Scored 144 articles from 111 feeds; 15 included in digest.
Run ID: run-1788465289565
Generated: September 03, 2026 at 03:57 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 |
|---|---|---|---|---|---|---|---|---|
| Bloomberg Markets | news | 2 | 5 | 29% | 0.11 | 0% | 7.4h | Stable |
| MyFT | news | 2 | 5 | 30% | 0.10 | 0% | 7.7h | Stable |
| Venture Beat | commentary | 2 | 5 | ~28% | ~0.12 | ~0% | 4.2h | Low sample |
| WSJ Tech | news | 2 | 5 | 26% | 0.11 | 0% | 7.4h | Stable |
| Economist: Finance & Economics | news | 2 | 3 | Collecting data | Collecting data | Collecting data | 12.1h | Collecting |
| Futurism | news | 1 | 5 | 18% | 0.06 | 0% | 7.7h | Stable |
| WSJ US Business | news | 1 | 5 | 20% | 0.08 | 0% | 10.4h | Stable |
| Wired AI News | news | 1 | 5 | ~15% | ~0.05 | ~0% | 8.9h | Low sample |
| Zero Hedge | commentary | 1 | 5 | 32% | 0.11 | 0% | 11.0h | Stable |
| Ars Technical All News | news | 1 | 1 | 4% | 0.03 | 0% | 9.5h | Stable |
| Bogleheads forum | news | 0 | 5 | 6% | 0.02 | 0% | 1.4h | Stable |
| Economist: Asia | news | 0 | 5 | Collecting data | Collecting data | Collecting data | 6.1h | Collecting |
| Economist: Business | news | 0 | 5 | Collecting data | Collecting data | Collecting data | 10.9h | Collecting |
| Economist: Leaders | news | 0 | 5 | Collecting data | Collecting data | Collecting data | 13.3h | Collecting |
| Guardian | news | 0 | 5 | 4% | 0.02 | 0% | 12.3h | Stable |
| Medium AI (keyword) | commentary | 0 | 5 | 8% | 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 | 10% | 0.02 | 0% | 10.6h | Stable |
| R/Scams | commentary | 0 | 5 | Collecting data | Collecting data | Collecting data | 12.0h | Collecting |
| Seeking Alpha News | commentary | 0 | 5 | 17% | 0.05 | 0% | 1.3h | Stable |
| TechCrunch | news | 0 | 5 | 23% | 0.08 | 0% | 6.9h | Stable |
| The Atlantic | news | 0 | 5 | 4% | 0.01 | 0% | 8.5h | Stable |
| The Verge | news | 0 | 5 | 6% | 0.02 | 0% | 9.2h | Stable |
| Tom’s Hardware | news | 0 | 5 | 10% | 0.05 | 0% | 9.1h | Stable |
| WSJ Social Economy | news | 0 | 5 | 16% | 0.05 | 0% | 6.4h | Stable |
| Economist: Europe | news | 0 | 3 | Collecting data | Collecting data | Collecting data | 9.6h | Collecting |
| Economist: United States | news | 0 | 3 | Collecting data | Collecting data | Collecting data | 10.0h | Collecting |
| Daring Fireball | commentary | 0 | 2 | ~10% | ~0.03 | ~0% | 7.5h | Low sample |
| Economist: China | news | 0 | 2 | Collecting data | Collecting data | Collecting data | 4.9h | Collecting |
| El Reg Offbeat | news | 0 | 2 | Collecting data | Collecting data | Collecting data | 10.8h | Collecting |
| NYT Economy | news | 0 | 2 | Collecting data | Collecting data | Collecting data | 4.5h | Collecting |
| Ars Technica All Features | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.5h | Collecting |
| Economist: Sci & Tech | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 3.5h | Collecting |
| FRB All Speeches | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 6.4h | Collecting |
| FRB All working papers | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 4.4h | Collecting |
| FRBNY Liberty Street | policy_release | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.4h | Collecting |
| FT Alphaville | news | 0 | 1 | ~20% | ~0.07 | ~0% | 3.2h | Low sample |
| Next Event Horizon Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 8.9h | Collecting |
| Noahpinion | commentary | 0 | 1 | Collecting data | Collecting data | Collecting data | 7.2h | Collecting |
| Popular Information Substack | news | 0 | 1 | Collecting data | Collecting data | Collecting data | 9.4h | Collecting |
| Reddit R/Ethereum | news | 0 | 1 | ~6% | ~0.03 | ~0% | 3.1h | Low sample |
| a16z | other | 0 | 1 | Collecting data | Collecting data | Collecting data | 5.6h | Collecting |
Source: Bloomberg Markets
Type: news
Included: 2
Scored: 5
28d Digest Rate: 29%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 7.4h
28d Confidence: 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: 7.7h
28d Confidence: Stable
Source: Venture Beat
Type: commentary
Included: 2
Scored: 5
28d Digest Rate: ~28%
28d Avg Score: ~0.12
28d Hotlist Hit: ~0%
7d Article Age: 4.2h
28d Confidence: Low sample
Source: WSJ Tech
Type: news
Included: 2
Scored: 5
28d Digest Rate: 26%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 7.4h
28d Confidence: Stable
Source: Economist: Finance & Economics
Type: news
Included: 2
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 12.1h
28d Confidence: Collecting
Source: Futurism
Type: news
Included: 1
Scored: 5
28d Digest Rate: 18%
28d Avg Score: 0.06
28d Hotlist Hit: 0%
7d Article Age: 7.7h
28d Confidence: Stable
Source: WSJ US Business
Type: news
Included: 1
Scored: 5
28d Digest Rate: 20%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 10.4h
28d Confidence: Stable
Source: Wired AI News
Type: news
Included: 1
Scored: 5
28d Digest Rate: ~15%
28d Avg Score: ~0.05
28d Hotlist Hit: ~0%
7d Article Age: 8.9h
28d Confidence: Low sample
Source: Zero Hedge
Type: commentary
Included: 1
Scored: 5
28d Digest Rate: 32%
28d Avg Score: 0.11
28d Hotlist Hit: 0%
7d Article Age: 11.0h
28d Confidence: Stable
Source: Ars Technical All News
Type: news
Included: 1
Scored: 1
28d Digest Rate: 4%
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: 6%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 1.4h
28d Confidence: Stable
Source: Economist: Asia
Type: news
Included: 0
Scored: 5
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 6.1h
28d Confidence: Collecting
Source: Economist: Business
Type: news
Included: 0
Scored: 5
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.9h
28d Confidence: Collecting
Source: Economist: Leaders
Type: news
Included: 0
Scored: 5
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 13.3h
28d Confidence: Collecting
Source: Guardian
Type: news
Included: 0
Scored: 5
28d Digest Rate: 4%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 12.3h
28d Confidence: Stable
Source: Medium AI (keyword)
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 8%
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: 10%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 10.6h
28d Confidence: Stable
Source: R/Scams
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 12.0h
28d Confidence: Collecting
Source: Seeking Alpha News
Type: commentary
Included: 0
Scored: 5
28d Digest Rate: 17%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 1.3h
28d Confidence: Stable
Source: TechCrunch
Type: news
Included: 0
Scored: 5
28d Digest Rate: 23%
28d Avg Score: 0.08
28d Hotlist Hit: 0%
7d Article Age: 6.9h
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: 8.5h
28d Confidence: Stable
Source: The Verge
Type: news
Included: 0
Scored: 5
28d Digest Rate: 6%
28d Avg Score: 0.02
28d Hotlist Hit: 0%
7d Article Age: 9.2h
28d Confidence: Stable
Source: Tom’s Hardware
Type: news
Included: 0
Scored: 5
28d Digest Rate: 10%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 9.1h
28d Confidence: Stable
Source: WSJ Social Economy
Type: news
Included: 0
Scored: 5
28d Digest Rate: 16%
28d Avg Score: 0.05
28d Hotlist Hit: 0%
7d Article Age: 6.4h
28d Confidence: Stable
Source: Economist: Europe
Type: news
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.6h
28d Confidence: Collecting
Source: Economist: United States
Type: news
Included: 0
Scored: 3
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.0h
28d Confidence: Collecting
Source: Daring Fireball
Type: commentary
Included: 0
Scored: 2
28d Digest Rate: ~10%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 7.5h
28d Confidence: Low sample
Source: Economist: China
Type: news
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.9h
28d Confidence: Collecting
Source: El Reg Offbeat
Type: news
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 10.8h
28d Confidence: Collecting
Source: NYT Economy
Type: news
Included: 0
Scored: 2
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 4.5h
28d Confidence: Collecting
Source: Ars Technica All Features
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 9.5h
28d Confidence: Collecting
Source: Economist: Sci & Tech
Type: news
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 3.5h
28d Confidence: Collecting
Source: FRB All Speeches
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: 6.4h
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: 4.4h
28d Confidence: Collecting
Source: FRBNY Liberty Street
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: 7.4h
28d Confidence: Collecting
Source: FT Alphaville
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~20%
28d Avg Score: ~0.07
28d Hotlist Hit: ~0%
7d Article Age: 3.2h
28d Confidence: Low sample
Source: Next Event Horizon 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: 8.9h
28d Confidence: Collecting
Source: Noahpinion
Type: commentary
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 7.2h
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: 9.4h
28d Confidence: Collecting
Source: Reddit R/Ethereum
Type: news
Included: 0
Scored: 1
28d Digest Rate: ~6%
28d Avg Score: ~0.03
28d Hotlist Hit: ~0%
7d Article Age: 3.1h
28d Confidence: Low sample
Source: a16z
Type: other
Included: 0
Scored: 1
28d Digest Rate: Collecting data
28d Avg Score: Collecting data
28d Hotlist Hit: Collecting data
7d Article Age: 5.6h
28d Confidence: Collecting
Nvidia is set to buy the open-source AI platform Hugging Face for $13 billion. Previously, the model and data repository turned down a large investment from Jensen Huang's chip group in order to maintain its independence.
Keywords: Nvidia, Hugging Face, Artificial Intelligence, Acquisition, Valuation
Nvidia is acquiring Hugging Face for $13 billion and states that the AI hub will remain open under its control.
Keywords: Nvidia, Hugging Face, acquisition, artificial intelligence, valuation
According to WSJ Tech, AI spending is increasing alongside guesswork, and Nvidia has agreed to acquire Hugging Face for $13 billion.
Keywords: AI spending, Nvidia, Hugging Face, valuation, speculation
Nvidia has officially agreed to acquire Hugging Face for nearly $13 billion, marking a significant investment in open-source AI and developer tools. The acquisition highlights Nvidia's strategy to expand its presence in generative AI software alongside its hardware infrastructure, while committing to maintain Hugging Face's open standards. Hugging Face, founded a decade ago, evolved into a major platform for sharing code, datasets, and large language models, and has raised nearly $400 million in venture capital funding.
Keywords: Nvidia, Hugging Face, Acquisition, Artificial Intelligence, Open-Source
Following its acquisition of Spirit AeroSystems in December, Boeing has uncovered large, previously unidentified liabilities.
Keywords: Boeing, Spirit AeroSystems, Acquisition, Financial liabilities
According to Bloomberg Markets, filings from pension funds and insurers worldwide indicate that many major holders of US assets lack protection against a weaker dollar. This leaves the currency vulnerable to steeper declines if market sentiment suddenly shifts.
Keywords: dollar exposure, pension funds, insurers, foreign exchange risk, currency selloff, US assets
According to a PricewaterhouseCoopers analysis cited by Bloomberg, global spending on data centers could reach between $31.6 trillion and $50 trillion by 2050, with over $15 trillion concentrated in the US. While institutional investors continue to pour capital into the technology industry despite modest economic returns, non-data center construction spending in the US has declined as data center construction soars.
Keywords: data centers, funding, compute needs, AI spending, economy
Chicago Mayor Brandon Johnson has projected an $882 million budget deficit for 2027 while his administration works to address the current year's shortfall, highlighting ongoing financial challenges for the city.
Keywords: Chicago, budget deficit, pension costs, bonds, municipal finance
China has tightened its export controls on critical industrial metals such as gallium, germanium, and antimony, prompting Western governments to accelerate efforts to rebuild domestic supply chains. According to BMO analyst George Heppel, the Russia-Ukraine war is driving massive demand for drone and counter-drone technologies, which are projected to consume over 4% of global germanium demand (about 15 metric tons), alongside significant quantities of gallium and neodymium-iron-boron magnets. This surge in military drone deployment, coupled with Chinese supply restrictions, highlights Western vulnerabilities and increases the priority of securing non-Chinese critical mineral sources. The article also notes various publicly traded companies offering exposure to the critical minerals and rare earths theme, including MP Materials, Neo Performance Materials, Energy Fuels, Rio Tinto, Alcoa, Teck Resources, Ivanhoe Mines, and Almonty Industries.
Keywords: Germanium, Gallium, Rare Earths, Drone Warfare, China, Supply Chain, MP Materials
OpenAI has launched GPT-6 Astra, a new frontier model positioned as a significant step toward artificial generalized intelligence (AGI) and capable of directly operating computers through keyboards, mice, and pixels rather than relying on dedicated API integrations. The model is designed to navigate software, execute multistep workflows across various applications, and handle tasks ranging from everyday enterprise work to advanced scientific problem-solving and software engineering. Astra is rolling out to enterprise customers through OpenAI's Daybreak access program and will soon become available to ChatGPT users and cloud platforms. Additionally, OpenAI designated Astra as reaching its Critical cybersecurity threshold for its ability to find unknown vulnerabilities, noting that its most advanced cyber capabilities will initially be restricted and prioritized for trusted defenders.
Keywords: OpenAI, GPT-6 Astra, AGI, Greg Brockman, Stargate infrastructure, computer use model
Following Frasers Group's acquisition of the department store chain Harvey Nichols, luxury brands such as Chloé and Victoria Beckham are set to recover less than 15p in the pound, resulting in potential losses of millions.
Keywords: Harvey Nichols, Frasers Group, luxury brands, Chloé, Victoria Beckham, retail insolvency
According to Economist: Finance & Economics, attempts by Indian regulators to protect retail traders are backfiring, resulting in unintended consequences stemming from curbs on options trading.
Keywords: Indian regulators, retail traders, options trading, financial regulation, trading curbs
Nvidia has agreed to acquire the artificial intelligence platform Hugging Face for $13 billion, a move that enhances Nvidia's efforts to advance open-weight AI models that compete with OpenAI and Anthropic.
Keywords: Nvidia, Hugging Face, acquisition, artificial intelligence, open-weight models
Investors remain unconvinced by the policies of Mexican President Claudia Sheinbaum, struggling to win over bond markets.
Keywords: Mexico, bond markets, Claudia Sheinbaum, investors, economic policy
Meta has released Muse Spark 1.3, an AI model that features performance improvements over its predecessor, Muse Spark 1.2, particularly in long-running agent tasks and coding. The version currently rolling out broadly to developers through the Meta Model API uses existing reasoning settings, while the highest-performing max configuration, which achieved strong results on third-party benchmarks, is undergoing further safety testing and is not yet broadly available via an API provider. Meta's pricing for the model remains unchanged from the previous version. Meanwhile, Google released Gemini 3.8 Flash on the same day, prompting comparative evaluations on intelligence, task cost, throughput, and pricing. Additionally, Meta's release of Muse Spark 1.3 as a proprietary model follows previous mixed messaging regarding its open-weight roadmap, leaving the exact timeline and version details for forthcoming open-weight releases ambiguous.
Keywords: Meta, Muse Spark 1.3, Mark Zuckerberg, Artificial Intelligence, API Pricing, Benchmarks