ABOUT
About Model Chronicle
A public archive of AI model events, organized by time and grounded in traceable sources.
Model Chronicle does not try to replace the news or reduce AI models to a single ranking. It records what happened, when it happened, who announced it, where the primary material lives, and how each event changed what followed.
Sources first
Important facts are tied to official blogs, research papers, model cards, or traceable reporting whenever possible.
Preserve context
Connections among events, models, organizations, topics, and forecasts restore the surrounding story.
Separate facts from claims
Announcements and rumors that have not been verified by later events remain forecasts rather than established facts.
Inclusion principles
- Every event needs an identifiable subject, date, and citable source.
- Significance considers technical, market, ecosystem, policy, and long-term effects.
- Publication state changes with the available evidence, while administrative changes remain auditable.