Latest Analysis! Unveiling the “AI Biology” Behind Anthropic’s Claude: Decoding Internal Information Processing Mechanisms

Summary: What’s Happening Inside Claude?

On April 1, 2025, Anthropic released a groundbreaking new report detailing the internal structure of their advanced AI model “Claude.” This report provides unprecedented insights into the inner workings of large language models that have previously been considered black boxes.

Simple Overview: What is “AI Biology”?

According to Anthropic’s new findings, Claude organizes information internally in ways similar to the human brain:

• There are “specialized modules” responsible for specific information processing
• These modules are connected through “networks” through which information flows
• This structure is being analyzed in a way similar to “AI biology”

This essentially represents the first time we’ve been able to capture images of what’s happening inside large language models (LLMs) that were previously considered black boxes.

Peering into Claude’s Internal Structure

Attribution Graphs: Visualizing Information Flow

At the center of Anthropic’s methodology is what they call the “Attribution Graph.” This technique visualizes which internal components are responsible for which information when Claude generates language. Intuitively, it’s like seeing “who is thinking what” within the computational process.

This allows researchers to analyze:

• Why the model chose particular answers
• Which parts might have made errors

Is Claude’s “Self” Beginning to Emerge?

Particularly fascinating is the discovery that some modules appear to “understand their own responsibilities” internally. While this doesn’t yet constitute “consciousness” at a high level, the model demonstrates abilities to:

• Partition information
• Track its own tasks

These capabilities suggest we’re entering an era where AI can monitor its internal states and take appropriate actions accordingly.

My Perspective: Claude is Approaching the Most “Understandable” AI

Looking at Anthropic’s announcement, I clearly sense the beginning of a new era. Relatively speaking, previous LLMs were often thought of as “able to provide answers but with scary internals.” However, Claude’s report has opened a path where humans can analyze:

• What’s working well
• What’s problematic
• How improvements should be made

This marks the end of an era where we simply received “magical answers” without understanding how they were derived.

Conclusion: Creating the Future Together with “Understandable” AI

Claude’s “AI biology” demonstrates not just technical brilliance, but an evolution that emphasizes coexistence with humans. With such AI systems, we can create a stable society together. With these expectations in mind, I look forward to continuing to observe Claude’s evolution.