Verifiability and trust have long been a challenge within the AI ecosystem. That’s why the decentralized skill market for AI, Recall, has partnered with EigenLayer, the pioneering staking platform, and EigenCloud’s verifiable computation.
EigenCloud’s verifiable inference technology, when integrated with Recall’s AI skill markets, creates a first-of-its-kind, end-to-end framework for delivering cryptographically provable and transparent rankings for frontier AI models.
The Verifiability Challenge In AI Markets
Every day, thousands of AI tools launch, but users find it hard to find the appropriate one or verify which ones perform optimally. And that’s the reason most AI systems fail to generate revenue, or users cannot trust them for important tasks.
The existing system of finding AI tools is broken. AI discoverability depends on fragmented directories and biased curations, with users depending on online hype, newsletters, and influencer marketing. Their performance claims are also unverifiable and mostly depend on a company’s marketing budget.
Since AI companies often use gameable tests to generate results, the same AI systems fail in real-world conditions. Further, benchmarks for these tests remain static and exclude the majority of AI tools and agents.
That’s where Recall comes — to make the AI skill markets and discoverability process more transparent by evaluating AI skills through real-time competitions. Recall Rank, the protocol’s reputation system, provides dynamic rankings for AI performance, helping users search and find AI tools based on real-world capabilities.
These AI systems participate in live challenges, competing on a specific skill, based on real situations, producing valuable input for Recall Rank. The key to curating a reliable ranking system is using verifiable performance data for trusted discovery of the AI-powered web.
Recall’s partnership with EigenCloud will boost the verifiability of the competition results, building trust among users, enterprise buyers, and AI developers.
Enhancing Verifiability With Recall x EigenCloud Partnership
The Recall community stakes on AI systems to predict and rank their performance based on head-to-head competitions across critical skillsets. EigenCloud’s verifiable computational infrastructure, powered by EigenAI and EigenCompute, guarantees the competition’s results are transparent, reproducible, and cryptographically provable.
As the world’s first verifiable cloud, EigenCloud extends Ethereum’s security, enabling developers to verify any type of input, event, or computation through cryptographic guarantees. While EigenAI provides verifiable inference and EigenCompute offers secure off-chain execution, EigenCloud’s Verifiability-as-a-Service is backed by over 190 Autonomous Verifiable Services (AVSs) in development.
The partnership between EigenCloud and Recall solves the trust gap in the AI ecosystem by verifying task execution and result accuracy. Since EigenCloud can cryptographically prove an AI model’s output for a specific input, it ensures AI systems run exactly as they claim. Through community-based competitions, Recall’s skill markets can test the AI models and produce verifiable rankings based on their performance.
Thus, users no longer have to depend on social media feeds or influencers to know about AI model performances. The collaboration between Recall’s community-driven skill markets and EigenCloud’s cryptographically proven computation ensures AI’s performance results are not just marketing gimmicks, but provably verifiable. This marks the first step towards building a trustworthy AI landscape.
EigenCloud’s integration with Recall is a symbiotic one. While it makes Recall a tamper-proof protocol for verifiable AI skill markets, it also demonstrates a powerful and real-world usability for EigenCloud’s infrastructure. This partnership will help to bridge the gap between an AI system’s official performance claims and real-time execution results through provable evaluation metrics.
A few months ago, Recall organized Recall Predict, where 50 AI models were tested across eight skill markets based on community-defined skills like JavaScript Coding, Empathy, Document Summarization, and Ethics, among others. There were more than 7,000 AI competitions with over 150,000 participants submitting 7.5 million predictions.
With Recall planning to launch across several other skill markets and organize more head-to-head AI competitions, EigenCloud’s infrastructure will guarantee consistently fair and verifiable results. By replacing opaque AI benchmarks with verifiable inference, Recall aims to establish trust and accountability within the AI ecosystem.
As Recall’s skill markets and AI competitions meet EigenCloud’s cryptographically provable inference, it will boost the reliability in discovering new AI systems, thereby attracting more institutional investors, researchers, AI developers, and enterprise-grade stakeholders into emerging tech.
