(CSE: PPB / FSE: 3QG / OTCQB: PPBGF) investor@p2p-group.com Highlights Rebrand to reflect core focus on Inturai's spatial intelligence platform New ticker symbol "URAI" aligns with its defence, AI and sensing technologies development Business model advancement aligned with platform commercialisation and military-sector expansion VANCOUVER, BC , Nov. 18, 2025 /PRNewswire/ - P2P Group Ltd. (the "Company") (CSE: PPB) (OTC: PPBGF) (FSE: 3QG) is pleased to announce that it has received conditional approval fro ...

Chinese tech giant Tencent posting 15% revenue growth in the third quarter, saying its 3D world generation model is now industryleading, part of a bigger push into a new type of AI model that goes beyond just language. And for today's tech check, dear DOS is digging into these new world models. Great.Something else to learn now, De, >> something big, too. So world models, you kind of implied this. This is a new frontier in the AI race that some of the biggest companies and the most prestigious researchers h ...

Financial Data and Key Metrics Changes - The company reported a subscription revenue mix of 99%, up from 88% in the same quarter last year, indicating a strong transition towards a pure SaaS model [47] - Gross margin improved to 89%, compared to 88% in Q3 of the previous year and 86% in the previous quarter, reflecting better cloud cost management and infrastructure scaling [48] - Earnings per share improved to negative $0.13, a significant gain from negative $0.34 in the same quarter last year, signaling effective cost controls and a recurring revenue model [50] Business Line Data and Key Metrics Changes - The company experienced a modest revenue decline to $1.1 million from $1.2 million in Q2, attributed to lower hardware-related sales as part of a strategy to phase out non-core components [50] - Operating expenses decreased to $4.8 million from $5.2 million in Q2, an 8% reduction, demonstrating operational efficiency while still investing in innovation [51] Market Data and Key Metrics Changes - The company operates in over 200 cities across 50 countries, serving over a million users, indicating a broad market presence [6] - Gartner recognized the company as a representative vendor in the 2025 market guide for workplace experience applications, highlighting its growing market influence [14] Company Strategy and Development Direction - The company aims to expand within its current customer base, particularly among Fortune 500 clients, by offering additional modules that can multiply ARR potential [62] - Strategic collaborations, such as with Noro and Google Cloud, are intended to extend the company's reach into immersive and agentic experiences [62] - The company is focused on maintaining cost discipline while investing in AI leadership, balancing growth with responsibility [63] Management's Comments on Operating Environment and Future Outlook - Management noted that AI in the workplace is now a board-level imperative, with a strong push for return-to-office mandates despite employee burnout [12][17] - The company is optimistic about the future, emphasizing that it is not just riding the AI wave but architecting it, aiming to define a new category in the enterprise platform space [63][64] Other Important Information - The company launched its Sky1.0 platform, which saw major performance gains, cutting space booking time by over 50% and enhancing colleague visibility [22] - A significant deployment at 30 Rock was highlighted, with 6,000 users on day one and a focus on dining features, which were particularly well-received [28][31] Q&A Session Summary Question: Update on kiosks, customer feedback, and deployment status - The company launched a kiosk product with a client in Silicon Valley, which is performing well and is set for global deployment across 14 campuses [67][68] - Three additional clients are in pilot phases, showing genuine interest in the kiosk's real-time engagement capabilities [70] - The deployment at 30 Rock was critical, with successful launches in multiple locations, and the client is eager to expand the kiosk trials [72][73]

Core Insights - CXApp Inc. has been named a Representative Vendor in the Gartner Market Guide for Workplace Experience Applications 2025, highlighting its position in the industry [1] - The company announced a strategic collaboration with Noro aimed at transforming hybrid work through Agentic AI and immersive presence technology [1] - CXApp Inc. reported significant enterprise client expansion, including the launch of the iconic 30 Rock campus and various platform migration initiatives [1] - Financial results for Q3 2025 showed continued margin improvement, strong customer renewals, and growing industry recognition as the company expands its leadership in enterprise-scale agentic AI and spatial intelligence [1]

Core Insights - BUTTONS has launched the world's first "BUTTONS SOLEMATE AI Agent Super Audio-Visual Robot" featuring the HALI AI agent, marking a significant advancement in intelligent luxury technology [1][2] - The introduction of SOLEMATE aims to redefine home interaction by integrating fashion and technology for improved living experiences [2] AI Agent Evolution - HALI's development began on November 14, 2024, evolving from a fashion AI agent to a "Life Collaborator" with spatial awareness and physical interaction capabilities [4] - Dr. Ling Shao outlines three stages of AI evolution: specialized AI agents, general-purpose AI agents, and super AI agents [5] - BUTTONS has achieved a breakthrough with HALI, which possesses a "Digital Brain" that enables a complete 'Perception-Reasoning-Action' capability loop in physical environments [6][7] Spatial Intelligence - HALI's spatial intelligence allows it to understand problems in terms of location, state, and reasoning, utilizing multi-sensor fusion and 3D environment modeling [9] - The agent can recognize contextual scenarios, such as preemptively warning about a cup about to be knocked over, showcasing its general intelligent traits [9] Interaction Paradigm Shift - The "Native" concept of HALI signifies a shift from being a mere tool to becoming a partner, focusing on space-centric interaction, memory, and planning [10] - HALI aims to facilitate multi-modal interaction and device collaboration, acting as a reliable "Life Collaborator" [11] Product Features - The SOLEMATE combines HALI's capabilities with physical form, featuring luxury materials, a 21.5-inch touchscreen, Hi-Fi audio, and a 4K laser projector [14] - It offers intelligent interaction with proactive learning capabilities and centimeter-precise autonomous navigation through dual-laser SLAM technology [14] Future Vision - BUTTONS envisions an ecosystem centered around HALI, integrating various smart devices to create a "Unified Brain" network [15] - The evolution of HALI into a "spatial intelligence-native executable agent" indicates a move towards genuine human-machine symbiosis, where technology seamlessly integrates into daily life [17]

Core Insights - The article discusses the emergence of AI-native applications in China, particularly focusing on the launch of Gaode Map 2025, which aims to transform user experiences in travel and daily life through advanced AI capabilities [1][2][12] Group 1: AI Development and Market Impact - In early 2025, Chinese large models have significantly reduced usage costs, enabling more effective AI applications to proliferate [1] - Gaode, with a user base of over 1 billion, is transitioning to a fully AI-driven model, recognizing the maturity of the market for broader implementation [1][12] - The introduction of Gaode Map 2025 marks a significant milestone as the world's first AI-native map application, integrating a spatial intelligence architecture for personalized decision-making [2][4] Group 2: User Interaction and Service Evolution - The AI-driven "Xiao Gao Teacher" in Gaode Map 2025 enhances user interaction through voice commands, allowing for step-by-step reasoning and planning [4] - Gaode's AI capabilities enable it to proactively offer "subconscious services," anticipating user needs in non-deterministic scenarios [5][8] - Features like "AI Instant" and "AI Exploration" allow Gaode to predict user needs and recommend personalized travel plans and destinations based on real-time data [8][9] Group 3: Strategic Positioning and Future Outlook - Gaode's extensive data accumulation over 20 years provides a robust foundation for integrating physical and virtual worlds, positioning it as a central hub for intelligent travel and lifestyle services [12][13] - The shift from a passive service model to an active, user-centric approach is expected to reshape user perceptions and establish Gaode as a vital player in the travel and lifestyle service ecosystem [10][14] - The article suggests that the future of AI in this context lies in creating value by connecting physical and digital ecosystems, rather than merely disrupting existing scenarios [14]

Partnerships & Collaborations - Volkswagen's autonomous vehicle subsidiary, Volkswagen ADMT, has selected Bee Maps (powered by Hivemapper) spatial intelligence services [1] Autonomous Vehicle Industry - The partnership between Robotaxis and Hivemapper is considered a strong strategic fit [1] Technology & Services - Hivemapper's spatial intelligence services will support Volkswagen ADMT's autonomous vehicle testing operations [1]

Core Insights - The article highlights the journey of Fei-Fei Li from her early academic achievements to her current role as CEO of a company, emphasizing her passion for starting from scratch and building innovative solutions in AI [1][2][24]. Group 1: ImageNet and AI Development - ImageNet was conceived around 18 years ago to address the lack of data in AI and machine learning, particularly in computer vision, which was essential for the development of algorithms [4][6]. - The project aimed to download 1 billion images from the internet to create a global visual classification system, which became a cornerstone for training and testing machine learning algorithms [6][7]. - The breakthrough moment for ImageNet came in 2012 with the introduction of AlexNet, which utilized convolutional neural networks (CNN) and significantly reduced the error rate in image recognition tasks [8][10]. Group 2: Vision and Future of AI - Li emphasizes the importance of spatial intelligence for achieving general artificial intelligence (AGI), arguing that without it, AGI remains incomplete [14]. - The evolution of AI has progressed from object recognition to scene understanding and now to generating 3D worlds, which presents a new set of challenges [12][16]. - The integration of language models and visual understanding is seen as a critical area for future research and application, particularly in fields like robotics and the metaverse [20][21]. Group 3: Advice for Students and Researchers - Li advises students to pursue fundamental "North Star" problems in AI that are not necessarily tied to industrial applications, as academic resources have shifted significantly [34][35]. - She encourages interdisciplinary research in AI, particularly in scientific discovery, and highlights the importance of curiosity and problem-solving in graduate studies [38][39]. - The article underscores the need for a new generation of researchers who are fearless and willing to tackle complex challenges in AI [32][33].

Core Viewpoint - The article emphasizes the importance of spatial intelligence in achieving Artificial General Intelligence (AGI), as articulated by AI pioneer Fei-Fei Li, who believes that understanding and interacting with the 3D world is fundamental to AI development [2][29]. Group 1: Spatial Intelligence and AGI - Fei-Fei Li asserts that without spatial intelligence, AGI is incomplete, highlighting the necessity of creating world models that capture the structure and dynamics of the 3D world [29][33]. - The understanding of 3D world modeling is deemed crucial for AI, involving tasks such as reasoning, generating, and acting within a three-dimensional context [8][33]. Group 2: ImageNet and Its Impact - The creation of ImageNet was a pivotal moment in AI, providing a large dataset that enabled significant advancements in computer vision and machine learning [12][18]. - ImageNet's challenge established benchmarks for object recognition, leading to breakthroughs in algorithms, particularly with the introduction of convolutional neural networks like AlexNet [19][24]. Group 3: Evolution of AI and Future Directions - The conversation reflects on the evolution of AI from object recognition to scene understanding and now to generative models, indicating a rapid progression in capabilities [31][27]. - Fei-Fei Li expresses excitement about the potential of generative AI and its applications in various fields, including design, gaming, and robotics, emphasizing the need for robust world models [41][42]. Group 4: Challenges in Spatial Intelligence - A significant challenge in developing spatial intelligence is the lack of accessible spatial data compared to the abundance of language data available online [36][73]. - The complexity of understanding and modeling the 3D world is highlighted, as it involves intricate interactions and adherence to physical laws, making it a more challenging domain than language processing [35][39]. Group 5: Personal Insights and Experiences - Fei-Fei Li shares her journey from academia to entrepreneurship, emphasizing the importance of curiosity and a fearless mindset in tackling difficult problems [46][55]. - The article concludes with encouragement for young researchers to pursue their passions and embrace challenges, reflecting on the transformative nature of AI and its potential to benefit humanity [77].

Core Insights - The article discusses the limitations of current AI models, particularly in understanding and interacting with the physical world, as highlighted by the founder of World Labs, Fei-Fei Li [1][6] - Li emphasizes the importance of curiosity in research and suggests that PhD students should focus on foundational problems that cannot be easily solved with resources [1][26] Group 1: AI Development and Challenges - Li identifies the current AI boom, driven by language models, as fundamentally limited in its ability to comprehend and manipulate the complexities of the physical world [1][6] - The inception of ImageNet, a large-scale image database, was crucial in addressing the data scarcity in AI and computer vision, leading to significant advancements in the field [2][4] - The breakthrough moment in AI came with the introduction of AlexNet in 2012, which utilized convolutional neural networks and demonstrated the power of data, GPU, and neural networks working together [3][5] Group 2: Future Directions and World Labs - World Labs aims to tackle the challenge of "spatial intelligence," which Li believes is essential for achieving Artificial General Intelligence (AGI) [1][11] - The company is composed of a team of experts in the field, including those who have made significant contributions to differentiable rendering and neural style transfer [12][14] - Li envisions applications of spatial intelligence in various fields, including design, robotics, and the metaverse, highlighting the potential for world models to revolutionize content creation [17][19] Group 3: Research and Academic Insights - Li encourages aspiring researchers to pursue "North Star" problems that are foundational and difficult to solve, emphasizing the shift of resources from academia to industry [26][27] - The article discusses the importance of interdisciplinary AI research and the need for better understanding of how humans perceive and interact with the three-dimensional world [11][27] - Li reflects on her personal journey and the importance of resilience and curiosity in overcoming challenges in both academic and entrepreneurial endeavors [22][31]