So much of knowledge/intelligence involves translating ideas between fields (domains). Those domains are walls the keep ideas siloed. But LLMs can help break those walls down and encourage humans to do more interdisciplinary thinking, which may lead to faster discoveries.
And note that I am implying that humans will make the breakthroughs, using LLMs as translation tools when appropriate, to help make connections. LLMs are strongest as translators of information that you provide. BYOD: Bring your own data!
Recent articles
- LLM 0.22, the annotated release notes - 17th February 2025
- Run LLMs on macOS using llm-mlx and Apple's MLX framework - 15th February 2025
- URL-addressable Pyodide Python environments - 13th February 2025