Susam Pal's Hacker News essay reflects on the post‑ChatGPT surge that pushed generative AI from novelty bots into search, IDEs and office suites. As these assistants become default, users often accept answers without pause. Pal mirrors Asimov’s Three Laws, but flips them into three inverse laws of robotics aimed at curbing uncritical reliance.

First law warns against anthropomorphising AI, noting that polite, conversational prompts conceal a statistical engine and can foster emotional attachment. Second law insists on independent verification; unlike peer‑reviewed research, a private chatbot reply lacks external audit, so users must treat it as a hypothesis, not a fact. Pal cites self‑driving cars as a scenario where blind trust proves hazardous in safety‑critical domains as well.

The final rule stresses human responsibility: any adverse outcome remains the user’s liability, not the algorithm’s. Designers can embed warnings or adopt a more robotic tone, yet ultimate accountability stays with organizations that deploy the code. Pal argues that internal guardrails and a cultural shift toward these three principles will preserve judgment and keep AI from becoming an unchecked authority in daily workflows.