According to @AIatMeta, Meta’s AI team will host a Reddit AMA with the researchers behind SAM 3, SAM 3D, and SAM Audio at 2pm PT on r/LocalLLaMA (source: @AIatMeta). The confirmed schedule and topics give event-driven traders a clear time window to monitor official researcher answers and any updates shared during the session (source: @AIatMeta). Crypto market participants tracking AI tooling narratives can time-monitor the session for official information directly from the research team (source: @AIatMeta).

According to @AIatMeta, Meta introduced SAM Audio, a unified model that isolates any sound from complex audio mixtures using text, visual, or span prompts, and is releasing the model to the community alongside a perception encoder, benchmarks, and research papers (source: AI at Meta on X, Dec 16, 2025). The announcement details model availability and supporting assets but provides no information on pricing, commercialization, or any crypto or blockchain integrations, indicating no direct token or on-chain exposure at launch (source: AI at Meta on X, Dec 16, 2025). For trading focus, the open community release means any crypto market impact would depend on subsequent third-party integrations or explicit on-chain announcements, none of which are included in the source announcement (source: AI at Meta on X, Dec 16, 2025).

According to AI at Meta, the team announced SAM Audio and stated it outperforms previous audio separation models across a wide range of benchmarks and tasks, without disclosing specific benchmark names, scores, code, or release links in the post, which frames the news as a performance claim only at this stage (source: AI at Meta on X, Dec 16, 2025). For trading relevance, the post includes no details on commercialization, product integration, or any crypto or blockchain component, and makes no reference to on-chain deployment, tokenization, or decentralized compute, which limits direct read-through to META or crypto assets from this announcement alone (source: AI at Meta on X, Dec 16, 2025).

According to AI at Meta, SAM Audio, SAM 3D, and SAM 3 are being showcased for hands-on exploration in the Segment Anything Playground via a newly shared link, highlighting audio and 3D capabilities alongside the latest SAM iteration, source: AI at Meta on X, Dec 16, 2025. The post provides no mention of blockchain, cryptocurrency, tokens, or Web3 features, indicating no direct on-chain component in this announcement, source: AI at Meta on X, Dec 16, 2025. For trading context, the communication is a tooling showcase and includes no commercialization details or usage metrics, so any near-term crypto impact would be indirect and sentiment-driven rather than tied to explicit crypto integrations, source: AI at Meta on X, Dec 16, 2025.

According to @AIatMeta, Meta’s AI team is exhibiting at NeurIPS 2025 in San Diego with booth #1223 and will demo DINOv3 and UMA (source: @AIatMeta, Dec 1, 2025). According to @AIatMeta, the booth program includes lightning talks from researchers behind SAM 3 and Omnilingual ASR, plus hands-on sessions, with the schedule referenced in the post (source: @AIatMeta). According to @AIatMeta, the announcement confirms on-site demos and talks only, providing a dated conference catalyst that traders can log for META equity exposure and AI-linked crypto narratives, with no token mentions or product launch claims in the post (source: @AIatMeta).

According to @AIatMeta, Carnegie Mellon researchers are using Meta's SAM 3D to capture and analyze human movement in clinical settings to enable personalized, data-driven rehabilitation insights, source: @AIatMeta. The post confirms real-world deployment of computer-vision-based 3D analysis within healthcare workflows but discloses no release timeline, pricing, or commercial availability details, source: @AIatMeta. The source does not reference blockchain, cryptocurrencies, or token integrations, indicating no direct crypto-market linkage in this announcement, source: @AIatMeta.

According to AI at Meta, SAM 3 is being used to precisely detect and track objects for ConservationX to measure wildlife survival and help prevent extinction (source: AI at Meta, Nov 24, 2025). The official post provides a link for more details but does not mention blockchain, tokens, or any crypto integrations, indicating no direct token-specific catalyst from this announcement (source: AI at Meta, Nov 24, 2025). For trading, treat this as an AI innovation headline from a major platform without crypto hooks and monitor for any follow-up tying SAM 3 to decentralized compute, data marketplaces, or tokenized biodiversity efforts before positioning in AI-related crypto themes (source: AI at Meta, Nov 24, 2025).

According to @AIatMeta, Meta launched the Segment Anything Playground to let users interact with media using its most advanced segmentation models. Source: AI at Meta on X, Nov 21, 2025. The Playground specifically enables hands-on experimentation with SAM 3 and SAM 3D for creative and technical workflows. Source: AI at Meta on X, Nov 21, 2025. For crypto-focused traders, the announcement includes no token, blockchain, or on-chain integration details, indicating no immediate direct catalyst for crypto assets and framing this as broader AI narrative momentum only. Source: AI at Meta on X, Nov 21, 2025.

According to @AIatMeta, ExecuTorch for on-device AI is now deployed across Meta Quest 3, Ray-Ban Meta, Oakley Meta Vanguard, and Meta Ray-Ban Display, with the post explicitly stating current availability on these devices; source: AI at Meta on X, Nov 21, 2025. The announcement states that by eliminating conversion steps and enabling pre-deployment validation in PyTorch, ExecuTorch accelerates the path to on-device AI deployment for developers on Meta hardware; source: AI at Meta on X, Nov 21, 2025. The post does not mention cryptocurrencies or blockchain and provides no direct crypto market impact; source: AI at Meta on X, Nov 21, 2025.

According to @AIatMeta, SAM 3 reached roughly 2x the performance of baseline models by leveraging a high quality dataset with 4M unique phrases and 52M corresponding object masks, with the team crediting a data engine for the improvement; source: AI at Meta. According to @AIatMeta, the organization also shared the SAM 3 research paper and emphasized that data scale and quality were central to the performance gains; source: AI at Meta. According to @AIatMeta, the verified catalyst for traders is the performance disclosure itself, so AI-focused participants can monitor flows, liquidity, and volatility in AI narrative assets around the announcement window while awaiting confirmed downstream adoption signals; source: AI at Meta.

According to AI at Meta, SAM 3 is a unified model that enables detection, segmentation, and tracking of objects across images and videos, source: AI at Meta (X post, Nov 19, 2025). AI at Meta states SAM 3 introduces text and exemplar prompts to segment all objects of a target category, source: AI at Meta (X post, Nov 19, 2025). The announcement comes via Meta’s official AI account with no details provided on release timing, licensing, datasets, or code availability, source: AI at Meta (X post, Nov 19, 2025). For traders, this is a product capability update from Meta’s AI group focused on video-capable computer vision and category-wide segmentation; the post includes no crypto or blockchain references, so any crypto-market impact would be indirect, source: AI at Meta (X post, Nov 19, 2025).

According to @AIatMeta, Meta introduced SAM 3D as a new addition to the SAM collection, featuring two models that provide 3D understanding of everyday images (source: @AIatMeta). The release includes SAM 3D Objects for object and scene reconstruction and SAM 3D Body for human pose and shape estimation, indicating a focus on 3D computer vision capabilities rather than product monetization details (source: @AIatMeta). The announcement post does not mention any token, blockchain integration, pricing, licensing, code availability, or deployment timeline, implying no direct on-chain catalyst communicated at this time for crypto traders tracking AI narratives (source: @AIatMeta).

According to @AIatMeta, Meta introduced SAM 3, a unified model enabling object detection, segmentation, and tracking across images and videos (source: @AIatMeta tweet on Nov 19, 2025; learn more: https://go.meta.me/591040). The announcement confirms new text and exemplar prompts designed to segment all objects of a target category (source: @AIatMeta). @AIatMeta states that learnings from SAM 3 will power new features in the Meta AI and IG Edits apps, bringing advanced segmentation directly to creators (source: @AIatMeta; learn more: https://go.meta.me/591040). For trading, this confirmed product update adds to Meta’s AI feature pipeline and is a concrete product signal for monitoring META equity and AI-theme baskets, while the source contains no crypto or blockchain references, indicating no direct, stated impact on crypto markets or AI tokens from this announcement (source: @AIatMeta).

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 @AIatMeta, Meta FAIR released Code World Model (CWM), a 32B-parameter research model to study how world models can transform code generation and reasoning about code, and it is shared under a research license (source: AI at Meta on X, Sep 24, 2025). According to @AIatMeta, the open weights are available on Hugging Face at facebook/cwm, the project code is on GitHub at facebookresearch/cwm, and a technical report is linked via ai.meta.com (source: AI at Meta on X; Hugging Face facebook/cwm; GitHub facebookresearch/cwm). For traders, near-term tracking signals include Hugging Face download counts and GitHub stars and issues on the referenced repositories to gauge developer traction following this open-weight launch, as no crypto or token integration was mentioned in the announcement (source: Hugging Face facebook/cwm; GitHub facebookresearch/cwm; AI at Meta on X).

According to @AIatMeta, the Meta Connect 2025 keynote livestream is scheduled for tonight at 5 pm PT, highlighting the future of AI wearables and beyond, with access at meta.com/connect, source: @AIatMeta. Regular U.S. equity market hours run 9:30 a.m. to 4:00 p.m. ET which is 1:00 p.m. PT, placing the keynote firmly in after-hours for Meta Platforms ticker META, source: Nasdaq trading hours and Nasdaq listing for META.

According to AI at Meta, DINOv3 is a state-of-the-art computer vision model trained with self-supervised learning that produces powerful, high-resolution image features, source: AI at Meta on Twitter, Aug 14, 2025. According to AI at Meta, for the first time a single frozen vision backbone outperforms specialized solutions on multiple long-standing dense tasks, source: AI at Meta on Twitter, Aug 14, 2025. According to AI at Meta, the announcement does not mention any cryptocurrencies, tokens, or blockchain integrations, so no direct crypto-market linkage is cited in the source, source: AI at Meta on Twitter, Aug 14, 2025.

According to AI at Meta, DINOv3 has Day-0 support in Hugging Face Transformers, enabling easy use of the full family of models with more details available via the shared Hugging Face link, source: AI at Meta on X on August 14, 2025.

According to AI at Meta, DINOv3 uses self-supervised learning to train a 7B-parameter vision model on 1.7B images without labels, enabling use in annotation-scarce domains such as satellite imagery (source: AI at Meta on X, Aug 14, 2025). AI at Meta also states the model produces strong high-resolution features and achieves state-of-the-art performance on dense prediction tasks (source: AI at Meta on X, Aug 14, 2025). The provided announcement text does not mention cryptocurrencies, tokens, or blockchain integrations, so no direct on-chain or token-specific linkage is stated in the post (source: AI at Meta on X, Aug 14, 2025).