I heard Yann LeCunn recently say, and I am paraphrasing, that for AI to be truly meaningful, it must have the ability to predict outcomes of its actions and adjust itself accordingly. Use of AI for reasoning - work with us to brainstorm, build on ideas - is one of the most meaningful uses of AI. However, often times, AI ends up becoming an echo chamber without us realizing it. It can make your noise sound like music. You may end up loving your voice, singing louder and generating more noise, until the audience tells you they can't bear it.
Working with AI to test and build ideas can often take you too far down wrong paths. Most of these LLMs, if not all, are very good at offering reinforcement to your thought process, adding layers of rationalization, generating confident and seemingly valid grounds for various elements of solution options that you piece together, and then shaping for you the artifacts that you feel proud for having created - and your LLM doesn’t mince words in making you feel so. And yet, if you started with some wrong premise or assumption that was central to the whole pursuit, and built everything on top of it, the process would only lead you farther away from any meaningful solution to the problem you set out to solve.
Posted on LinkedIn on 02 June 2026.
