AI Models Get Smaller and Smarter, Robots Learn from Human Adversaries, and New Camera Tech Reshapes Video Creation

Today's tech breakthroughs show how artificial intelligence is becoming both more efficient and more human-like, with new models that can do more while using fewer resources. From tiny document-processing systems to robots that learn from human challenges, these advances point to a future where AI seamlessly integrates into our daily lives, while raising important questions about the balance between automation and human control. Links to all the papers we discussed: ReCamMaster: Camera-Controlled Generative Rendering from A Single Video, PLADIS: Pushing the Limits of Attention in Diffusion Models at Inference Time by Leveraging Sparsity, Adversarial Data Collection: Human-Collaborative Perturbations for Efficient and Robust Robotic Imitation Learning, Technologies on Effectiveness and Efficiency: A Survey of State Spaces Models, API Agents vs. GUI Agents: Divergence and Convergence, SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion

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