Some of these are good arguments and can turn out to be true. But they are equally likely to be false. 1/ We humans are still generating data. To live is to ge

Some of these are good arguments and can turn out to be true. But they are equally likely to be false. 1/ We humans are still generating data. To live is to generate data and while it is dystopian to think about how these data can be harvested, it is still possible to get more information to feed the next gen AIs. And remember that right now, we have only used text and images. Videos, audio, sensory inputs (touch, smell, taste, etc), and even human's brainwaves are still available as more training data. We are nowhere close to running out of stuff to teach AIs yet. 2/ Fine tuning and optimizing training has shown tremendous effects in reducing the size of these LLMs. We already have LLMs running on laptops and mobile phones! With reasonable performance and in only half a year from the big release. There is lots of room to grow here. 3/ My nieces laughed when I told them TikTok is too invasive. Most people outside of HN does not care about data privacy as much as you might think. 4/Sometimes it only takes 1 big breakthrough to open the floodgate. Transistors was that point for computers and we are still developing new techs based on that 100 years old invention. We don't know how much potential there is in these decades old AI invention especially when many of them was only put into proper practice the last decade. We didn't learn the big mistake until very recently after all. Just some ways things can go differently. It is the future, we can't really predict it. Maybe an AI can...