LLMs Are Powerful — But Unreliable for Math Large Language Models (LLMs) have unlocked a new era of productivity: summarizing documents, generating code, writing policy memos, and answering complex questions with ease. But when it comes to mathematical reliability, their probabilistic nature becomes a liability. A new study by IBM Research — LLM Output Drift:…
“LLM math is close enough. And it’s getting better!” I hear this a lot when developers (or investors) talk about LLM-generated calculations. And I get it. If all you need is a quick, “general ballpark” answer, close enough feels fine. Use it, iterate, do the hard math later. Two problems with that: 1. In regulated…
Let’s be clear: the tech is so cool! I ask a question and it gives me an answer using a wealth of knowledge from all over the web. It synthesizes information that would have taken forever to track down, helps me organize random streams of thought, and has helped me write code I never could…