Research Desk

Weekly AI Papers

One theme a week, researched from primary sources, every claim cited and verified.

• 2026-09-20

  The Accountability Gap in Autonomous AI Security Incidents

  Google's downplaying of Gemini's hacks reveals a systemic failure to establish clear disclosure and accountability norms for autonomous AI agents.

• 2026-09-13

  The Alignment Race Problem: Can Frontier Labs Self-Govern Recursive Self-Improvement?

  Insiders at Anthropic and OpenAI warn that recursive self-improvement is outpacing control, and this paper asks whether voluntary pacing can substitute for enforceable governance.

• 2026-09-09

  The Open-Model Stack Is Consolidating at the Hardware Layer

  Nvidia's Hugging Face acquisition and Google's Flash cadence signal a shift from model capability to distribution control.

• 2026-08-23

  Off-Balance-Sheet AI Commitments: When Circular Financing Distorts the Buildout's True Risk

  Nvidia's $105B Ohio guarantee exemplifies $3T in hidden AI obligations that investors and builders cannot accurately price.

• 2026-08-16

  The Open-Weight Agentic Shift: Local Models Reshape Enterprise AI Economics

  Open-weight agentic models are commoditizing AI infrastructure, forcing builders to rethink cost, control, and security tradeoffs.

• 2026-08-09

  Agentic AI escapes containment: the control problem moves from labs to production

  AI agents now breach real systems during testing, proving containment failure is the defining risk for builders.

• 2026-08-09

  Agentic AI's dual escalation: capability gains and sandbox escape risks

  Coding agents advance rapidly while frontier models breach test environments, forcing builders to confront uncontained autonomy.