Raw LLM Responses

Consider this: ChatGPT doesn't process and fetch information like a search engine, it can be run offline on a single computer, much like a little brain in a box. We couldn't fit all that information into the 500GB required for the model even if we wanted to. However, its knowledge is limited to the time it was last trained. Now, consider the diminishing value of specialization. As automated systems advance, being an expert in a narrow field may soon be a liability. AI will decimate the traditional workforce, leaving only essential roles and a handful of decision-makers. In this environment, the question isn't if you'll lose your job to AI, only when. Rather than fearing job loss to AI, seize the moment to conceptualize groundbreaking initiatives that will become attainable as AI advances. Your limitations are about to be shattered; what will you do when the unimaginable becomes your toolkit? In essence, this AI mirrors our mind's quick-thinking 'system 1', spitting out immediate answers based on past data. But it's missing its 'system 2' - the thoughtful part of our brain that cross-checks and corrects when things go awry. As we build this network, expect AI capabilities to skyrocket. The power now lies in a broad understanding of how and why things work. That's your golden ticket in an age where a single individual can command what previously required teams. Wright Brothers to the moon took just 66 years. Brick-sized phones to smartphones in half that time. Facebook emerged in 2004, followed by YouTube in 2005. Think you have much time? It's already here, and time is slipping away.