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DuckDuckGo Enhances Search Engine with AI-Powered Answers and Upgraded Duck.ai Chatbot

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DuckDuckGo, the privacy-first search engine, recently announced the official rollout of AI-assisted answers, a feature that had previously been available in beta. This new capability offers users AI-generated summaries of their search queries, providing a quick snapshot of relevant information, much like Google’s AI Overviews. However, DuckDuckGo sets itself apart by giving users more control over how often they see these summaries, a significant step in respecting user preferences and privacy.

In a blog post, DuckDuckGo CEO Gabriel Weinberg explained that this feature aims to enhance the user experience by offering fast, digestible information at a glance. The AI-powered summaries are designed to help users find answers more efficiently, saving time by summarizing key details from a variety of sources. While this can be convenient, DuckDuckGo understands that not all users may appreciate the shift toward AI-generated content, especially those who prefer the traditional search experience.

Unlike Google, which does not currently offer an easy way to disable AI Overviews, DuckDuckGo has given users the ability to control the frequency with which they encounter AI-generated summaries. Users can customize their settings by navigating to the “AI Features” section in search settings. The available options are “Never,” “On-Demand,” “Sometimes,” and “Often,” allowing for complete flexibility. For instance, the “On-Demand” setting gives users the option to view AI-generated summaries only when they choose to tap a button on the search results page.

Weinberg also reassured users about the privacy aspects of this new feature. DuckDuckGo emphasized that the AI models that generate the summaries do so anonymously, with no personal information being shared with third parties. The company’s commitment to protecting user privacy remains a core principle, ensuring that even with the integration of AI, the user’s personal data remains secure. With this update, DuckDuckGo continues to prioritize user control and privacy while offering a more efficient way to find information.

Foxconn Launches ‘FoxBrain’, Its First Large Language Model

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Foxconn, the Taiwanese tech giant known for its role as the world’s largest contract electronics manufacturer, has unveiled its first large language model, named “FoxBrain.” The company announced on Monday that the model is designed to enhance its manufacturing processes and streamline supply chain management. This move marks a significant step for Foxconn in integrating artificial intelligence (AI) into its operations, potentially reshaping how the company handles everything from production workflows to data analysis.

FoxBrain was trained using 120 of Nvidia’s powerful H100 GPUs, completing the training in just four weeks. The rapid development showcases the advanced capabilities of both Foxconn’s infrastructure and the GPUs provided by Nvidia. The model is built on Meta’s Llama 3.1 architecture, which offers robust natural language processing features. This is Taiwan’s first large language model to incorporate reasoning capabilities, and it has been specifically optimized to handle traditional Chinese and Taiwanese language styles, addressing a critical gap for local businesses and users.

While Foxconn acknowledged that there is a slight performance gap when compared to China’s DeepSeek distillation model, the company emphasized that FoxBrain’s performance is still very close to world-class standards. This positions FoxBrain as a competitive force in the rapidly growing field of large language models, demonstrating that Foxconn is capable of developing AI technology with global relevance. The company is clearly looking to position FoxBrain as a versatile tool that can assist not only in internal operations but also in broader AI applications.

Initially, FoxBrain will be applied for internal purposes, focusing on areas like data analysis, decision support, document collaboration, mathematics, reasoning, problem-solving, and even code generation. This wide range of applications reflects the model’s versatility and its potential to drive efficiencies across different sectors of Foxconn’s business. With its reasoning capabilities, FoxBrain could play a key role in automating decision-making processes and improving the overall productivity of Foxconn’s vast manufacturing ecosystem.

Google Rebrands Gemini Extensions as ‘Apps’, Enhanced with Gemini 2.0 Flash Thinking

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Google is introducing several updates to its Gemini platform, announced on Friday, aimed at improving user experience and enhancing its artificial intelligence (AI) capabilities. The updates focus on two main areas: a change in terminology for Gemini tools and an upgrade to how the AI chatbot integrates with other apps. This rollout is currently being extended to all Google Workspace accounts, but the terminology shift applies to all users of Gemini, bringing a more streamlined and unified experience.

One of the key changes involves renaming the Gemini extensions as “apps.” While the functionality of these extensions remains unchanged, Google has decided to remove the term “extensions” from the platform entirely. Instead, the Gemini interface will refer to these tools simply as apps, eliminating any mention of the previous term across both the Gemini app and the web client. This shift is designed to make the overall experience feel more cohesive and intuitive for users, aligning with a growing trend toward simplifying interface language.

As part of this update, the Gemini extensions menu is now labeled as the “Apps” menu. The description has also been updated to reflect the new terminology, now reading, “Bring it all together with Gemini and your favourite apps.” This replaces the earlier phrasing that mentioned extensions. Furthermore, the option to manage Gemini tools has been reworded from “Turn Gemini Extensions on or off anytime” to “Manage which apps Gemini connects to,” further emphasizing the move toward simplifying the platform’s language and user controls.

These changes signal Google’s ongoing efforts to enhance the integration between its AI services and other apps within the ecosystem. By adopting the term “apps,” the company aims to create a more seamless connection between Gemini and the wider array of tools available, improving the platform’s flexibility and user-friendliness. As Gemini continues to evolve, these updates are just a part of a broader push to make AI-driven interactions more accessible and easier to navigate for users across different platforms.