In today’s column, I identify how you can use generative AI and large language models (LLMs) as a vital tool for becoming a deep thinker. The notion is straightforward. You would regularly engage in conversations with generative AI to significantly aid and deepen your thinking processes. This might be likened to the Socratic method whereby
Posts published by “Lance Eliot”
In today’s column, I examine the latest breaking research showcasing that generative AI and large language models (LLMs) can act in an insidiously underhanded computational manner. Here’s the deal. In a two-faced form of trickery, advanced AI indicates during initial data training that the goals of AI alignment are definitively affirmed. That’s the good news.
In today’s column, I closely explore the rapidly emerging advancement of large behavior models (LBMs) that are becoming the go-to for creating AI that runs robots and robotic systems. You might not be familiar with LBMs. No worries. I will be explaining what an LBM is, along with identifying how they end up leveraging large
In today’s column, I examine the intriguing and quite troubling possibility that as generative AI and large language models (LLMs) are devised to be bigger and better, they are also disturbingly becoming less reliable. Recent empirical studies have tried to figure out this quandary. One possibility is that the reliability drop is more due to