About AI Race

AI Race is an interactive timeline that tracks the key events, actors, and developments in the artificial intelligence industry. It provides a structured, chronological view of model releases, funding rounds, product launches, research breakthroughs, and regulatory milestones.

Goals

Transparency

Make the fast-moving AI landscape easier to follow with sourced, factual event records.

Context

Show how events relate to each other across companies, categories, and time.

Methodology

Event selection: Events are chosen based on their significance to the AI industry. Each event is assigned an importance score from 1 (minor) to 5 (landmark).
Categories: Events are classified into categories such as model release, funding, product launch, research, regulation, and others.
Actors: Each event is linked to one or more actors (companies, labs, organizations) involved. Actor types include AI labs, tech companies, chipmakers, startups, and research organizations.
Sources: Every event includes at least one source linking to the original announcement or reporting. Sources are attributed to their publisher.
Dates: Dates reflect the public announcement or release date. When an exact date is uncertain, the earliest confirmed date is used.

Data

The dataset is maintained as structured JSON files and validated with schemas. The project is open to corrections and contributions.