AI NEWS : Meta CANCELS New AI Model Release, Q-STAR BANNED, LLAMA 3 Release Date, and more

1. Meta suspends AI model release in the EU due to regulatory concerns.

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Meta decides not to offer future multimodal AI models in the EU due to regulatory uncertainties, setting up a clash with EU regulators.

• EU's strict regulations prompt Meta to withhold AI models from European customers.
• Similar actions by Apple and potential impact on other tech companies like Google and OpenAI are noted.
• Regulatory challenges in the EU lead to tech giants withholding advanced products from European markets.

2. Meta plans to release a significant AI model, Llama 3, with multimodal capabilities.

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Meta intends to launch a large-scale Llama 3 model on July 23, featuring 405 billion parameters for enhanced performance in text and image generation.

• The Llama 3 model is expected to revolutionize open-source AI models.
• The model's multimodal abilities will enable it to understand and generate images and text.
• Comparison with existing state-of-the-art systems like Gemini Pro 1.5 showcases its competitive edge.

3. Potential game-changing AI research introduces efficient expert retrieval for lifelong learning.

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A novel layer design, Pier Parameter Efficient Expert Retrieval, enables scalable retrieval from a vast pool of tiny experts, overcoming computational challenges and enabling lifelong learning.

• The research enhances performance and memory efficiency in AI models.
• The method allows for continuous learning without catastrophic forgetting, advancing the field of AI research.
• Scalability to millions of experts signifies a significant breakthrough in AI architecture.

4. AI regulation poses challenges with potential classification of math areas as state secrets.

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Discussions on AI regulation reveal the possibility of classifying problematic math areas as state secrets, raising concerns about the control and implications of AI technology.

• The prospect of classifying math areas for AI regulation sparks debates on the extent of control over technological advancements.
• Comparisons to past classification of physics areas as state secrets highlight the potential impact on AI research and development.
• Concerns arise regarding the implications of restricting access to critical AI knowledge.

5. AI model decryption poses severe societal risks.

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Decryption by advanced AI could compromise encryption systems, leading to widespread security breaches in banks, websites, and passwords.

• Potential consequences include societal breakdown and severe ramifications.
• Nationalization of labs may be necessary to prevent technology misuse.
• Historical examples like classified nuclear research highlight the importance of AI research control.

6. Control measures essential for superhuman AI development.

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As AI advances towards AGI, national security involvement is crucial to prevent uncontrolled superintelligence development.

• Government intervention necessary to regulate superhuman AI systems.
• Comparisons to historical nuclear technology control for safety reasons.
• Ensuring responsible development to avoid potential catastrophic outcomes.

7. AI-generated misinformation risks escalate with advanced tools.

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Tools like Samsung's AI sketch to draw can be exploited to create realistic misinformation, posing challenges in distinguishing real from AI-generated content.

• Potential misuse in generating misleading images and videos.
• Implications for social media authenticity and trust.
• Need for robust verification mechanisms to combat AI-generated misinformation.