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Source channel @githubtrending · Post #15321 · Dec 9

#go#game_engine#game_engine_2d#game_engine_3d#game_engine_development#game_engine_framework#gameengine#go#golang Kaiju Engine is a fast, modern 2D/3D game engine written in Go and powered by Vulkan, designed for simplicity and high performance. It runs on Windows, Linux, Android, and is working on Mac support. Kaiju offers much faster rendering speeds and lower memory use than popular engines like Unity, making game development quicker and more efficient. It uses Go’s garbage collector to help prevent common programming errors, improving stability. You can write games directly in Go, and the engine supports local AI integration and a flexible UI system using HTML/CSS. Although the editor is still in development, the engine itself is production-ready, offering a powerful tool for developers who want speed and simplicity. https://github.com/KaijuEngine/kaiju

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AI & Law

@ai_and_law · Post #67 · 07/26/2023, 07:04 AM

Unveiling the Future of AI: OECD's Expert Group on AI Futures Hello, AI & Law community! The Organisation for Economic Co-operation and Development (OECD) has established a brand new Expert Group on AI Futures to tackle the challenges arising from the rapid advancements in artificial intelligence systems. This initiative aims to provide valuable insights into the future of AI, empowering governments to develop proactive and effective AI policies. The group is intended to provide insights on: 1️⃣ key milestones for possible future developments in advanced AI systems; 2️⃣ various risks associated with each milestone; 3️⃣ best practices in AI safety; 4️⃣ scenarios about AI’s future; and 5️⃣ suggested policy approaches to mitigate future risks while harnessing the benefits of AI. #AI#AIInsights#FutureofAI#AIpolicies#OECD

AI & Law

@ai_and_law · Post #163 · 11/13/2023, 08:04 AM

NIST Launches Consortium to Shape US AI Policies Hello, everyone! The National Institute of Standards and Technology (NIST) has initiated a consortium to address AI development and deployment challenges. The collaboration seeks to establish policies and measurements that prioritize human-centric AI safety and governance in the United States. The consortium will work on various aspects, including creating measurement and benchmarking tools, policy recommendations, red-teaming efforts, psychoanalysis, and environmental analysis. This move comes in response to an executive order issued by US President Joseph Biden, which introduced six new standards for AI safety and security. While other regions have been more proactive in regulating AI systems, the US is catching up. The AI consortium represents a significant step in shaping the future of AI policies in the United States through collaboration between government bodies, non-profits, universities, and tech companies. #NIST#AIConsortium#AIPolicies#USAIRegulation