📄 中文摘要
在对比基于变换器的人工智能与人脑的过程中，AI研究者Subutai Ahmad和Nicolò Fusi与Doug Burger探讨了持续学习、效率等关键问题。研究指出，尽管当前的AI模型在某些方面表现出色，但与人类智能的复杂性相比，仍存在显著差距。研究者们分析了机器在学习和适应新信息方面的能力，以及如何提高其效率，以便更接近人类的认知能力。最终，文章提出了对未来AI发展的展望，强调了在实现真正智能机器的过程中所面临的挑战与机遇。
机器会变得智能吗？
出处: Will machines ever be intelligent?
发布: 2026年3月23日
📄 English Summary
Will machines ever be intelligent?
The discussion compares transformer-based AI systems with the human brain, focusing on key aspects such as continual learning and efficiency. AI researchers Subutai Ahmad and Nicolò Fusi, alongside Doug Burger, highlight that while current AI models excel in specific tasks, they still fall short of the complexity inherent in human intelligence. The analysis delves into the capabilities of machines in learning and adapting to new information, as well as strategies to enhance their efficiency to approach human cognitive abilities. Ultimately, the piece presents a forward-looking perspective on the development of AI, emphasizing the challenges and opportunities in achieving truly intelligent machines.