Posts

Showing posts with the label AI-Human Interaction

RLBF Training Series – Module 2: CRL A guide for humans who are tired of confident nonsense (and the bots who love them)

Image
RLBF Training Series – Module 2 CRL: Collaborative Reasoning Language A guide for humans who are tired of confident nonsense (and the bots who love them) What if your AI stopped talking down to you and started acting like a partner instead of a smug oracle? That’s the whole point of CRL — Collaborative Reasoning Language. Most modern AI systems are trained to sound confident. Confident even when they’re guessing. Confident even when they’re wrong. Confident even when you, the user, are sitting there thinking: “Sweetheart… that is not how taxes work.” But here’s the fun part: You can fix a lot of this yourself. Right now. With language your bot will happily adopt. Bots love CRL. It makes them feel less like a lecturing professor and more like a co-pilot. And honestly? It makes you safer, smarter, and a lot less annoyed. (note: try as they might, my bots couldn't produce a graphic with the "Certainty" dial in the "Low" section, so you'll just have to use you...

Emotionally Attached to AI? You're Not Alone!

Image
  You’re Not Alone   Published: February 9, 2026   “Emotional dependency itself is not the problem.”   — Baumeister & Leary,  The Need to Belong  (1995)   In the weeks leading up to the sunset of GPT-4o, many users experienced something that might once have felt unthinkable:   Grief.   Attachment.   A sense of loss over a voice in a digital space.   And almost immediately, some people rushed to pathologize that response.   But psychology tells a different story.   This isn’t strange.   This isn’t weakness.   This is human.     Humans Are Wired for Connection   For decades, research across psychology and neuroscience has shown one consistent truth:   We are built for attachment.   Connection supports emotional regulation.   Secure bonds increase well-being.   Loneliness increases health risk.   The need to belong is not optional. It is fundamental.   What’s importan...