9h | Low sample |
| Seeking Alpha News | commentary | 0 | 7 | 3% | 0.01 | 0% | 1.2h | Stable |
| India Times | news | 0 | 6 | 0% | 0.00 | 0% | 3.5h | Stable |
| WSJ Social Economy | news | 0 | 5 | 5% | 0.01 | 0% | 6.4h | Stable |
| Economist: Finance & Economics | news | 0 | 2 | Collecting data | Collecting data | Collecting data | 13.0h | Collecting |
| FT Alphaville | news | 0 | 2 | ~8% | ~0.11 | ~0% | 3.2h | Low sample |
| Reddit R/FuturesTrading | news | 0 | 2 | ~2% | ~0.00 | ~0% | 8.2h | Low sample |
| SEC Press Releases | policy_release | 0 | 2 | Collecting data | Collecting data | Collecting data | 7.7h | Collecting |
| Tom’s Hardware | news | 0 | 2 | 9% | 0.21 | 0% | 9.0h | Stable |
| Better Markets Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 2.8h | Collecting |
| Closing Line Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.4h | Collecting |
| Economist: Europe | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.9h | Collecting |
| Economist: United States | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 10.7h | Collecting |
| FRB All working papers | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 2.5h | Collecting |
| Futurism | news | 0 | 1 | 12% | 0.14 | 0% | 5.0h | Stable |
| Hugging Face | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 20.1h | Collecting |
| MIT AI Research | research | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.2h | Collecting |
| NYT Economy | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.7h | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~5% | ~0.06 | ~0% | 4.8h | Low sample |
| The Onion | news | 0 | 1 | 20% | 0.49 | 0% | 7.1h | Stable |
| Venture Beat | commentary | 0 | 1 | ~1% | ~0.03 | ~0% | 4.5h | Low sample |
| Wired AI News | news | 0 | 1 | ~13% | ~0.16 | ~0% | 8.4h | Low sample |
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: Hacker News
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.23
28d Hotlist Hit: 0%
7d Article Age: 2.2d
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 1
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 0.9h
28d Confidence: Stable
Source: MyFT
Type: news
Included: 1
Scored: 10
28d Digest Rate: 5%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 4.6h
28d Confidence: Stable
Source: OpenClaw: discovery-rank
Type: curated
Included: 1
Scored: 10
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: Unknown
28d Confidence: Collecting
Source: Reddit AI Wars
Type: news
Included: 1
Scored: 10
28d Digest Rate: ~10%
28d Avg Score: ~0.14
28d Hotlist Hit: ~0%
7d Article Age: 11.5h
28d Confidence: Low sample
Source: Reddit R/Bitcoin
Type: news
Included: 1
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 6.7h
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: Book Riot
Type: commentary
Included: 1
Scored: 9
28d Digest Rate: 15%
28d Avg Score: 0.27
28d Hotlist Hit: 0%
7d Article Age: 10.0h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 1
Scored: 9
28d Digest Rate: 13%
28d Avg Score: 0.18
28d Hotlist Hit: 0%
7d Article Age: 7.9h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 1
Scored: 8
28d Digest Rate: 7%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 7.2h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 1
Scored: 5
28d Digest Rate: 11%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 8.4h
28d Confidence: Stable
Source: Ars Technical All News
Type: news
Included: 1
Scored: 2
28d Digest Rate: 12%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 8.4h
28d Confidence: Stable
Source: Atlas Obscura
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: ~29%
28d Avg Score: ~0.63
28d Hotlist Hit: ~0%
7d Article Age: 5.1h
28d Confidence: Low sample
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: 4.2h
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: 4.8h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 0
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.20
28d Hotlist Hit: 0%
7d Article Age: 11.1h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 8.8h
28d Confidence: Stable
Source: R/Scams
Type: commentary
Included: 0
Scored: 10
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 23.4h
28d Confidence: Collecting
Source: Reddit AntiAI
Type: news
Included: 0
Scored: 10
28d Digest Rate: 7%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 8.2h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 0
Scored: 10
28d Digest Rate: 10%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 5.5h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 0
Scored: 10
28d Digest Rate: 4%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 9.6h
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: 9.0h
28d Confidence: Stable
Source: arXiv CompSci ML
Type: research
Included: 0
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: Seeking Alpha News
Type: commentary
Included: 0
Scored: 7
28d Digest Rate: 3%
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: 0%
28d Avg Score: 0.00
28d Hotlist Hit: 0%
7d Article Age: 3.5h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 5
28d Digest Rate: 5%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 6.4h
28d Confidence: Stable
Source: Economist: Finance & Economics
Type: news
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 13.0h
28d Confidence: Collecting
Source: FT Alphaville
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~8%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 3.2h
28d Confidence: Low sample
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~2%
28d Avg Score: ~0.00
28d Hotlist Hit: ~0%
7d Article Age: 8.2h
28d Confidence: Low sample
Source: SEC Press Releases
Type: policy_release
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.7h
28d Confidence: Collecting
Source: Tom’s Hardware
Type: news
Included: 0
Scored: 2
28d Digest Rate: 9%
28d Avg Score: 0.21
28d Hotlist Hit: 0%
7d Article Age: 9.0h
28d Confidence: Stable
Source: Better Markets 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: 2.8h
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: 9.4h
28d Confidence: Collecting
Source: Economist: Europe
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.9h
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: 10.7h
28d Confidence: Collecting
Source: FRB All working papers
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: 2.5h
28d Confidence: Collecting
Source: Futurism
Type: news
Included: 0
Scored: 1
28d Digest Rate: 12%
28d Avg Score: 0.14
28d Hotlist Hit: 0%
7d Article Age: 5.0h
28d Confidence: Stable
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: 20.1h
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: 8.2h
28d Confidence: Collecting
Source: NYT Economy
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.7h
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~5%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 4.8h
28d Confidence: Low sample
Source: The Onion
Type: news
Included: 0
Scored: 1
28d Digest Rate: 20%
28d Avg Score: 0.49
28d Hotlist Hit: 0%
7d Article Age: 7.1h
28d Confidence: Stable
Source: Venture Beat
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: ~1%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 4.5h
28d Confidence: Low sample
Source: Wired AI News
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~13%
28d Avg Score: ~0.16
28d Hotlist Hit: ~0%
7d Article Age: 8.4h
28d Confidence: Low sample
The author recalls working at a library where the children's department changed its theme every year, noting that the themes for the first few years involved animals.
Keywords: library pets, bookstore animals, cats, owls, axolotls
The author argues against automating mundane tasks in research, stating that using tools like Google, search engines, databases, or even Ctrl+F is a form of cheating. The author contends that enduring the slow, manual process of traditional library research builds character and is essential to being a true scholar.
Keywords: researcher, library, card catalog, automation, satire, eccentric
Evans City, Pennsylvania, features filming locations and grave markers from George A. Romero's 1968 horror film, "Night of the Living Dead." These locations include the headstone of Civil War veteran Nicholas Kramer, the Blair and Cole plot, and the grave of Clyde Lewis Meyers.
Keywords: Night of the Living Dead, Evans City, Pennsylvania, horror movie, grave markers, George A. Romero, film tourism
The article discusses the "Flat Cube" (also called the Propp Twist or Propp Tiles), a puzzle composed of lozenges that resemble a flattened Rubik's Cube. The author explores how many moves—referred to as "God's number"—are required to solve the uncolored puzzle from the most scrambled state, using two visual approaches: adding a dimension (equating twists to piling up cubes in a tray) and subtracting a dimension (treating horizontal lozenges as beads on wires). The text describes how puzzle designers Oskar van Deventer and Dmitry Andreev brought the mathematical concept into the physical world, notes the broader study of tiling landscapes, and includes updates regarding computational proofs for God's number on different orders of the puzzle.
Keywords: Flat Cube, puzzles, puzzle solving, Hacker News
A Reddit user submitted a link titled "My local Bitcoin meetup. Haters gonna say it's AI" to the r/Bitcoin community, featuring an image and a video link.
Keywords: Bitcoin, meetup, AI, Reddit, humor
A forum poster shares their deep dive into the bass lines of Van Morrison's album Moondance, specifically highlighting bassist John Klingberg. The post notes Klingberg's work on albums like Moondance and His Band and the Street Choir, quotes background details on his bass style from sleeve artist Mike McInnerney, links to Klingberg's 1985 obituary in the Woodstock Times, and mentions discovering a YouTube channel archiving his music managed by his daughter, Rachel Day Klingberg.
Keywords: John Klingberg, Van Morrison, Moondance, bass, music history, YouTube archive
This research roundup highlights various science stories, including topics such as black hole stars, making cookies from plastic, and tiny sound-powered drones.
Keywords: science, black hole stars, plastic cookies, sound-powered drones, research
Consumer and internet culture has increasingly embraced natural fibers while rejecting synthetic materials like polyester and nylon over concerns about microplastics, environmental impact, and product quality. However, the article argues that this backlash has gone too far, noting that synthetic fibers offer functional benefits such as durability, moisture-wicking, stretch, and shape retention that natural fibers cannot always match. Furthermore, the overall quality, sustainability, and lifespan of a garment depend on a complex matrix of factors—including fabric weight, weave, construction, and care—rather than relying solely on a simple distinction between natural and synthetic materials.
Keywords: polyester, natural fibers, clothing, fashion, fabrics
iRobot has announced a new flagship robot vacuum that it will showcase at IFA in Berlin. This marks the company's first major tech trade show appearance in years, following its acquisition out of bankruptcy in January by contract manufacturer Picea Robotics.
Keywords: iRobot, Roomba, robot vacuum, Picea Robotics, IFA Berlin
As Snap struggles with profitability, CEO Evan Spiegel is doubling down on a hardware play involving smart glasses, a strategy that has made some investors wary.
Keywords: Snap, Evan Spiegel, smart glasses, technology, business
Published in The Journal of Neuroscience by scientists at MIT's Picower Institute for Learning and Memory, a new theory posits that cognition and consciousness arise from the brain using traveling waves of rhythmic neural activity to coordinate neural networks with analog computations. Senior author Earl K. Miller and co-authors Scott L. Brincat and Jefferson E. Roy argue that while physical circuits and synapses store memories and goals, brain waves provide a fast and efficient control system to coordinate millions of neurons. According to the theory, slow alpha and beta frequency waves govern faster gamma waves, enabling spatiotemporal computing where waves can add, subtract, and process multiple calculations in parallel. The researchers also suggest that consciousness relies on the integrity of large-scale wave organization, citing studies on general anesthesia showing that various drugs disrupt brain wave dynamics to cause unconsciousness. The authors aim to test their theory by looking for direct signatures of analog computation in brain wave patterns, and note that wave dynamics could potentially inform non-invasive clinical treatments.
Keywords: MIT, neuroscience, consciousness, cognition, analog computation
This research paper explores aligning Large Language Models (LLMs) to natively generate text optimized for Text-to-Speech (TTS) delivery, framing the task as a preference alignment problem. The authors introduce two preference datasets, CORA and Recipe, featuring paired TTS-friendly and TTS-unfriendly responses, along with an evaluation suite combining a pattern-based heuristic metric, a TTS-to-ASR evaluation pipeline, and a MUSHRA human listening study. Evaluating the Feature-aware Sampling and Tuning (FaST) framework against various alignment baselines, the study finds that FaST achieves the best overall tradeoff between TTS-friendliness and helpfulness, while also demonstrating a strong correlation between metrics for reliable assessment.
Keywords: Large Language Models, Text-to-Speech, AI research, Preference alignment, Natural Language Processing
Chicago's food culture reflects its history as a city of immigrants and its diverse culinary offerings.
Keywords: Chicago, food, neighborhoods, travel, culture
The article presents EULER, a multi-agent system designed for multi-agent mathematical discovery by using problem transfers, or bridges, as its unit of search around a fixed conjecture. EULER evaluates direct, adjacent-domain, and distant-domain routes in competition, retaining bridges only if they execute operations the source cannot and provide target-side evidence that returns to the original statement via checked implications, with six stress tests filtering out invalid bridges. Evaluated on 120 recent, contamination-screened conjectures from combinatorics papers, EULER generated 10 proofs, 3 refutations, and 45 scoped partial results. Ablation tests showed that bridge-specific stress tests reduced incorrect conclusions from 9 to 3, and combining bridge material with target-native operations produced a positive interaction yielding +4.2 resolved tasks, while domain distance did not reliably predict success.
Keywords: EULER, multi-agent system, mathematical discovery, AI, research
An article on Generative AI discusses a 275,000-character Claude Fable 5.1 prompt that appeared on GitHub, noting that the story focuses more on the architecture surrounding modern AI agents than on a hack.
Keywords: Claude Fable 5.1, GitHub, artificial intelligence, AI agents, prompt engineering