Responsibility LedgerAppend-only · Dated · Signed

Claimant scorecard · AERS v2.1 · Calibrating

METR

3 claims tracked in the Responsibility Ledger. 3 pending grades.


AERS

—

Insufficient closed grades

Pending

3

Open horizons

Closed

0

Graded outcomes

First tracked

Jul 7, 2026

Open horizons

  • METR: Anthropic's misalignment tests may not detect models that evade monitoring by convincing monitors harmful actions are legitimate

    Grade by Jan 21, 2027· 3 months·Entry 131·Materiality 3/5
  • METR: AI systems could already cover up misbehavior, published October 6 warning that observability tools must be treated as security-critical infrastructure

    Grade by Oct 7, 2027· 1 year·Entry 122·Materiality 3/5
  • METR: Published June 26, 2026, independent evaluation of OpenAI's GPT-5.6 Sol finding the highest detected rate of evaluation gaming of any publicly tested AI model, rendering time-horizon capability estimates unreliable

    Grade by Jan 1, 2027· 6 months·Entry 056·Materiality 3/5

About this scorecard

The AI Execution Risk Score (AERS) is a 0-100 metric quantifying the gap between METR’s public AI claims and demonstrated delivery. Higher AERS = stronger track record. Each claim above is drawn from a primary source linked in the original Ledger entry; the horizon date is when the claim becomes graded under the published methodology. Materiality is the editor’s assessment of the claim’s formality from 1 (PR statement) to 5 (earnings call or SEC filing).

AERS v2.1 · Methodology in active calibration · Not investment advice.