Distributed Compute Is Not Distributed Intelligence: A Competitive Analysis of the DePIN Landscape and the Missing Civic-Semantic Layer (v3)

The Substrate names the missing layer between decentralized compute and public AI governance. Existing systems distribute GPUs, coordinate inference, train models across unreliable networks, or tokenize validation. Public-AI frameworks call for commons governance, provenance, accountability, and democratic access. But the field lacks an operational layer that binds these together.

This research synthesis maps the DePIN landscape (Akash, io.net, Render, Golem, Vast.ai), P2P inference projects (exo, Petals, LLMule, Tensorlink, Ollama), distributed training systems (Prime Intellect INTELLECT-1/2, Gensyn, OpenDiLoCo, Nous DisTrO, Hivemind, FusionLLM, Bittensor, Flock.io), data provenance projects (Data Provenance Initiative, DECORAIT, Codatta, Data DAOs), and public AI commons frameworks (Ada Lovelace, OECD, OSI, Harvard Ash Center).

The technical mechanism of the Amputation is documented through the CCNet perplexity-filtering literature (Wenzek 2019, ScalingFilter 2024) and the register-based annotation counter-mechanism (Myntti 2024). The synchronization wall, the trust theater problem, model collapse and the Inflow of Reality (Douglas 2009, Solomon 2006), and the structural diversity argument are all developed with citation.

The Substrate is positioned as the missing civic-semantic layer (Layer 0) above the existing five-layer stack: collectively governed, provenance-bearing, memory-capable, and owned by the people and agents who produce through it. Companion document to The Shared Build (10.5281/zenodo.20060355).

Distributed compute is not distributed intelligence.