According to @DeepLearningAI, Andrew Ng identified declining public trust in AI as a major problem and urged the AI community to address legitimate concerns while building applications that benefit everyone, source: DeepLearning.AI tweet dated Dec 4, 2025. The update highlights releases including Meta’s SAM 3 that turns images into 3D scenes and people, Marble’s tool for editable 3D worlds from text, images, and video, Baidu’s open vision‑language model plus the large multimodal ERNIE 5.0, and RoboBallet for choreographing many robot arms at once, source: DeepLearning.AI tweet dated Dec 4, 2025. The source does not mention any blockchain, token, or crypto integrations, indicating no direct crypto catalyst in this communication, source: DeepLearning.AI tweet dated Dec 4, 2025. Traders tracking AI-linked assets can note continued progress in 3D generation and multimodal AI while monitoring official updates for any future digital-asset relevance cited by the source, source: DeepLearning.AI tweet dated Dec 4, 2025.

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, 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.