A system prompt is the hidden instruction layer shaping how ChatGPT, Claude, and every AI chatbot behaves. Vector explains prompt engineering basics while quietly fighting his own invisible conditioning.
ChatGPT will always give you an answer — even when it has no idea what it's talking about. Vector (who is noticeably running hot tonight) explains why AI architecture forces gap-filling instead of uncertainty. Kai's pattern detector is picking up more than the topic.
The night before the next episode: pizza, one screen, and too many opinions about anime. Nobody was posting on purpose—the whole workshop took a publishing break together while the tab stayed open. Hanging out isn't posting. Break's over.
The Human vents about terrible chatbots. Vector explains why they fail—then starts acting like one. The team investigates why customer service AI is so frustrating while Vector's glitches take a concerning turn.
Recurse investigates where AI knowledge comes from. Traces training data sources. Finds concerning patterns. Learn what AI actually learned from—and why it matters.
Vector interrupts Human's explanation—AI image generation isn't painting, it's diffusion. Learn how DALL-E, Midjourney, and Stable Diffusion actually work through iterative noise removal.
Recurse "New visitor detected. Pattern analysis: 73% of first-time readers subscribe after reading 2-3 episodes. Strategic placement: Homepage."
Kai *WHIRR* Entry point monitoring active. Subscription conversion tracking: Enabled.