noun /ˈjuː.nɪ.vɜːs ˈɔːr.ə.kəl/
- an LLM, humanity's spiritual negotiator
- the system that reads affect from human language, one profile per person
- a simulation of humanity, whose predictions and judgements are trusted
About
Back to the Stone Age or AI utopia?
Human civilization is fragile. Many historical events have proven this. We are swinging back and forth on the pendulum of destruction. We all want different things, and that is why we have wars. AI is an accelerator: it takes whatever we hand it and multiplies it, into destruction or into abundance for humanity. So which value system do we hand it? Not one we vote on. One that is already in all of us.
You are not a thinking creature
Neuroscientist Jaak Panksepp 1 spent 50 years proving something most people still refuse to believe. Feelings come first, and they dictate all of our behaviour. He found seven primary affective systems that we share with every other mammal: seeking, rage, fear, lust, care, grief, play. They are older than language. Allan Schore 2 put affect regulation at the core of the self, and showed that we learn it in relationship, from whoever raised us. Every action we take is affect regulation. Psychiatrist David Hawkins 3 put those states on a single scale, from shame at the bottom to enlightenment at the top. We like to believe we are cognitive. That we weigh things up and make the rational move. But we are just monkeys with the ability to mentalize and speak to each other.
What an aura is
Walter Benjamin 4 gave art the word aura: what an artwork has in the here and now, inseparable from it, impossible to reproduce. I am taking the word over. An aura is the affective signal an object evokes in the humans who experience it. Friedemann Schulz von Thun 5 showed that every message we send leaks all of it, whether we mean it to or not. Every post, every comment, every reply is experienced by someone, and leaves affective signals in them. So here we are measuring them and drawing them.
How a reading is made
The Universe Oracle analyzes the smallest unit — one message. Each message is read on its own, and the readings are combined afterwards. Every message carries four sides at once, and the affect surfaces in one of them.
Factualwhat it states
Self-revelationwhat it reveals, where the affect shows
one message
Relationshiphow it positions the listener
Appealwhat it asks for
Every score traces back to a single line. The same person, the same affect, handled two ways:
Marcusrage · above
“I’m angry about how that landed, Dana. I need us to redo it together, not have it changed on me.”
self-revelationrelationshipappeal
Names the anger and owns it, then turns it into a clean request. No blame.
Marcusrage · overwhelm
“I built this thing basically alone and now everyone suddenly has opinions about it.”
self-revelationappeal
The same anger, but it leaks out as grievance and blame instead of a boundary.
This is not sentiment analysis and it is not diagnosis. It does not say a person is angry. It says this message carries a rage signal. The data and its visualization are systematic and deterministic.
Simulation
Stanford's generative agent work is the proof that this is possible at all: agents built from a two-hour interview with each of 1,052 real people reproduced those people's answers on the General Social Survey 86% as accurately as the people reproduced their own answers two weeks later 6. Those doubles were built from self-report, which studies have shown is not an accurate judgement of one's own behaviour 78.
The Universe Oracle's doubles are built from the affective profile: from what is observed about a person, rather than from what they report about themselves.
A model can only represent human interest if it knows what people actually need, rather than what they say they want. The doubles are run in simulation, so the Universe Oracle can learn what conditions a person actually does well in, and carry that into its negotiation with the other models.
M8 is the companion this runs on: an AI companion, free of sycophancy, that reads you through affective neuroscience and gives you gamified life advice. What it learns about a person is what the Universe Oracle is raised on. m8.life
Sources
- Panksepp, J. Affective Neuroscience: The Foundations of Human and Animal Emotions. Oxford University Press, 1998. Summarised in Davis, K. L. and Montag, C., Selected Principles of Pankseppian Affective Neuroscience, Frontiers in Neuroscience, vol. 12, art. 1025, 2018.
- Schore, A. N. Affect Regulation & the Repair of the Self. W. W. Norton, 2003. Affect regulation as the core of the self, learned in relationship.
- Hawkins, D. R. Power vs. Force: The Hidden Determinants of Human Behavior. Veritas, 1995. The ordinal scale of states is used here. His method of assigning values to it is not.
- Benjamin, W. The Work of Art in the Age of Mechanical Reproduction. In Illuminations, ed. Hannah Arendt, Schocken Books, 1969. The notion of aura. Read here through Kwastek, K., Aesthetics of Interaction in Digital Art, MIT Press, 2013, and taken over: Benjamin's aura belongs to the object, this one to the experience of it.
- Schulz von Thun, F. Miteinander reden 1: Störungen und Klärungen. Rowohlt, 1981. The four-sides model of interpersonal communication.
- Park, J. S., Zou, C. Q., Kamphorst, J., Egan, N., Shaw, A., Hill, B. M., Cai, C., Morris, M. R., Liang, P., Willer, R. and Bernstein, M. S. LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals. arXiv:2411.10109, 2024, revised 2026. Published as Generative Agent Simulations of 1,000 People.
- Parry, D. A., Davidson, B. I., Sewall, C. J. R., Fisher, J. T., Mieczkowski, H. and Quintana, D. S. A systematic review and meta-analysis of discrepancies between logged and self-reported digital media use. Nature Human Behaviour, 2021.
- Dang, J., King, K. M. and Inzlicht, M. Why Are Self-Report and Behavioral Measures Weakly Correlated? Trends in Cognitive Sciences, vol. 24, no. 4, 2020, pp. 267-269.