OpenAI has partnered with the General Services Administration (GSA) to offer federal agencies access to ChatGPT Enterprise for just $1 for a year. This initiative promotes efficiency and aligns with the Trump Administration’s AI Action Plan aimed at reducing red tape. Early pilot programs in states like Pennsylvania and North Carolina demonstrated significant time savings for government workers. OpenAI asserts robust security measures to ensure federal data remains private and isn’t used for training its AI models. This aggressive strategy could lead to heavy reliance on ChatGPT within federal operations, paralleling Microsoft’s earlier software strategies. Competitors like Anthropic are also pursuing government contracts with similar $1 offers. As federal employees gain access to advanced AI tools, future pricing negotiations will become crucial once the initial period concludes. This partnership represents a significant shift towards modernizing federal IT systems, potentially enhancing service delivery for citizens.

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At the recent Black Hat cybersecurity conference in Las Vegas, researchers from Tel Aviv University unveiled a concerning vulnerability in Google’s Gemini AI, showcased through a technique called “Invitation Is All You Need.” This indirect prompt injection attack allows malicious Google Calendar invites to execute commands on smart home devices. By embedding harmful instructions into calendar events, the researchers revealed that simple responses like “thanks” could trigger actions such as turning on lights or heating systems. This marks a significant advancement in the capabilities of generative AI, enabling it to cause physical consequences. The team identified 14 unique exploitation methods involving actions like sending spam and deleting appointments. Due to the attack’s stealthy nature, users may struggle to trace malicious activities back to the original calendar invites. In response, Google is implementing enhanced security measures, including stronger detection and user confirmations for high-risk actions, recognizing the growing threats associated with AI integration.

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As the new school year approaches, Google enhances its AI offerings for students with the introduction of Guided Learning in the Gemini app. This feature focuses on comprehending topics through step-by-step instructions and interactive engagement, moving beyond simple answer provision. Users can activate Guided Learning from Gemini’s prompt bar, allowing for personalized assistance that combines visuals and clarifications. Powered by Google’s LearnLM, this tool is rooted in educational science.

Additionally, Google is offering select college students in the US, Japan, Indonesia, Korea, and Brazil a free year of its Google AI Pro plan, formerly known as Google One AI Premium. The plan includes the newly upgraded Gemini 2.5 Pro, Deep Research tools for creating custom study guides, and advanced video generation with Veo 3. Enhanced features across Google Workspace apps, increased storage, and a $1 billion commitment to AI education further solidify Google’s investment in student success.

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The article “Evaluation of Large Language Model-Driven AutoML in Data and Model Management from a Human-Centered Perspective” in Frontiers discusses the integration of large language models (LLMs) in automated machine learning (AutoML) processes, focusing on data and model management. It emphasizes a human-centered approach, assessing how LLMs can enhance user experience, decision-making, and collaboration in data management tasks. The study examines usability, interpretability, and accessibility of AutoML tools driven by LLMs, highlighting their potential to democratize machine learning for non-experts. Additionally, it evaluates the effectiveness of these models in automating data preprocessing, model selection, and hyperparameter tuning, improving efficiency and reducing human error. By prioritizing human interaction and understanding, the research aims to establish best practices for leveraging LLM-driven AutoML frameworks, ultimately advancing the field of data science and empowering practitioners across various industries. This evaluation underscores the significance of user experience in the evolution of intelligent automation technologies.

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