The Silicon Epoch Field Guide.
Thirteen distinct chapters tracking the physical nodes, the neural weights, and the global power structures shaping the dawn of silicon intelligence.
Compute Core
The physics of GAA nanosheet transistors, wafer economics, and the roadmap to N2 nodes.
How It Works
Transformers, self-attention mechanisms, tokenization, and the shift to test-time reinforcement learning.
Frontier Labs
Monolithic U.S. hyperscalers, open-weights Chinese disruptors, and sovereign European champions.
Use Cases
Agentic coding pipelines, Olympiad-level mathematics, and AlphaFold-driven scientific discovery.
Humanity
The social contract, labor displacement, and the cognitive transition to silicon co-pilots.
AGI & ASI
Consensus timelines, intelligence benchmarks (ARC-AGI, GPQA), and recursive self-improvement.
Games
RL agents from Deep Blue and AlphaGo to AlphaStar and Genie's generative 3D environments.
Next Decade
Logical error-corrected qubits, logical humanoid actuators, and the hardware convergence.
Infrastructure
Datacenter CapEx grids, SMR nuclear energy PPAs, and raw megawatt power bottlenecks.
Geopolitics
Export controls, SMIC advanced DUV patterning, and the geographic concentration of ASML/TSMC chokepoints.
Open vs Closed
The philosophical war between weights accessibility and proprietary safety alignments.
Data Wall
The public human text depletion limit, synthetic data generation, and reinforcement learning.
Learn AI
A curated roadmap of technical papers, courses, and math prerequisites to master machine learning.