Core Insights - Perplexity has signed a multi-year licensing deal with Getty Images, allowing it to display Getty's images in its AI-powered search tools, marking a shift towards formal content partnerships [1][2] - The agreement is a response to previous allegations of content scraping and plagiarism faced by Perplexity, legitimizing its prior use of Getty's stock photos [3][4] - The deal aims to enhance attribution and accuracy in AI-generated content, addressing copyright concerns and improving user experience [5][6] Company Developments - Perplexity and Getty have collaborated for over a year, with Getty previously involved in Perplexity's Publishers' Program, which shares ad revenue with publishers [2] - The new agreement is not a traditional lump sum licensing deal, as Perplexity does not train its own foundational models [2] - Perplexity's emphasis on proper attribution is part of its strategy to defend against copyright accusations, arguing that its use of publisher content constitutes "fair use" [6] Legal Context - Perplexity faced plagiarism accusations from various news organizations, including a notable case involving a Wall Street Journal article [3] - Reddit has also sued Perplexity for alleged unlawful scraping of user content, highlighting ongoing legal challenges for the company [5] - The Getty deal is expected to help Perplexity provide better image displays and proper credits, potentially mitigating some legal risks [5][6]

其中， 在2025年6月30日后，硅基智能进军硅基全自动内容生产领域，标志着其硅基劳动力解决方 案实现从AI Copilot向Autopilot的进阶，并完成从AI工具服务向成果导向型解决方案的转型。 一方面，硅基智能的硅基劳动力解决方案可帮助客户显著降低用户服务成本、内容创作成本及市场营 销成本，同时提升运营效率并创新客户体验；另一方面，通过运营自有知识产权强化品牌影响力，进 一步开发硅基劳动力解决方案的商业价值。截至2025年10月24日，硅基智能已成功打造包括硅基大 司马、科技大司马、大司马聊科技、大司马谈科技及大司马说科技在内的大司马IP系列，全网累计获 取超1,100万关注者。 截至2025年10月24日，硅基智能还已向电信、金融、医疗、教育及公共服务等多个行业的客户提供 超过80,000个硅基劳动力。 根据灼识咨询的资料，就根据2024年提供数字人智能体解决方案产生之收入而言，硅基智能在中国 所有数字人智能体提供商中排名第一，在中国数字人智能体行业中持有32.2%的市场份额，处于领 导地位；在全球数字人智能体提供商中，就2024年提供数字人智能体解决方案产生收入而言，硅基 智能位列第二。 在今年5 ...

深圳商报·读创客户端记者 刘芳 10月30日，"一路光明"天使荟·善建科技投融资路演荟人工智能专场活动，在光明科技金融大厦举行。作为光明科发集 团打造的投融资服务品牌，"一路光明"聚焦重点产业集群，每期围绕一个优势产业开展专题路演，通过汇聚前沿项目 与专业资本，为创新的火花点亮未来。 能用，强链聚能，打造AI技术应用的"示范场"。2024年，光明人工智能上下游企业产值规模超300亿元，集聚了杉川 机器人、劢微机器人、工匠社等一批优质企业。同时，联合华为、深智城等企业打造智慧交通、智慧医疗、智慧应急 等示范场景，让AI技术有地可用、有处可试。 活动现场，光明科学城人工智能联创基金正式启动，这不仅是光明区首支聚焦人工智能领域的专项早期投资基金，更 是光明区抢占AI产业制高点、撬动未来发展的重要落子。该基金将依托光明科学城科技成果转化平台，探索"空间+服 务+资本+交易"一体化服务模式，为AI硬科技项目提供从孵化到转化的全链条支撑。 现场同步举办人工智能专场路演，吸引力合创投、招商致远、英诺创投、梅花创投、国信弘盛等约20家知名投资机构 及上市公司参与，多个项目达成初步投资意向，实现"基金启航即对接、生态搭建即见效 ...

Core Insights - Meta Platforms is committing $65 billion towards establishing AI infrastructure dominance, which reflects a significant strategic pivot beyond social media [1][3][11] - The investment aims to create personal superintelligence, a context-aware assistant integrated into daily life, potentially revolutionizing user interaction with technology [4][5][11] User Base and Engagement - Meta's user base consists of 3.48 billion monthly active users across its Family of Apps, representing nearly half of the connected world [3] - Existing AI tools are already generating substantial revenue, with AI-driven ad tools contributing $60 billion annually and improvements in Reels pushing a $50 billion run-rate [6] Competitive Landscape - The corporate AI arms race is a central threat, with competitors like Google, Microsoft, and Amazon making significant investments in AI, which could decouple Meta from its user base [7][8][9] - The competition has shifted from social media features to owning the next generation of digital interfaces, posing a structural threat to Meta's core advertising revenue [9][10] Analyst Perspective - Analysts express confusion regarding Meta's vision, indicating a knowledge gap that leaves investors uncertain about the implications of the company's strategic direction [2][10] - The current focus on short-term capital expenditures overlooks the existential threat posed by user displacement in an AI-first world [10]

The Perplexity application appears on a smartphone screen in this photo illustration in Athens, Greece, on October 2, 2025.Shares of Getty Images soared 25% on Friday after the company announced that it struck a multi‑year licensing agreement with Perplexity AI.Perplexity will be able to display creative and editorial content from Getty Images through its AI-powered search tools as part of the deal, according to a release. The startup will also improve how it displays imagery on its platform by adding image ...

Tempus AI (NASDAQ:TEM) isn't an AI stock that immediately comes to mind when one thinks of machine-learning-driven technological innovators with disruptive potential. ...

Core Insights - Xiao-I Corporation has renewed its strategic partnership with a leading multinational life insurance provider, focusing on the deployment of its iBot Pro platform, which enhances customer service in the insurance sector [1][2]. Company Overview - Xiao-I Corporation is a prominent cognitive intelligence enterprise in China, specializing in artificial intelligence solutions, including natural language processing, voice and image recognition, and machine learning [3]. Partnership Details - The renewal of the partnership emphasizes the effectiveness of iBot Pro in providing intelligent, scalable, and personalized customer service while ensuring compliance with industry regulations [1][2]. - iBot Pro facilitates seamless support across various customer touchpoints, including web portals, mobile apps, and social messaging platforms [1]. Technological Advancements - The iBot Pro platform offers 24/7 intelligent customer engagement, significantly reducing waiting times and enhancing customer satisfaction [5]. - It provides unified omnichannel support, ensuring a consistent service experience across digital platforms [5]. - High-accuracy intent recognition through advanced natural language processing allows for precise routing of complex insurance-related queries [5]. - The platform enhances operational efficiency by automating routine inquiries, enabling human agents to focus on more complex tasks [5]. - Rapid deployment capabilities allow for quick updates to the platform based on new products or regulatory changes without heavy IT reliance [5].

Core Insights - MiniMax has launched several advanced AI models, including the text model M2, video model Hailuo 2.3, speech model Speech 2.6, and music model Music 2.0, showcasing significant technological advancements in AI applications [1][2] Group 1: Text Model M2 - The newly released MiniMax M2 text model features 10 billion active parameters and a total of 230 billion parameters, achieving a historic breakthrough by ranking in the top five globally and first in open-source on the Artificial Analysis (AA) leaderboard [1] - The model's cost is approximately $0.53 per million tokens, which is only 8% of the cost of Claude 4.5 Sonnet, and it has a reasoning speed nearly twice that of its competitor [1] - Within just five days of its launch, M2 has become the fourth most called model globally on the OpenRouter API integration platform, ranking first among domestic models and third in programming scenarios [1] Group 2: Video Model Hailuo 2.3 - The Hailuo 2.3 video generation model represents a comprehensive technical upgrade over its predecessor, Hailuo 02, achieving significant improvements in dynamic expressiveness, stylization, and the intricacy of character performances [1] Group 3: Speech Model Speech 2.6 - The Speech 2.6 model has been deeply optimized for Voice Agent scenarios, reducing the first response time to 250 milliseconds, enabling complete interactive capabilities beyond simple voice-to-text conversion [2] Group 4: Music Model Music 2.0 - The Music 2.0 model excels in capturing and reproducing the subtle emotions of human voices and the dynamic tension of instruments, functioning like a "singing producer" that understands rhythm and emotion [2] - Significant breakthroughs have been made in vocal performance, with the model's sound quality closely resembling real human voices and capable of handling various singing styles and emotional expressions [2]

Core Insights - Guangdong has issued a total of 105 generative AI service registrations, ranking second in the country, with the latest batch including 11 new services across various sectors such as education, media, commercial real estate, and cross-border e-commerce [1][2][5] Policy Support - The policy framework in Guangdong is designed to foster an environment where AI can innovate freely while ensuring safety, transforming regulatory requirements into developmental momentum [1][5] - The establishment of the Guangdong-Hong Kong-Macao Greater Bay Area Generative AI Safety Development Joint Laboratory aims to support compliance and safety standards, thereby reducing compliance costs for enterprises [5][6] Enterprise Dynamics - The registration process serves as both a compliance entry ticket and a market trust certificate, indicating that companies can convert technological advantages into compliant products [7][8] - The AI industry in Guangdong has surpassed 220 billion yuan in scale, with over 1,500 core enterprises and 147 national-level specialized "little giant" companies, the highest in the country [7] Industry Landscape - The 105 registered models reflect a balanced structure of general and vertical models, with 54 industry-specific models and 51 general models covering various fields such as government, education, transportation, and agriculture [8][9] - The AI models are increasingly integrated into the real economy, with applications in education, smart home devices, and industrial sectors, showcasing the inclusive value of AI technology [9][10] Future Outlook - The joint laboratory plans to establish local service stations in cities like Hong Kong, Macau, Guangzhou, and others to provide policy consultation and technical evaluation services, enhancing regional collaboration in AI development [10][11] - The registration of 105 models marks a significant milestone in Guangdong's AI industry, indicating a shift towards a more controlled, active, and efficient AI ecosystem [11]

Core Insights - Joe Lonsdale, co-founder of Palantir Technologies, believes that the AI industry is underestimating the resources needed to meet ambitious targets [1][2] - Lonsdale warns of a cycle where AI executives seek more capital every 3-6 months, downplaying their needs to avoid alarming investors [2] - There is a significant increase in capital expenditures among major tech companies, with a 23% quarter-over-quarter and 85% year-over-year rise, totaling nearly $80 billion in the September quarter [3] Investment Perspectives - Analysts from Goldman Sachs, JPMorgan, and Wedbush argue that current AI investment levels are sustainable and could unlock an $8 trillion opportunity [4] - Mohamed El-Erian, chief economic adviser at Allianz, cautions that investments in some AI-related companies may lead to losses, describing the current market as a "rational bubble" [5] - Year-to-date performance of AI ETFs shows significant gains, with the Dan Ives Wedbush AI Revolution ETF up 35.42% and ARK Innovation ETF up 50.61% [5]