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Google and Microsoft offer lucrative deals to promote AI, but even $500,000 won't sway some creators
CNBC· 2026-02-06 12:00
Core Insights - Tech companies are increasingly leveraging social media influencers to promote their AI services, similar to traditional marketing strategies [1][2] - The competition among AI companies for user engagement is intensifying, with influencer marketing emerging as a key strategy [3][9] Advertising Trends - AI companies have significantly increased their advertising expenditures, with generative AI platforms spending over $1 billion on digital ads in the U.S. in 2025, marking a 126% increase from the previous year [3] - Digital ad spending by Google and Microsoft for AI products surged approximately 495% last month compared to a year earlier, while OpenAI's digital ad spending increased more than tenfold in 2025 [13] Influencer Marketing - Influencers are being compensated substantially for promoting AI tools, with payments ranging from $5,000 to $30,000 per campaign, and long-term partnerships with companies like Microsoft and Google reaching between $400,000 and $600,000 [8][12] - AI companies are actively seeking to build authentic connections with users through influencer marketing, with a notable increase in interest from creators [9][10] Major Events and Campaigns - Anthropic is investing millions in advertising during major events, such as airing spots during the Super Bowl to counter OpenAI's ad strategy within ChatGPT [4] - Influencers are creating content across various platforms, including LinkedIn and Instagram, to showcase how to use AI tools effectively [5][11] Creator Concerns - Some creators are hesitant to engage in brand deals related to AI due to ethical concerns and potential backlash from their audiences, with approximately half of U.S. adults expressing more concern than excitement about AI [15][16] - Notable creators have turned down lucrative deals, citing the impact of AI on traditional jobs and artistic labor as a primary reason for their refusal [17][18]
AI 大牛刘威创业公司完成 5000 万美元融资,12 月将发布新模型
AI前线· 2025-11-07 06:41
Core Insights - Video Rebirth, founded by Liu Wei, has completed a $50 million seed round funding to develop a video generation model aimed at the professional creative industry [2] - The company aims to make video creation as intuitive as conversing with a chatbot, providing controllable, high-fidelity, and physics-compliant AI video creation capabilities [2] - The funding will accelerate the development of their proprietary "Bach" model and unique "Physics Native Attention (PNA)" architecture, addressing significant challenges in the AI-generated entertainment (AIGE) sector [2] Funding and Development - The seed funding round was backed by Qiming Venture Partners and South Korean gaming company Actoz Soft Co. [2] - Video Rebirth plans to release the Bach model in December, along with an AI video generation platform to compete with OpenAI Sora [2][3] Competitive Landscape - Video Rebirth is entering a competitive field with major players like Google, ByteDance, and Kuaishou, which have shown strong monetization capabilities [3] - Kuaishou's Kling AI is projected to exceed $100 million in annual revenue by February next year [3] Model Performance - The newly evaluated Avenger 0.5 Pro model has shown significant performance improvements compared to its predecessor, ranking second in the Image to Video category on the Artificial Analysis Video Arena [3] - The model has not yet been made publicly accessible [3] Market Positioning - Liu Wei believes that while the landscape for large language models is dominated by major players, there is a fair opportunity for smaller teams in the video generation space [4] - The company will initially target professional users in the U.S. with a subscription model priced lower than Google Veo [4] Team and Expertise - Liu Wei and his team spent three months training the first version of their model, which incorporates industry-standard techniques with improvements for realistic object generation [4] - The team avoided using short video content for training to ensure higher model quality [4]
AI时代值得分享的是“问题,而非“答案”
Hu Xiu· 2025-07-05 11:33
Group 1 - The article discusses the shift in information disparity from platform-based to motivation-based, emphasizing the importance of critical reading and the use of emerging technologies to expand one's knowledge base [2][4][5] - It highlights that the barriers to knowledge and skills are dissolving, leading to a significant leverage difference among individuals using the same tools, which is often underestimated [5][6] - The concept of agency is presented as a rare super-competitive advantage in the current landscape, marking a pivotal moment in how individuals engage with information and technology [6] Group 2 - The article suggests that the approach to learning and skill acquisition is evolving, with a focus on practice and persistence rather than innate talent [7][8] - It emphasizes the importance of asking the right questions to deepen understanding and facilitate better decision-making in various contexts [3][4] - The narrative indicates a shift in the value of knowledge from mere accumulation to the structure and taste of knowledge, suggesting that individual value is now defined by how knowledge is organized and utilized [25][26]
We Tested Google Veo and Runway to Create This AI Film. It Was Wild. | WSJ
AI Video Generation - The film was created using AI video tools, including Google Veo 3, with most of the audio also AI-generated [1] - Google Veo and Runway were identified as the best AI video tools for achieving consistency in character representation across scenes [7] - The production process involved using Midjourney for character design and Runway's References tool for scene creation, followed by Google Veo for motion generation [9][10] - Veo 3 was used for text-to-video prompts in scenes without characters [11] AI Audio Generation - AI audio tools like ElevenLabs were used to generate character voices, with the option to describe or clone voices [12] - Suno, an AI music generator, was used to create the song at the end of the film [13] Production Cost & Human Input - The estimated cost for using Google and Runway's AI tools was around $1,000 [13] - The script was written by humans, emphasizing the importance of human input, creativity, and original ideas in AI-assisted filmmaking [13][14]