Autoresearch: The feedback loop behind self-improving agents
Latent Space Richard MacManus ● Covered by 2 sources
Introspection, a startup founded by former xAI employees, is building infrastructure for "autoresearch" systems where agents maintain and improve themselves through feedback loops rather than requiring constant human intervention. The company proposes three patterns: treating the feedback loop itself as the product, using "agent recipes" to capture how systems evolve over time, and optimizing for systems that become both better and cheaper as they operate. Companies deploying these self-improving agents will need to establish reliable feedback signals, control costs, and gradually shift human involvement from direct decisions to providing training data and oversight.
Why it matters
Introspection co-founder Roland Gavrilescu explains autoresearch, agent “recipes,” self-improving loops, and why humans remain central to the software factory.
