LLMs chat well but miss emotional cues. Future AI might use hybrid logic, world simulations, and concept models to actually understand feelings.
The story
LLMs mimic chit-chat fine,
but empathy is harder to find.
What if new brains could map your feels from the inside,
through worlds they build to sync with your mind?
I’m Scott Howard Swain, psych dork who geeks on cognitive empathy like it’s a boss-level quest. LLMs are great at word salad, but often shaky at *reading the room*. Ever wonder what might replace them for actual AI “hearts”?
🟢 Hybrid Brains: Patterns Meet Logic?
Picture fusing pattern-spotting neural nets with rule-based smarts. Fewer black-box vibes, more calls you can trace, like, “I’m guessing you felt hurt because a need didn’t get met.” That’s empathy loot, logic that generalizes across feelings, not just text.
🟢 World Models: Sim Life Like a Gamer?
Yann LeCun’s push: AI builds inner sims from video, sound, and movement. Not token roulette, more like predictive “what if” sandboxes that learn cause-effect in real scenes. A robot might “notice” your tension by forecasting outcomes, then plan a kinder path.
🟢 Experiential Loops: Live, Learn, Loop?
Less text farms, more action-reward streams, self-play squads refining strategies. Sutton and Sutskever energy: extract core moves, not trivia hoards. AI “lives” scenarios and gets better at mid-game emotions.
🟢 Large Concept Models: Think in Concepts, Not Chunks?
Bigger ideas over tiny word bits, more coherent across languages and cultures. Your hypothesis about my heartbreak, less chance of a weird glitch.
LLMs kicked the door open. These evolutions might unlock more empathetic AGI. What worlds do you want to co-sim first?
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