Generative AI may help turn consumers into active collaborators and creators, study finds

Google is highlighting its achievements in cloud services and AI chip development, yet there remains uncertainty about whether generative AI is contributing significantly to its revenue. This situation raises questions about the sustainability of AI growth and whether the current enthusiasm is justified, especially as discussions about a potential bubble in the AI sector continue.

The landscape of artificial intelligence is evolving, with a new contender, Agentic AI, emerging alongside the well-known Generative AI. While Generative AI has captured attention for its ability to create text, images, and code, Agentic AI promises to introduce deeper architectural and functional changes. Understanding the differences between these two forms of AI is crucial as they could significantly impact various applications and industries in the coming years.

The development of TRUST-VL, an explainable news assistant, marks a significant advancement in the fight against multimodal misinformation, which includes various forms of distortions like text and visuals. This tool is crucial as misinformation, especially amplified by generative AI, poses a growing threat to society. By recognizing that different types of misinformation share common reasoning capabilities, TRUST-VL aims to improve detection methods, making it easier to tackle unseen scenarios. This innovation not only enhances our understanding of misinformation but also equips us with better tools to combat its spread.

A recent paper introduces STaMP, a novel approach to quantization that enhances the efficiency of generative AI models. By utilizing sequence transformation and mixed precision techniques, STaMP aims to reduce inference latency and memory usage while maintaining accuracy, even when activations are quantized below eight bits. This advancement is significant as it addresses a common challenge in AI model deployment, making it easier for developers to implement high-performance models in resource-constrained environments.

A new research roadmap is set to revolutionize software engineering by integrating generative AI into its processes. This innovative approach not only enhances how software systems are developed and operated but also promises to improve collaboration among engineers. By leveraging insights from the FSE 2025 conference, the roadmap outlines a structured method for adopting generative AI, making it a significant step forward in the field. This matters because it could lead to more efficient and effective software development practices, ultimately benefiting businesses and users alike.

A recent study highlights the ongoing challenges of representational harms in generative AI systems, emphasizing that simply increasing representation does not automatically reduce bias. The research focuses on gender representation in various occupations, revealing that without addressing how individuals are portrayed, the risks of perpetuating stereotypes remain. This is significant as it calls for a deeper understanding of both who is included in AI outputs and how they are depicted, urging developers to implement more comprehensive bias mitigation strategies.

Apple's decision to introduce paid advertising on its Maps app has sparked concerns among users, particularly small businesses, about the potential impact on visibility and trust. As sponsored listings could overshadow organic results, many fear that this 'pay-to-play' model might disadvantage smaller players who rely on fair exposure. This change could reshape how users interact with the app, raising questions about the integrity of search results and the overall user experience.

Websites are frequented by a variety of non-human visitors, including crawlers, spiders, and bots that gather data for search engines and other platforms. Understanding these entities is crucial for developers as it aids in maintaining website visibility, monitoring performance, and protecting resources. This insight into web crawlers is increasingly important in the age of generative AI, where data collection plays a pivotal role.

The article discusses the evaluation of RAGs (Retrieval-Augmented Generation) on graph and SQL databases, highlighting the differences and potential applications of each approach. Understanding these distinctions is crucial for developers and data scientists as they choose the right database technology for their projects, ensuring optimal performance and efficiency.

In an exciting development for urban living, robots are increasingly being deployed in US cities to clean parks, fight fires, and mow lawns. This innovation not only enhances the efficiency of municipal services but also addresses labor shortages in these sectors. Experts like Peter Stone from the University of Texas highlight that while budget constraints have slowed adoption, the potential benefits for communities are significant. As cities embrace these technologies, we can expect cleaner environments and improved public safety, making our urban spaces more enjoyable for everyone.

Rajni, an AI developer, shares her journey of building a ChatGPT-like AI using free tools and open-source models. After a challenging experience trying to create a love poem in Hindi, she learned valuable lessons that she now imparts in a practical guide. This article is significant as it empowers aspiring developers to create their own AI chatbots without needing expensive resources, making AI more accessible to everyone.

This article provides a fun and straightforward guide on how to create emoticons using your keyboard, perfect for anyone looking to express themselves quickly in digital conversations. It emphasizes the simplicity of typing these symbols, making it accessible for all users, regardless of their tech-savviness. Understanding how to use emoticons can enhance online communication, adding a personal touch to messages.

This article provides a straightforward guide on how to install the Gemini CLI using Node.js, which is essential for developers looking to leverage Google's generative AI tools. By following the steps outlined, users can easily set up the CLI and start utilizing its features, making it a valuable resource for enhancing productivity and accessing advanced AI capabilities.

A new member has joined the DEV community, excited to share their journey and insights. With experience in JavaScript, Python, and TypeScript, they are eager to contribute to discussions and explore AI tools. This is a great addition to the community, as fresh perspectives can inspire innovation and collaboration among developers.