Anthropic Adds Shared Memory to LLMs for Better Reasoning
Summary
- Anthropic released a research paper describing a new architecture for large language models.
- The key idea is a global workspace—a shared memory area that all model parts can access.
- This workspace lets separate reasoning modules read and write intermediate results, improving step‑by‑step problem solving.
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