Phase 3: Frontier Governance · ~45 minutes · Python (stdlib · three-framework decision-table diff tool)

OpenAI Preparedness Framework and DeepMind Frontier Safety Framework

OpenAI Preparedness Framework v2 (April 2025) introduces Research Categories — Long-range Autonomy, Sandbagging, Autonomous Replication and Adaptation, Undermining Safeguards — distinct from Tracked Categories.

Hiring signal: Can operate openai preparedness framework and deepmind frontier safety framework in production

Introduction

Tracked Categories trigger Capabilities Reports plus Safeguards Reports reviewed by the Safety Advisory Group. DeepMind's FSF v3 (September 2025, with Tracked Capability Levels added April 17, 2026) folds autonomy into ML R&D and Cyber domains (ML R&D autonomy level 1 = fully automate the AI R&D pipeline at competitive cost vs human + AI tools). FSF v3 explicitly addresses deceptive alignment via automated monitoring for instrumental-reasoning misuse. The honest note: Research Categories in PF v2 (including Long-range Autonomy) do not automatically trigger mitigations; the policy language is "potential." DeepMind itself says automated monitoring "will not remain sufficient long-term" if instrumental reasoning strengthens.

Type: Learn Languages: Python (stdlib, three-framework decision-table diff tool) Prerequisites: Phase 15 · 19 (Anthropic RSP) Time: ~45 minutes

Objective

Learning objectives

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