🔬

AGI架构蓝图

设计智能的未来!

🔬 立即试用

什么是AGI?

为什么重要?

🎯 模拟器提示

📚 术语表

AGI
通用人工智能 - 在所有领域具有人类水平能力的人工智能
ASI
人工超级智能——人工智能远远超越人类智能
ANI
狭义人工智能 - 擅长特定任务的人工智能(今天的人工智能)
Alignment
确保人工智能做人类真正想要的事情的挑战
Singularity
人工智能超越人类智能并递归改进的假设点
IntelligenceExplosion
快速、递归的人工智能自我改进
RLHF
根据人类反馈进行强化学习 - 根据人类偏好训练人工智能
ConstitutionalAI
训练人工智能遵循一系列原则
Interpretability
了解 AI 模型的内部工作原理
Corrigibility
AI允许自身被纠正的特性
InstrumentalConvergence
不同目标导致相似子目标的倾向
OrthogonalityThesis
智力和目标是独立的
FLOPS
每秒浮点运算 - 计算能力的衡量标准

🎓 学习资源

💬 给学习者的话

{'encouragement': "The future of AI is not yet written. By understanding AGI, you can help shape its development. This is humanity's most important challenge.", 'reminder': "You don't need a PhD to think about AI safety. The best ideas can come from anywhere. Your perspective matters.", 'action': 'Learn, discuss, question. Join communities working on AI safety. Every voice helps ensure AI benefits everyone.', 'dream': 'A researcher in Kenya might discover a key alignment insight. A student in Brazil might ask the question that prevents catastrophe. This work belongs to all of humanity.', 'wiaVision': 'WIA Pin Code believes the most important knowledge should be free. AGI will affect everyone - everyone deserves to understand it.'}

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