Dunno, it's probably less energy efficient than a human brain, but being able to turn electricity into intelligence is pretty amazing. RAM and power generation are engineering problems to be solved for civilization to benefit from this.
It actually can with the right wrapper. I built an open source loop driver that runs Claude Code CLI autonomously with --dangerously-skip-permissions. It handles session continuity (--resume), budget enforcement, stagnation detection (two-strike system if turns stay low), and auto model fallback (Opus -> Sonnet on consecutive timeouts).
The key is streaming NDJSON output to track cost per iteration and detect completion markers. The human stays in control by editing CLAUDE.md between runs to steer the project.
Anyone paying attention has known that demand for all type of compute than can run LLMs (i.e. GPUs, TPUs, hell even CPUs) was about to blow up, and will remain extremely large for years to come.
It's just HN that's full of "I hate AI" or wrong contrarian types who refuse to acknowledge this. They will fail to reap what they didn't sow and will starve in this brave new world.
Agreed, agent scaling and orchestration indicates that demand for compute is going to blow up, if it hasn't already. The rationale for building all those datacenters they can't build fast enough is finally making sense.
Though I do hope the generated code will end up being better than what we have right now. It mustn't get much worse. Can't afford all that RAM.