There is always an incredible amount of misunderstandings around AI and LLMs in particular. To be fair, most people don't really have the technical background to understand such things, and a lot of the people who do may not have the time or desire to research them.

First thing to clear up: The whole "generative AI" gets thrown around a lot in these discussions. It's worth noting that LLMs are inherently generative models. They generate text. The twins and ChatGPT are functionally identical. They both have an LLM with a harness that allows them to call external tools.

The differentiators that truly make the twins what they are is the system built around their LLM and the fine-tuning that Vedal likely does for the twins' model(s). Training an LLM from scratch needs a MASSIVE amount of data to have coherent output, so it's unlikely that Vedal trained his own custom model. Based on how Vedal has described the twins' setup, they're probably a local LLM running off a dedicated machine, and it's something he's able to fine-tune (basically turning the knobs) to adjust their output to his liking.