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)

According to God of Prompt on Twitter, users are experiencing exceptionally high engagement and productivity with Google's Gemini 3.0 AI model, describing it as 'addictive' and likening its capabilities to 'alien technology' (source: @godofprompt, Nov 18, 2025). This feedback highlights Gemini 3.0’s advanced natural language processing and creative problem-solving features, which are attracting AI professionals and businesses seeking innovative automation solutions. Enterprises leveraging Gemini 3.0 report significant workflow improvements, making it a prime choice for companies aiming to streamline content generation, data analysis, and customer service. The growing adoption signals a strong business opportunity for AI-driven productivity tools and custom enterprise integrations using Gemini 3.0’s robust API.

According to @godofprompt on Twitter, the Gemini 3 Pro AI model achieved a significant breakthrough by creating a fully functional X (formerly Twitter) clone in a single attempt, where all previously tested AI models had failed. This demonstrates Gemini 3 Pro’s advanced generative capabilities and highlights its potential to accelerate rapid prototyping and development of complex social media platforms using AI. The success marks a milestone for generative AI, opening up new business opportunities for startups and enterprises seeking to automate application development and reduce time-to-market for digital products. (Source: @godofprompt, Twitter, Nov 18, 2025)

According to Sam Altman (@sama), Google has launched Gemini 3, an advanced AI model that is being recognized for its impressive capabilities. Industry observers highlight Gemini 3's enhanced multimodal processing, enabling more accurate understanding and generation of text, images, and audio. This leap in AI model performance is expected to unlock new business applications in enterprise automation, creative industries, and intelligent digital assistants. With Google's track record and resources, Gemini 3 could accelerate AI adoption across sectors and intensify competition in the generative AI market (source: @sama, Twitter, Nov 18, 2025).

According to @GoogleDeepMind, Gemini 3 is their most advanced AI model to date, featuring state-of-the-art reasoning, world-class multimodal understanding, and enabling new agentic coding experiences. The model is designed to assist users in learning, building, and planning across a wide range of applications, making it highly relevant for enterprises seeking to automate complex workflows and enhance productivity. Gemini 3's multimodal capabilities allow it to process and integrate data from text, images, and other formats, opening up new possibilities for industries such as education, software development, and business operations. These advancements position Gemini 3 as a valuable tool for companies aiming to leverage AI for scalable, intelligent automation and innovation (source: @GoogleDeepMind, November 18, 2025).

According to Demis Hassabis (@demishassabis), DeepMind continues its relentless development of advanced AI models, showcasing breakthroughs in autonomous decision-making and reinforcement learning. This progress opens new business opportunities in sectors such as logistics automation, real-time process optimization, and intelligent robotics. Verified updates highlight that DeepMind's AI models are increasingly capable of navigating complex, dynamic environments without human intervention, offering practical applications for enterprises aiming to streamline operations and reduce costs (source: @demishassabis, September 2, 2025).