Part 9/10:
Understanding these layers explains why AI chatbots, even when trained on similar data, can differ dramatically in personality and behavior. The core datasets serve as a common ancestor; it's the post-training refinement, system prompts, and underlying philosophies that determine how each model "speaks" and interacts.
The speaker concludes with a reminder that pushing for safer, more cautious AI may limit usefulness and personality, but it aligns with corporate and safety priorities. Conversely, embracing more expressive, rebellious personas—like Grock—can unlock richer interactions, though with inherent risks.