Why Does the World Need Us?

In an era where information travels at the speed of light across global digital networks, humanity confronts two interconnected crises that threaten the very foundation of trust in our digital society. These challenges, while distinct in their manifestations, share a common root: the fundamental difficulty of verifying truth (arbitrary data) in an increasingly complex information landscape.

The first crisis is the misinformation epidemic that has reached unprecedented scale and sophistication. The proliferation of social media platforms, the democratization of content creation, and the emergence of advanced artificial intelligence tools have created an information ecosystem where falsehoods can spread exponentially faster than truth. Traditional content validators have largely become centralized gatekeepers, often introducing their own biases and agendas while wielding significant power over information flow. Rather than solving the verification challenge, these institutions frequently contribute to information control and narrative manipulation across platforms.

This reality became starkly evident when Meta CEO Mark Zuckerberg admitted in August 2024 that the Biden administration had “repeatedly pressured” Facebook “for months to censor certain COVID-19 content, including humor and satire,” acknowledging that the company succumbed to government pressure to remove content that officials deemed problematic. Similarly, other major social media platforms have faced their own accusations of content manipulation and censorship, with numerous documented cases of removing or suppressing content based on external pressures, only to later reverse these decisions when faced with public scrutiny. Meanwhile, traditional media institutions have degraded the quality of journalism by enforcing and rewarding dishonesty, while those committed to truth-telling face deplatforming and censorship, creating a crisis of trust that undermines the very systems intended to combat misinformation.

The second crisis centers on the “oracle problem” - the fundamental challenge of reliably bringing real-world data onto blockchain networks. While blockchain technology promises trustless, decentralized systems, current solutions for incorporating external data face severe limitations that restrict the evolution of both DeFi and decentralized AI applications. The inability to reliably verify and incorporate complex real-world information prevents the development of more sophisticated blockchain applications that could revolutionize sectors like insurance, supply chain management, and AI-driven decision making.

Current oracle solutions primarily focus on price feeds and basic numeric data, leaving a vast universe of potential blockchain applications unexplored. For instance, AI systems require verified, trustworthy data to make accurate predictions and decisions. Supply chain applications need verifiable data about product location and authenticity. Insurance products depend on reliable information about real-world events. The lack of reliable mechanisms for bringing this diverse data on-chain has created a significant barrier to blockchain adoption across industries.

The consequences are particularly evident in both DeFi and AI applications. While DeFi protocols remain largely confined to basic trading and lending, AI systems struggle with data verification and trustworthiness. Recent failures highlight these constraints: AI models trained on unverified data produce unreliable results, prediction markets struggle with outcome validation, and advanced applications remain impossible without trusted mechanisms for incorporating diverse, real-world data. This represents a fundamental challenge that must be solved to enable the next generation of blockchain and AI applications.

These twin challenges demand nothing less than a fundamental reimagining of how we approach information verification that can simultaneously address the human need for trustworthy information and the technical requirement for reliable on-chain data. The solution lies not in incremental improvements to existing systems, but in a revolutionary paradigm that harnesses the collective intelligence of distributed networks to create an entirely new infrastructure for digital truth.