Making Sense Of What’s Really Going On Inside AI By Using Newly Devised Natural Language Autoencoders
Key takeaways
- AIMaking Sense Of What’s Really Going On Inside AI By Using Newly Devised Natural Language Autoencoders By Lance Eliot,
- Forbes contributors publish independent expert analyses and insights.
- The approach was developed by Anthropic, famed makers of Claude.
AIMaking Sense Of What’s Really Going On Inside AI By Using Newly Devised Natural Language Autoencoders By Lance Eliot,
Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant.Follow Author May 12, 2026, 03:15am EDT--:-- / --:--This voice experience is generated by AI. Learn more.This voice experience is generated by AI. Learn more.Anthropic publishes their new approach to AI interpretation, known as NLA.getty In today’s column, I examine a newly published approach to interpreting what is occurring inside generative AI and large language models (LLMs).
The approach was developed by Anthropic, famed makers of Claude. They have coined the new method as NLA (natural language autoencoders). This approach is one of many that are being explored by AI researchers and AI practitioners worldwide. The hope is to find a suitable means to explain how the numbers and numeric calculations internal to an LLM are capable of representing human concepts and human logic.