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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Gearbox LT Methodology
This methodology proposes a framework to derive liquidation thresholds (LT) and liquidation bonuses (LB) specifically for LSTs and LRTs on Gearbox, which are assets closely related to ETH. These tokens are fundamentally priced on Gearbox based on their intrinsic value as receipt tokens representing underlying staked or restaked ETH, when withdrawals are enabled. However, during periods of significant market volatility, LSTs and LRTs may temporarily deviate from their fundamental ETH value in the open market due to factors such as liquidity constraints, market sentiment, and liquidation events.
Jupiter Risk Monitoring and Alerting Platform
Chaos Labs is thrilled to announce the launch of the Jupiter Risk Monitoring and Alerting platform. This advanced system provides comprehensive analytics and observability, offering the Jupiter community a gateway to abundant data and risk intelligence associated with the protocol, all under one unified platform. The platform is designed to help the Jupiter community get a deeper understanding of the protocol’s risk profile and overall health. With comprehensive analytics and observability features, the platform empowers users to make informed, strategic decisions. Users will have access to crucial asset data and detailed insights into usage patterns, trends, and real-time analysis, all designed to support high-level decision-making processes.
Omer Goldberg
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Chaos Labs Partners with ether.fi
Chaos Labs is thrilled to announce our strategic partnership with ether.fi, the number one restaking protocol in DeFi
Omer Goldberg
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Arbitrum STIP Risk Analysis | Case Study #3: Pendle Finance
Chaos Labs is pleased to share a blog post detailing our third case study for the Arbitrum Research & Development Committee (ARDC): Pendle Finance. This is the third and final case study of a three-part series that entails an in-depth analysis of the risk and efficiency of the Arbitrum STIP on three major protocols, the third of which is Pendle Finance. As requested by the DAO advocate for the ARDC, L2BEAT, Chaos Labs has been conducting case studies on STIP recipients. This case study provides an in-depth analysis of the Arbitrum STIP program’s impact on Pendle Finance, focusing on its efficiency and associated risks. This analysis is part of a broader series that evaluates the STIP program across three major protocols.
Omer Goldberg
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Chaos Labs Partners with Gearbox
Chaos Labs is excited to announce our strategic partnership with Gearbox Protocol, a DeFi leader known for its Credit Account abstraction that unifies lending and prime brokerage. This collaboration aims to pioneer risk management strategies and ensure the secure and resilient growth of the Gearbox ecosystem.
Omer Goldberg
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Arbitrum STIP Risk Analysis | Case Study #2: Silo Finance
Chaos Labs is pleased to share a blog post detailing our second case study for the Arbitrum Research & Development Committee (ARDC): Silo Finance. This is the second case study of a three-part series that entails an in-depth analysis of the risk and efficiency of the Arbitrum STIP on three major protocols, the second of which is Silo Finance. As requested by the DAO advocate for the ARDC, L2BEAT, Chaos Labs has been conducting case studies on STIP recipients. This case study provides an in-depth analysis of the Arbitrum STIP program’s impact on Silo Finance, focusing on its efficiency and associated risks. This analysis is part of a broader series that evaluates the STIP program across three major protocols.
Omer Goldberg
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Arbitrum STIP Risk Analysis | Case Study #1: Vertex
As part of our recent election as the Risk Member on the Arbitrum Research & Development Committee (ARDC), Chaos Labs is excited to share a blog post detailing our first case study for the ARDC: Vertex. This is the first case study of a three-part series that entails an in-depth analysis of the risk and efficiency of the Arbitrum STIP on three major protocols, the first of which is Vertex. As requested by the DAO advocate for the ARDC, L2BEAT, Chaos Labs has begun conducting case studies on STIP recipients. This case study provides an in-depth analysis of the Arbitrum STIP program’s impact on the Vertex Protocol, focusing on its efficiency and associated risks. This analysis is part of a broader series that evaluates the STIP program across three major protocols. We will begin by introducing the STIP program and giving an overview of Vertex, followed by our team's full case study.
Omer Goldberg
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