✳flâneur — a map of the web's best reading
Anya Singh
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on the atlas — 24
- NVlabs/AutoGaze: AutoGaze automatically removes redundant patches in a video, reducing #tokens in ViT/MLLM by 4x-100x. ·1 savers
- PlayWorld: Learning Robot World Models from Autonomous Play1 savers
- [2603.12254] Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing1 savers
- [2603.08546] Interactive World Simulator for Robot Policy Training and Evaluation1 savers
- Sparse Autoencoders Reveal Interpretable and Steerable Features in VLA Models1 savers
- [2509.22407] EMMA: Generalizing Real-World Robot Manipulation via Generative Visual Transfer1 savers
- FASTER1 savers
- LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels3 savers
- [2510.04371] Speculative Actions: A Lossless Framework for Faster Agentic Systems1 savers
- [2410.00079] Interactive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface1 savers
- [2603.05438] Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model1 savers
- WebArena-Infinity: Generating Browser Environments with Verifiable Tasks at Scale1 savers
- e5b5c402bb7bd5e60bede6961d6fe39e-Paper-Conference.pdf1 savers
- 45d74e190008c7bff2845ffc8e3facd3-Paper-Conference.pdf1 savers
- Akash Bajwa on X: "RL Environments with Scale AI" / X1 savers
- [2306.00937] STEVE-1: A Generative Model for Text-to-Behavior in Minecraft1 savers
- [2602.10556] LAP: Language-Action Pre-Training Enables Zero-shot Cross-Embodiment Transfer1 savers
- The First Fully General Computer Action Model | blog35 savers
- Interviewing tips20 savers
- Six Things I Learned Watching a Robotics Startup Die from the Inside | Rui Xu7 savers
- Precise Manipulation with Efficient Online RL5 savers
- Causal Video Models Are Data-Efficient Robot Policy Learners | Rhoda AI4 savers
- Power in the Age of Intelligence3 savers
- TRELLIS.2: Native and Compact Structured Latents for 3D Generation2 savers