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upvoted an article 13 days ago

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Article

IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

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ibm-research

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24 days ago

• 60

upvoted a paper about 2 months ago

BDH-CQ: In-Context Learning with Recurrent Latent Reasoning

Paper • 2608.09888 • Published Aug 10 • 798

upvoted an article 2 months ago

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Article

Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

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• +2

hlarcher, XciD, raphael-gl, chris-rannou

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Jul 27

• 507

upvoted 2 articles 4 months ago

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Article

MiniMax Goes Sparse: Decoding M3's Attention from a Single Diagram

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AtlasCloud-AI

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May 29

• 11

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Article

LeRobot Humanoid: An Open, Low-Cost, 3D-Printed Humanoid for Robot Learning

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VirgileBatto

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May 21

• 72

upvoted a paper 5 months ago

From Context to Skills: Can Language Models Learn from Context Skillfully?

Paper • 2604.27660 • Published May 3 • 74

upvoted an article 5 months ago

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Article

DeepSeek-V4: a million-token context that agents can actually use

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burtenshaw

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Apr 24

• 60

upvoted 2 papers 5 months ago

How Much Is One Recurrence Worth? Iso-Depth Scaling Laws for Looped Language Models

Paper • 2604.21106 • Published Apr 27 • 11

Sessa: Selective State Space Attention

Paper • 2604.18580 • Published Apr 21 • 14

upvoted 3 papers 6 months ago

SkillClaw: Let Skills Evolve Collectively with Agentic Evolver

Paper • 2604.08377 • Published Apr 9 • 226

SKILL0: In-Context Agentic Reinforcement Learning for Skill Internalization

Paper • 2604.02268 • Published Apr 2 • 100

Trace2Skill: Distill Trajectory-Local Lessons into Transferable Agent Skills

Paper • 2603.25158 • Published Mar 26 • 53

upvoted 8 papers 7 months ago

SWE-Skills-Bench: Do Agent Skills Actually Help in Real-World Software Engineering?

Paper • 2603.15401 • Published Mar 16 • 21

GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent

Paper • 2603.13875 • Published Mar 14 • 37

Online Experiential Learning for Language Models

Paper • 2603.16856 • Published Mar 17 • 61

V-JEPA 2.1: Unlocking Dense Features in Video Self-Supervised Learning

Paper • 2603.14482 • Published Mar 15 • 39

Memento-Skills: Let Agents Design Agents

Paper • 2603.18743 • Published Mar 19 • 59

Effective Distillation to Hybrid xLSTM Architectures

Paper • 2603.15590 • Published Mar 16 • 34

Mixture-of-Depths Attention

Paper • 2603.15619 • Published Mar 16 • 83

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights

Paper • 2603.12228 • Published Mar 12 • 12