本该是前世界首富杰夫·贝索斯的高光时刻，结果被一只猫咪表情包搅了局。 今天凌晨，当贝索斯要亲自下场做 AI 公司的消息刚在网上发酵，马斯克就火速转发推文，并附带一句话： 哈哈，不可能。Copy cat（跟屁虫） 如果你关注科技圈，这剧情大概见怪不怪了。 从卫星到火箭，这两位科技圈的顶流已经互怼了整整二十年。只是，如今吵架的战场，变成了眼下最火的物理 AI。 62 亿美元，贝索斯开启史上最壕创业 2021 年贝索斯把亚马逊 CEO 的位置让给了安迪·贾西，本以为他要专心当富豪享受人生。结果四年后，这位电商之王突然宣布：我要重返一线， 这次他瞄准的新项目，叫普罗米修斯计划(Project Prometheus)。 据纽约时报的报道，这个计划一出场就拿了 62 亿美元（折合人民币 447 亿元）的融资启动资金，其中相当一部分是贝索斯自己掏的腰包。 凭借这笔巨款，普罗米修斯在硅谷展开了「人才大抢购」，已经挖来了近 100 名顶级研究员，这些人之前都在 OpenAI、Google DeepMind 和 Meta 工作。 那让贝索斯选择二次创业的普罗米修斯到底要做什么？ 简单说，就是让 AI 从虚拟世界走进现实世界。现在 ...

Core Insights - OUTFRONT Media Inc. is scheduled to present at Wells Fargo's 9th Annual TMT Summit on November 18, 2025, at 5:15 p.m. Eastern Time, with a live and replay audio webcast available on its investor relations website [1] Company Overview - OUTFRONT Media Inc. is one of the largest out-of-home media companies in the U.S., focusing on connecting brands with audiences in significant moments and environments [1] - The company is redefining in-real-life (IRL) marketing by transforming public spaces into platforms for creativity and cultural relevance [1] - OUTFRONT Media has a nationwide presence across various formats, including billboards, digital displays, and transit systems, enhancing creative experiences in the real world [1] - The in-house agency, OUTFRONT STUDIOS, and the innovation team, XLabs, provide storytelling supported by advanced technology and data tools to drive measurable impact [1]

Core Insights - OUTFRONT Media Inc. and Google DeepMind have launched a civic program called 'Imagine If…' aimed at engaging New Yorkers in a collaborative artistic experience [1][2] - The program invites subway riders to share their imaginative ideas, which will be visualized using AI and transformed into videos by local artists [1][2] - The campaign will culminate in a showcase of selected works in Times Square on December 14, highlighting the intersection of community creativity and technology [2] Company Overview - OUTFRONT Media is a leading out-of-home media company in the U.S., focusing on connecting brands with audiences through various formats including billboards and digital displays [4] - The company emphasizes the importance of in-real-life marketing, transforming public spaces into platforms for creativity and cultural relevance [4] Technology and Innovation - Google DeepMind is recognized for its advancements in AI, including models like AlphaGo and Gemini, which enhance creative processes and community engagement [5] - The collaboration between OUTFRONT Media and Google DeepMind represents a novel approach to art, combining generative AI with local artistic talent [2][3] Artist Engagement - Five local artists, each representing a different borough of New York City, have been selected to participate in the campaign, showcasing diverse artistic styles and community representation [3] - The artists will utilize Google’s AI tools to enhance their creative output, reflecting a growing acceptance of AI in the art community [3]

also this is amazingly cool: SIMA 2 playing in the mind of Genie 3: https://t.co/dBjI2ueM5CGoogle DeepMind (@GoogleDeepMind):SIMA 2 🤝 Genie 3We tested SIMA 2’s abilities in simulated 3D worlds created by our world model Genie 3.It demonstrated unprecedented adaptability by navigating its surroundings and took meaningful steps toward goals. https://t.co/9M9bVMqD6e ...

Group 1: OpenAI and AI Model Developments - OpenAI has launched the GPT-5.1 series models, emphasizing that effective AI should not only be intelligent but also engaging in conversations [1] - The GPT-5.1 Instant model is designed to be warmer, smarter, and better at following instructions [1] - The GPT-5.1 Thinking model focuses on advanced reasoning, performing faster on simple tasks and more persistently on complex ones [1] Group 2: 3D World Generation by Li Feifei's Team - Li Feifei's team, World Labs, has released the Marble model for 3D world generation, supporting various input modalities including text, images, and videos [2] - Marble introduces AI-native editing tools for local replacements and structural adjustments, with the Chisel feature allowing for style separation [2] - Subscription options range from a free version (7000 points/month) to a flagship version (120000 points/month), supporting multiple export formats for game engines [2] Group 3: Anthropic's Infrastructure Investment - Anthropic has announced a $50 billion partnership with Fluidstack to build customized data centers in Texas and New York [3] - This marks Anthropic's first significant investment in tailored infrastructure, aligning with its internal forecast of achieving $70 billion in revenue and $17 billion in positive cash flow by 2028 [3] - Fluidstack, established in 2017, has collaborated with companies like Meta and Mistral and is among the first third-party suppliers to receive Google's custom TPU [3] Group 4: Google Gemini Voice Upgrade - Google has upgraded its Gemini Live voice capabilities, introducing features like real-time speech rate adjustment and emotional tone responses [4] - The Gemini 2.5 Flash model has significantly improved the voice engine's ability to model nuances in tone, stress, pauses, and pitch variations [4] - The upgraded voice features are seamlessly integrated into the Google ecosystem, allowing for hands-free activation and ensuring that voice data is not stored by default [4] Group 5: Baidu's Wenxin 5.0 Release - Baidu has officially launched Wenxin 5.0, which focuses on a native multimodal approach, integrating language, images, video, and audio into a unified training framework [5] - The model supports full multimodal input and multi-output capabilities, achieving a score of 1432 on the LMArena text leaderboard [5] - With over 2.4 trillion parameters, the model employs a sparse activation design with an activation ratio below 3%, and is available on various platforms [5] Group 6: Tencent's Industrial-Grade Model - Tencent has introduced the industrial-grade native multimodal model, Mixed Yuan Image 3.0, available on LiblibAI [6] - This model can accurately interpret complex prompts and generate coherent content, supporting both Chinese and English text generation [6] - It excels in aspects like realistic lighting, material styles, and logical continuity in content generation [6] Group 7: Sina Weibo's VibeThinker-1.5B Model - Sina Weibo has released the open-source VibeThinker-1.5B model, which has 1.5 billion parameters and a training cost of under $8000 [7] - The model outperformed larger models in top mathematical competition benchmarks, showcasing its efficiency [7] - It utilizes an innovative principle to decouple training objectives, achieving a remarkable cost-effectiveness ratio [7] Group 8: Google DeepMind's AlphaProof - Google DeepMind's AlphaProof system has published its technical details after winning a silver medal at the 2024 IMO [8] - The core innovation combines Lean formal language with reinforcement learning, generating a vast number of formal statements from natural language math propositions [8] - The system employs "Test-Time Reinforcement Learning" to progressively tackle complex problems through easier variants [8] Group 9: New Coding Evaluation System - LMArena has launched a new coding evaluation system called Code Arena, which reconstructs the assessment of code performance and interaction quality [9] - The domestic model GLM-4.6 has topped the new rankings, tying with Claude and GPT-5, surpassing Gemini and Grok [9] - GLM-4.6 achieved a code modification success rate of 94.9%, narrowing the gap with Claude Sonnet 4.5 [9]

AI Advancement - Google DeepMind's AlphaProof achieved silver medal level performance at the International Math Olympiad last year [1] - Nature is publishing the methodology behind AlphaProof [1]

Core Insights - OpenAI is becoming a significant talent pool in the AI industry, similar to the "PayPal Mafia" in Silicon Valley, with many key members leaving to start new companies or join other firms [1][2][14] - From 2022 to 2025, 25 individuals have left OpenAI, with 9 founding 8 AI companies, collectively valued at approximately $70 billion [1][2][12] - The departure of these individuals has not diminished OpenAI's influence; instead, it has allowed its technology and organizational experience to spread across the industry [1] Talent Outflow and Company Formation - A total of 9 core members have left OpenAI to establish 8 AI companies, with a combined valuation nearing $70 billion, excluding two undisclosed valuations [2][12] - Key figures include Ilya Sutskever, who founded Safe Superintelligence (SSI) valued at $32 billion, and Mira Murati, who started Thinking Machines Lab valued at $12 billion [3][5][11] - The majority of these founders held significant positions at OpenAI, covering critical areas such as model development, training systems, and product engineering [3][12] Focus Areas of New Ventures - The new companies primarily focus on AI safety, intelligent agents, and AI applications [4][10] - SSI emphasizes "regulation as a service" for AI developers, while Thinking Machines Lab aims to create a research platform for academia and enterprises [5][9] - Other startups like Adept AI and Inflection AI focus on AI assistants and conversational agents, with significant funding secured shortly after their establishment [10][11] Market Dynamics and Valuation Trends - Companies founded by former OpenAI employees tend to achieve high valuations quickly, often without a clear product path [12][13] - For instance, SSI secured $1 billion in funding within three months of its founding, while Thinking Machines Lab raised $2 billion in its seed round [13] - This trend indicates a strong market signal where proximity to OpenAI is seen as a valuable asset for attracting investment [13] Talent Migration to Other Companies - Beyond entrepreneurship, many former OpenAI members have joined other AI firms, with at least 16 individuals moving to companies like Meta and xAI [14][16] - Meta has notably recruited a significant number of OpenAI alumni to enhance its AGI research capabilities, indicating a strategic move to leverage their expertise [16][18] - The unique organizational structure at OpenAI, which fosters a blend of research and engineering, has produced highly skilled individuals who are in demand across the industry [20][22]

RT Bloomberg Live (@BloombergLive)The @BBGNewEconomy Forum returns to Singapore November 19-21. Don't miss conversations with:◾ H.E. @kmitsotakis PM of the Hellenic Republic◾ @FTI_Global President & CEO Jenny Johnson◾ @GoogleDeepMind COO Lila IbrahimLearn more here:https://t.co/9KIECZeJm4 https://t.co/TizqMLpRRT ...

Core Insights - The report highlights that AGI will overcome key bottlenecks in the next five years, transitioning AI from virtual spaces to real-world applications, marking the beginning of a new era of human-machine coexistence [1] Group 1: AGI Technology Evolution - AI is evolving from single-text generation to multi-modal and embodied intelligence, with breakthroughs concentrated in five key areas [2] - The continuous evolution of the Transformer architecture is leading to AI video generation technologies that approach physical realism through spatiotemporal modeling [3] - The application of intelligent agents is experiencing a comprehensive explosion, enabling cross-system process automation and establishing a solid foundation for AGI [4] Group 2: US-China Competition - In 50 key AI competitive fields, the US leads in 26 areas, while China leads in 13, with 11 fields being evenly matched [5] - China excels in fields like facial recognition and industrial robots, focusing on application landing and industrial integration, while the US leads in foundational model training and AI-specific chips, emphasizing breakthroughs and principle innovation [6] - The report indicates that closed-source models outperform open-source models by approximately nine months, with the future competition focusing on who can achieve cross-level integration first [7] Group 3: Major Players in AI - Eight major players, including OpenAI and Google DeepMind, are shifting from model competition to ecological competition [8] - Companies are moving towards personalized and specialized models, emphasizing efficient reasoning and multi-modal integration rather than merely pursuing larger scales [9] - OpenAI and Anthropic maintain closed-source strategies for safety and differentiation, while Meta and DeepSeek lean towards open-source approaches [11] Group 4: Industry Applications - AIGC is revolutionizing content production, education, healthcare, and manufacturing, leading to exponential efficiency improvements [12] - In content production, AI has created over 10,000 music pieces, showcasing remarkable efficiency in literary creation as well [13] - AI is transforming education by enabling personalized learning paths and fostering interdisciplinary creativity [14] - In healthcare, AI-assisted platforms are enhancing cancer diagnosis and treatment precision through integrated data analysis [15] Group 5: Future Outlook - The evolution of AGI will redefine human values, shifting from labor-centric to reflection and creativity-centric paradigms [18] - The economic paradigm is transitioning from scarcity to meaning, focusing on how to live more meaningfully rather than merely producing more [19] - The relationship between humans and AI is expected to evolve from automation to cohabitation, with a focus on symbiosis rather than complete automation [49][51]

RT Bloomberg New Economy (@BBGNewEconomy)The #BloombergNewEconomy Forum welcomes Chief Operating Officer of @GoogleDeepMind @lilaibrahim to the 2025 program.Learn more here: https://t.co/Ed2uAXB1DN https://t.co/NQeFErtIm4 ...