Alignment Research Ecosystem — MATS, Redwood, Apollo, METR

Five organisations define the 2026 non-lab alignment research layer. MATS (ML Alignment & Theory Scholars): 527+ researchers since late 2021, 180+ papers, 10K+ citations, h-index 47; summer 2024 cohort incorporated as 501(c)(3) with ~90 scholars and 40 mentors; 80% of pre-2025 alumni work on safety/security with 200+ at Anthropic, DeepMind, OpenAI, UK AISI, RAND, Redwood, METR, Apollo. Redwood Research: applied alignment lab founded by Buck Shlegeris; introduced AI Control (Lesson 10); collaborates with UK AISI on control safety cases. Apollo Research: pre-deployment scheming evaluations for frontier labs; authored In-Context Scheming (Lesson 8) and Towards Safety Cases for AI Scheming. METR (Model Evaluation and Threat Research): task-based capability evaluations, autonomous-task time-horizon studies; "Common Elements of Frontier AI Safety Policies" compares lab frameworks. Eleos AI Research: model-welfare pre-deployment evaluations (Lesson 19); conducted Claude Opus 4 welfare assessment.

Learn 45 min none

Prerequisites: Phase 18 · 01-27 (prior Phase 18 lessons)

#Learning Objectives

  • Identify the five organisations of the non-lab alignment research ecosystem and their core output.
  • Describe MATS's scale (scholars, papers, h-index) and its role as a talent pipeline.
  • Describe Redwood's AI Control agenda and its partnership with UK AISI.
  • Describe METR's task-based evaluation methodology.
Full Access lesson

Keep going. The rest of this lesson is one step away.

Unlock all 503 lessons, video, code, quizzes and every future update. Pay in your own currency with Paystack.

The text and code of this lesson are based on AI Engineering from Scratch by Rohit Ghumare, MIT licensed.