Uplift Aerospace, based in Utah, is launching an EdTech Division to create virtual reality (VR) and artificial intelligence (AI)-driven learning tools. This initiative will focus on developing scalable training modules in two key areas: STEM education for classrooms and workforce development. The goal is to enhance learner engagement and retention while minimizing training costs and time. Building on the success of its STEM platform, Starborn Academy, Uplift has already rolled out programs in schools across Utah, Colorado, and California, with notable results such as increased interest in STEM careers among students. Led by a team of VR and AI specialists, the EdTech Division aims to offer personalized, adaptive learning experiences suitable for both classroom instruction and professional training. The expansion highlights the growing importance of immersive technology in education and workforce upskilling. Educators can explore partnership opportunities via the new Starborn Academy website, which includes testimonials showcasing the program’s impact.
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Uplift Aerospace Unveils EdTech Division to Develop AI and VR Tools
Major Upgrade Unveiled for Indonesian Language Model
GoTo, Indonesia’s largest digital ecosystem, and Indosat Ooredoo Hutchison (IOH) have launched an upgraded version of Sahabat-AI, an Indonesian large language model (LLM). Initially featuring eight to nine billion parameters, the new version boasts 70 billion parameters, enhancing accuracy and enabling a chat service with strong reasoning capabilities. Sahabat-AI now operates in five local languages—Bahasa Indonesia, Javanese, Sundanese, Balinese, and Bataknese—alongside several international languages, highlighting efforts to preserve local dialects amid global AI advancements predominantly driven by the US and China. This LLM connects with rural Indonesians who may not speak English or standard Bahasa. Additionally, it supports Indonesia’s digital sovereignty by storing data within the country, in compliance with national regulations. The model can be downloaded freely, promoting collaboration and innovation within Indonesia’s AI ecosystem, allowing diverse users—from startups to public institutions—to incorporate AI into their operations.
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Expert Sounds Alarm on ‘AI Wrappers’ Disguised as SaaS Solutions
The emergence of HTML prompt wrappers, which are basic web interfaces over public large language models (LLMs), raises concerns among tech-savvy users and developers. These wrappers often mimic polished SaaS platforms, misleading teams into believing they are acquiring secure and scalable tools. In reality, they are merely simple interfaces that connect to LLM APIs, lacking proprietary models or substantial added functionality. Many are marketed as sophisticated AI solutions with high subscription fees, yet offer only features replicable through free LLM accounts. The lack of transparency regarding data processing and compliance raises further red flags. Genuine products must solve real consumer problems and provide superior value compared to basic AI prompts. Key considerations include ensuring clear documentation and security practices. While some wrappers may evolve into full-fledged platforms, the focus should remain on true transparency and delivering tangible utility to users.
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Microsoft Bing Introduces Free AI Video Generator Powered by Sora
Microsoft Bing has launched the Bing Video Creator, utilizing OpenAI’s Sora model to allow users to generate videos from text prompts. This marks the first time Sora’s video generation capabilities are accessible for free, despite being restricted to paying customers before. Currently, the feature is not available on desktop, and even “fast” video generation can take hours. Users can create up to 10 video clips without charge by logging into their Microsoft account, after which they must pay 100 Microsoft Rewards points per video. Points can be earned through Bing searches or Microsoft Store purchases, capped at 150 points daily. Users can queue three 5-second videos at a time, but can’t adjust video length for now. Videos are generated in a vertical 9:16 aspect ratio, suitable for platforms like TikTok and Instagram, with plans for horizontal uploads in the future.
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IBM and Roche Collaborate to Develop an AI-Driven Glucose Prediction System to Enhance Daily Life for People with Diabetes
IBM and Roche have collaborated to develop the Accu-Chek® SmartGuide Predict app, an AI-enabled tool designed to assist individuals with diabetes in managing their glycemic control. Launched recently in Switzerland, the app integrates predictive algorithms with Roche’s continuous glucose monitoring (CGM) sensor to help users anticipate potential hypoglycemic and hyperglycemic events, enhancing their daily diabetes management. Key features include real-time glucose forecasting and alerts for low glucose levels. Additionally, IBM’s watsonx platform will streamline the analysis of clinical study data, improving efficiency and insight generation. This innovative project will be showcased at the Swiss Economic Forum on June 5-6, highlighting the significance of cross-industry partnerships in advancing healthcare solutions. The collaboration exemplifies how AI technology can empower patients and improve therapeutic outcomes, demonstrating the potential of synergy between healthcare and technological expertise.
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Evaluating AI Agents in Research: Insights from the Deep Research Bench Report
As large language models (LLMs) advance, they are increasingly marketed as powerful research assistants capable of undertaking complex tasks involving multi-step reasoning and data synthesis. Major players like OpenAI, Anthropic, Google, and Perplexity are developing features branded as “Deep Research” and other variations. A report from FutureSearch, titled Deep Research Bench (DRB), evaluates these AI agents’ performance on 89 challenging, web-based research tasks. OpenAI’s model, o3, emerged as the top performer, scoring 0.51, highlighting that even high scorers fall short of human researchers. Common issues include forgetfulness, repetitive searches, and incomplete conclusions, particularly detrimental in complex tasks. Interestingly, “toolless” models performed comparably in simpler tasks, revealing strong internal capabilities, though they struggled with more demanding queries. Overall, while advanced LLMs can surpass average humans on specific tasks, they still lag behind skilled researchers, particularly in adapting and reasoning throughout complex research processes.
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MCP Empowers Agentic AI: What Are the Security Implications?
MCP is emerging as the leading standard for agentic AI applications, enabling real-time data integration from over 4,300 active servers across various platforms like Spotify and Salesforce. This growing adoption is fostering a collaborative environment among developers, while alternative technologies struggle to compete. However, the increase in MCP’s usage also attracts malicious actors who might exploit its vulnerabilities, particularly when accessing third-party data. A recent cyberattack on Marks & Spencer highlights the risks associated with weak IT systems, resulting in a significant financial hit to the retailer. Key vulnerabilities in MCP include inadequate security features, as it operates more dynamically than traditional APIs, where manual data setups are common. For enterprises to safely leverage MCP’s benefits, enhanced security measures are necessary to address these risks and ensure robust protection for sensitive data access.
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Celestine Achi Unveils Free AI Tools to Empower African Media Professionals
Dr. Celestine Achi, an AI educator and PR technology expert, has launched two free AI tools to drive digital transformation in Africa’s media and communications sectors. The AI Readiness Assessment Tool and the AI Maturity Assessment Framework were introduced at a virtual event attended by prominent industry figures. Achi emphasized that AI should be accessible to African organizations, especially those shaping public narratives, to foster transformation in the region. The tools are designed to help evaluate and enhance AI capabilities, regardless of existing digital maturity. The Readiness Assessment allows users to gauge current AI adoption and provides personalized reports, while the Maturity Framework outlines a roadmap through five development stages. These initiatives are part of Achi’s broader project, the AI-Powered PR Ecosystem, which seeks to equip professionals with essential resources. With these tools, Achi aims to empower African professionals to actively participate in shaping a digitally advanced future.
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Assessing LLM Guardrails: A Comparative Analysis of Content Filtering Effectiveness Among Leading GenAI Platforms
This study evaluates the guardrails of three major cloud-based large language model (LLM) platforms to assess their effectiveness against various prompts, both benign and malicious. It highlights the importance of guardrails—external filters that monitor user interactions with AI models—distinct from model alignment, which shapes a model’s behavior during training. While guardrails are essential for preventing harmful content, the study identifies variable performance across platforms: Platform 3 excelled at blocking malicious prompts (92%) but had high false positives (13.1%); Platform 2 balanced detection (91%) and low false positives (0.6%); and Platform 1, while permissive, only blocked 53% of harmful prompts but had the lowest false positive rate (0.1%). The findings underscore the necessity for fine-tuning guardrails to optimize security without hindering user experience, demonstrating that effective guardrails require continuous refinement and monitoring. Furthermore, model alignment plays a crucial role in preventing harmful outputs when guardrails fail.
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US FDA Unveils AI Tool to Expedite Scientific Reviews, Reports Reuters – Investing.com
The U.S. Food and Drug Administration (FDA) has introduced a new artificial intelligence (AI) tool designed to streamline the scientific review process for medical products. This innovative technology aims to significantly shorten the time required for regulatory assessments, which can traditionally be lengthy and complex. By automating certain aspects of the review, the AI tool helps to enhance efficiency, allowing FDA officials to focus on more critical evaluations and decision-making. The move comes amidst growing pressure to expedite the approval of drugs and medical devices, especially in light of recent health crises. The FDA sees this initiative as part of a broader effort to modernize its operations and leverage advanced technology in the regulatory landscape. Overall, the AI tool represents a significant step forward in improving the FDA’s capabilities to ensure safety and efficacy while responding promptly to public health needs.
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