This autonomous governance protocol manages everything from adding node providers to upgrading the core protocol. It operates via proposals and a liquid democracy system, removing the need for a centralized administrative body.

Related Insights

Decentralized Autonomous Organizations (DAOs) can shift the power dynamic in large partner ecosystems. Instead of a top-down vendor model, partners can collectively propose, vote on, and update incentive rules. This transforms partners from being passive recipients of policy into active co-creators, fostering a more collaborative and competitive "living ecosystem."

Dominic Williams' vision is that users will simply describe their desired app to an AI, which then builds and deploys it on the Internet Computer, handling all underlying complexity and ensuring security.

Unlike traditional clouds, the Internet Computer protocol is designed to make applications inherently secure and resilient, eliminating the need for typical cybersecurity measures like firewalls or anti-malware software.

By requiring governance participants to lock tokens for up to eight years, the system ensures they are invested in the network's sustained success. They cannot simply vote for a harmful proposal and sell their tokens before the consequences manifest.

Instead of relying on massive, anonymous replication, the Internet Computer strategically combines known node providers from diverse data centers, geographies, and jurisdictions for robust security with less overhead.

As a step toward direct AI-driven governance, NEAR Protocol is creating "AI delegates." Token holders can delegate their voting power not to a person, but to an AI whose logic and values they agree with. This tests a model where AI can represent constituents' interests more directly and consistently than human politicians.

The Network Nervous System was designed with the idea that AIs would eventually participate in its liquid democracy. AIs will create and vote on proposals to rebalance and optimize the network, handling a scale of operations beyond human capacity.

The system replicates computing across nodes protected by a mathematical protocol. This ensures applications remain secure and functional even if malicious actors gain control of some underlying hardware.

Infrastructure designed to be unstoppable, like the Internet Computer, presents a fundamental dilemma: it could enable rogue AIs, but it also offers a crucial check against concentrated power from governments or large corporations.

The AI space moves too quickly for slow, consensus-driven standards bodies like the IETF. MCP opted for a traditional open-source model with a small core maintainer group that makes final decisions. This hybrid of consensus and dictatorship enables the rapid iteration necessary to keep pace with AI advancements.