According to @AIatMeta, Meta announced a new generation of Segment Anything Models named SAM 3 that can detect, segment, and track objects across both images and videos, expanding the original scope of the project for production-grade computer vision use cases; announcement dated Nov 19, 2025. Source: https://twitter.com/AIatMeta/status/1991178519557046380 According to @AIatMeta, SAM 3 now accepts short text phrases and exemplar prompts to guide segmentation, enabling text-prompted and example-driven workflows for rapid labeling and object tracking across frames. Source: https://twitter.com/AIatMeta/status/1991178519557046380 According to @AIatMeta, the post also references SAM 3D alongside SAM 3, though no additional technical or release details are provided in the announcement post. Source: https://twitter.com/AIatMeta/status/1991178519557046380

According to @AIatMeta, Meta introduced Omnilingual Automatic Speech Recognition models that support over 1,600 languages, including 500 low-coverage languages never previously served by any ASR system. Source: AI at Meta on X Nov 10, 2025; go.meta.me/f56b6e. The announcement emphasizes a step toward a universal transcription system focused on languages underrepresented on the internet. Source: AI at Meta on X Nov 10, 2025; go.meta.me/f56b6e. The post and linked resource do not mention cryptocurrency, blockchain, token integrations, pricing, or monetization details, indicating no direct crypto market catalyst disclosed at launch. Source: AI at Meta on X Nov 10, 2025; go.meta.me/f56b6e.

According to AI at Meta, the latest research papers presented at CVPR 2025 showcase significant advances in artificial intelligence, with potential to drive innovation in blockchain analytics, trading algorithms, and decentralized finance applications (source: @AIatMeta). For traders, these developments may lead to improved predictive trading models and enhanced security protocols, influencing volatility and liquidity across major cryptocurrencies. The integration of AI breakthroughs from CVPR 2025 could offer a competitive edge in algorithmic trading and risk management strategies, making it crucial for crypto market participants to stay updated on these AI-driven trends.

According to AI at Meta, CollaborativeAgentBench is the first benchmark designed to evaluate collaborative LLM agents working alongside humans on multi-turn tasks in backend programming and frontend design. This development could impact trading by potentially increasing productivity and efficiency in software development sectors, which are crucial components in tech industry investments.

According to AI at Meta, the uCO3D dataset features 170,000 videos showcasing diverse objects from multiple angles, covering approximately 1000 categories organized into 50 super-categories. Each video is annotated with object segmentation, camera poses, and point clouds, providing a rich resource for 3D object analysis and potentially impacting AI-driven trading algorithms by enhancing object recognition and spatial analysis capabilities.

According to AI at Meta, the development of the Meta PARTNR demo aims to advance human-robot collaboration by sharing insights and challenges. The initiative includes the release of a research paper and access to datasets and code, potentially influencing future innovations in the field.

According to AI at Meta, the Meta PARTNR framework aims to enhance human-robot collaboration by releasing an open-source large-scale benchmark and dataset. This initiative is expected to facilitate the effective training of social robots, potentially impacting automation and AI-driven trading strategies by enabling more sophisticated robotics applications.