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图灵奖获得者、 AI 三大教父之一的 LeCun在达沃斯的发言，算是把整个硅谷的遮羞布扯了。他说现在整个行业都被LLM彻底洗脑了，所有人都在同一条赛道上互相挖人，谁敢偏离主流谁就被骂落后。这也是他离开Meta的真正原因，连Meta都已经LLM-pilled，他不想再跟风了。 …

图灵奖获得者、 AI 三大教父之一的 LeCun在达沃斯的发言，算是把整个硅谷的遮羞布扯了。他说现在整个行业都被LLM彻底洗脑了，所有人都在同一条赛道上互相挖人，谁敢偏离主流谁就被骂落后。这也是他离开Meta的真正原因，连Meta都已经LLM-pilled，他不想再跟风了。最扎心的一句话是：纯生成式架构，不管是LLM、VLM还是VLA，永远造不出哪怕猫级的智能体。因为它们本质上只是下一个t

researchyann-lecun--x

24 Apr 2026

Search: “research”

A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting

A Kernel Nonconformity Score for Multivariate Conformal Prediction

A Multi-Stage Warm-Start Deep Learning Framework for Unit Commitment

A Multimodal Text- and Graph-Based Approach for Open-Domain Event Extraction from Documents

A Quantale-Weakness Route to P neq NP via CD Evidence Normalization and Gauge-Buffered Locked Ensembles

A Replicable Robotics Awareness Method Using LLM-Enabled Robotics Interaction: Evidence from a Corporate Challenge

A Scale-Adaptive Framework for Joint Spatiotemporal Super-Resolution with Diffusion Models

A single algorithm for both restless and rested rotting bandits

A temporal deep learning framework for calibration of low-cost air quality sensors

A Tendon-Driven Wrist Abduction-Adduction Joint Improves Performance of a 5 DoF Upper Limb Exoskeleton -- Implementation and Experimental Evaluation

Accelerating Vision Transformers with Adaptive Patch Sizes

Accurate predictive model of band gap with selected important features based on explainable machine learning

Achieving the Kesten-Stigum bound in the non-uniform hypergraph stochastic block model

Active Data

Active Learning for Planet Habitability Classification under Extreme Class Imbalance

Adaptive Test-Time Compute Allocation with Evolving In-Context Demonstrations

Addressing divergent representations from causal interventions on neural networks

Addressing Image Authenticity When Cameras Use Generative AI

AI for software engineering: from probable to provable

Algebraic Language Models for Inverse Design of Metamaterials via Diffusion Transformers

An effective variant of the Hartigan k-means algorithm

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis

Anatomy-Aware Text-Visual Fusion with Dual-Perspective Prompts for Fine-Grained Lumbar Spine Segmentation

Artificial intelligence for methane detection: from continuous monitoring to verified mitigation

Assessing Emulator Design and Training for Modal Aerosol Microphysics Parameterizations in E3SMv2

ATLAS: AI-Assisted Threat-to-Assertion Learning for System-on-Chip Security Verification

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics

Attention-based multiple instance learning for predominant growth pattern prediction in lung adenocarcinoma wsi using foundation models

Back to Source: Open-Set Continual Test-Time Adaptation via Domain Compensation

BackPlay: Head-Only Look-Back Self-Correction for Diffusion Language Models

Beyond Expected Information Gain: Stable Bayesian Optimal Experimental Design with Integral Probability Metrics and Plug-and-Play Extensions

Beyond the Frame: Generating 360 Panoramic Videos from Perspective Videos

Bridging the Training-Deployment Gap: Gated Encoding and Multi-Scale Refinement for Efficient Quantization-Aware Image Enhancement

Calibeating Prediction-Powered Inference

Causal Disentanglement for Full-Reference Image Quality Assessment

Certified Coil Geometry Learning for Short-Range Magnetic Actuation and Spacecraft Docking Application

ChessArena: A Chess Testbed for Evaluating Strategic Reasoning Capabilities of Large Language Models

climt-paraformer: Stable Emulation of Convective Parameterization using a Temporal Memory-aware Transformer

Clinical Evaluation of a Tongue-Controlled Wrist Abduction-Adduction Assistance in a 6-DoF Upper-Limb Exoskeleton for Individuals with ALS and SCI

Clinically-Informed Modeling for Pediatric Brain Tumor Classification from Whole-Slide Histopathology Images

CoFEE: Reasoning Control for LLM-Based Feature Discovery

Component-Based Out-of-Distribution Detection

Context Unrolling in Omni Models

Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation

Cosmological Analysis with Calibrated Neural Quantile Estimation and Approximate Simulators

Cross-Distribution Diffusion Priors-Driven Iterative Reconstruction for Sparse-View CT

DCMorph: Face Morphing via Dual-Stream Cross-Attention Diffusion