EdgeBlog and Research
Trusting Trust in the Age of AI
While resources are heavily invested in improving frontier models and optimizing prompts, the true challenge lies in how AI systems retrieve and rank information. Chaos Labs identifies the greatest risk in AI-generated misinformation infiltrating the data pipeline. If AI agents are unknowingly trained on manipulated or sybilled content, it becomes nearly impossible to trust their outputs. This vulnerability is exacerbated by unreliable document ranking systems, which prioritize popularity and commercial interests over accuracy. The Dead Internet Theory, which warns of a future where human-created content is drowned out by machine-generated noise, serves as a chilling reminder of what’s at stake if these systems are not carefully safeguarded.
Omer Goldberg
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AI-Driven Chaos and the Rise of Oracles: The Future of Trust
We’re expanding the definition of an Oracle. At its core, an Oracle is more than a protocol to source and deliver high-integrity, reliable, authentic, and secure data between networks. It adds a crucial truth-seeking layer of verification and filtering. Oracles don’t just deliver data—they ensure it’s trustworthy. Using truth-seeking algorithms, Oracles will filter out misinformation and manipulated data, safeguarding the applications and networks they serve.
Omer Goldberg
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Oracle Risk and Security Standards: Data Freshness, Accuracy and Latency (Pt. 5)
Data Freshness, Accuracy, and Latency are fundamental attributes that determine an Oracle's effectiveness and security. Data freshness ensures that the information provided reflects real-time market conditions. Accuracy measures how closely the Oracle's price reflects the true market consensus at any given time. Latency refers to the time delay between market price movements and when the Oracle updates its price feed.
Omer Goldberg
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Introducing Edge: The Next Generation Oracle Protocol
At Chaos Labs, we've always believed that robust risk management and reliable data are the foundations of a thriving DeFi ecosystem. With Edge, we're putting that belief into action, providing a solution that doesn't just report prices but actively contributes to the security and efficiency of on-chain finance.
Omer Goldberg
|Oracle Risk and Security Standards: Data Replicability (Pt. 4)
Data replicability is the capacity for third parties to independently recreate an Oracle’s reported prices. This requires transparency into two key components of the Oracle’s system: its data inputs and its aggregation methodology.
Omer Goldberg
|Chaos Labs Oracle Risk Portal
Chaos Labs is excited to announce the launch of our Oracle Risk Portal. This portal is a public resource designed to offer an accessible overview of oracle feed performance, enabling stakeholders to efficiently assess and compare deviations in oracle data.
Omer Goldberg
|Oracle Risk and Security Standards: Price Composition Methodologies (Pt. 3)
This chapter delves into the intricate world of Price Composition Methodologies, a foundational pillar of Oracle risk and security. It encompasses an in-depth analysis of data source selection and validation, an exploration of the limitations of rudimentary pricing methods and opportunities for improvement, concluding with an examination of the tradeoffs between price aggregation techniques grounded in real-world examples. This holistic overview guides readers through the practices and innovations that exemplify the relationship between price composition and Oracle security.
Omer Goldberg
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Chaos Labs Partners with Jupiter Protocol
Chaos Labs is thrilled to announce our strategic partnership with Jupiter, a non-custodial DEX aggregator and perpetual futures exchange on Solana. Our partnership represents a deep commitment to enhancing protocol resiliency and growth, fortifying Jupiter's market position, and cultivating a safer, more robust trading environment.
Omer Goldberg
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Introducing Aave's Chaos Labs Risk Oracles
In the fast-paced and volatile environment of DeFi, managing risk parameters across Aave's extensive network—spanning over ten deployments, hundreds of markets, and thousands of variables such as Supply and Borrow Caps, Liquidation Thresholds, Loan-to-Value ratios, Liquidation Bonuses, Interest Rates, and Debt Ceilings—has evolved into a critical, yet resource-intensive, full-time endeavor. Chaos Labs aims to streamline this paradigm by integrating Risk Oracles to automate and optimize the risk management process, achieving scalability and near-real-time risk adjustment capabilities.
Omer Goldberg
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