Summary

  • Advancements in AI tools have led to more complex large language models, such as OpenAI’s GPT, which can write code and synthesise research papers.
  • However, these models have largely been a “black box”, with even their creators unable to understand how they produce certain responses.
  • AI company, Anthropic, has developed a way to peer inside these models, showing that they plan ahead when writing poetry, and use the same internal blueprint for interpreting ideas across languages.
  • This research allows Anthropic to understand how these models work and also identifies any safety concerns that may arise.
  • The next step is to understand how models use the information and to address any problematic reasoning patterns in order to make these tools safer.

By Michael Nuñez

Original Article