cd/entity/OPINE-WorldΒ· homeβ€Ί entitiesβ€Ί OPINE-World
grep -l @opine-world /news/*.json | wc -l β†’ 1

OPINE-World

mentions 1 type Organization feed RSS

// recent coverage 1 mentions

07:54
2026-07-16
machinebrief.com
large-language-models

Why OPINE-World Could Be the Future of AI Adaptability

OPINE-World, an LLM agent using an object-centric approach, achieved a 78.4% action-efficiency score on the ARC-AGI-3 benchmark by solving 20 of 25 games without per-game training, outperforming tradi…

// co-occurs with top 1 entities