[Scubabear68]

My personal take is a pre-requisite of true human-like AI is physical feedback and a concept of emotions or something like it.

Without physical feedback you can rapidly devolve into unstable positive feedback loops. And emotions are what help us process and react to that feedback.

Kids learn partially because their friends say sharp words that hurt them, fire burns them, they go hungry and starve if they don’t plan for meals.

Humans in the loop, MCP, etc are all very primitive hacks that are mimicing feedback and emotion, poorly.

[the_af]

> My personal take is a pre-requisite of true human-like AI is physical feedback and a concept of emotions or something like it.

Ted Chiang's recent article, which received a lot of pushback from HN'ers (but not from me, I agree with Chiang) claimed for true consciousness the AI needs a physical body, and emotions (which means organs and hormones and a system capable of feeling emotions). I would also add that to behave more rationally, it should have a real sense -- not a roleplayed one -- of self-preservation and a notion that bad choices can lead to an end to its existence.

[Joel_Mckay]

Emotional constructs are not necessary for AI, and LLM are not "AI"... even though some people incorrectly equate conceptual compaction with thought-process.

Most human daily life runs on habitual scripted behavior, and that is even true within online parasocial interactions. It is why people often continue to shop in the middle of a violent robbery, and why LLM predictive text sounds rational when we project social norms on plagiarized conversational structures gleaned from other users.

Neuromorphic computing may bring about viable AI in the future, but our current LLM trajectory would require >63% of our galaxy energy output to reach a single human-level error rate.

LLM are fairly good at some tasks like context search, but people will need to recognize the Gartner Hype Cycle "Peak of Inflated Expectations" stage eventually. =3

https://en.wikipedia.org/wiki/Gartner_hype_cycle