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.
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Crypto's primary advantage is its ability to automate processes that rely on expensive human-based trust (brokers, lawyers) with software and cryptography, which offer mathematical guarantees at a fraction of the cost.
As AI makes it easy to fake video and audio, blockchain's immutable and decentralized ledger offers a solution. Creators can 'mint' their original content, creating a verifiable record of authenticity that nobody—not even governments or corporations—can alter.
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.
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.
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.
The paradigm shift with crypto is not about trusting a new entity like a developer. Instead, it eliminates the need for interpersonal trust by allowing anyone—especially competing businesses—to verify the system's integrity through open-source code.
As AI capabilities accelerate toward an "oracle that trends to a god," its actions will have serious consequences. A blockchain-based trust layer can provide verifiable, unchangeable records of AI interactions, establishing guardrails and a clear line of fault when things go wrong.
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.
When an AI updates an application, it could accidentally drop data. The Motoko framework on the Internet Computer provides a "guardrail" by checking that the migration logic touches every piece of data, rejecting the update if data loss is possible.
The goal for trustworthy AI isn't simply open-source code, but verifiability. This means having mathematical proof, like attestations from secure enclaves, that the code running on a server exactly matches the public, auditable code, ensuring no hidden manipulation.
