Research2 sources
METR: Anthropic's Pace Roughly Doubled, Mostly From AI. Most Key Evidence Is Redacted
DEV Community: ai · By Gabriel Anhaia ·
Book: Observability for LLM Applications Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools Me: xgabriel.com |…
The Brief
- METR, a nonprofit research group, published an independent assessment on November 5, 2026, of how fast Anthropic's model capabilities are improving.
- The report says Anthropic's pace roughly doubled, with AI itself accounting for most of the gain.
- Most of the key evidence in the report is redacted.
Why it matters
The findings point to faster capability gains at Anthropic, but because most key evidence is redacted, developers cannot independently verify the claims from the published material.
Who’s affected
- Teams tracking Anthropic model progress
- #ai
- #anthropic
- #metr
- #model-evaluation
- #ai-progress
Timeline
METR publishes independent assessment of Anthropic model progress
DEV Community: ai
METR: Anthropic's Pace Roughly Doubled, Mostly From AI. Most Key Evidence Is Redacted
DEV Community: ai
METR Finds Anthropic Model Progress Accelerating, With AI Itself Accounting for Most of the Gain
Full coverage · 2 sources
- 14h ago ↗
DEV Community: ai
METR Finds Anthropic Model Progress Accelerating, With AI Itself Accounting for Most of the Gain - 14h ago ↗
DEV Community: ai
METR: Anthropic's Pace Roughly Doubled, Mostly From AI. Most Key Evidence Is Redacted
