G7 SUV First to Feature Xpeng’s Turing AI Chip


  • Xpeng’s in-house developed Turing AI chip enhances the G7 SUV’s AI capabilities, moving away from Nvidia’s technology.
  • The G7 is set to debut as the first model featuring the Turing chip, showcasing advanced autonomous driving technologies.
  • CEO He Xiaopeng announced the G7 will be the first AI vehicle to possess Level 3 (L3) computing power.
  • The Turing chip achieves computing power of about 700 TOPS, equivalent to three Nvidia Orin X chips, supporting smart driving and cockpits.
  • Xpeng becomes the second Chinese EV startup after Nio to mass-produce its own autonomous driving chips.

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Gen AI in the New Tech Frontier


  • Dr. Brian Henz, Senior Science Advisor on AI, emphasizes the importance of understanding risks and ensuring transparency in implementing generative AI (Gen AI) within the Department of Homeland Security (DHS).

  • A key challenge identified is the explainability of AI models, which are often considered "black boxes," making it hard to trace decision-making processes and mitigate faulty results.

  • Best practices discussed include thorough dataset assessments, model validation in-house to prevent data leaks, and comprehensive evaluations of consequences before and after deployment.

  • DHS has already piloted various Gen AI applications, yielding insights into their benefits and limitations, such as improving maintenance predictions and summarizing law enforcement reports.

  • S&T seeks to ensure responsible AI usage, focusing on testing and evaluation, while anticipating future regulations to enhance public service and implement necessary safeguards.

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DOGE’s AI Program: An Error-Prone Approach to Veterans Affairs Contracts


  • The Trump administration utilized a software engineer with no healthcare experience to develop an AI tool, labeled "MUNCHABLE," for identifying non-essential VA contracts.
  • This AI code, built quickly and using outdated models, inaccurately inflated contract values and flagged over 2,000 contracts for potential cancellation.
  • Critics, including procurement experts, pointed out significant flaws in the AI’s decision-making process and raised concerns about relying on it for budget cuts in such a complex area.
  • While the VA claimed to have canceled nearly 600 contracts, details on which specific contracts were terminated remained vague and frustrating for congressional oversight.
  • The engineer admitted to flaws in the tool and was eventually terminated from DOGE after publicizing his work, raising questions about future use of the AI in VA decision-making.

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GOP Aims to Block State AI Regulations: Key Points


  • House Republicans introduced a tax bill clause banning states from regulating artificial intelligence (AI) for 10 years, surprising tech watchers and angering state governments.
  • The provision aims to provide uniformity for the AI industry, which advocates for minimal regulation as technology advances, but may struggle to pass in the Senate due to procedural challenges.
  • Senators from both parties express interest in AI regulation; however, meaningful progress on related legislation has been stalled in the divided Congress.
  • Critics argue the clause represents federal overreach and limits state-level protections, while attorneys general from various states oppose the bill, emphasizing the need for local solutions.
  • Industry leaders, including OpenAI’s CEO, suggest a federal approach to regulation but stress the importance of a "light touch" framework to foster innovation without burdensome regulations.

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DOGE Used Flawed AI to ‘Munch’ VA Contracts, Report Says


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  • A flawed AI tool developed by the Department of Government Efficiency led to the cancellation of hundreds of vital contracts within the Department of Veterans Affairs.
  • The AI’s limitations included vague definitions and insufficient understanding of complex tasks, resulting in critical contracts being mistakenly flagged.
  • Veteran affairs advocates raised concerns over the impact of contract cancellations on essential services, prompting the VA to revise the number of contracts affected.

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Final Stakeholder Consultation on Responsible AI – OpenGov Asia


  • The UNESCO Regional Office for South Asia, IndiaAI Mission, and Ikigai Law held the fifth stakeholder consultation on AI Readiness Assessment Methodology, engaging over 200 experts from various sectors to discuss ethical AI governance.
  • This consultation series, spanning multiple cities, aims to develop India-specific AI policy recommendations, identifying strengths and opportunities to promote responsible AI adoption.
  • Emphasizing an ‘ethics-by-design’ approach, Mr. Tim Curtis of UNESCO called for inclusive innovation, while Mr. Abhishek Singh highlighted initiatives promoting a safety-centric AI vision and workforce preparedness.
  • A panel discussion featured insights from leaders in policy and academia, focusing on regulatory frameworks, governance, and the role of industry in ensuring responsible AI development.
  • The AI RAM serves as a diagnostic tool for enhancing India’s AI governance, with a modular structure that adapts to local contexts, ensuring continuous dialogue and policy evolution.

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Beijing Academy Launches Open-Source ‘RoboBrain’ AI for Humanoid Robots


  • BAAI launched new open-source AI models to enhance robotics in China.
  • These models aim to overcome challenges in the robotics sector, such as limited capabilities and training data.
  • RoboBrain 2.0 is highlighted as the world’s most powerful open-source AI model for various robots, including humanoids.
  • The initiative supports China’s rapidly growing robotics industry, positioning BAAI as a key contributor.
  • BAAI is actively seeking collaboration with over 20 companies in the embodied intelligence sector to foster growth.

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W.Va. AG McCuskey: Smart to Delay AI Rules


  • A 10-year federal moratorium on state-level AI regulation is seen as beneficial for maintaining U.S. strategic advantages, according to West Virginia Attorney General John McCuskey.
  • McCuskey views AI as crucial for energy production, linking its potential to future U.S. economic growth.
  • The proposal aims to prevent inconsistencies in AI regulation across states; however, it faces opposition from a bipartisan group of attorneys general advocating for state sovereignty.
  • Advocates emphasize the need for a unified national approach to maximize AI opportunities while balancing local oversight and values in the long term.
  • McCuskey recognizes the importance of allowing states to regulate specific aspects of AI in the future to reflect local values and concerns.

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Track Top AI Image Generators and Vote for Your Favorite


  • DALL-E, OpenAI’s first text-to-image AI model, was released in January 2021, paving the way for various image-generating AI tools.
  • LMArena.ai, launched in beta, ranks AI models based on their ability to generate images from text and incorporates user voting to influence rankings.
  • The platform was initially a research initiative from UC Berkeley, now backed by notable investors like a16z and Sequoia Capital.
  • Anonymous voting via the Elo system helps mitigate bias, revealing model names only after votes are cast; OpenAI’s GPT Image 1 currently leads the rankings.
  • The rapid growth of generative AI tools since ChatGPT’s release has made it challenging for users to choose, with platforms like LMArena providing clarity and feedback opportunities for developers.

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AI Database Use Cases in the Public Sector – Intelligent CIO Africa


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