According to @AIatMeta, Meta’s AI team will host a Reddit AMA to discuss the latest advancements in SAM 3, SAM 3D, and SAM Audio. These technologies demonstrate significant progress in segmenting images, 3D content, and audio signals using AI. The AMA provides a unique opportunity for industry professionals and businesses to learn about real-world applications, integration challenges, and commercialization prospects of these state-of-the-art models. This event highlights Meta's focus on expanding AI capabilities across multimodal data, creating new business opportunities in sectors such as healthcare, media, and autonomous systems (source: @AIatMeta, Dec 17, 2025).

According to @AIatMeta, Meta has launched SAM Audio, SAM 3D, and SAM 3 within the Segment Anything Playground, a demonstration platform for next-generation multimodal AI segmentation tools (source: https://www.aidemos.meta.com/segment-anything/). These advancements enable businesses and developers to leverage powerful audio, 3D, and image segmentation models in a unified interface, significantly expanding the practical applications of AI in industries such as healthcare, autonomous vehicles, content creation, and spatial computing. The integration of audio and 3D segmentation into the established Segment Anything Model (SAM) framework positions Meta as a leader in delivering versatile AI models for multimodal data processing, opening new business opportunities for enterprises seeking scalable AI solutions for complex data environments (source: @AIatMeta, Dec 16, 2025).

According to AI at Meta, SAM Audio represents a major leap in audio separation technology, significantly outperforming prior models on a wide array of benchmarks and tasks (source: AI at Meta, Twitter, Dec 16, 2025). This advancement showcases AI's growing capability to isolate and process individual audio sources with unprecedented accuracy, which can greatly benefit industries such as media production, teleconferencing, and automated transcription. Businesses leveraging SAM Audio's AI-driven separation can expect improved audio quality, more efficient workflow automation, and enhanced user experiences, further expanding commercial opportunities in voice-based AI applications.

According to @AIatMeta, Meta has launched SAM Audio, the first unified AI model capable of isolating individual sounds from complex audio mixtures using diverse prompts, including text, visual cues, or spans. This open-source release also includes a perception encoder model, research benchmarks, and supporting papers. SAM Audio enables new AI-powered audio applications in fields such as content creation, accessibility, and audio analysis, presenting significant business opportunities for developers and enterprises to build advanced sound separation solutions that were previously technically challenging (source: @AIatMeta, 2025-12-16).