AI has gone from novelty wingman to built-in infrastructure for modern dating—photo pickers, message nudges, even bots that “meet” your match before you do. In this episode, we unpack the psychology of borrowed charisma: why AI-polished banter can inflate expectations the real you has to meet at dinner. We trace where the apps are headed, how scammers exploit “perfect chats,” what terms and verification actually cover, and the human-first line between assist and impersonate. Practical takeaway: use AI as a spotlight, not a mask—and make sure the person who shows up at 7 p.m. can keep talking once the prompter goes dark.

This episode is based on the article “The Chat Was Fire. The Date Was You.” by Markus Brinsa.

https://chatbotsbehavingbadly.com/the-chat-was-fire-the-date-was-you

New episodes every Tuesday.

Chatbots Behaving Badly is produced in collaboration with SEIKOURI Inc.

AI made it faster to look busy. Enter workslop: immaculate memos, confident decks, and tidy summaries that masquerade as finished work while quietly wasting hours and wrecking trust. We identify the problem and trace its spread through the plausibility premium (polished ≠ true), top-down “use AI” mandates that scale drafts but not decisions, and knowledge bases that initiate training on their own, lowest-effort output. We dig into the real numbers behind the slop tax, the paradox of speed without sense-making, and the subtle reputational hit that comes from shipping pretty nothing. Then we get practical: where AI actually delivers durable gains, how to treat model output as raw material (not work product), and the simple guardrails—sources, ownership, decision-focus—that turn fast drafts into accountable conclusions. If your rollout produced more documents but fewer outcomes, this one’s your reset.

This episode is based on the article with the same name.

https://chatbotsbehavingbadly.com/the-polished-nothingburger-how-ai-workslop-eats-your-day

The slide said: “This image highlights significant figures from the Mexican Revolution.”

Great lighting. Strong moustaches. Not a single real revolutionary.

Today’s episode of Chatbots Behaving Badly is about why AI-generated images look textbook-ready and still teach the wrong history. We break down how diffusion models guess instead of recall, why pictures stick harder than corrections, and what teachers can do so “art” doesn’t masquerade as “evidence.” It’s entertaining, a little sarcastic, and very practical for anyone who cares about classrooms, credibility, and the stories we put in kids’ heads.

This episode is based on the article “Pictures That Lie” by Markus Brinsa.