tech

February 23, 2026

Guide Labs debuts a new kind of interpretable LLM

The company open-sourced an 8 billion parameter LLM, Steerling-8B, trained with a new architecture designed to make its actions easily interpretable.

Guide Labs debuts a new kind of interpretable LLM

TL;DR

  • Guide Labs open-sourced Steerling-8B, an 8 billion parameter LLM with a new, interpretable architecture.
  • Every token produced by Steerling-8B can be traced back to its origins in the training data.
  • This architecture aims to make AI actions easily understandable, addressing issues like hallucinations and bias.
  • The interpretability is engineered into the model from the ground up, rather than requiring post-hoc analysis.
  • Steerling-8B retains emergent behaviors and discovered concepts, according to CEO Julius Adebayo.
  • The company believes this interpretable architecture is essential for consumer-facing LLMs, regulated industries, and scientific applications.
  • Guide Labs claims Steerling-8B achieves 90% of the capability of existing models with less training data.
  • The company plans to build a larger model and offer API and agentic access.

Continue reading the original article

Made withNostr