"If this seems far-fetched, consider how AlphaGo Zeroan AI system developed at DeepMind in 2017 to play the ancient Chinese board game Gowas built. Using no data from human games, AlphaGo Zero played itself millions of times, achieving in days an improvement that would have taken a human a lifetime and that allowed it to defeat the previous versions of AlphaGo that had already beaten the world's best human players."
"Though the runaway systems Good described aren't here yet, self-improving computers areat least in narrow domains. AI is already running code on itself. OpenAI's Codex and Anthropic's Claude Code can work independently for an hour or more writing new code or updating existing code. Using Codex recently, I thumbed a prompt into my phone while on a walk, and it made a working website before I reached home. In the hands of skilled coders, such"
The concept of an ultraintelligent machine envisions a system capable of rewriting its own code and triggering rapid, successive improvements. Historical theory suggests such a machine could spark an intelligence explosion by iterating into ever-more capable versions of itself. Practical examples show rapid, narrow-domain self-improvement: AlphaGo Zero trained by self-play to surpass prior versions in days. Contemporary code-generation models can autonomously produce and modify software for extended periods, enabling quick creation of functional applications, though broad, autonomous self-improvement across multiple cognitive domains has not yet been realized.
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