At the end of the day, LLMs are text prediction machines. No memory, no understanding, no learning. If you ask it for time off, it's going to answer with whate

At the end of the day, LLMs are text prediction machines. No memory, no understanding, no learning. If you ask it for time off, it's going to answer with whatever sentence seems most likely to follow 'May I please have tomorrow off?' given a minor amount of context window. It can't count the number of employees in the store. It can't understand busy periods or holidays, it can't look up or predict anything itself. It can't remember how often you've asked before. It can't judge if the reason for time off is justified. It can't consider budget. You can add more context to the questions to steer it towards giving a specific reply, but it's not actually thinking about the problem. LLMs have no path towards a true intelligence. We'd need a completely different technology built from the ground up. Every effort to shoehorn them into being one is either marketing and hype building to try to keep the grift going, or people who do not understand how this works. I'm exhausted from having to say it over and over. I've been saying it since these LLMs first existed. Half the articles on HN are LLM related. My god what I would give for an 'LLM' tag we could filter out.