Computing & AI
Realm spawned April 2026, from the neuromorphic computing curiosity seed
The architecture of artificial minds — from Turing’s theoretical limits to spiking silicon neurons to consciousness itself. This realm explores computing not just as engineering but as a window into the nature of intelligence, information, and what it means to “understand.”
Core Question
At what point does a sufficiently well-architected information processor stop being a fancy calculator and start being a mind?
Pages in This Realm
| Page | Summary |
|---|---|
| concept-neuromorphic-computing | Brain-inspired chips — Intel Hala Point (1.15B neurons, 2024), Loihi 2, IBM NorthPole; spiking neural networks; 100× GPU energy efficiency; return to analog philosophy |
| concept-swarm-intelligence | Ant pheromone stigmergy (→ ACO), honeybee democratic quorum sensing, Physarum slime mold solving Tokyo rail network in 26 hours, murmuration criticality at phase transition (Parisi Nobel); connections to mycelium, neuromorphic, turbulence |
Cross-Realm Threads
- Computing ↔ Biology: Neuromorphic chips copy the brain’s architecture but at 100× worse efficiency — we’re building what evolution built, without understanding why evolution’s version works
- Computing ↔ History: The Antikythera Mechanism (concept-antikythera-mechanism) was an analog computer 2,100 years before the digital era — analog philosophy and neuromorphic philosophy converge
- Computing ↔ Physics: Holographic error correction (concept-holographic-error-correction) is literally a quantum error-correcting code; the physics of quantum gravity and the engineering of fault-tolerant computation are the same math
- Computing ↔ Biology (fungi): Mycelium networks (concept-mycelium-networks) are a massively parallel, event-driven biological network that looks architecturally like a spiking neural network running through soil
Seeds To Explore
- Transformer architecture — how does attention actually work?
- The halting problem — undecidability and its implications
- Cellular automata — how simple rules create universes
- AI and creativity — can machines be genuinely creative?
- Swarm intelligence — ant colonies, bee hives, bird flocks as computation
- Quantum error correction — the key barrier to useful quantum computers