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A look at autonomous AI agents like Auto-GPT and BabyAGI, which perform multistep tasks by iteratively taking output from GPT-4 and feeding it back into itself

Ars Technica Benj Edwards

Context & Ripple Effects

Weeks after GPT-4's launch — praised by Microsoft researchers as showing early AGI signs but still prone to hallucination per its own capability review — hobbyist projects like Auto-GPT and BabyAGI turned the model into something more than a chatbot: a loop that plans, acts, critiques its own output, and repeats. The technique is crude orchestration, not new intelligence, but it demonstrated that multistep autonomy was reachable with the existing API.

First-order effects

  • Early adopters running these loops hit compounding errors: each iteration feeds GPT-4 output back as input, so hallucinated steps propagate rather than get caught, capping reliability on real tasks.
  • Per-task costs scale with loop length — every self-critique cycle is another paid GPT-4 call — pushing experimentation toward short, bounded workflows.

Second-order effects

Third-order effects

  • If the orchestration layer migrates from open-source scripts into the model vendor's own stack — as it did with ChatGPT Agent's full-computer control for paid users — the agent market consolidates around whoever owns both the model and the execution environment, with governance and permissions becoming the differentiator.

The trend: Autonomous agents are migrating from community-built loops around a hosted model into vendor-owned products, shifting control of task execution from users to platform operators.

Discussion

  • @trengriffin Tren Griffin on x
    “We ran Auto-GPT (a Python script) locally on a Windows machine. When you start it, it asks for a name for your AI agent, a description of its role, and a list of five goals it attempts to fulfill.” https://arstechnica.com/...
  • @sharongoldman Sharon Goldman on x
    Thought the pace of AI development has sped up since ChatGPT? Well, buckle up. Thanks to the rise of AI agents like Auto-GPT, BabyAGI and AgentGPT over the past few weeks, the AI race is just getting faster. And, many experts say, more concerning. https://venturebeat.com/...
  • @brianroemmele Brian Roemmele on x
    The rise of user abled AI feedback loops is a massive leap from just Prompting AI. Auto-GPT and BabyAGI use ChatGPT. The real power is when you have local AI running in a continuous a feedback loop on any tasks you want. This means free logarithmic power. https://twitter.com/...
  • @guygadboisguyg1 @guygadboisguyg1 on x
    Oh goodie...the fucking thing is feeding on itself. https://twitter.com/...
  • @carnage4life Dare Obasanjo on x
    AI really moves fast these days. I've said prompt engineering is a temporary phenomenon as automation and simplification will make it irrelevant. AutoGPT shows how we'll get there. Instead of generating complex prompts just ask ChatGPT to do it instead. https://github.com/...