Ever since I started developing, learning, and working with AI, there’s always been a component we in the tech world refer to as a black box—an element that can be, to some extent, unpredictable.
Chances are, many of us have spent time analyzing outputs, tweaking training data, and digging into attention patterns. Still, a large part of the AI’s decision-making process has remained hidden.
At least, that was the case until a few weeks ago.
In a recent study titled “Tracing Thoughts in Language Models,” researchers at Anthropic claim they’ve caught a glimpse inside the mind of their AI, Claude, and observed it thinking. Using a technique they compare to an “AI microscope,” they were able to trace Claude’s internal reasoning steps with an unprecedented level of detail.
The findings are both fascinating and a bit unsettling.
Claude appears to break tasks down into understandable subproblems, plan its responses several words ahead, and even generate false reasoning when i…
