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Sakana AI, in collaboration with MIT/NYU, published a study nominated for the GECCO 2026 Best Paper Award, which fully replicated the classic Picbreeder system using VLM agents to explore the key ingredients needed for open-endedness.

Sub-JEPA improves LeWorldModel by applying Gaussian regularization in frozen random orthogonal subspaces, consistently outperforming the original on benchmarks with up to +10.7 percentage points improvement.

Yann LeCun closed a $1.03B funding round for AMI Labs, followed by a new paper from his NYU collaborators introducing LeWorldModel, a lightweight JEPA-based world model that runs on a single GPU.