"The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions." -- Marvin Minsky
The connection keyle is making -- same LLM, different professional profiles -- is exactly Minsky's insight. The profile IS a K-line: "geologist" activates {rock strata, deep time, fieldwork, skepticism...}
I wrote up how this applies to LLMs, including The Sims zodiac signs (1997: zero code, perceived as "too influential"):
The punchline: one voice is the wrong number of voices.
When you ask a single LLM "Should I take this client?", you get the statistical center of all possible viewpoints -- hedged, cautious, anodyne. The centroid of the cloud, not the shape of the cloud.
An adversarial comittee with Maya would say: "Trap. Their scope creep is a red flag."
Frankie would say: "The opportunity! The growth!"
Vic would say: "Show me the financials."
A single voice smooths all these into one bland answer. Adversarial committees force the LLM to explore the actual distribution of perspectives.
alt Hacker News
Minsky's key works on this:
"K-lines: A Theory of Memory" (1980) -- Cognitive Science. Names as activation vectors that reactivate entire constellations of knowledge.
https://www.sciencedirect.com/science/article/abs/pii/S03640...
https://en.wikipedia.org/wiki/K-line_(artificial_intelligenc...
"Society of Mind" (1986) -- The full theory. Intelligence as emergent property of many simple agents.
https://www.simonandschuster.com/books/Society-Of-Mind/Marvi...
https://archive.org/details/societyofmind0000marv/mode/2up
"The Emotion Machine" (2006) -- Extends Society of Mind to emotions as "ways of thinking."
https://en.wikipedia.org/wiki/The_Emotion_Machine
"The question is not whether intelligent machines can have any emotions, but whether machines can be intelligent without any emotions." -- Marvin Minsky
https://philopedia.org/thinkers/marvin-lee-minsky/
For LLM multi-agent work:
"Generative Agents: Interactive Simulacra of Human Behavior" (Park et al., Stanford, 2023)
https://arxiv.org/abs/2304.03442
The connection keyle is making -- same LLM, different professional profiles -- is exactly Minsky's insight. The profile IS a K-line: "geologist" activates {rock strata, deep time, fieldwork, skepticism...}
I wrote up how this applies to LLMs, including The Sims zodiac signs (1997: zero code, perceived as "too influential"):
Sims Astrology: https://github.com/SimHacker/moollm/blob/main/designs/sims-a...
Society of Mind: https://github.com/SimHacker/moollm/blob/main/skills/society...
K-Lines https://github.com/SimHacker/moollm/blob/main/skills/k-lines...
Adversarial Comittee: https://github.com/SimHacker/moollm/blob/main/skills/adversa...
The punchline: one voice is the wrong number of voices.
When you ask a single LLM "Should I take this client?", you get the statistical center of all possible viewpoints -- hedged, cautious, anodyne. The centroid of the cloud, not the shape of the cloud.
An adversarial comittee with Maya would say: "Trap. Their scope creep is a red flag." Frankie would say: "The opportunity! The growth!" Vic would say: "Show me the financials."
A single voice smooths all these into one bland answer. Adversarial committees force the LLM to explore the actual distribution of perspectives.
MOOLLM Manifesto: https://github.com/SimHacker/moollm/blob/main/designs/MOOLLM...
MOOLLM Eval Incarnate Framework: https://github.com/SimHacker/moollm/blob/main/designs/MOOLLM...