Mar 29, 2026 · Artificial Intelligence

Why AI Can’t Plan: LeCun’s Team Shows Time Is Curved in Latent Space

Yann LeCun’s team argues that current visual models fail at planning because their latent representations form highly curved temporal trajectories, making Euclidean distance unreliable; their new paper introduces a curvature regularizer to straighten these paths, enabling more accurate planning demonstrated on a challenging teleport maze.

Curvature RegularizerLatent PlanningTemporal Straightening

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Why AI Can’t Plan: LeCun’s Team Shows Time Is Curved in Latent Space

DataFunTalk

Nov 17, 2022 · Artificial Intelligence

Enhance the Visual Representation via Discrete Adversarial Training

The Alibaba AAIG team proposes Discrete Adversarial Training (DAT), which leverages VQGAN‑based discretization to generate natural‑looking adversarial samples that improve visual representation robustness and transferability across classification, self‑supervised learning, and object detection tasks without sacrificing accuracy, achieving new state‑of‑the‑art results on multiple benchmarks.

Computer VisionRobustnessVisual Representation

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Enhance the Visual Representation via Discrete Adversarial Training