Google’s Gemini app is introducing a new feature called “scheduled actions,” enhancing its functionality for everyday tasks. This update allows users with a Google AI Pro, Ultra subscription, or supported Google Workspace plans to automate specific tasks at designated times or on a recurring basis. Notably, it works across platforms, benefiting iPhone users with the app installed. Gemini can now proactively manage routine tasks, such as sending daily calendar summaries, weekly blog ideas, or sports updates, as well as handling one-time requests. Users can easily manage scheduled actions within the app’s settings by specifying tasks and times. This update aligns with Google’s goal of transforming Gemini from a reactive chatbot into a more helpful daily assistant, making it a practical enhancement for organization and task management. The feature is currently available for eligible users on both Android and iOS without needing a new app download.

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AI is revolutionizing video creation, moving beyond just deepfakes and filters to allow users to generate high-quality videos purely through text prompts. Two leading platforms, OpenAI’s Sora and Google’s Veo, exemplify this innovation. Sora, integrated into ChatGPT, allows users to create 10-second videos (720p) with a Plus subscription and 20-second videos (1080p) with a Pro subscription. Veo promises cinematic quality, enabling 60-second videos with advanced features like camera movements and lighting changes through simple commands. To use Veo, users can subscribe to Google’s Gemini plans, which vary in pricing and features. A recent test comparing a golden retriever puppy video on both platforms revealed Sora’s strength in visual detail, while Veo excelled in lifelike motion. This shift towards effortless video production democratizes storytelling for marketers, creators, educators, and enthusiasts, hinting at a bright future in AI-driven content creation.

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Employees at the Department of Government Efficiency (DOGE) used a flawed AI model to assess contracts at the Department of Veterans Affairs (VA), leading to the cancellation of hundreds of contracts worth millions. Under a tight 30-day deadline to respond to a directive from President Trump, engineer Sahil Lavingia rushed to develop the AI, which aimed to “munch” contracts not directly supporting patient care. However, the AI’s methodology was severely flawed, as it only analyzed the first 10,000 characters of contracts, lacked precise definitions for critical terms, and was built on an outdated model. Consequently, many essential contracts were flagged inaccurately. Experts noted that the AI couldn’t comprehend the specifics required for such evaluations. Though Lavingia acknowledged mistakes were made, he claimed all flagged contracts were vetted by others. Initially, 875 contracts were set for cancellation, but this was later revised to about 585 after pushback from veteran advocates and stakeholders.

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The R Street Institute emphasizes the need for Congress to equip the federal government with the necessary tools to implement artificial intelligence (AI) effectively and efficiently. They suggest that legislative measures should focus on fostering innovation and ensuring that AI technologies are used responsibly in public governance. This involves establishing clear guidelines for AI development, enhancing collaboration between government agencies and the private sector, and prioritizing transparency and accountability in AI applications. The Institute warns that without proper regulatory frameworks, the potential benefits of AI in enhancing public services could be hindered. By taking proactive steps, Congress can help ensure that AI contributes positively to society while mitigating risks associated with its misuse. Overall, the report advocates for a structured approach to AI governance that balances innovation with ethical considerations, allowing for beneficial advancements in technology without compromising public trust.

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In Gemini, the “Saved Info” feature allows users to store personalized instructions for improved interactions with the chatbot. Found in the app settings, this feature enables you to create shortcuts that automate common tasks, enhancing productivity. For instance, you can provide a pre-written instruction that allows commands like “H2s” to convert document subheadings automatically. Additionally, users can customize instructions for drafting cover letters or managing smart home commands with ease—for example, saying “movie time” could automatically adjust lighting settings. This feature promotes automation without requiring coding skills, offering a straightforward approach to task management. However, users should remain cautious; while “Saved Info” effectively streamlines prompts, it doesn’t guarantee flawless execution of complex commands. Adjusting and customizing prompts according to specific needs enables better engagement, making Gemini a more efficient tool for personal and professional tasks.

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Google’s Gemini 2.5 Pro is undergoing significant updates to enhance its coding capabilities, addressing prior issues related to formatting and coherence. Positioned as the first stable release of the Gemini line, this model has focused on rectifying regressions that previously affected its conversational abilities. Google claims improvements in writing nuance and formatting clarity, which should make it more appealing for both developers and general users. Notably, the updated model has excelled in coding tests, outscoring rivals like OpenAI and Anthropic. Additionally, the new “configurable thinking budgets” allow developers to optimize computing power usage for complex inquiries. While it currently remains in beta, the refinements are expected to roll out to the public-facing version soon. As Google aims to solidify Gemini as its flagship AI model amidst stiff competition, the updates position it more robustly in the evolving AI landscape, promising both reliability and advanced functionalities.

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Envestnet has launched two new AI tools—Generative Business Intelligence and Insights AI—aimed at enhancing data interpretation and decision-making for financial advisors. These innovations are part of Envestnet’s strategy to simplify access to client insights and streamline advisory workflows, aligning with the growing need for efficient data analysis tools. The Generative Business Intelligence tool enables users to obtain information through natural language queries, generating real-time visual data representations. It integrates securely with OpenAI’s language model for data retrieval. Insights AI builds on the existing Insights Engine by utilizing agent-based AI to identify advisor intent and suggest impactful actions like tax-aware losses or asset consolidation, providing context-rich responses instead of relying solely on dashboards. Envestnet plans to enhance these tools further by allowing customization for enterprises. The company aims to create a comprehensive AI-driven wealth management ecosystem, encouraging better client decision-making and deeper portfolio insights.

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Pattern introduced a range of AI-driven eCommerce innovations at its Accelerate 2025 event. The company aims to enhance online shopping experiences for brands and consumers. Key features include advanced analytics tools that leverage artificial intelligence to optimize product listings, improve inventory management, and personalize customer interactions. These innovations are designed to streamline operations and boost sales for businesses. Pattern also emphasized its commitment to data security and continuous improvement, ensuring brands can confidently implement these solutions. With these advancements, the company positions itself as a leader in the evolving eCommerce landscape, helping brands navigate challenges and seize growth opportunities in an increasingly digital world. The event showcased Pattern’s vision for the future of online retail, highlighting the transformative impact of AI on eCommerce strategies.

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