On Testifying on Misaligned AI in the U.S. Senate
Apollo Research CEO testifies to the U.S. Senate that scheming detection tools are degrading and urges four steps before models learn to hide deception.
Research
Apollo Research
Understanding and evaluating deceptive AI. apolloresearch.ai
Focus All
Topic Strategy & forecasting
Source Apollo Research · 4
Date Any time
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A Loss of Control Threat Map for AI Research and Development
Presents a threat map tracing pathways from using AI to automate AI R&D toward loss of control, including misalignment passing across successive AI generations.
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The Loss of Control Playbook: Degrees, Dynamics, and Preparedness
Proposes a taxonomy and preparedness framework for loss of control over advanced AI, defining degrees and dynamics to help policymakers and governments prepare for national security threats.
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Forecasting Frontier Language Model Agent Capabilities
Compares six methods for forecasting frontier LM agent benchmark scores ahead of time, using Chatbot Arena Elo and compute, backtested on OpenLLM v2 models, to anticipate dangerous capabilities on SWE-Bench, Cybench and RE-Bench.