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Your high-signal briefing for today. The most consequential items come first.

1. U.S. FDA Approves Revolution Medicines’ RASONQUE™ (daraxonrasib), the First Broad RAS-Targeted Medicine in Metastatic Pancreatic Cancer - Yahoo Finance

The FDA has approved daraxonrasib (RASONQUE), the first broad RAS-targeted therapy for metastatic pancreatic cancer, a disease with historically very poor prognosis. RAS mutations drive the majority of pancreatic cancers and have long been considered undruggable. This approval marks a significant clinical milestone in oncology.

Why it matters: A first-in-class approval for one of the deadliest cancers is a landmark moment in medicine and cancer research that will reshape treatment standards.

Yahoo Finance · Read original →

2. Anthropic to rent AI computing power from Nscale for $45 billion, source says - Reuters

Anthropic has agreed to rent AI computing infrastructure from Nscale in a deal valued at $45 billion, according to a Reuters source. The scale of this agreement underscores the enormous and accelerating capital requirements for frontier AI model training and inference. It signals how AI compute procurement is becoming a major financial and strategic lever in the industry.

Why it matters: A $45B compute contract illustrates the extraordinary infrastructure economics now shaping the AI industry and raises important questions about market concentration and capital allocation.

Reuters · Read original →

3. AI to fuel global growth as investment spreads beyond US, IMF says

Source visual: Financial Times

The IMF's managing director Kristalina Georgieva stated that AI is expected to fuel global growth as investment spreads beyond the United States, even as the world economy navigates an energy crisis linked to an Iran war. The IMF's framing positions AI as a central driver of the next growth cycle rather than a peripheral technology trend. The statement also signals IMF confidence in economic resilience under current geopolitical stress.

Why it matters: An IMF macro-level endorsement of AI as a global growth engine carries weight for economists and policymakers tracking the intersection of technology and macroeconomic trajectories.

Financial Times · Read original →

4. Brad Setser (@Brad_Setser)

Brad Setser and Adam Tooze jointly respond to critics of their 'China Squeeze' thesis at the Peterson Institute, defending their argument that China's export-driven industrial strategy is creating deflationary pressure and trade tensions globally. The piece represents a significant exchange among top international economists on one of the most consequential ongoing debates in global trade economics.

8:00 AM, August 26 · View original → · Profile on X

5. “Workers Replaced by AI vs. Skilled Workers Boosting Their Market Value With AI”: How the Automation of Standardized Tasks Is Widening Income Inequality - economy.ac

A new analysis examines how AI-driven automation of standardized tasks is widening income inequality, distinguishing between workers who are displaced and skilled workers who leverage AI to increase their market value. The piece draws on economic research showing that returns to AI use are highly unequal across the labor market. This dynamic is amplifying existing wage polarization trends.

Why it matters: Labor market bifurcation driven by AI is a central concern in economics and public policy, with direct implications for inequality research and academic debate.

economy.ac · Read original →

6. Moonshot AI Said in Talks With Microsoft, Amazon, Google on Kimi K3 Revenue Sharing, Seeking Up to 30% Cut - TradingKey

Moonshot AI, the Chinese startup behind the Kimi K3 model, is reportedly in revenue-sharing negotiations with Microsoft, Amazon, and Google, seeking a cut of up to 30% from deployments on their platforms. The talks indicate that Chinese AI developers are actively pursuing distribution through major Western cloud providers. The reported revenue-share demand is notably aggressive and could set a precedent for how frontier AI models are licensed globally.

Why it matters: The negotiation highlights how Chinese AI firms are attempting to monetize globally and how platform-model revenue dynamics are being contested at the frontier.

Reuters · Read original →

7. NSF launches three new Science and Technology Centers with $90M investment in transformative research - U.S. National Science Foundation (.gov)

The U.S. National Science Foundation has launched three new Science and Technology Centers with a combined $90 million investment aimed at transformative research across multiple fields. These centers provide sustained, multi-year funding structures that support high-risk, high-reward academic research collaborations. The announcement represents a significant federal commitment to basic and applied science infrastructure.

Why it matters: Major NSF center funding directly affects the academic research ecosystem, shaping which scientific directions receive long-term institutional support.

U.S. National Science Foundation (.gov) · Read original →

Exposed API keys in the public code repositories of healthcare large language model research - nature.com

A Nature study found that public code repositories associated with healthcare large language model research contain exposed API keys, revealing a systematic security vulnerability at the intersection of clinical AI development and open-source practice.

Why it matters: Security failures in healthcare AI code repositories could expose sensitive systems and patient data, making this a critical finding for researchers and institutions deploying medical LLMs.

Nature · Read original →

No newly updated chart today; the next release of the Walmart tracker, Zillow data, GDP, or CPI will appear here.

Source notes: NEJM: HTTPError