为何 Anthropic 的递归自我改进并非 AGI
gary marcus 認為 anthropic 的「遞迴自我改進」只是更快的編碼工具，而非通用人工智能。這一區別至關重要，因為它表明當前的擴展方法單獨作用無法實現自主智能。
gary marpus challenges anthropic's recent claims that their systems are accelerating ai development via 'recursive self-improvement,' framing the capability as simply improved coding tools. while anthropic suggests this path could lead to ai autonomously building successors and loss of human control, marpus counters that recursive self-improvement and artificial general intelligence are distinct challenges. he contends that recursive self-improvement—helping humans write better code—has been achieved, but agi remains unattainable through this method alone. marpus concludes that while deep learning isn't hitting a wall, new ideas are required to bridge the gap to autonomous agi.