Anthropic의 재귀적 자기 개선이 AGI가 아닌 이유
Gary Marcus는 Anthropic의 '재귀적 자기 개선'이 AGI가 아니라 단지 더 빠른 코딩일 뿐이라고 주장합니다. 이 구분이 중요한 이유는, 현재의 스케일링 방법만으로는 자율 지능에 도달할 수 없다는 점을 시사하기 때문입니다.
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.