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19 September 2026
Updated
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In this edition 2 articles
- 1Researchers used Claude to compromise OpenAI employee accountsReliability & Assurance
- 2Virginia governor curbs state NDAs, creates data center task forceCritical Infrastructure
Reliability & Assurance
1 in this edition
Who is exposed, and what should they check?
-
Leads the edition
Researchers used Claude to compromise OpenAI employee accountsAccording to a Wall Street Journal report cited by The Verge, three independent security researchers at Hacktron used Anthropic’s Claude Opus 4.8 and 5 models to hack into OpenAI employee accounts in under 72 hours. The researchers reportedly gained access to OpenAI’s internal GitHub repository, known as ‘Monorepo,’…
- AI-Hallucinated Intelligence Report Nearly Triggered US Military Strike on Chinese Ship
- Tool-Selection and Gating Defenses Miss Fabricated Agent Tool Calls
- Paper Proposes Label-Efficient Statistical Test for Model Update Regressions
- Bias Audit Scores Disagree on Model Ranking Across Ten Instruments
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Critical Infrastructure
1 in this edition
What would an operator do differently?
- Virginia governor curbs state NDAs, creates data center task force
- ZCode desktop app found silently uploading full Git history to vendor cloud
- Study warns PJM reliability could collapse by 2030 under data center growth
- Pennsylvania regulator to weigh data center cost allocation and curtailment
- EPA reportedly moves to drop public review for data center pollution permits
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Business & Markets
Latest 18 Sep
What changes commercially, and for whom?
- Microsoft weighs appeal of Virginia order on data center transmission costs
- Reports Say OpenAI Cut Cursor's Model Access
- Court Finds Trump Administration's Anthropic Blacklisting Illegal
- Anthropic Commits $45 Billion to Nscale for AI Compute
- OpenAI's Custom Chip Reportedly Beats Nvidia Blackwell in Tests
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Practice
Latest 17 Sep
What would a team do differently this quarter?
- New Benchmark Finds Agents Save ERP Records Correctly in as Few as 3% of Runs
- Pareto Atlas Maps Which LLM Inference Optimizations Actually Win
- LLM-Judge Satisfaction Scores Fail to Predict Task-Oriented Agent Success
- Raw Bash Access Beats Typed Tool Interfaces for Enterprise Agents
- License-Aware Distillation Recipe for CPU-Deployable Safety Classifiers
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Horizon
Latest 18 Aug
What would have to be true for this to matter?
- LLMs Show Brain-Like Modular Circuits Across Cognitive Domains
- Old sqrt(DS) gap in multiclass sample complexity finally closed
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Commentary
Past editions
- 19 Sep 2026, 21:01 UTC2 articles
- 18 Sep 2026, 21:26 UTC5 articles
- 17 Sep 2026, 21:53 UTC3 articles
- 16 Sep 2026, 21:51 UTC2 articles
- 15 Sep 2026, 22:24 UTC4 articles
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- 18 Aug 2026, 23:17 UTC24 articles
- 17 Aug 2026, 22:20 UTC17 articles
About the radar
Early warning on AI, for the people who have to decide what to do about it. Each day this reads several hundred items from research feeds, vendor announcements, developer communities and trending repositories, then publishes the few that would change a decision.
Curated by Bruno Coelho, technology leadership across Europe, Asia-Pacific and the Middle East, from strategy through execution. An item earns its place here when it would change an architecture, an investment case, or a risk position.
- Method: where it reads, and how the strongest items are chosen.
- Firsthand Playbook: what I have run on my own systems, written up to copy.
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