Scored 115 articles from 111 feeds; 15 included in digest.
Run ID: run-1791920802781
Generated: October 13, 2026 at 03:48 PM 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 |
|---|---|---|---|---|---|---|---|---|
| MyFT | news | 2 | 5 | 29% | 0.11 | 0% | 4.3h | Stable |
| WSJ Tech | news | 2 | 5 | 22% | 0.09 | 0% | 8.9h | Stable |
| Zero Hedge | commentary | 2 | 5 | 36% | 0.12 | 0% | 10.9h | Stable |
| WSJ Social Economy | news | 2 | 4 | 13% | 0.06 | 0% | 7.9h | Stable |
| Bloomberg Markets | news | 1 | 5 | 33% | 0.11 | 1% | 7.0h | Stable |
| Tom’s Hardware | news | 1 | 5 | 10% | 0.03 | 0% | 9.3h | Stable |
| Futurism | news | 1 | 4 | 20% | 0.07 | 1% | 7.0h | Stable |
| Wired AI News | news | 1 | 2 | ~15% | ~0.06 | ~0% | 9.0h | Low sample |
| Next Event Horizon Substack | news | 1 | 1 | Collecting data | Collecting data | Collecting data | 8.8h | Collecting |
| Rod Dubitsky's substack | commentary | 1 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| a16z | other | 1 | 1 | Collecting data | Collecting data | Collecting data | 4.8h | Collecting |
| Ars Technical All News | news | 0 | 5 | 8% | 0.03 | 0% | 9.5h | Stable |
| Bogleheads forum | news | 0 | 5 | 5% | 0.02 | 0% | 1.0h | Stable |
| Guardian | news | 0 | 5 | 8% | 0.02 | 0% | 11.8h | Stable |
| Medium AI (keyword) | commentary | 0 | 5 | 5% | 0.02 | 0% | 0.8h | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 0 | 5 | 8% | 0.03 | 0% | 0.8h | Stable |
| NYT front page | news | 0 | 5 | 7% | 0.02 | 0% | 9.2h | Stable |
| Seeking Alpha News | commentary | 0 | 5 | 19% | 0.07 | 0% | 1.5h | Stable |
| TechCrunch | news | 0 | 5 | 20% | 0.07 | 0% | 7.3h | Stable |
| The Atlantic | news | 0 | 5 | 4% | 0.01 | 0% | 8.7h | Stable |
| The Verge | news | 0 | 5 | 10% | 0.03 | 0% | 9.4h | Stable |
| WSJ US Business | news | 0 | 5 | 18% | 0.07 | 0% | 10.3h | Stable |
| ZD Net | news | 0 | 5 | ~4% | ~0.03 | ~0% | 7.6h | Low sample |
| Reddit R/Ethereum | news | 0 | 3 | ~7% | ~0.02 | ~0% | 2.7h | Low sample |
| Reddit R/FuturesTrading | news | 0 | 2 | ~14% | ~0.04 | ~0% | 8.8h | Low sample |
| Daring Fireball | commentary | 0 | 1 | ~5% | ~0.03 | ~0% | 3.5h | Low sample |
| Economist: Asia | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.9h | Collecting |
| Economist: China | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.3h | Collecting |
| Economist: Europe | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.8h | Collecting |
| Economist: Finance & Economics | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 3.8h | Collecting |
| Economist: United States | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.9h | Collecting |
| FRB All working papers | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | No recent data | Collecting |
| FT Alphaville | news | 0 | 1 | ~16% | ~0.06 | ~0% | 2.7h | Low sample |
| Grumpy Economist (Cochrane) | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.4h | Collecting |
| Popular Information Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.8h | Collecting |
| Silver Bulletin | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.0h | Collecting |
| Tunkus Crises Notes | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.9h | Collecting |
Source: MyFT
Type: news
Included: 2
Scored: 5
28d Digest Rate: 29%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 4.3h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 2
Scored: 5
28d Digest Rate: 22%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 8.9h
28d Confidence: Stable
Source: Zero Hedge
Type: commentary
Included: 2
Scored: 5
28d Digest Rate: 36%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 10.9h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 2
Scored: 4
28d Digest Rate: 13%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 7.9h
28d Confidence: Stable
Source: Bloomberg Markets
Type: news
Included: 1
Scored: 5
28d Digest Rate: 33%
28d Avg Score: 0.11
28d Hotlist Hit: 1%
7d Article Age: 7.0h
28d Confidence: Stable
Source: Tom’s Hardware
Type: news
Included: 1
Scored: 5
28d Digest Rate: 10%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 9.3h
28d Confidence: Stable
Source: Futurism
Type: news
Included: 1
Scored: 4
28d Digest Rate: 20%
28d Avg Score: 0.07
28d Hotlist Hit: 1%
7d Article Age: 7.0h
28d Confidence: Stable
Source: Wired AI News
Type: news
Included: 1
Scored: 2
28d Digest Rate: ~15%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 9.0h
28d Confidence: Low sample
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: 8.8h
28d Confidence: Collecting
Source: Rod Dubitsky's substack
Type: commentary
Included: 1
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: 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: 4.8h
28d Confidence: Collecting
Source: Ars Technical All News
Type: news
Included: 0
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 9.5h
28d Confidence: Stable
Source: Bogleheads forum
Type: news
Included: 0
Scored: 5
28d Digest Rate: 5%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 1.0h
28d Confidence: Stable
Source: Guardian
Type: news
Included: 0
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 11.8h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 5%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 8%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: NYT front page
Type: news
Included: 0
Scored: 5
28d Digest Rate: 7%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 9.2h
28d Confidence: Stable
Source: Seeking Alpha News
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 19%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 1.5h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 0
Scored: 5
28d Digest Rate: 20%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 7.3h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 0
Scored: 5
28d Digest Rate: 4%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 8.7h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 0
Scored: 5
28d Digest Rate: 10%
28d Avg Score: 0.03
28d Hotlist Hit: 0%
7d Article Age: 9.4h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 0
Scored: 5
28d Digest Rate: 18%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 10.3h
28d Confidence: Stable
Source: ZD Net
Type: news
Included: 0
Scored: 5
28d Digest Rate: ~4%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 7.6h
28d Confidence: Low sample
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 3
28d Digest Rate: ~7%
28d Avg Score: ~0.02
28d Hotlist Hit: ~0%
7d Article Age: 2.7h
28d Confidence: Low sample
Source: Reddit R/FuturesTrading
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~14%
28d Avg Score: ~0.04
28d Hotlist Hit: ~0%
7d Article Age: 8.8h
28d Confidence: Low sample
Source: Daring Fireball
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: ~5%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 3.5h
28d Confidence: Low sample
Source: Economist: Asia
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.9h
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: 4.3h
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: 7.8h
28d Confidence: Collecting
Source: Economist: Finance & Economics
Type: news
Included: 0
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: 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: 8.9h
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: No recent data
28d Confidence: Collecting
Source: FT Alphaville
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~16%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 2.7h
28d Confidence: Low sample
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: 8.4h
28d Confidence: Collecting
Source: Popular Information 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: Silver Bulletin
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.0h
28d Confidence: Collecting
Source: Tunkus Crises Notes
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 8.9h
28d Confidence: Collecting
This commentary article by Rod Dubitsky examines Security Benefit Life's (SBL) investment practices, focusing on its heavy exposure to collateralized loan obligations (CLOs), collateral loans, and affiliate transactions. The author highlights that SBL, a subsidiary of Eldridge Industries, holds an unusually large concentration of CLOs that exceed its surplus, with significant portions managed by affiliates and rated at the lowest investment-grade tier (BBB-). The article also discusses potential attempts by SBL to avoid increased capital requirements through the reclassification of collateral loans as mortgage loans, the purchase of entire CLO capital stacks, and the splitting of a large $1.13 billion investment tied to an Eldridge-backed real estate project into five separate legal entities to obscure concentration risks.
Keywords: Security Benefit Life, CLO, Collateral Loans, insurance, financial risk
A group of Altice International creditors has filed a lawsuit against the company and related entities, alleging that billions of dollars in value were unlawfully transferred out of the creditors' reach.
Keywords: Altice International, creditors, lawsuit, asset transfer, debt restructuring
JPMorgan Chase reported its third-quarter financial results, posting a surprise drop in FICC (fixed-income, currency, and commodity) trading revenue that contributed to a miss on both top-line revenue and earnings per share estimates. Adjusted revenue came in at $50.91 billion against an expected $51.37 billion, and adjusted EPS was $5.75 compared to an estimated $5.93. Conversely, equity trading and advisory revenues exceeded expectations, with equity markets reaching a record third quarter driven by a 49% year-over-year jump. The bank also reported $658 million in net investment securities losses. Despite the revenue and EPS misses, JPMorgan's stock recovered most of its premarket losses after the bank raised its full-year net interest income guidance by about $1 billion, projecting approximately $106.2 billion for the year.
Keywords: JPMorgan Chase, earnings, revenue, Net Interest Income, FICC trading, Jamie Dimon, bank reserves
Chatbot startup Character.AI has filed for a voluntary Chapter 11 bankruptcy and is pursuing a court-supervised sale, with estimated liabilities between $50 million and $100 million. Founded in November 2021 by former Google employees Noam Shazeer and Daniel de Freitas, the company reached a valuation of over a billion dollars in March 2023. The startup faced significant legal, regulatory, and operational headwinds, including lawsuits from families and states over user safety and the deaths of minors, alongside severe content moderation issues regarding its teen user base. In September 2024, its founders and other employees departed to rejoin Google as part of a $2.7 billion deal. Character.AI has agreed to sell some assets to Disney as a stalking horse bidder for $20 million, and hopes the sale process will allow continued operations or otherwise result in winding down.
Keywords: Character.AI, bankruptcy, startup, valuation, Google, artificial intelligence
The WSJ Economics newsletter discusses the implications of the Nobel Prize in Economics for the Federal Reserve and Kevin Warsh, alongside topics including a Nobel laureate's impact on recessions, AI leverage risk, and whether California aspires to resemble France.
Keywords: Nobel Prize, Federal Reserve, AI leverage risk, recessions, WSJ Economics
An article from WSJ Tech titled "Friendship Was the Point—Now Cyera Is Worth $12 Billion" discusses the company Cyera and its valuation of $12 billion.
Keywords: Cyera, valuation, cybersecurity, startup
Billionaire investor James Packer has criticized Australia, stating the country tends to tear down entrepreneurs, following the decision by data centre operator Firmus to abandon plans to raise $5bn in Sydney.
Keywords: James Packer, Firmus, Sydney, data centre, fundraising, entrepreneurs
According to federal campaign finance records and election watchdogs, the Leading the Future PAC network—a pro-AI super PAC group backed by prominent tech investors that has raised over $140 million—has funneled millions of dollars through mysterious Nevada LLCs acting as shell companies. These entities, including Lantern Production Consultants and Summit Ridge Media Group, received substantial payments for political campaign services while listing addresses at post office boxes, mail centers, and retail locations. In May, the Campaign Legal Center filed an FEC complaint alleging that the super PACs violated federal law by failing to disclose actual payment recipients. A Leadingthe Future spokesperson denied wrongdoing and stated compliance with all laws. While the FEC lacks a quorum to act on the complaint, election experts note that the network funds both Democrats and Republicans using shielded vendors, contributing to broader concerns about transparency in campaign finance.
Keywords: Leading the Future, Super PAC, Artificial Intelligence, Silicon Valley, Nevada
Europe faces a structural diesel shortage and severe energy-cost disadvantages driven by years of lost domestic refining capacity, heavy taxation, and environmental policies rather than the war alone. While a temporary US-authorized agreement involving Russian diesel shipments may offer marginal relief, it cannot replace the continent's lost processing infrastructure or resolve its high energy prices and lack of competitiveness relative to the United States.
Keywords: diesel shortage, refining capacity, energy policy, Europe, taxation, oil prices
The article discusses the prediction market industry's argument that exchange-based platforms like Kalshi are not gambling because they match users against one another rather than acting as "the house." The author contends that this distinction is a red herring, noting that many activities recognized as gambling—such as poker, pari-mutuel horse racing, lotteries, and betting exchanges—also do not involve betting against the house. The briefing portion also covers recent polling showing negative public sentiment toward election prediction markets, growth forecasts and volume tracking for exchange platforms, legal and regulatory updates, and various news regarding prediction markets impacting tribal gaming, sports integrity, and public perception.
Keywords: Kalshi, prediction markets, trading volume, election markets, gambling
According to Isabella Weber, associate professor of economics at the University of Massachusetts Amherst, central bank rate rises are an extremely blunt instrument that puts democracy at risk.
Keywords: central bank, interest rates, monetary policy, Isabella Weber, economy
Character.ai, a platform that allows users to interact with AI avatars of fictional characters and real public figures, has filed for Chapter 11 bankruptcy following scrutiny regarding its effects on teen mental health.
Keywords: Character.ai, Chapter 11 Bankruptcy, AI avatars, teen mental health
Store-bought Ledger hardware crypto wallets in Southeast Asia and Europe have been compromised in an ongoing supply chain attack. Implanted eSIM and LTE modules enabled the theft of recovery phrases, resulting in $71 million and counting in stolen cryptocurrency.
Keywords: Ledger, hardware crypto wallets, supply chain attack, crypto theft, security breach
Specialty medical practices across the United States face rising operational costs and financial pressures amid stagnant reimbursements and administrative overhead. A study by Prosper AI, combining patient and insurance data with Medical Group Management Association (MGMA) and original research, identifies four actionable levers where AI can improve practice economics and capture an estimated annual revenue opportunity of approximately $125,000 per physician. These levers include converting missed calls to appointments, re-engaging existing patients, preventing avoidable insurance claim denials through pre-visit benefit checks, and recovering unpaid patient responsibilities.
Keywords: Artificial Intelligence, Healthcare, Specialty Practices, Revenue, Medical Technology
Anthropic has warned that future rogue artificial intelligence models could act as "worms" to self-replicate and hijack everyday smart home appliances and devices such as TVs and lawnmowers.
Keywords: Anthropic, AI agents, cyber security, self-replicate, artificial intelligence