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Where can AI be used? Insights from a deep ontology of work activitiesFeatured
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Developments in Artificial Intelligence markets: New indicators based on model characteristics, prices and providersFeatured
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MemoryWAM: Efficient World Action Modeling with Persistent Memory
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Reinforcement Learning Towards Broadly and Persistently Beneficial Models
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S-Agent: Spatial Tool-Use Elicits Reasoning for Spatial Intelligence
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Agentic Robot Policy Self-Improvement in the Real World
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What Must Generalist Agents Remember?
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Do as I Do: Dexterous Manipulation Data from Everyday Human Videos
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MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction
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EgoInfinity: A Web-Scale 4D Hand-Object Interaction Data Engine for Any-View Robot Retargeting and Video-to-Action Robot Learning
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Looped World Models
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Variable-Width Transformers
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VibeThinker-3B: Exploring the Frontier of Verifiable Reasoning in Small Language Models
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Latent Thought Flow: Efficient Latent Reasoning in Large Language Models
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TopoRetarget: Interaction-Preserving Retargeting for Dexterous Manipulation
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DreamX-World 1.0: A General-Purpose Interactive World Model
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Human Universal Grasping
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ART-Glove: Articulated Tactile Glove for Contact-Grounded Dexterous Interaction Capture
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Qwen-RobotWorld Technical Report: Unifying Embodied World Modeling through Language-Conditioned Video Generation
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You Don't Need Strong Assumptions: Visual Representation Learning via Temporal Differences
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SimWeaver: Zero-Shot RGB Sim-to-Real for Deformable Manipulation
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Universal Manipulation Exoskeleton: Learning Compliant Whole-body Policies with Real-time Torque Feedback
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Efficient On-Device Diffusion LLM Inference with Mobile NPU
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VHDLSuite: Unified Pipeline for LLM VHDL Generation with Data Synthesis and Evaluation
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$μ_0$: A Scalable 3D Interaction-Trace World Model
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Surflo: Consistent 3D Surface Flow Model with Global State
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MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
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MiniMax Sparse Attention
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Toward Generalist Autonomous Research via Hypothesis-Tree Refinement
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Ambient Diffusion Policy: Imitation Learning from Suboptimal Data in Robotics
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Pythagoras-Prover: Advancing Efficient Formal Proving via Augmented Lean Formalisation
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When is Your LLM Steerable?
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Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling
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RLCSD: Reinforcement Learning with Contrastive On-Policy Self-Distillation
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From AGI to ASI
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FACTR 2: Learning External Force Sensing for Commodity Robot Arms Improves Policy Learning
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Test-Time Gradient Guidance of Flow Policies in Reinforcement Learning
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Recalling Too Well: Sycophancy Evaluation and Mitigation in Memory-Augmented Models
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How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope
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How AI Agents Reshape Knowledge Work: Autonomy, Efficiency, and Scope
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Latent Reasoning with Normalizing Flows
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Slim attention: cut your context memory in half without loss – K-cache is all you need for MHA
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MAI-Thinking-1: Building a Hill-Climbing Machine
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AFUN: Towards an Affordance Foundation Model for Functionality Understanding
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MPMWorlds: Material-Point-Method Simulations for Inferring and Extrapolating Physical Dynamics
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Harness-1: Reinforcement Learning for Search Agents with State-Externalizing Harnesses
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RealityTest: How People Probe AI Identity and Whether Models Disclose It
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Representation Forcing for Bottleneck-Free Unified Multimodal Models
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mRNAutilus: Multi-Objective-Guided Discrete Generation of mRNA with Optimized Therapeutic Properties
