The field of wireless communications is witnessing significant advancements with the integration of Reconfigurable Intelligent Surfaces (RIS). Recent research has focused on optimizing RIS codebook index assignment, dynamic agile RIS antenna design, and low-complexity 6D rotation and position optimization. These innovations aim to improve system performance, increase degrees of freedom, and enhance channel capacity. Notably, the use of rotatable RIS and movable elements of intelligent reflecting surfaces has shown promising results in physical-layer multicasting and integrated sensing and communication systems. Furthermore, the integration of beyond diagonal RIS into cell-free massive MIMO systems has demonstrated significant energy harvesting gains. Overall, the field is moving towards more efficient, adaptive, and scalable RIS-assisted communication systems. Noteworthy papers include: RIS Codebook Index Assignment under Imperfect Control Links Using TSP-Inspired Optimization, which proposes a novel three-phase heuristic algorithm for robust RIS codebook index assignment. Dynamic Agile Reconfigurable Intelligent Surface Antenna (DARISA) MIMO: DoF Analysis and Effective DoF Optimization, which derives an explicit relationship between degrees of freedom and critical system parameters. Exploiting Movable Elements of Intelligent Reflecting Surface for Enhancement of Integrated Sensing and Communication, which proposes a joint beamforming and element position optimization scheme to improve communication rate and sensing accuracy.