Welcome to this new edition of our update on artificial intelligence. This week, technological advancements continue to redefine the landscape of digital marketing. Leading companies are unveiling innovative tools aimed at optimizing your strategies.
The world of AI is enriched with the launch by OpenAI of the o3 and o4-mini models, capable of “thinking with images.” These advanced models enable sophisticated analysis of sketches, diagrams, and whiteboards, even of low quality, integrating this data into reasoning processes. Tailored respectively for the fields of mathematics, sciences, and image understanding, they offer flexibility and efficiency through the autonomous use of tools like Python and image generation.
For its part, Google is making its video generator Veo 2 accessible to subscribers of its Gemini Advanced service at $20/month. This tool allows for stylized video creation in seconds, simplifying the production of dynamic visual content without the need for extensive technical skills. The introduction of Whisk Animate further enhances prompt-based animation capabilities while ensuring transparency through SynthID watermarks.
Anthropic is enhancing its assistant Claude by integrating autonomous research and access to Google Workspace. This update transforms Claude into a virtual collaborator capable of conducting in-depth research and accessing users’ calendars, emails, and files with approval. These features promise a significant increase in productivity for marketing teams by automating research and competitive analysis tasks.
OpenAI responds to economic pressures by introducing Flex processing, a low-cost API option for non-critical tasks. Intended for operations such as data enrichment and asynchronous processing, Flex reduces costs while maintaining acceptable performance. Meanwhile, Microsoft unveils BitNet, an ultra-efficient model running on CPU, ideal for lightweight or embedded applications used by marketers.
The expansion of automation tools continues with Microsoft Copilot Studio, now able to simulate user actions on applications and websites. This feature facilitates task automation without requiring APIs, speeding up operations such as lead enrichment or form submissions.
Apple is not standing by and is focusing on privacy protection by using synthetic emails to train its AI models, thus ensuring user data confidentiality while improving email summary performance. This approach could influence expectations regarding responsible AI in customer communication tools.
Finally, Meta resumes training its AI models on the public posts of European users, promising better alignment of marketing campaigns targeting this market while adhering to strict data protection regulations. This decision comes amid U.S. regulators considering restrictions on access to American technologies, which could impact AI services focused on the Chinese market.
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What advancements from OpenAI marked the past week?
The week of April 18, 2025, was rich in innovations for OpenAI. The company launched the o3 and o4-mini models, capable of “thinking with images.” These models offer advanced image analysis capabilities, allowing for the interpretation of sketches, diagrams, and whiteboards, even in low resolution. The o3 model is optimized for mathematics, sciences, and visual understanding, while the o4-mini is designed to be faster and more economical.
These new models can now use tools autonomously, such as Python, web browsing, and image generation. For marketers, these multimodal capabilities facilitate planning visual campaigns, creating content, and analyzing, thus enhancing marketing team productivity and creative workflows.
Additionally, OpenAI introduced Flex processing, a low-cost API option for non-critical tasks. Aimed at low-priority tasks such as data enrichment and asynchronous processing, Flex allows for a 50% reduction in typical input and output token costs. This initiative responds to the growing cost pressures of AI and competition from budget models like Google’s Gemini 2.5 Flash.
To learn more about OpenAI news and other AI developments, check our recap of the news and opinions from the past week.
How is Google revolutionizing video generation with Veo 2?
Google has highlighted its powerful video generator Veo 2, now accessible to subscribers of Gemini Advanced at $20/month. Initially reserved for enterprise clients, Veo 2 allows for the creation of 720p videos of 8 seconds in MP4 format using AI prompts. Trained on a vast amount of YouTube content, this model generates stylized clips such as crocheted animals and drawn cats.
In parallel, Google launched Whisk Animate, which enhances the creation of prompt-based animations. All videos generated by Veo will include SynthID watermarks to ensure transparency. This increased accessibility to AI video generation tools enables marketers to create dynamic video content for their campaigns without high production costs or specific technical expertise.
To explore more about the UX improvements related to AI and how they can boost your SEO, visit our article on four UX improvements to enhance your SEO ranking.
How is Claude by Anthropic changing the landscape of autonomous research?
The company Anthropic has made significant updates to its assistant Claude, integrating autonomous research tools and full integration with Google Workspace. Claude can now perform layered web searches and cite its sources independently, while accessing users’ calendars, emails, and files (with administrator approval).
These improvements position Claude as a true virtual collaborator, capable of automating research, competitive analysis, and retrieving internal knowledge. These features are particularly beneficial for marketing teams, as they enable faster content planning and campaigns, while ensuring enterprise-level security.
Discover the latest thoughts on AI and its impacts by visiting our AI update from September 20, 2024.
What are Microsoft’s new tools for task automation?
Microsoft continues to strengthen its AI ecosystem with two major announcements. First, Microsoft researchers unveiled the BitNet b1.58 2B4T model, a hyper-efficient model designed to run on CPUs, including the Apple M2. With 2 billion parameters and trained on 4 trillion tokens, BitNet outperforms similarly sized models in terms of performance while providing enhanced efficiency in memory and processing through weight quantization.
Next, Microsoft improved Copilot Studio by adding a “computer use” feature, allowing AI agents to interact with applications and websites by mimicking user actions such as clicks, form entries, and menu selections. This feature enables task automation without requiring APIs, even when interfaces change dynamically. For marketers, this means accelerating operations such as lead enrichment or form submissions.
For an update on the latest news and perspectives on AI, check our article from February 28, 2025.
How is Apple protecting privacy with its AI models?
Apple has taken an innovative approach to AI model training by using synthetic emails to enhance AI-driven email summaries while preserving user privacy. Unlike competitors like Meta, which trained their models on users’ posts unless opted out, Apple combines machine-generated messages with differential privacy techniques to enhance model performance without exposing sensitive data.
This method ensures that sensitive information is not disclosed, although the use of synthetic data may introduce biases and limitations. However, Apple succeeds in balancing the need for effective model training with user data protection, thus addressing recent criticisms regarding its AI capabilities.
To learn more about AI updates and perspectives, visit our update from April 4, 2025.
What impact does Meta have on AI model training in Europe?
Meta has resumed training its AI models using public posts from EU users, an initiative that had been suspended last year due to privacy concerns. The company assures that it will not use private messages and will offer opt-out options to users. This decision follows regulatory review and coincides with the launch of Meta’s AI assistant in Europe.
For marketers, this resumption means that AI models might better reflect the behavior of European users, thereby improving the relevance of targeted campaigns and user profiling in this region. It could also influence expectations regarding data protection and the personalization of advertising content.
More information on this news and its implications is available in our update from February 28, 2025.
What is the significance of Zhipu AI’s IPO for the Chinese AI market?
The Chinese startup Zhipu AI has begun the preliminary process for an initial public offering, aiming to become the first next-generation AI company in China to be publicly listed. Backed by government funding, Zhipu claims that its GLM4 model outperforms GPT-4 on several benchmarks while offering significantly reduced operating costs.
Zhipu has also open-sourced some of its smaller models, which could stimulate innovation and AI adoption across various sectors. For marketers, Zhipu’s growth indicates a strengthening of the AI ecosystem in China, likely to create pressure on pricing and innovation of currently used Western providers.
For an overview of the major perspectives from the past week in AI, check our update from February 28, 2025.
What developments are expected for GPT-4.1 and its variants?
OpenAI is preparing to launch GPT-4.1, an improved version of its GPT-4o model, as well as mini and nano variants. These new versions are designed to enhance multimodal performance, covering text, audio, and image processing. While deployment delays may occur due to infrastructure limitations, these improvements promise a more efficient architecture.
The o3 and o4-mini models will also continue to be part of this update cycle. For marketers, these more advanced models offer faster performance and better management of multimedia content, essential for campaign generation, creative development, and data analysis.
Moreover, OpenAI has announced the gradual phasing out of GPT-4 in ChatGPT by April 30, replacing it with GPT-4o. The latter outperforms GPT-4 in writing, coding, STEM, and conversation while being more economical. Users inserting GPT-4 through the API will still have access to this model until they migrate their workflows to GPT-4o.
For a detailed analysis of OpenAI’s innovations, check our update from February 28, 2025.
How are European regulators influencing AI training at X (formerly Twitter)?
The Irish data protection agency, Data Protection Commission (DPC), has launched an investigation into X’s (formerly Twitter) use of EU users’ public data to train its AI system Grok. Despite X’s prior agreement to cease using this data without consent, the DPC is intensifying its scrutiny, which could result in fines of up to 4% of the company’s global turnover.
This investigation highlights increased oversight of AI model training practices by EU regulators. For marketers, this means a potential reduction in available data signals for advertising targeting and content personalization, while reinforcing the necessity to comply with data protection standards in marketing campaigns.
To learn more about the implications of this investigation and other regulatory news, check our update from February 28, 2025.
What are the new AI assistants integrated into smartphones?
The upcoming Motorola Razr will integrate the AI assistant Perplexity, alongside Google’s Gemini, offering a dedicated user interface to encourage its use. This partnership fits into a broader trend, with initial discussions underway between Perplexity and Samsung to integrate this assistant into their devices. Perplexity’s AI agents may soon handle tasks such as booking flights via voice commands.
This native integration of AI assistants into smartphones could transform how users discover and interact with information, affecting mobile marketing, SEO, and customer journey mapping. For marketers, this represents an opportunity to leverage new user engagement channels and personalize interactions at a more granular level.
To stay informed on the latest trends in AI and marketing, check our update from February 28, 2025.
How does ChatGPT facilitate the management of AI-generated visuals?
OpenAI has launched a library of images in ChatGPT, allowing users to view, access, and create AI-generated images all in one place. Available on mobile and web, this feature displays a grid of previously generated images and includes an option to create new ones. This helps users manage their visual content without losing previous creations.
For marketers, this library simplifies visual asset management, promoting brand consistency and optimizing creative workflows. The ability to easily reuse generated images enhances efficiency in content production for campaigns and other marketing initiatives.
For an in-depth analysis of the tools and features of ChatGPT, visit our recap of the news from December 2024.
What are the stakes of OpenAI’s new social platform?
OpenAI is working on developing a new social network similar to X (formerly Twitter), integrating a social feed linked to image generation by ChatGPT. Although this project is still in internal prototype phase, the goal is to integrate user content in real-time for data training. This initiative would allow OpenAI to directly compete with giants like Meta and Musk’s xAI.
For marketers, this new platform could offer a channel for distributing high-quality AI-generated content and valuable data insights, potentially modifying how marketing strategies are experimented and distributed. Such a platform could also influence trends in content creation and user engagement.
To stay updated on OpenAI developments and other social initiatives in AI, check our update from February 28, 2025.
What are the advantages of integrating AI assistants into mobile devices?
The integration of AI assistants like Perplexity and Google’s Gemini into smartphones such as the Motorola Razr opens up new possibilities for users. These assistants can handle complex tasks via voice commands, providing a seamless and interactive user experience. For example, the ability to book flights or manage calendars directly from the assistant simplifies daily life and optimizes time management.
For marketers, this represents an opportunity to create more personalized and engaging user experiences. The native presence of AI assistants on mobile devices also allows for capturing accurate data on user behaviors, thus facilitating targeting and personalization of marketing campaigns.
To learn more about innovations and their impact on marketing, check our update from February 2025.
What challenges does DeepSeek’s use of AI pose in the United States?
The Trump administration is considering sanctions to prevent DeepSeek, a Chinese company, from accessing American technologies. These measures aim to block DeepSeek’s acquisition of technologies and restrict Americans’ access to its services. DeepSeek’s low-cost AI models, potentially trained on hardware from the United States, have raised concerns among regulators.
Exports of Nvidia H20 AI chips to China have already been restricted, and U.S. lawmakers are pressing Nvidia on the compliance of its practices. These export controls aim to prevent advanced military use of AI by China. For global marketers, increased restrictions may lead to disruptions in China-focused AI services and competitive changes in available models or pricing structures.
To follow geopolitical developments influencing AI, check our update from February 2025.
How do EU regulations affect AI training practices?
The Data Protection Commission investigation into X (formerly Twitter) regarding the use of EU users’ public posts to train its AI system Grok highlights the importance of data protection regulations. Despite the agreement to cease using data without consent, the DPC is ramping up its scrutiny, potentially leading to severe fines for non-compliance.
These strict regulations compel companies to reassess their AI model training practices, ensuring better user data protection. For marketers, this means an increased need to comply with data protection standards and a possible decrease in available data for targeting and personalizing advertising campaigns.
Discover the details of this investigation in our update from February 28, 2025.
What are the benefits of CPU-friendly AI models for businesses?
Microsoft has unveiled the BitNet b1.58 2B4T model, designed to deliver efficient AI performance on CPUs, including Apple M2. With 2 billion parameters and trained on 4 trillion tokens, BitNet exceeds similar models in performance benchmarks. Weight quantization to -1, 0, or 1 allows for greater efficiency in memory and processing, making this model particularly suited for lightweight or embedded applications on embedded systems.
For marketers working on lightweight or embedded systems, this new type of AI offers a more flexible and economical implementation opportunity, especially for applications on mobile devices or embedded devices requiring lightweight artificial intelligence.
To delve into Microsoft’s technological advancements and their marketing applications, check our update from February 28, 2025.
What are the impacts of Claude voice integration by Anthropic on the AI market?
Anthropic is preparing to launch its voice assistant Claude, offering three voice options: Airy, Mellow, and Buttery. This feature will allow users to interact with Claude by voice, similar to how ChatGPT by OpenAI operates. According to Bloomberg, the launch could take place as early as this month.
This voice interaction capability opens new avenues for marketers in user engagement, especially for content distribution, customer service, and accessibility-focused experiences. Vocal interactions enable a more natural and intuitive communication, thereby increasing user satisfaction and engagement.
To follow the latest innovations in the field of voice assistants, check our update from February 2025.
How do AI innovations influence marketers’ content strategies?
The numerous innovations presented this week, ranging from OpenAI’s multimodal models to Google‘s video generators, and from Claude’s autonomous research capabilities from Anthropic, offer marketers a variety of powerful tools to optimize their content strategies. The integration of these technologies allows for faster, more diverse, and better-targeted content creation while automating repetitive tasks and enhancing marketing performance analysis.
The use of image libraries within ChatGPT or task automation via Microsoft Copilot Studio enables marketing teams to focus on more creative and strategic aspects of their campaigns. Moreover, voice assistants such as Claude expand engagement channels, providing richer and more personalized interactions with users.
For even more effective content strategies, explore our tips on four UX improvements to enhance your SEO ranking.
How are regulations and international innovations shaping the future of AI?
The strict EU regulations on training AI models, combined with the rapid innovations from companies like OpenAI, Google, and Anthropic, create a dynamic and complex landscape for AI. Initiatives aimed at protecting privacy and regulating data usage directly influence how AI models are developed and deployed.
At the same time, technological advancements offer new opportunities for marketers to adopt more sophisticated tools, thereby improving the efficacy of campaigns and personalizing customer interactions. However, regulatory constraints also impose a necessity for adaptation and compliance, pushing companies to innovate while adhering to ethical and legal standards.
For a comprehensive view of trends and perspectives in AI, check our update from February 28, 2025.
