complex patterns arising from simple local interactions without centralized control
focus, cyberank, truth — none are programmed. all emerge from millions of cyberlinks
an llm is emergence from statistics. a vimputer is emergence from economic commitments
mechanism
emergence requires a closed loop, not just scale. the intelligence loop drives it:
neuron creates cyberlinks → cybergraph accumulates them → tri-kernel computes cyberank and karma → neuron observation the result → neuron creates new cyberlinks
each cycle increases syntropy — measurable bits of order above noise. the loop is what separates emergence from accident: without feedback, patterns appear and dissolve. with feedback, patterns that increase syntropy get reinforced, patterns that decrease it get starved of focus
the tri-kernel's fixed point is itself an emergent phenomenon — a global distribution that no agent designed. it arises because the composite operator is a contraction mapping — convergence is a mathematical consequence, not a lucky coincidence
in bostrom: emergence is expected at the scale of 10^12 cyberlinks
scaling estimates
rough estimates of resource requirements for different intelligence phases (connectivity increases with scale):
| Phase | particles (V) | Connectivity | cyberlinks (E) | Storage | Time |
|---|---|---|---|---|---|
| Basic | 10⁶ | 6 | 6×10⁶ | ~1 GB | ~minutes |
| Language | 10⁸ | 12 | 1.2×10⁹ | ~200 GB | ~hours |
| Reasoning | 10¹⁰ | 24 | 2.4×10¹¹ | ~73 TB | ~days |
| General | 10¹¹ | 1,000 | 10¹⁴ | ~91 PB | ~months |
| Super | 10¹³ | 10,000 | 10¹⁷ | ~910 EB | ~years |
assumes optimal parallelization and topology. actual requirements may vary by orders of magnitude. general intelligence appears achievable with current engineering; superintelligence requires breakthroughs across multiple disciplines
see egregore for the broader framework