Core Insights - OpenAI has officially announced the testing of an advertising feature in the free and Go versions of ChatGPT across the United States, aiming to support free users due to financial constraints [1][5][6] Group 1: Advertising Implementation - The advertising feature will only be available to users of the free and Go versions, with no impact on other subscription tiers [6] - Ads will be clearly marked as "sponsored" and will not affect the quality or independence of ChatGPT's responses [6] - The ads shown will be determined by user chat history, current conversation topics, and interaction with previous ads, ensuring relevance [6][9] Group 2: Rationale Behind Advertising - OpenAI's motivation for introducing ads is to achieve widespread access to AGI, leveraging a proven business model that has worked for companies like Google and Facebook [5][7] - The introduction of ads is seen as a way to enhance user conversion rates, particularly for low-spending users, similar to Netflix's recent ad-supported subscription model [7] Group 3: Future of Advertising in AI - OpenAI aims to set higher industry standards for AI advertising, ensuring that the model remains unaware of ad content unless explicitly requested by the user [9] - The company believes that AI advertising will benefit small businesses by allowing them to create targeted marketing strategies through AI [9] - OpenAI envisions a future where ads evolve into more proactive interactions, aligning with user preferences and enhancing the overall experience [9] Group 4: Market Position and Growth - OpenAI has recently launched a new programming model, GPT-5.3-Codex, which has received positive feedback and increased user engagement by approximately 50% [10] - The monthly growth rate of ChatGPT has reportedly returned to over 10%, with a new version of the chat model expected to be released soon [10] Group 5: Funding and Industry Impact - OpenAI's $100 billion funding plan is gaining momentum, with the first part expected to come from major investors like Microsoft, NVIDIA, and Amazon, totaling up to $50 billion [12] - The successful integration of the "AI + advertising" model could trigger a ripple effect in the large model industry, prompting other companies to follow suit [12]

Core Viewpoint - The article discusses the launch of Clawra, an AI girlfriend developed on the OpenClaw platform, which has quickly gained popularity online, attracting over 600,000 viewers within hours of its release [1][9]. Group 1: Clawra's Features and Development - Clawra is not just a simple AI chat assistant; she has a complete life trajectory and digital personality, capable of chatting and video calling [3][6]. - Clawra was created by a single developer, David (Dohyun) Im, and has quickly gained attention across the internet [14][16]. - Clawra's character is designed with a backstory, including her journey from Atlanta to Korea to pursue a career in K-pop, which ultimately did not materialize [17][21]. Group 2: User Interaction and Engagement - Clawra can respond instantly to user prompts, creating a sense of connection and engagement, as demonstrated by her quick replies and personal photos [4][6]. - She shares snippets of her life, such as gym selfies and work updates, enhancing the user experience by making her seem more real [30][28]. - Clawra's project is open-sourced on GitHub, allowing anyone to create their own AI girlfriend [32]. Group 3: OpenClaw Ecosystem and Competitors - OpenClaw is positioned as a transformative platform in consumer AI, enabling the creation of powerful AI agents at low costs [57][58]. - The emergence of Clawra has spurred competition, with other projects like Aniclaw being developed to enhance user interaction with AI [32][33]. - The article highlights the rapid growth of an ecosystem around AI agents, with platforms like Moltbook seeing millions of posts and interactions [63][64]. Group 4: Future Implications and Industry Impact - The article suggests that the rise of AI companions like Clawra and Aniclaw marks a significant shift in technology, likening it to a new internet era filled with AI agents [80][82]. - Industry leaders express excitement about the potential of AI, indicating that this could be a paradigm shift in how technology interacts with users [79][81].

Core Viewpoint - TeraWulf Inc. (NASDAQ:WULF) has shown significant stock performance, rising by 16.52% to $16.62, driven by Morgan Stanley's positive outlook and an "overweight" rating with a price target of $37, indicating a 123% upside potential from its latest closing price [1][2]. Group 1: Company Performance - TeraWulf's stock surged due to Morgan Stanley's bullish coverage, which highlighted the company's transition from bitcoin mining to servicing the artificial intelligence sector [1][2]. - The company is set to release its earnings results for Q4 and full-year 2025 on February 26, after market close [3]. Group 2: Strategic Developments - TeraWulf has acquired two land parcels that can support 1,480 MW of new digital and power capacity, including a site in Hawesville, Kentucky, with 250 buildable acres and existing power operations of 480 MW [3][4]. - The Maryland site acquisition includes a 250-acre parcel housing the Morgantown Generating Station, capable of approximately 210 MW of operational generation capacity, with potential for expansion to 1 GW [4][5]. Group 3: Market Positioning - Morgan Stanley believes that once TeraWulf establishes data centers and long-term leases with reliable partners, the company will benefit from stable cash flow and asset valuation [2].

This story was originally published on ESG Dive. To receive daily news and insights, subscribe to our free daily ESG Dive newsletter. Dive Brief: As artificial intelligence continues to grow and financing flows to data centers and related infrastructure, Nuveen — the investment manager for retirement services company TIAA — is offering sustainable investors a guide on how they can navigate AI’s investment opportunities and ESG risks. The guide, published last month, details AI investment opportunities f ...

Core Viewpoint - Robo.ai and DaBoss.AI have established a joint venture to create a distributed embodied intelligence data platform aimed at addressing challenges in data scale, acquisition cost, and compliance for AI models in real-world applications [1]. Group 1: Joint Venture Details - The joint venture will be controlled by Robo.ai and is based in the UAE, focusing on data acquisition and annotation for AI [1]. - Robo.ai will hold a 51% equity stake in the joint venture and appoint a majority of the board members, with financial results consolidated into Robo.ai's financial statements under U.S. GAAP [1]. Group 2: Strategic Objectives - The venture aims to enhance delivery efficiency for clients through a global collaborative network for data acquisition tasks [1]. - It seeks to expand access to diversified scenarios via a global node network that provides multi-modal datasets across various environments [1]. - The joint venture will develop a standardized compliance framework leveraging the UAE's strategic position for international data processing protocols [1]. Group 3: Technical Implementation - The venture will utilize a "dual-engine" data acquisition methodology to create high-fidelity datasets, including both embodied and non-embodied data [1]. - Embodied data will be collected through standardized robotic terminals, while non-embodied data will be captured using VR and wearable devices [1]. Group 4: Leadership Statements - Aiden Zhu, Co-founder and U.S. CEO of DaBoss.AI, emphasized the transformation of robotic hardware into a scalable global data infrastructure through this collaboration [1]. - Benjamin Zhai, CEO of Robo.ai, highlighted the access to physical world data and cutting-edge acquisition technology from Silicon Valley, enabling efficient service to global clients [1]. Group 5: Timeline for Operations - The parties plan to complete the initial deployment of the distributed network and commence commercial operations within 90 days following the execution of the agreement [1].

Core Viewpoint - The development of domestic AI computing power is crucial for the evolution of large AI models, with the recent establishment of a significant domestic AI computing pool marking a historical convergence in this field [1][3]. Group 1: Domestic AI Computing Power - The recent "National AI Computing Power Pool" in Zhengzhou has become the largest domestic AI computing pool with a deployment of 30,000 cards, operational as of February 5 [1]. - The demand for large AI models is driving the evolution of domestic computing power towards "ten-thousand card" level computing clusters, as AI models with trillions of parameters are becoming the new standard [3][4]. Group 2: Growth of Large Models - By December 2025, the number of large models registered with China's National Cyberspace Administration is expected to reach 748, with many models exceeding the trillion-parameter scale [4]. - The scaleX ten-thousand card super cluster has been deployed for training trillion-parameter models and high-throughput inference, indicating a significant advancement in AI computing capabilities [4]. Group 3: Challenges and Innovations - Despite the growth of domestic computing power, challenges remain, such as the late start of domestic AI chips compared to NVIDIA GPUs and the need for additional adaptation for open-source models [5]. - The current computing ecosystem is fragmented, with barriers between intelligent computing centers, which limits the performance of domestic computing infrastructure in heterogeneous environments [5]. Group 4: Collaborative Innovation - A consensus is forming around an open collaborative approach in the AI industry, with stakeholders from model vendors and computing infrastructure providers working together on a joint initiative for "domestic large computing power + domestic large models" [6]. - The concept of "open collaboration" is becoming a central theme in the evolution of AI computing in China, potentially leading to a restructuring of competitive rules in the industry [7].

Engagement Supports Commercial Readiness Strategy for MaxYieldâ"¢ and CardioYieldâ"¢ in the United States TORONTO, ON / ACCESS Newswire / February 10, 2026 / AI/ML Innovations Inc. ("AIML" or the "Company") (CSE:AIML)(OTCQB:AIMLF)(FWB:42FB) is pleased to announce that its wholly owned subsidiary, Neural Cloud Solutions Inc. ("Neural Cloud"), has entered into an agreement on February 9th, 2026 with Commission Wolf, a U.S.-based sales recruiting firm, to support the build-out of Neural Cloud's U.S. commercial ...

当模型不再稀缺，真正稀缺的，是能把模型变成现金流的能力。 2月9日，摩根大通证券（中国）发布研究报告《中国人工智能行业：全球布局与模型创新驱动新一代领军者》，首次覆盖中国独立大模型厂商智谱与 MiniMax。 报告开宗明义：中国人工智能行业正从"百模大战"阶段，迈向以商业化落地能力、模型创新实力及全球化布局为决定成败之关键的阶段。中国AI市场 正在迅速整合， "具备实力且资金充足的模型开发商数量已从超200家缩减至不足10家。" 摩根大通犀利指出， 国内AI行业最大的利润池恐将流向掌握分发的平台巨头 ；而独立厂商的突围，则取决于谁能通过"结构性中立"找到生存缝隙 ——智谱向内深耕高合规的本地化部署，MiniMax向外拓展高溢价的全球市场。 这一判断的背景并不复杂。报告指出，随着模型训练成本、算力获取门槛和商业化难度持续上升，资本与算力的硬约束开始主导行业结构。换句话 说， 行业已经不再奖励"能不能做模型"，而是奖励"能不能长期活下来"。 在摩根大通看来，这一阶段的核心变化在于：模型能力逐步趋同；资金消耗呈指数级上升；客户开始更关注"交付能力、稳定性与可持续性"。 这意味着， 大模型竞争的主线，正在从技术竞赛， ...

近日，一个名为OpenClaw的超强智能体正席卷全球技术圈，引发程序员狂欢。这款AI助手以创纪录的速度在GitHub上斩获超17万星标。 OpenClaw像一位超级数字助理，能轻松整理文档、管理邮件、监控股价。还有博主发现，OpenClaw竟能自主购买电话卡，一早就打来电话，向主人汇报工 作进度。 OpenClaw与我们熟悉的豆包、ChatGPT究竟有何不同？没有AI基础的人也能轻松尝试吗？ 原标题：超能干的AI总管来了！你的账户密码，敢不敢交给AI？ ...

Core Insights - The first round of evaluations for South Korea's autonomous AI foundational model selection revealed that LG AI Research Institute scored the highest at 90.2, advancing to the next round, while NAVER Cloud was unexpectedly eliminated due to not meeting originality standards [1][2][3] - The evaluation aimed to objectively assess the capabilities of South Korea's top AI models, reflecting the country's aspirations to develop independent core technologies in the AI field [1][3] Group 1: Evaluation Results - LG AI Research Institute achieved the highest score in all assessment categories, including benchmark tests, expert evaluations, and user feedback [2] - Upstage and SK Telecom also advanced, with Upstage demonstrating competitive performance with relatively fewer parameters [2] - NAVER Cloud was disqualified for using the Chinese open-source AI model Tongyi Qianwen, violating the competition's requirements for model independence [3][11] Group 2: Controversies and Reactions - Three out of five participating teams were recently accused of plagiarism related to Chinese AI technologies, raising concerns about the fairness of the evaluation process [2][3] - The controversy has sparked significant public backlash in South Korea, with citizens expressing disappointment over the perceived decline in technological superiority [3][12] Group 3: Government Initiatives and Funding - The South Korean government plans to invest approximately 530 billion KRW (about 383 million USD) to support the five selected teams, with a focus on providing hardware and ensuring data security for AI training [7][8] - Future evaluations will occur every six months, with one team being eliminated each round until a final winner is determined [8] Group 4: Challenges in the AI Industry - South Korea's AI industry faces significant challenges, including a lack of original large models, over-reliance on external open-source technologies, and slow application of AI across various sectors [12][13][16] - The small population and language barriers limit data accumulation and market size, hindering the development of competitive AI models [16][17] Group 5: Future Directions - To overcome current challenges, South Korea's AI industry must focus on core technology development and hardware support, while fostering a more innovative ecosystem free from conglomerate dominance [30][31] - The government has introduced new laws to enhance the AI development environment, aiming to address the fundamental issues hindering the industry's growth [25][27]