Stop Trusting LLM Output Blindly
Not long ago, every AI tool carried a small disclaimer at the bottom of the screen: always verify AI-generated content. We read it, nodded, and moved on. Somewhere along the way, we stopped reading it altogether. That is a problem. ## Accountability Is the Defining Skill of the AI Era The single most important thing to understand about working with large language models is this: you are (...)
Measuring AI productivity gains
More and more companies are now using AI. I work in tech so I am aware I am in the front line of this "revolution". Other companies are being force-fed AI through the products they use daily, mostly by Microsoft and Google. This might be great for some uninteresting tasks and I've experienced it in my day-to-day work. Offloading some tedious jobs to AI like updating JSON files, writing simple to (...)
Philosophy of the large language models and their place in society
Ever since LLMs have emerged around the year 2022, they haven't stopped becoming more prominent in our everyday lives. I am a software engineer and some of my colleagues started using them very early on, even using them to get hired. At first, I was reluctant to use them, maybe a bit ashamed, so I did some introspection. My questions were many and of various kind and the answers were scarce. - (...)