First of all, current big datasets aren't the full internet, just large subsections, specific datasets of pictures or regular text. We also generate about 100 zettabytes of new data on a yearly basis as of this year, and generative models can, with the help of humans to sort it for value for now, generate their own datasets. And while currently available LLMs and Image recognition and generation models are still quite narrow, stuff like gato, flamingo, etc have shown that at the very least multimodal models are possible with current tech, and imo it’s pretty clear that more narrow AI models could be combined together to create a program that acts as an AGI agent.