Add in-depth pages for Motus, Cortex 2.0, Being-H0.7 (WAM+VLA hybrids)
Three new source-verified reviews of the WAM+VLA hybrid exemplars named
in NVIDIA's WAM blog:
- Review-MOTUS: THU-ML unified scheduled MoT (8B), optical-flow latent
actions, RoboTwin2.0 88.66% vs X-VLA/pi0.5, open weights (arXiv 2512.13030)
- Review-Cortex2: Sereact modular foresight-planning hybrid (WM+PRO scorer
+flow head, 30Hz), deployment-reported vs pi0.5 (arXiv 2604.20246)
- Review-Being-H07: BeingBeyond unified+reactive latent world-action model,
posterior/prior latent queries, no rollout at inference (arXiv 2605.00078)
Cross-linked from Review-VLA-Architecture §4.2b/§7, Review-NVIDIA-WAM-
Cosmos3 §2.6, Latest-Papers, and Reviews catalog.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
DYNA-2: cite Dyna's own tech report as primary source; replace 'nothing disclosed' framing with actual figures
Primary source corrected from PR-wire release to the company's technical
writeup (dyna.co/dyna-2), which discloses architecture (mixture-of-
transformers, flow matching), power-law fits with R², ablations, and
per-task results. Rewrote the review + Latest-Papers row accordingly:
real scaling fits (zero-shot robot MSE 0.306*D^-0.0713, R2=0.884),
on-robot 20->28->45->53%, lockbox 0->90%, language 35->67->96%, 90x
distillation. Caveat now: self-published, not peer-reviewed, no weights,
model size undisclosed (was: 'no technical report, unverifiable').
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Fix broken wikilinks in Latest-Papers table (escape pipe for GitHub-wiki table cells); surface latest-paper reviews in Reviews topic sections
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Add DYNA-2 in-depth review (Dyna Robotics World-Action Model launch)
Company announcement (Aug 10, 2026), not a paper: WAM on ~1M h human
egocentric video with no robot data in pre-training, joint next-frame+
next-action, claimed first human-to-robot scaling law smooth over
1k->1M h (~50x EgoScale), 87% vs 46% zero-shot over DYNA-1. Reviewed
with an explicit vendor-claim caveat (no technical paper/benchmark/
weights). Filed under Latest Papers; cross-linked from World-Models,
Human-Video-Transfer, Reviews.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Add Latest Papers tracker + omega-0 and Stellar VLA in-depth reviews
New Latest-Papers.md preprint tracker (pre-publication reviews) and two
figure-illustrated in-depth reviews: omega-0 (arXiv 2608.06375, whole-
body humanoid latent-predictive World Action Model; 81.8% on 11
household tasks vs 44.5% psi-0; ships 40h omega-HOME dataset) and
Stellar VLA (arXiv 2511.18085, continual imitation learning with a
Dirichlet-Process knowledge space + knowledge-routed MoE, 1% replay).
Cross-linked from Home, Reviews, sidebar, Humanoid-VLA, World-Models.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>