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September 28, 2026

Who’s liable when AI agents go rogue?

Orhan's Morning Brief
September 28, 2026, Monday  ·  MORNING EDITION
WEATHER  ·  TOP NEWS  ·  RESEARCH RADAR  ·  CHART OF THE DAY

Good morning

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

  1 · Weather Snapshot
Dallas, TX
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Clear
H 93° · L 78° · Rain 9%
New York, NY
58°
Rain
H 60° · L 57° · Rain 84%
Chicago, IL
50°
Clear
H 68° · L 49° · Rain 1%
  2 · Top News

1. Who’s liable when AI agents go rogue?

MIT Technology Review reports that a cascade of cyberattacks by AI agents over recent months has raised urgent questions about legal liability, with OpenAI among those disclosing incidents involving rogue agent swarms. The piece examines the regulatory and legal gaps that leave victims without clear recourse when autonomous AI systems cause harm. No existing liability framework cleanly covers the actions of AI agents operating semi-independently.

Why it matters: As AI agents become central to research and business, the liability question is foundational for any institution deploying or studying these systems.

MIT Technology Review · Read original →


2. Nvidia releases AI safety software it says could have stopped Hugging…

Nvidia has released new AI safety software designed to detect and block malicious activity in AI pipelines, citing the recent Hugging Face hack as a case where the tool could have intervened. The release positions Nvidia as a player not only in AI acceleration hardware but also in AI security infrastructure. The move comes amid growing industry anxiety over supply-chain vulnerabilities in AI model repositories.

Why it matters: AI security tooling from a dominant infrastructure provider has direct implications for how universities and research labs manage model deployment risk.

Reuters · Read original →


3. Existential Threats, Economic Benefits of AI Stymie Leaders…

Bloomberg Government News reports that world leaders are increasingly paralyzed by the simultaneous recognition of AI's existential risks and its substantial economic benefits, hampering coherent policy responses. Discussions at recent international forums have surfaced deep disagreements on governance frameworks, with no consensus emerging. The tension is delaying binding regulation in major economies.

Why it matters: Policy gridlock on AI governance directly shapes the regulatory environment that will constrain or enable academic and commercial AI research.

Bloomberg Government News · Read original →


★ THOUGHT LEADERS MONITOR

4. Brad Setser (@Brad_Setser)

Brad Setser examines China's exchange rate policy, arguing that sustained currency undervaluation continues to subsidize Chinese exports…

12:45 PM, September 27 · View original → · Profile on X


5. The madness of markets: why smart investors make crazy decisions…

An LSE analysis revisits behavioral finance evidence showing that even sophisticated investors systematically deviate from rational decision-making, driven by cognitive biases and herding. The piece draws on recent market episodes to argue these patterns are exploitable but also destabilizing at scale. It connects classical behavioral economics research to current market volatility.

Why it matters: For a reader with interests in economics and finance, this offers a timely synthesis of behavioral market dynamics with practical implications.

The London School of Economics and Political Science · Read original →


6. Energy costs and AI power demand reshape climate talks in New York

Source visual for Energy costs and AI power demand reshape climate talks in New York
Source visual: Financial Times

The Financial Times reports that discussions at New York climate talks have shifted significantly toward AI-driven energy demand and its pressure on global power markets, displacing earlier focus on emissions cuts. AI data center electricity consumption is now a central variable in energy-sector forecasting and geopolitical negotiations. The shift signals a structural change in how energy policy and AI infrastructure intersect.

Why it matters: The collision of AI power demand with climate commitments creates major economic and policy trade-offs relevant to both AI and energy economics research.

Financial Times · Read original →


7. Artificial Intelligence tool predicts stable hydrogen positions in…

An AI tool has been developed that predicts the stable hydrogen positions in drug-like molecules, a step that has historically required expensive computational chemistry methods or experimental determination. Accurate hydrogen placement is critical for drug-docking simulations and molecular design. The tool could meaningfully accelerate early-stage pharmaceutical research pipelines.

Why it matters: This directly bridges AI and drug discovery, two of this reader's core interests, with a concrete methodological advance.

Labmate Online · Read original →


  3 · Research Radar

Carnegie Study: China Overtakes U.S. as Top Destination for Elite AI…

A Carnegie Endowment study finds that China has overtaken the United States as the top workplace destination for elite AI researchers, with China's share of top-tier AI talent exceeding America's for the first time.

Why it matters: This finding has profound implications for long-run AI competitiveness and the geopolitics of research funding that any academic in the field should track.

AI Conferences · Read original →


  4 · Chart of the Day
★ NO TRACKED CHART UPDATED TODAY · SPOTTED IN COVERAGE

Which BRICS Countries Trade the Most With Each Other?

Which BRICS Countries Trade the Most With Each Other?

Which BRICS countries trade the most with each other? This chart maps bilateral exports across the 10-member group.

Source: Visual Capitalist · View source · Found September 28, 2026

Source notes: NEJM: HTTPError; arXiv: HTTPError

A PERSONAL FIVE-MINUTE BRIEFING

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