According to Sawyer Merritt on Twitter, Tesla's Full Self-Driving (FSD) system has introduced a new visualization feature that now displays horses within its driving interface. This enhancement demonstrates Tesla's ongoing efforts to expand the object recognition capabilities of its neural network, which is crucial for improving safety and accuracy in autonomous driving. By accurately identifying animals such as horses, Tesla aims to minimize accidents and adapt to diverse real-world scenarios, opening further business opportunities for advanced driver-assistance systems in rural and mixed-use environments.

According to @AIatMeta, Meta has launched SAM 3D, a cutting-edge addition to the SAM collection that delivers advanced 3D understanding of everyday images. SAM 3D features two models: SAM 3D Objects for object and scene reconstruction, and SAM 3D Body for human pose and shape estimation. Both models set a new performance benchmark by transforming static 2D images into vivid, accurate 3D reconstructions. This innovation opens significant business opportunities for sectors such as AR/VR, gaming, e-commerce visualization, robotics, and healthcare, by enabling enhanced digital twins, immersive experiences, and automation based on state-of-the-art computer vision capabilities. (Source: @AIatMeta, go.meta.me/305985)