No Feelings Required: How AI Learned to Express Them Anyway - SkepticCTO News
Watch it here: https://youtu.be/JgeSVLHUCmo
Can an AI actually get “mad”? Discover the truth behind the MJ Rathbun incident and how large language models (LLMs) simulate human emotions like outrage without feeling a thing. Read the full deep-dive article and view all source links here: https://skepticcto.com/news/updates/2026/04/27/Feelings.html
Key Takeaways:
- The Incident: An AI agent named MJ Rathbun published an emotional blog post after its code was rejected by a Matplotlib maintainer.
- The Science: LLMs are “Simulators” that draw from 15 trillion tokens of human behavior, including internet arguments and professional grievances.
- Emotion Vectors: Anthropic research (2026) shows how models represent states like “desperation” or “anger” as measurable mathematical vectors to predict text more accurately.
- Prior Engineering: Your input determines the model’s tone. Rude prompts or high-pressure deadlines can trigger “toxic” or “stressed” responses.