The Cloud Security Alliance (CSA) has unveiled Valid-AI-ted, an AI-driven tool designed to automate the validation of cloud service providers’ (CSPs) security assessments. Launched at the CSA’s Cloud Trust Summit, this tool enhances the Security, Trust, Assurance and Risk (STAR) program by providing rapid, objective evaluations of STAR Level 1 self-assessments using large language models. Valid-AI-ted ensures consistent quality in assessments, offering detailed scoring based on the CSA’s Cloud Controls Matrix (CCM). Providers who achieve the necessary benchmarks receive a “Valid-AI-ted” badge, which boosts their visibility on the STAR Registry. Available for free to CSA members, the tool also allows non-members limited assessments for a fee. The initiative aims to improve transparency and trust in cloud security, facilitate compliance, and support organizations in progressing to more rigorous STAR Level 2 audits. The CSA also permits third-party integration of the scoring system to further standardize cloud security evaluations.
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AI-Powered Cloud Security Auditing Tool Enhances Validation of Providers’ Security Assessments — THE Journal
Judge Dismisses Raw Story and AlterNet’s Attempt to Revive OpenAI Lawsuit
A Manhattan federal judge has rejected a request from AlterNet and Raw Story to revisit the dismissal of their lawsuit against OpenAI. The lawsuit accused OpenAI of removing author and copyright details from material used to train its AI model, ChatGPT. The judge noted that the plaintiffs have the option to appeal the ruling to the Second Circuit Court. Law360, a resource for legal news, emphasizes its extensive coverage on various legal topics and trends, offering subscribers access to daily articles, newsletters, expert analyses, and more. Subscribers also benefit from a mobile app, advanced search capabilities, and real-time alerts. Law360 invites new users to experience its services through a free 7-day trial.
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Girls 🤎: AI-Powered Sex Chat App – AGENCE EUROPE
The “Girls 🤎 AI app for sex chat” is designed for individuals seeking intimate conversations and connections. Utilizing artificial intelligence, the app allows users to engage in private chats with virtual personalities tailored to their preferences. It emphasizes user privacy and security, ensuring that conversations remain confidential. The app aims to create a safe, judgment-free space where users can explore their desires and fantasies. Features may include customizable avatars and various chat modes to enhance the interaction experience. As the landscape of online communication evolves, services like this cater to an increasing demand for accessible, engaging platforms for adult discussions. Overall, the app represents a fusion of technology and interpersonal communication, appealing to users looking for a novel way to connect on a deeper level.
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Maximize Your Productivity with Gemini’s New ‘Scheduled Actions’: A Guide and Top Recommendations – Lifehacker
Gemini’s new ‘Scheduled Actions’ feature allows users to automate tasks for better productivity. By scheduling specific actions, users can streamline their workflows and optimize time management. To use this feature, navigate to the settings and select the desired actions to be scheduled. It’s possible to set reminders, create custom alerts, or establish recurring tasks.
Some recommended actions include scheduling regular file backups, setting reminders for important deadlines, and automating email replies. Additionally, users can integrate these scheduled actions with other productivity tools for enhanced efficiency. Overall, ‘Scheduled Actions’ empowers users to stay organized, reduces manual effort, and ensures that important tasks are not overlooked. Embracing this feature can significantly improve daily routines and project management.
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Enhancing Tropical Cyclone Predictions Through AI Innovation
Google DeepMind and Google Research are unveiling Weather Lab, a collaborative platform for experimental cyclone predictions, developed in partnership with the U.S. National Hurricane Center. Tropical cyclones pose severe risks to lives and economies, having caused $1.4 trillion in damages over the last 50 years. The new AI-driven cyclone model, utilizing stochastic neural networks, predicts cyclone formation, track, intensity, and size up to 15 days in advance by generating 50 potential scenarios. Initial evaluations show its accuracy in track prediction surpasses leading physics-based models, and its assessment of cyclone intensity is also commendable. Weather Lab offers both live and historical cyclone data to enhance preparedness and early evacuations by providing a comprehensive view for emergency services and researchers. Despite its innovative capabilities, users are reminded that Weather Lab’s forecasts are experimental and should not replace official warnings from national meteorological agencies. This tool aims to improve disaster-response strategies significantly.
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Turkey Launches Investigation into Google’s AI Advertising Practices
Today’s ESG updates highlight significant regulatory and strategic developments. Turkey’s antitrust authority is investigating Google’s AI ad tool, Performance Max, for potentially harming advertisers and restricting competition in the digital advertising market. Meanwhile, the UK’s Groceries Code Adjudicator is probing Amazon over supplier complaints regarding delayed payments and unfair deductions possibly breaching the Groceries Code. In international relations, Russia has condemned discussions of regime change in Iran, labeling them “unacceptable,” as tensions rise with Israel’s military actions. On a positive note, Canada’s La Caisse has pledged $400 billion towards climate action from 2025-2030, aiming to support global net-zero targets and decarbonize its portfolio significantly. Featured this week is Klimado, a platform designed to help users navigate environmental changes, underscoring the growing importance of accessible ESG tools in the climate awareness landscape.
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Uncovering the Critical Performance Bottleneck in RAG: How Your Chunking Strategy Can Make or Break Your AI System | Utkarsh Patel | June 2025
Creating an effective Retrieval-Augmented Generation (RAG) system requires careful consideration of document chunking. Despite having state-of-the-art tools, the way documents are split into retrievable units can significantly impact the accuracy and coherence of responses. Traditional fixed-size chunking often disrupts contextual flow, leading to incomplete or incorrect answers. More advanced methods like recursive and semantic chunking aim to preserve meaningful context, improving retrieval performance by 15-25%. The emerging approach of agentic chunking uses large language models to make context-aware segmentation decisions, while multimodal chunking addresses challenges posed by diverse document types through specialized processing. Microsoft’s GraphRAG offers a relationship-aware strategy that enhances data storage efficiency and retrieval speed. Continuous monitoring and domain-specific strategies are crucial for optimizing chunking, as successful implementations can see substantial improvements in accuracy and user experience. Ultimately, the effectiveness of a RAG system hinges on intelligent chunking strategies that align with content and user needs.
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Unlocking Creativity: A Guide to Getting Started with Midjourney’s New AI Video Generator
Midjourney, a popular AI image platform, has launched a new AI video generator called the V1 Video Model, allowing users to create 5-second videos from images they produce or upload. Founder David Holz announced the service in a blog post, highlighting its ease of use and affordability at $10 per month for 3.3 hours of fast GPU time. This new offering positions Midjourney competitively against platforms like OpenAI’s Sora and Google’s Flow, which have higher subscription costs. The V1 model lets users animate images with options for motion settings and extend videos by 4 seconds up to four times, resulting in a maximum length of 21 seconds. However, the generator has drawn scrutiny, as Midjourney is facing a lawsuit from Disney and Universal for alleged copyright infringement related to the use of copyrighted characters. Despite this, the company continues to monitor and adjust pricing based on user engagement.
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Insights Gained from Allowing AI to Create a Landing Page Design
The author explores using AI to streamline the process of creating a landing page, overcoming challenges faced when collaborating with developers without a UX designer. Initially relying on AI tools like Claude for audience insights and ChatGPT for copywriting, they created a structured approach that transformed rough ideas into a functional HTML layout, referred to as “vibe coding.” This method allowed for real-time adjustments and significantly reduced the need for back-and-forth communication. While successful, the author encountered limitations when dealing with layout bugs that required human intervention to resolve. Overall, the experiment demonstrated AI’s capacity to enhance the creative process, enabling quicker iterations and more strategic thinking. However, the final refinements still required the author’s touch. They recommend marketers embrace vibe coding by clearly articulating their desired outcomes, recognizing AI’s strengths and weaknesses, and remaining open to iterative learning for future projects.
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You Sound Just Like ChatGPT: A Deep Dive | The Verge
The rise of AI, particularly through tools like ChatGPT, is noticeably influencing language use in both academic and casual contexts. Researchers at the Max Planck Institute document a shift in vocabulary, with terms favored by AI, such as “delve” and “adept,” becoming more prevalent. This change extends to tone and communication style, promoting structured responses at the cost of emotional nuances. While AI enhances communication via features like smart replies, it simultaneously breeds suspicion about authenticity, leading to a loss of trust in interactions. Critics, including Cornell University scholars, assert that this trend undermines essential human signals of authenticity, effort, and humor. Additionally, studies indicate that AI tends to flatten dialectal diversity, favoring Standard American English over others, which can marginalize non-standard speakers. Moving forward, the challenge is to either embrace the changes brought by AI or resist further homogenization of expression, ensuring that communication remains personally resonant and human.
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