Introducing our Artifacts Hub and Adoption Dashboard

August 3, 2026 | Source: Interconnects (Nathan Lambert)

Tags: Hugging Face, open-source models, Interconnects, Nathan Lambert, model adoption, AI ecosystem

Interconnects (Nathan Lambert) launched two free tracking tools: an Artifacts Hub covering 792 open models with time-normalized adoption scores and inference metrics, and a daily-updating dashboard mapping global model downloads to visualize the US-China open-model gap.

Details

Interconnects, Nathan Lambert's AI newsletter, has expanded its open model coverage with two standalone tools. The Artifacts Hub aggregates data on 792 models released over the last two years, pulling inference token data from OpenRouter, quality scores from Artificial Analysis's Intelligence Index, and custom relative adoption metric (RAM) scores built on Hugging Face download data. Users can compare models by time-normalized adoption, check VAIL similarity indexes, and gauge how far behind frontier intelligence each model sits. The Adoption Dashboard focuses on macro-level trends: daily-updated download and derivative model counts by geography and organization. It directly visualizes the US-China adoption gap first highlighted in Lambert's ATOM Project report, and tracks emerging players in the open ecosystem. Both tools are free. The Artifacts Hub was built in collaboration with Project VAIL, an AI verification startup. The initiative reflects a growing need for structured third-party measurement of the open model ecosystem, as the volume of weekly releases makes manual tracking impractical.