Hands on Workshop on learning to use Gemini 2.5 Pro in combination with Agentic tooling and MCP Servers. About Philipp Schmid Philipp Schmid is a Senior AI Developer Relations Engineer at Google DeepMind working on Gemini, Gemma with the mission to help every developer and builder to create and benefit from AI in a responsible way. Recorded at the AI Engineer World's Fair in San Francisco. Stay up to date on our upcoming events and content by joining our newsletter here: https://www.ai.engineer/newsletter ...

LAS VEGAS, July 11, 2025 (GLOBE NEWSWIRE) -- via IBN -- Glidelogic Corp. (USOTC: GDLG, "Glidelogic", "the Company") today announced the release of its first fully AI-generated novel titled The Thirteenth Proposal. The new novel, a political thriller of approximately 80,000 English words (with a 140,000-character Chinese edition), was written entirely by artificial intelligence systems. The Thirteenth Proposal, created by Glidelogic's proprietary Novagen AI based on outputs from Google Gemini 2.5 Pro and dev ...

在刚刚过去的半年，生成式AI的发展节奏悄然切换了频道。我们从投资人对估值的口风变化里察觉了 这一点，从创业者对产品设计语言的更新里也发现了端倪。这并不是又一次"模型换代"的技术热潮，而 是一场更本质的跃迁——从拼工具到拼交付，从参数军备到闭环实战。 我们把这场结构性转向称为"Agentic AI的崛起"，也正是在这个时间节点上，非凡资本联合火星加速器 将于7月18日举办「2025年度生成式AI全球化高峰论坛暨Go Global AI 100年度评选」，同时非凡学堂 也特地为AI应用创始人准备了7月19日～7月20日的AI 应用创业增长实战课，邀请头部 AI 应用创始人与 资深出海顾问，从 PMF 打造、全球 GTM、流量闭环到资本路径四条战线拆解实战方法论。 一· 什么是真正的"Agentic AI时刻"？ Agent，从来不是一个新词。但"Agent-as-a-Service"的热度飙升，标志着AI正在进入一种全新的产业范 式： 这一变化背后的信号非常清晰： 从"工具"到"同事"，从"插件"到"分身"，Agentic时代不再停留在科研设想，而是正在成为商业现实。 二· 非凡视角：为什么我们要做这场双轨论坛？ ...

RT Google Gemini App (@GeminiApp)Veo 3 update! We're expanding Veo 3 access to Google AI Pro users in 70+ additional countries, including France, India, Italy and more. Try it today in the Gemini app ➡️ https://t.co/gTWOnOwQDE ...

在这种情况下，当企业开始制定新的计划时，平衡就不再可能。企业的主要任务是扩张，而这种 扩张必然会导致企业利益交叉，并引发直接冲突。这种情况已经开始发生了。 不久前，有消息称 苹果正在与 OpenAI 谈判， 计划在其 Safari 浏览器中引入 OpenAI 的人工智 能技术。此举对谷歌构成了直接威胁，因为 Safari 默认使用谷歌的搜索引擎，而谷歌 每年为此 支付 200 亿美元 。 这个故事只是冰山一角。毕竟，仔细想想，它揭示了企业之间巨大的战略矛盾，从长远来看，这 些矛盾对企业的未来至关重要。 作 者丨Bay Area Ideas 编译 | 华尔街大事件 在过去的 20 年里，大型科技公司似乎将市场划分成不同的 利基 市场，彼此之间并没有直接竞 争。竞争存在于 科技市场的不同领域，但大公司并没有超越自己的利基市场。谷歌 在信息流和搜 索领域独大 。微软凭借其办公软件和操作系统主导着企业市场 。苹果则靠着封闭的高端生态系 统，手里握着最受欢迎的电子产品，借此触达了 10 亿级的用户群体。 这三大科技巨头划分了各自 的势力范围，互不冲突，这种平衡一度看起来会永远持续下去。 但2022年底人工智能的出现，显 ...

《华尔街日报》近日的一篇报道认为，中国人工智能企业正在削弱美国在全球人工智能领域的主导地位，挑战 美国的领先优势。 | #1: Google Gemini 2.5 Pro (U.S.) | | | --- | --- | | | 1,477 | | #2: OpenAl ChatGPT 4o (U.S.) | | | | 1,428 | | Tied #3: DeepSeek R1-0528 (China) | | | | 1,424 | | Tied #3: xAl Grok 3 Preview (U.S.) | | | | 1,422 | | Tied #9: Alibaba Qwen 3 (China) | | | | 1,388 | | Tied #11: Tencent Hunyuan (China) | | | | 1,376 | | Tied #11: MiniMax M1 (China) | | | | 1.373 | | Tied #13: Anthropic Opus 4 (U.S.) | | | | 1.373 | | Tied #13: Mistral Medium 3 (Europe ...

Core Insights - Apple Inc. is considering utilizing AI technology from Anthropic PBC or OpenAI for a new version of Siri, moving away from its in-house models in a significant strategic shift [1][4][5] - Discussions with both companies are ongoing, focusing on training their large language models to operate on Apple's cloud infrastructure [2][22] - This potential transition indicates Apple's struggle to compete in the generative AI space, which is seen as a critical technology advancement [4][10] Company Strategy - The current AI features of Apple are primarily powered by its own technology, known as Apple Foundation Models, with plans for a new Siri version based on this technology set for 2026 [3][5] - The exploration of third-party models is still in early stages, and no final decision has been made yet [5][12] - The internal project named LLM Siri continues to be developed alongside the discussions with external AI providers [5][10] Leadership and Management Changes - The evaluation of external models is led by Siri chief Mike Rockwell and software engineering head Craig Federighi, following the reassignment of responsibilities from AI chief John Giannandrea [7][29] - Rockwell has directed his team to assess the effectiveness of Siri using both in-house and third-party technologies [9][10] - Giannandrea's influence within the company is diminishing as responsibilities are shifted to other executives [28][29] Talent and Morale - There are concerns regarding team morale as some engineers feel blamed for the company's AI shortcomings, leading to potential talent loss to competitors offering significantly higher salaries [18][19][20] - Apple has made counteroffers to retain key talent, indicating the competitive landscape for AI engineers [21] Financial Considerations - Apple is negotiating financial terms with Anthropic, which is seeking a multibillion-dollar annual fee that escalates over time, complicating the potential partnership [27] - The company has already allocated a multibillion-dollar budget for 2026 to support its own AI model development [12] Future Developments - If Apple proceeds with third-party models, it may enhance Siri's capabilities to match those of AI assistants on Android devices, potentially improving its market position [5][10] - Apple is also exploring acquisitions to bolster its AI capabilities, including discussions with Perplexity and Thinking Machines Lab [16]

ab 26 June 2025 Powered by YES UBS Evidence Lab Global Research AI Research We'd flag: 1. At the GPU level, Nvidia's dominance as the training and inference platform of choice was even more pronounced, with rising interest in Blackwell. Key alternatives were proprietary chips from AWS and Google, with adoption of AMD still muted. 2. Microsoft maintained its material lead for hosting AI workloads/GPUs, AWS held its ground in #2, the use of Oracle increased modestly to 10% and the "neo- Clouds" combined to ca ...

Core Insights - The report by Menlo Ventures reveals that over 61% of American adults have used AI in the past six months, indicating a significant shift in consumer behavior towards AI integration in daily life [5][6][10] - Despite the high usage rates, only 3% of users are willing to pay for AI services, leaving a substantial market gap of $420 billion [6][13] - The report identifies key opportunities in personalized scenarios where AI penetration is still low, suggesting a focus for entrepreneurs [3][9] Market Overview - The consumer AI market has grown to a $12 billion industry within just two and a half years since the launch of ChatGPT [10][13] - With an estimated 1.7 to 1.8 billion global users, the market potential is vast, but the current revenue generation is significantly lagging behind potential [6][13] - The report highlights that 81% of the revenue in the consumer AI market is captured by general AI assistants, with ChatGPT alone accounting for approximately 70% of consumer spending [41][43] User Demographics - The report reveals unexpected user demographics, with millennials (ages 29-44) being the heaviest users of AI, contrary to the assumption that younger generations would dominate [16][19] - Parents are identified as "super users," with 79% having used AI, and 29% using it daily, significantly higher than non-parents [25][30] - High-income households show a higher AI usage rate, with 74% of families earning over $100,000 using AI compared to 53% of those earning under $50,000 [20][21] Usage Patterns - AI is predominantly used for routine tasks, with email writing being the most common application at 19% of users, followed by task management and research [50][51] - The report indicates that while AI is widely used, the depth of adoption in specific tasks remains shallow, suggesting that there is room for growth in specialized applications [52][55] - AI's role in creative expression is significant, with over 51% of creators using AI for writing, and 38% for presentations, indicating a strong market for creative AI tools [59][63] Opportunities for Growth - The report identifies five key areas where AI can create value: routine tasks, health management, learning and development, interpersonal connections, and creative expression [44][46] - There is a notable gap in AI adoption in health management, with only 20% of those seeking health information using AI, highlighting a potential market opportunity [71][72] - The report emphasizes the need for AI tools that can effectively address high-friction, high-trust tasks, as these areas present significant opportunities for specialized AI solutions [76][80] Future Trends - The report predicts a shift towards professional tools becoming mainstream, moving away from general assistants [86] - It anticipates that AI will evolve from task-oriented tools to comprehensive workflow automation, enhancing user experience [86] - The emergence of voice AI and physical AI in homes is expected to further integrate AI into daily life, creating new market opportunities [86]

Core Insights - The report reveals that over 61% of American adults have used AI in the past six months, indicating a significant shift in consumer behavior towards AI adoption [4][8] - Despite the high usage rates, only 3% of users are willing to pay for AI services, leaving a substantial market gap of $420 billion [8][11] - The report emphasizes that personalized scenarios with low AI penetration are key opportunities for entrepreneurs to explore [3][7] Market Overview - The consumer AI market has reached a size of $12 billion, with an estimated 1.8 billion global users, of which 500 to 600 million are daily users [4][11] - The report highlights a stark contrast between the high user base and low monetization, with only 3% of users converting to paid services [11][12] - The enterprise AI market has seen a significant increase in spending, reaching $13.8 billion, which is over six times the previous year [11] User Demographics - The report identifies surprising user demographics, showing that Millennials (ages 29-44) are the heaviest users of AI, contrary to the expectation that younger generations would dominate [13][16] - Parents are emerging as "super users," with 79% having used AI, and 29% using it daily, significantly higher than non-parents [22][26] - The report notes that AI usage is highest among students and high-income households, with 85% of students using AI tools [17][18] Usage Patterns - AI is predominantly used for routine tasks, with email writing being the most common application at 19% usage among American adults [47][49] - The report categorizes AI applications into five core areas: Routine Tasks, Physical and Mental Health, Learning and Development, Connection, and Creative Expression [42][44] - Despite the broad range of applications, the depth of AI adoption in any single task remains shallow, indicating that AI is not yet a daily necessity for most users [50][51] Opportunities for Growth - The report identifies significant opportunities in high-frequency, high-friction, and high-trust tasks where AI can provide substantial value [75][81] - Areas such as health management, financial management, and personalized learning show low AI adoption rates despite high demand, indicating potential market gaps [82] - The report suggests that specialized tools that address specific user needs could thrive in the current landscape dominated by general AI assistants [37][41] Future Trends - The report anticipates a shift towards professional tools becoming mainstream, moving away from general assistants [93] - It predicts that future AI will transition from task-oriented to workflow automation, allowing for more complex processes to be managed by AI [93] - The emergence of social AI tools that facilitate connections and relationships is also highlighted as a growing trend [93]