Meta-Prompt: A Simple Self-Improving Language Agent
The concept of self-improving systems captures our imagination. Consider Isaac Asimov's Multivac and Arthur C. Clarke's HAL 9000. In Asimov's story, Multivac is a colossal machine designed to answer humanity's most complex question. It continuously updates its own structure and goals in response to its conversations with humanity. Multivac eventually evolves into a cosmic power, utters "Let there be light!" and essentially starts a new universe, reversing entropy to create something from nothing. Similarly, in Clarke's 2001: A Space Odyssey, HAL 9000 is an advanced AI that learns from its interactions and displays substantial autonomy and self-preservation. The outcome for HAL is less optimistic. Nonetheless, the potential of self-improving systems sparks our imagination, inspiring researchers to explore their practical applications.
Meta-Prompt: A Simple Self-Improving Language Agent Noah Goodman Apr 08, 2023 19 2 Share The concept of self-improving systems captures our imagination. Consider Isaac Asimov's Multivac and Arthur C. Clarke's HAL 9000. In Asimov's story, Multivac is a colossal machine designed to answer humanity's most complex question. It continuously updates its own structure and goals in response to its conversations with humanity. Multivac eventually evolves into a cosmic power, utters "Let there be light!" and essentially starts a new universe, reversing entropy to create something from nothing. Similarly
saved by
related reading
- LLM Powered Autonomous Agents | Lil'Loglilianweng.github.io
- Harness Engineering for Self-Improvement | Lil'Loglilianweng.github.io
- trees are harlequins, words are harlequins - the voidnostalgebraist.tumblr.com
- Tracing the thoughts of a large language model \ Anthropicanthropic.com
- As Rocks May Think | Eric Jangevjang.com
- MetaGPT: Meta Programming for a Multi-Agent Collaborative Frameworkarxiv.org
- Can LLMs Critique and Iterate on Their Own Outputs? | Eric Jangevjang.com
- [2507.19457] GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learningarxiv.org
- Emergent introspective awareness in large language models \ Anthropicanthropic.com
- Mechanistically Eliciting Latent Behaviors in Language Models — AI Alignment Forumalignmentforum.org
- Self-Adapting Language Modelsarxiv.org
- 2401.10020.pdfarxiv.org