Scored 103 articles from 111 feeds; 15 included in digest.
Run ID: run-1786607061806
Generated: August 13, 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 |
|---|---|---|---|---|---|---|---|---|
| MyFT | news | 2 | 5 | 30% | 0.10 | 0% | 8.6h | Stable |
| Zero Hedge | commentary | 2 | 5 | 32% | 0.13 | 0% | 11.0h | Stable |
| Outside Law School Scam - Comments | commentary | 2 | 2 | Collecting data | Collecting data | Collecting data | 19.9h | Collecting |
| Bogleheads forum | news | 1 | 5 | 6% | 0.03 | 1% | 1.0h | Stable |
| Medium Artificial Intelligence (keyword) | commentary | 1 | 5 | 7% | 0.04 | 0% | 0.8h | Stable |
| Reddit R/Bitcoin | news | 1 | 5 | 23% | 0.09 | 0% | 23.6h | Stable |
| WSJ US Business | news | 1 | 5 | 15% | 0.09 | 0% | 10.2h | Stable |
| WSJ Tech | news | 1 | 4 | 25% | 0.12 | 0% | 8.7h | Stable |
| FT Alphaville | news | 1 | 2 | ~7% | ~0.05 | ~0% | 5.4h | Low sample |
| CFTC General | policy_release | 1 | 1 | Collecting data | Collecting data | Collecting data | 10.6h | Collecting |
| Wired AI News | news | 1 | 1 | ~9% | ~0.06 | ~0% | 9.3h | Low sample |
| ZD Net | news | 1 | 1 | 1% | 0.01 | 0% | 7.4h | Stable |
| Ars Technical All News | news | 0 | 5 | 10% | 0.05 | 0% | 8.3h | Stable |
| Bloomberg Markets | news | 0 | 5 | 34% | 0.14 | 0% | 7.7h | Stable |
| Daring Fireball | commentary | 0 | 5 | ~12% | ~0.05 | ~0% | 7.9h | Low sample |
| Guardian | news | 0 | 5 | 6% | 0.02 | 0% | 11.8h | Stable |
| Medium AI (keyword) | commentary | 0 | 5 | 6% | 0.03 | 0% | 0.8h | Stable |
| NYT front page | news | 0 | 5 | 6% | 0.02 | 0% | 10.3h | Stable |
| Seeking Alpha News | commentary | 0 | 5 | 14% | 0.07 | 0% | 1.1h | Stable |
| The Atlantic | news | 0 | 5 | 2% | 0.02 | 0% | 8.8h | Stable |
| The Verge | news | 0 | 5 | 9% | 0.05 | 0% | 6.2h | Stable |
| TechCrunch | news | 0 | 4 | 19% | 0.08 | 0% | 8.5h | Stable |
| AI Daily Brief YT podcast | commentary | 0 | 2 | Collecting data | Collecting data | Collecting data | 7.7h | Collecting |
| WSJ Social Economy | news | 0 | 2 | ~12% | ~0.07 | ~0% | 5.5h | Low sample |
| Cassandra Unchained by Michael J Bury | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 11.6h | Collecting |
| Closing Line Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.4h | 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 | 4.7h | Collecting |
| Economist: Leaders | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.1h | Collecting |
| Economist: United States | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.0h | Collecting |
| Futurism | news | 0 | 1 | 21% | 0.07 | 1% | 8.1h | Stable |
| Reddit R/Ethereum | news | 0 | 1 | ~11% | ~0.06 | ~0% | 3.0h | Low sample |
| Tom’s Hardware | news | 0 | 1 | 10% | 0.05 | 1% | 9.4h | Stable |
Source: MyFT
Type: news
Included: 2
Scored: 5
28d Digest Rate: 30%
28d Avg Score: 0.10
28d Hotlist Hit: 0%
7d Article Age: 8.6h
28d Confidence: Stable
Source: Zero Hedge
Type: commentary
Included: 2
Scored: 5
28d Digest Rate: 32%
28d Avg Score: 0.13
28d Hotlist Hit: 0%
7d Article Age: 11.0h
28d Confidence: Stable
Source: Outside Law School Scam - Comments
Type: commentary
Included: 2
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 19.9h
28d Confidence: Collecting
Source: Bogleheads forum
Type: news
Included: 1
Scored: 5
28d Digest Rate: 6%
28d Avg Score: 0.03
28d Hotlist Hit: 1%
7d Article Age: 1.0h
28d Confidence: Stable
Source: Medium Artificial Intelligence (keyword)
Type: commentary
Included: 1
Scored: 5
28d Digest Rate: 7%
28d Avg Score: 0.04
28d Hotlist Hit: 0%
7d Article Age: 0.8h
28d Confidence: Stable
Source: Reddit R/Bitcoin
Type: news
Included: 1
Scored: 5
28d Digest Rate: 23%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 23.6h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 5
28d Digest Rate: 15%
28d Avg Score: 0.09
28d Hotlist Hit: 0%
7d Article Age: 10.2h
28d Confidence: Stable
Source: WSJ Tech
Type: news
Included: 1
Scored: 4
28d Digest Rate: 25%
28d Avg Score: 0.12
28d Hotlist Hit: 0%
7d Article Age: 8.7h
28d Confidence: Stable
Source: FT Alphaville
Type: news
Included: 1
Scored: 2
28d Digest Rate: ~7%
28d Avg Score: ~0.05
28d Hotlist Hit: ~0%
7d Article Age: 5.4h
28d Confidence: Low sample
Source: CFTC General
Type: policy_release
Included: 1
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: Wired AI News
Type: news
Included: 1
Scored: 1
28d Digest Rate: ~9%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 9.3h
28d Confidence: Low sample
Source: ZD Net
Type: news
Included: 1
Scored: 1
28d Digest Rate: 1%
28d Avg Score: 0.01
28d Hotlist Hit: 0%
7d Article Age: 7.4h
28d Confidence: Stable
Source: Ars Technical All News
Type: news
Included: 0
Scored: 5
28d Digest Rate: 10%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 8.3h
28d Confidence: Stable
Source: Bloomberg Markets
Type: news
Included: 0
Scored: 5
28d Digest Rate: 34%
28d Avg Score: 0.14
28d Hotlist Hit: 0%
7d Article Age: 7.7h
28d Confidence: Stable
Source: Daring Fireball
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: ~12%
28d Avg Score: ~0.05
28d Hotlist Hit: ~0%
7d Article Age: 7.9h
28d Confidence: Low sample
Source: Guardian
Type: news
Included: 0
Scored: 5
28d Digest Rate: 6%
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: 6%
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: 6%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 10.3h
28d Confidence: Stable
Source: Seeking Alpha News
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 14%
28d Avg Score: 0.07
28d Hotlist Hit: 0%
7d Article Age: 1.1h
28d Confidence: Stable
Source: The Atlantic
Type: news
Included: 0
Scored: 5
28d Digest Rate: 2%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 8.8h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 0
Scored: 5
28d Digest Rate: 9%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 6.2h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 0
Scored: 4
28d Digest Rate: 19%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 8.5h
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: 7.7h
28d Confidence: Collecting
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 2
28d Digest Rate: ~12%
28d Avg Score: ~0.07
28d Hotlist Hit: ~0%
7d Article Age: 5.5h
28d Confidence: Low sample
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: 11.6h
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: 7.4h
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: 4.7h
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: 9.1h
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: 6.0h
28d Confidence: Collecting
Source: Futurism
Type: news
Included: 0
Scored: 1
28d Digest Rate: 21%
28d Avg Score: 0.07
28d Hotlist Hit: 1%
7d Article Age: 8.1h
28d Confidence: Stable
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~11%
28d Avg Score: ~0.06
28d Hotlist Hit: ~0%
7d Article Age: 3.0h
28d Confidence: Low sample
Source: Tom’s Hardware
Type: news
Included: 0
Scored: 1
28d Digest Rate: 10%
28d Avg Score: 0.05
28d Hotlist Hit: 1%
7d Article Age: 9.4h
28d Confidence: Stable
Private capital firms are betting that Nvidia's artificial intelligence chips will maintain their value over the coming years.
Keywords: Nvidia, AI chips, private capital, financial risk, valuation
According to WSJ US Business, Cisco reported a sharp jump in profit as artificial intelligence orders rolled in. Chief Executive Chuck Robbins stated that customers recognize the risk of falling behind if they pause or slow down.
Keywords: Cisco, AI orders, Chuck Robbins, artificial intelligence, profit
A Reddit post from the r/Bitcoin community links to an external article titled "Taiwan Lawmaker Puts Bitcoin Reserve Odds at 80% in Five Years" and includes submission details and a discussion thread link.
Keywords: Taiwan, Bitcoin, Crypto Reserve, Lawmaker, Cryptocurrency
Wealth managers are cutting fees to attract equity-rich tech workers at companies such as Anthropic and OpenAI, shifting negotiating power toward these clients.
Keywords: wealth management, artificial intelligence, Anthropic, OpenAI, fees, tech workers
According to an article by Nick Ward published on Bitcoin Magazine via Zero Hedge, the market narrative that Bitcoin miners are abandoning operations to pivot toward AI data centers misunderstands the differing infrastructure needs of the two technologies. While AI requires fragile, high-grade baseload power and ultra-low latency, Bitcoin mining is location-agnostic and can operate off-grid. As AI hyperscalers buy up prime, grid-tied power real estate and price Bitcoin off the main electrical grid, miners are being pushed to utilize stranded, off-grid energy sources like flared natural gas and excess wind power. Additionally, hybrid data center models and AI hosting leases provide operators with steady USD cash flow, eliminating forced Bitcoin treasury liquidations during bear markets. The article concludes that this shift is a market optimization rather than a loss for Bitcoin, and suggests that tech hyperscalers may eventually hold Bitcoin as a scarce monetary reserve asset against depreciating fiat cash.
Keywords: AI hyperscalers, Bitcoin mining, energy infrastructure, power grid, digital scarcity, treasury productivity
This paywalled news article from FT Alphaville is titled "The hyperscalers’ exploding purchase commitments" and briefly discusses the theme of spending now and spending more later.
Keywords: hyperscalers, purchase commitments, capital expenditure, cloud computing
Cloud-computing company CoreWeave saw its stock surge by 19%, which lifted other shares associated with the artificial-intelligence build-out.
Keywords: CoreWeave, stock surge, artificial intelligence, cloud computing, market news
The commenter asserts that a college degree has depreciated in value to the level of a high school diploma from a century ago, yet students continue to be heavily pressured to attend college and pursue any major. Consequently, this leads to an annual cycle of hand-wringing and gloomy reports regarding unemployed college graduates every May.
Keywords: college degree, higher education, unemployed graduates, student debt
The article discusses how artificial intelligence has made content cheap, arguing that judgment, expertise, and trust represent the new digital advantage, while most digital creators may remain broke due to the monetization delusion.
Keywords: AI, Monetization, Digital Creators, Content Creation, Expertise
According to the IEA's latest forecast, the global oil deficit is expected to reach 1.8 million barrels per day (bpd) this quarter, with a total annual supply deficit of 1.27 million bpd projected for 2026. The IEA slashed its 2026 global oil supply forecast to 102.02 million bpd due to factors such as the continued closure of the Strait of Hormuz, a U.S. blockade of Iranian exports, regional attacks, and reduced Kazakh exports. The supply shock is also driving global oil consumption to contract by 1.6 million bpd this year, while global inventories have fallen by 410 million barrels since the Iran war began. Additionally, the IEA forecasts that supply could exceed demand by 4.61 million bpd in 2027, assuming a de-escalation of Middle East hostilities and a recovery in disrupted oil flows.
Keywords: IEA, oil deficit, Strait of Hormuz, global oil supply, commodity prices, energy market
The article discusses the impact of the 2005 Bankruptcy Abuse Prevention and Consumer Protection Act (BAPCPA), which extended bankruptcy-proofing to private student loans without providing the borrower protections found in federal loans. The author explains how private lenders previously filled gaps above Stafford limits by requiring cosigners, potentially risking the financial well-being of students' parents. The piece argues that capping federal borrowing without simultaneously regulating private loans—such as by prohibiting cosigners and allowing private student loans to be discharged in bankruptcy—will likely fail to lower tuition costs and instead shift greater borrowing burdens onto families.
Keywords: BAPCPA, student loans, GradPLUS, private lenders, bankruptcy, tuition
A user on the Bogleheads forum expresses concern over a potential "soft default" by the US government driven by high inflation, understated CPI metrics, and taxes eroding treasury returns. The user suggests stocks and gold as potential hedges and recommends reading specific articles on global money notes regarding portfolio allocation.
Keywords: retirement concentration, US Government, inflation, soft default, treasuries, portfolio allocation
On August 12, 2026, the Commodity Futures Trading Commission's Division of Market Oversight issued an advisory to remind designated contract markets of their regulatory obligations when submitting self-certifications for market-maker, liquidity, trading, or incentive programs under CFTC Regulations 40.5 and 40.6. The advisory addresses procedural and substantive deficiencies found in recent incentive-program rule filings, particularly regarding event contract products, which can hinder staff evaluations of program terms and compliance with core principles and Commission requirements. The guidance details staff expectations for initial submissions, amendments, and submission procedures.
Keywords: CFTC, prediction markets, incentive programs, regulation
As agentic AI alters the workplace by automating routine tasks, business and technology leaders note a shift in labor demand away from narrow specialists toward adaptable professionals often described as polymaths or versatilists. While generalists are considered too broad, experts emphasize that successful workers will combine deep subject expertise with the ability to direct, question, and correct AI agents across multiple areas. This combination of adaptability and specialized judgment allows human workers to handle tasks that AI cannot replicate, such as making high-level strategic decisions and applying nuanced, experience-based insights.
Keywords: AI agents, workplace, versatility, tech stack, employment
According to sources familiar with the matter, White House officials are planning to revise and expand the Trump administration's artificial intelligence guidelines to include open models once they reach frontier capabilities, subjecting them to prerelease safety testing. The framework is currently voluntary, as President Donald Trump opposes formal regulation that could aid China in the AI race, though officials are grappling with potential market distortions and national security concerns. Additionally, the text covers takeaways from recent Democratic and GOP primary elections in Wisconsin, Minnesota, and South Carolina, noting varying outcomes for candidates who received Trump endorsements and implications for voter turnout in the upcoming midterms.
Keywords: White House, AI policy, open models, regulation, technology