Scored 71 articles from 150 feeds; 15 included in digest.
Run ID: run-1781250186952
Generated: June 12, 2026 at 03:46 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 | 3% | 0.03 | 0% | 1.0h | Stable |
| Medium AI (keyword) | commentary | 1 | 9 | 5% | 0.06 | 0% | 0.9h | Stable |
| TechCrunch | news | 1 | 8 | 5% | 0.07 | 0% | 7.4h | Stable |
| WSJ US Business | news | 1 | 8 | 2% | 0.03 | 0% | 7.1h | Stable |
| Seeking Alpha News | commentary | 1 | 7 | 1% | 0.01 | 0% | 1.4h | Stable |
| Wired AI News | news | 1 | 4 | ~8% | ~0.08 | ~0% | 6.3h | Low sample |
| The Verge | news | 1 | 3 | 10% | 0.13 | 0% | 4.1h | Stable |
| Daring Fireball | commentary | 1 | 2 | ~17% | ~0.11 | ~0% | 7.6h | Low sample |
| FT Alphaville | news | 1 | 2 | ~11% | ~0.08 | ~0% | 4.5h | Low sample |
| Futurism | news | 1 | 2 | 9% | 0.13 | 0% | 5.9h | Stable |
| MIT AI Research | research | 1 | 2 | Collecting data | Collecting data | Collecting data | 7.8h | Collecting |
| Atlas Obscura | commentary | 1 | 1 | ~46% | ~0.62 | ~0% | 8.4h | Low sample |
| Book Riot | commentary | 1 | 1 | 12% | 0.20 | 0% | 10.0h | Stable |
| Next Event Horizon Substack | news | 1 | 1 | Collecting data | Collecting data | Collecting data | 8.9h | Collecting |
| Oddity Central | commentary | 1 | 1 | Collecting data | Collecting data | Collecting data | 11.1h | Collecting |
| WSJ Social Economy | news | 0 | 3 | 1% | 0.00 | 0% | 5.7h | Stable |
| Zero Hedge | commentary | 0 | 2 | 2% | 0.02 | 0% | 5.6h | Stable |
| AI Daily Brief YT podcast | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.3h | Collecting |
| BIG by Matt Stoller | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 3.4h | Collecting |
| MIT Sci, Tech & Society | research | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| The Atlantic | news | 0 | 1 | 9% | 0.09 | 0% | 8.2h | Stable |
| Venture Beat | commentary | 0 | 1 | ~1% | ~0.04 | ~0% | 10.2h | Low sample |
| Ars Technical All News | news | 0 | 0 | 10% | 0.11 | 0% | 9.8h | Stable |
| Bloomberg Markets | news | 0 | 0 | 0% | 0.01 | 0% | 3.0h | Stable |
| Grumpy Economist (Cochrane) | commentary | 0 | 0 | Collecting data | Collecting data | Collecting data | 3.0h | Collecting |
| Guardian | news | 0 | 0 | 2% | 0.14 | 0% | 5.5h | Stable |
| Hacker News | commentary | 0 | 0 | 4% | 0.16 | 0% | 9.7h | Stable |
| India Times | news | 0 | 0 | 0% | 0.01 | 0% | 3.5h | Stable |
| Latent Space | commentary | 0 | 0 | Collecting data | Collecting data | Collecting data | 4.2h | Collecting |
| Medium Artificial Intelligence (keyword) | commentary | 0 | 0 | 4% | 0.07 | 0% | 1.1h | Stable |
| MyFT | news | 0 | 0 | 3% | 0.03 | 0% | 4.4h | Stable |
| NYT Economy | news | 0 | 0 | Collecting data | Collecting data | Collecting data | 2.9h | Collecting |
| NYT front page | news | 0 | 0 | 4% | 0.06 | 0% | 7.4h | Stable |
| Reddit AI Wars | news | 0 | 0 | 4% | 0.10 | 0% | 5.1h | Stable |
| Reddit R/Ethereum | news | 0 | 0 | ~2% | ~0.05 | ~0% | 8.2h | Low sample |
| Reddit R/FuturesTrading | news | 0 | 0 | ~0% | ~0.01 | ~0% | 4.8h | Low sample |
| The Onion | news | 0 | 0 | 16% | 0.38 | 0% | 7.1h | Stable |
| WSJ Tech | news | 0 | 0 | 2% | 0.05 | 0% | 7.1h | Stable |
| ZD Net | news | 0 | 0 | 6% | 0.09 | 0% | 8.4h | Stable |
| arXiv CompSci CL | research | 0 | 0 | ~1% | ~0.05 | ~0% | 4.1h | Low sample |
Source: Bogleheads forum
Type: news
Included: 1
Scored: 10
28d Digest Rate: 3%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 1.0h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 1
Scored: 9
28d Digest Rate: 5%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 0.9h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 1
Scored: 8
28d Digest Rate: 5%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 7.4h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 8
28d Digest Rate: 2%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 7.1h
28d Confidence: Stable
Source: Seeking Alpha News
Type: commentary
Included: 1
Scored: 7
28d Digest Rate: 1%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 1.4h
28d Confidence: Stable
Source: Wired AI News
Type: news
Included: 1
Scored: 4
28d Digest Rate: ~8%
28d Avg Score: ~0.08
28d Hotlist Hit: ~0%
7d Article Age: 6.3h
28d Confidence: Low sample
Source: The Verge
Type: news
Included: 1
Scored: 3
28d Digest Rate: 10%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 4.1h
28d Confidence: Stable
Source: Daring Fireball
Type: commentary
Included: 1
Scored: 2
28d Digest Rate: ~17%
28d Avg Score: ~0.11
28d Hotlist Hit: ~0%
7d Article Age: 7.6h
28d Confidence: Low sample
Source: FT Alphaville
Type: news
Included: 1
Scored: 2
28d Digest Rate: ~11%
28d Avg Score: ~0.08
28d Hotlist Hit: ~0%
7d Article Age: 4.5h
28d Confidence: Low sample
Source: Futurism
Type: news
Included: 1
Scored: 2
28d Digest Rate: 9%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 5.9h
28d Confidence: Stable
Source: MIT AI Research
Type: research
Included: 1
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.8h
28d Confidence: Collecting
Source: Atlas Obscura
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: ~46%
28d Avg Score: ~0.62
28d Hotlist Hit: ~0%
7d Article Age: 8.4h
28d Confidence: Low sample
Source: Book Riot
Type: commentary
Included: 1
Scored: 1
28d Digest Rate: 12%
28d Avg Score: 0.20
28d Hotlist Hit: 0%
7d Article Age: 10.0h
28d Confidence: Stable
Source: Next Event Horizon Substack
Type: news
Included: 1
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.9h
28d Confidence: Collecting
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: 11.1h
28d Confidence: Collecting
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 3
28d Digest Rate: 1%
28d Avg Score: 0.00
28d Hotlist Hit: 0%
7d Article Age: 5.7h
28d Confidence: Stable
Source: Zero Hedge
Type: commentary
Included: 0
Scored: 2
28d Digest Rate: 2%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 5.6h
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: 6.3h
28d Confidence: Collecting
Source: BIG by Matt Stoller
Type: commentary
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: 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: No recent data
28d Confidence: Collecting
Source: The Atlantic
Type: news
Included: 0
Scored: 1
28d Digest Rate: 9%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 8.2h
28d Confidence: Stable
Source: Venture Beat
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: ~1%
28d Avg Score: ~0.04
28d Hotlist Hit: ~0%
7d Article Age: 10.2h
28d Confidence: Low sample
Source: Ars Technical All News
Type: news
Included: 0
Scored: 0
28d Digest Rate: 10%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 9.8h
28d Confidence: Stable
Source: Bloomberg Markets
Type: news
Included: 0
Scored: 0
28d Digest Rate: 0%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 3.0h
28d Confidence: Stable
Source: Grumpy Economist (Cochrane)
Type: commentary
Included: 0
Scored: 0
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.0h
28d Confidence: Collecting
Source: Guardian
Type: news
Included: 0
Scored: 0
28d Digest Rate: 2%
28d Avg Score: 0.14
28d Hotlist Hit: 0%
7d Article Age: 5.5h
28d Confidence: Stable
Source: Hacker News
Type: commentary
Included: 0
Scored: 0
28d Digest Rate: 4%
28d Avg Score: 0.16
28d Hotlist Hit: 0%
7d Article Age: 9.7h
28d Confidence: Stable
Source: India Times
Type: news
Included: 0
Scored: 0
28d Digest Rate: 0%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 3.5h
28d Confidence: Stable
Source: Latent Space
Type: commentary
Included: 0
Scored: 0
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.2h
28d Confidence: Collecting
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 0
Scored: 0
28d Digest Rate: 4%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 1.1h
28d Confidence: Stable
Source: MyFT
Type: news
Included: 0
Scored: 0
28d Digest Rate: 3%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 4.4h
28d Confidence: Stable
Source: NYT Economy
Type: news
Included: 0
Scored: 0
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 2.9h
28d Confidence: Collecting
Source: NYT front page
Type: news
Included: 0
Scored: 0
28d Digest Rate: 4%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 7.4h
28d Confidence: Stable
Source: Reddit AI Wars
Type: news
Included: 0
Scored: 0
28d Digest Rate: 4%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 5.1h
28d Confidence: Stable
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 0
28d Digest Rate: ~2%
28d Avg Score: ~0.05
28d Hotlist Hit: ~0%
7d Article Age: 8.2h
28d Confidence: Low sample
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 0
28d Digest Rate: ~0%
28d Avg Score: ~0.01
28d Hotlist Hit: ~0%
7d Article Age: 4.8h
28d Confidence: Low sample
Source: The Onion
Type: news
Included: 0
Scored: 0
28d Digest Rate: 16%
28d Avg Score: 0.38
28d Hotlist Hit: 0%
7d Article Age: 7.1h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 0
Scored: 0
28d Digest Rate: 2%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 7.1h
28d Confidence: Stable
Source: ZD Net
Type: news
Included: 0
Scored: 0
28d Digest Rate: 6%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 8.4h
28d Confidence: Stable
Source: arXiv CompSci CL
Type: research
Included: 0
Scored: 0
28d Digest Rate: ~1%
28d Avg Score: ~0.05
28d Hotlist Hit: ~0%
7d Article Age: 4.1h
28d Confidence: Low sample
Located in the Boboli Gardens in Florence, the Bacchus Fountain (Fontana di Bacchino) depicts Nano Morgante, a famous court dwarf who served Cosimo I de’ Medici. Created by sculptor Valerio Cioli in 1560, the statue portrays Morgante sitting on a turtle in a grotesque style that contrasts with the traditional idealized figures found elsewhere in the gardens. Although Morgante was a court jester, he was also a respected advisor to the Grand Duke. The fountain is considered a representation of Cosimo I’s motto, 'Festina lente,' and remains a well-known landmark in Florence.
Keywords: Nano Morgante, Boboli Gardens, Florence, Bacchus Fountain, whimsical history, Renaissance art
Young people in South Korea are increasingly using 'dopamine sites,' which are fake online marketplaces designed to mimic the shopping experience without processing any actual payments or product deliveries. By simulating the rituals of searching for items, adding them to a cart, and tracking a fake shipment, users seek to replicate the psychological dopamine response of shopping while saving money. While these platforms are described as a response to the high cost of living, some experts express concern that they reinforce addictive behavioral patterns associated with online commerce.
Keywords: South Korea, online shopping, dopamine sites, shopping addiction, whimsical, Oddity Central
In an interview on The Rest Is Entertainment, director Steven Spielberg recounts two failed attempts to direct a James Bond film after being turned down by producer Cubby Broccoli following the success of his films Jaws and Close Encounters of the Third Kind. Spielberg notes that he eventually allowed the use of the five-note theme from Close Encounters in the Bond film Moonraker despite being rejected for a directing role. The article suggests that Spielberg's subsequent collaboration with George Lucas on Raiders of the Lost Ark was influenced by his disappointment regarding the Bond franchise.
Keywords: Steven Spielberg, James Bond, Cubby Broccoli, Indiana Jones, Hollywood trivia, Moonraker
This edition of Book Riot's 'Today in Books' covers a selection of queer books recommended by People Magazine, the announcement of the 2026 Barnes & Noble Discover Prize finalists, and recent marketing trends involving book clubs, such as Emily Henry-themed pajamas and Reese Witherspoon's upcoming STORYfest event. The article also includes a curated list of picture books focused on Juneteenth.
Keywords: Pride Month, Books, Barnes & Noble, Reese Witherspoon, Book Pajamas
Apple's Craig Federighi stated in an interview that the updated Siri is designed to avoid the sycophantic behavior found in chatbots developed by companies like OpenAI and Google.
Keywords: Siri, Apple, Craig Federighi, AI, chatbots
Apple is introducing new generative AI features to its Photos app in iOS 27, including tools like Clean Up, Extend, and Spatial Reframe. iPhone camera chief Jon McCormack emphasizes that Apple is taking a measured approach compared to competitors, aiming to assist with compositional issues rather than allowing unlimited image manipulation. The features include restrictions to preserve image authenticity, such as limiting the scope of background adjustments and integrating Google's SynthID for invisible watermarking. While some tools, like Extend, may generate new background elements, Apple maintains a focus on keeping memories intact within the Photos app, distinguishing these capabilities from the creative-focused Image Playground.
Keywords: Apple, iOS 27, Generative AI, Photography, Technology
Social network Bluesky has introduced group chats for up to 50 participants in its latest app update, marking a strategic shift toward community-focused features. The platform, which reaches 44.8 million registered users, plans to expand its community offerings by building on the AT Protocol, allowing users to create smaller, private spaces with customizable handles and privacy settings. Additionally, the update adds personalized QR codes for profile sharing, while the company continues to develop the safety and moderation systems necessary to support future media sharing within group chats.
Keywords: Bluesky, social media, group chats, tech updates
MIT researchers have demonstrated that traditional random utility models (RUMs), which rely on pairwise comparisons to predict human preferences, fail to capture essential correlations between choices. A paper presented at the International Conference on Learning Representations indicates that asking users to rank three alternatives, rather than two, allows for the identification of these correlations. The team developed efficient algorithms to extract this preference information, providing a practical method for improving data collection and model accuracy, which remains vital for fields including AI alignment and large language model development.
Keywords: MIT, research, decision-making, utility models, psychology
This article discusses the release of Anthropic’s new model, Claude Fable 5, which was previously the subject of industry rumors referred to as "Mitos."
Keywords: Anthropic, Claude Fable 5, Artificial Intelligence, Tech News, Mitos
This edition of FT Alphaville’s further reading covers a variety of topics, including Modern Monetary Theory (MMT), the application of AI in mathematics, the status of universities, global trade, interpersonal relationships, screensavers, housing, and coffee shops.
Keywords: MMT, AI, education, global trade, lifestyle
In a Bogleheads forum discussion regarding options for children's savings accounts, a user suggests searching Google Maps to identify local bank branches that are convenient for one's specific location.
Keywords: banking, personal finance, savings accounts, Bogleheads
According to data from Sensor Tower, ChatGPT reached a monthly average user base of 1 billion in May.
Keywords: ChatGPT, Sensor Tower, artificial intelligence, tech statistics
A teardown by iFixit of the 'Trump Mobile T1' smartphone reveals that the device is a rebranded, two-year-old HTC U24 Pro. The report confirms that the phone is manufactured in China with predominantly Chinese-sourced components, despite initial marketing claims that the product was made in the U.S. Following delays, the company is reportedly targeting sales of 30,000 units, significantly lower than the 600,000 preorders previously claimed.
Keywords: Donald Trump, technology, teardown, politics, hardware
Texas cattle ranchers are increasing herd inspections and utilizing drones to combat the New World screwworm, a parasite previously considered eradicated. In response, the USDA is restarting its production of sterile flies to help control the population.
Keywords: Texas, ranching, USDA, New World screwworm, agriculture
The Commodity Futures Trading Commission (CFTC) has released a proposed rule change for prediction markets that aims to codify existing practices while clarifying regulatory boundaries. The proposal indicates that most sports event contracts are permissible, provided they do not involve player injuries, officiating outcomes, discrete actions, physical altercations, or pre-collegiate sports. The document defines "gaming" specifically for regulatory purposes and suggests that contracts based on purely random events, such as casino games, likely conflict with public interest. The CFTC's detailed justification for these rules is intended to withstand potential legal challenges.
Keywords: CFTC, prediction markets, regulation, financial news, Kalshi