Robby @robccd
multi-faceted / marketing @chaos_labs The internet Joined May 2021-
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There's so much conversation around tokenization in mainstream finance circles increasingly but what goes unappreciated is that the innovation isn't just the tokenization, but in the risk infrastructure that makes these systems viable at scale. And now AI is accelerating that.
There's so much conversation around tokenization in mainstream finance circles increasingly but what goes unappreciated is that the innovation isn't just the tokenization, but in the risk infrastructure that makes these systems viable at scale. And now AI is accelerating that.
“If you’re not using a Risk Oracle, your risk operation is effectively managed manually.” From @aave lending to @pendle_fi fixed yield, our Risk Oracles provide automated, real-time risk management powered by AI signal extraction. Here's more from @omeragoldberg.
“If you’re not using a Risk Oracle, your risk operation is effectively managed manually.” From @aave lending to @pendle_fi fixed yield, our Risk Oracles provide automated, real-time risk management powered by AI signal extraction. Here's more from @omeragoldberg. https://t.co/E7Hm4G3ax9
1/ We are working with @aave Labs to build the risk infrastructure for Horizon, an institutional RWA lending market. Chaos Risk Oracles will power real-time parameter adjustments across interest rates, LTV ratios, and liquidation thresholds.
1/ We are working with @aave Labs to build the risk infrastructure for Horizon, an institutional RWA lending market. Chaos Risk Oracles will power real-time parameter adjustments across interest rates, LTV ratios, and liquidation thresholds. https://t.co/Xho57l4rs6
Protecting against DeFi hacks and exploits using AI, with Chaos Labs CEO Omer Goldberg x.com/i/broadcasts/1…
Hyperliquid’s XPL Blowup: What Happened and What It Means for Pre-Markets Last night, Hyperliquid’s pre-market for Plasma’s $XPL turned into a live stress test for DeFi. In just minutes, tens of millions in aggressive longs sent the token price soaring 3x, wiping out most of the…
Managing billions in DeFi TVL manually is not a legitimate option in today’s volatile and asymmetric markets. Real-time risk management is table stakes for onchain finance and institutional growth. Over the past 10 months, Chaos Oracles have delivered this for - @aave -…
Managing billions in DeFi TVL manually is not a legitimate option in today’s volatile and asymmetric markets. Real-time risk management is table stakes for onchain finance and institutional growth. Over the past 10 months, Chaos Oracles have delivered this for - @aave -…
Price feeds were DeFi 1.0. Risk Oracles are the next primitive. Proud of the team for taking this from idea → to securing ~10b in onchain value in production. Chaos Oracles are live with - @aave - @pendle_fi - @GMX_IO - @JupiterExchange and more. The next generation…
Price feeds were DeFi 1.0. Risk Oracles are the next primitive. Proud of the team for taking this from idea → to securing ~10b in onchain value in production. Chaos Oracles are live with - @aave - @pendle_fi - @GMX_IO - @JupiterExchange and more. The next generation…
Our research highlights risk watch points and does not give a verdict, even if the article title suggests otherwise. PT-collateralized USDe, diversified stablecoin debt, and liquid leverage create stabilizing flows. When yields compress, positions rebalance through debt swaps…
Our research highlights risk watch points and does not give a verdict, even if the article title suggests otherwise. PT-collateralized USDe, diversified stablecoin debt, and liquid leverage create stabilizing flows. When yields compress, positions rebalance through debt swaps…
"Building a great AI product means first building a great product." @omeragoldberg on why AI prototypes rarely reach production and how Chaos AI is built for finance, where hallucinations aren’t an option. Join the waitlist: chaoslabs.xyz/ai
"Building a great AI product means first building a great product." @omeragoldberg on why AI prototypes rarely reach production and how Chaos AI is built for finance, where hallucinations aren’t an option. Join the waitlist: chaoslabs.xyz/ai
AI is the best demoware ever invented. You can hack something in a weekend, post a screen share, and go viral. But turning that into a product people trust is brutal. The first time users lose trust, they’re gone. The gap between demo and production is massive. For all the AI…
AI is the best demoware ever invented. You can hack something in a weekend, post a screen share, and go viral. But turning that into a product people trust is brutal. The first time users lose trust, they’re gone. The gap between demo and production is massive. For all the AI…
1/ We worked with the @pendle_fi team to build the risk stack for @boros_fi, the first onchain protocol for trading funding rates. This required new frameworks, including dynamic margin models, auto-deleveraging mechanics, and real-time risk monitoring.
1/ We worked with the @pendle_fi team to build the risk stack for @boros_fi, the first onchain protocol for trading funding rates. This required new frameworks, including dynamic margin models, auto-deleveraging mechanics, and real-time risk monitoring.
97% accuracy isn’t enough if a 3% failure can kill your business. @omeragoldberg and @ilblackdragon (@NEARProtocol) explore why verifiable data trails are essential for protocols where inputs from prices, models, or APIs introduce outsized risk.
The next step beyond DeFi is here. @diogomonica (GP at @HaunVentures) and our CEO @omeragoldberg explore generative finance, where language turns into code and code turns into financial products.
The next step beyond DeFi is here. @diogomonica (GP at @HaunVentures) and our CEO @omeragoldberg explore generative finance, where language turns into code and code turns into financial products.
TLDR: Your LLM isn't broken. Your search is. Context engineering is the key to building high-precision AI agents. Check out our breakdown of why generic RAG fails and how domain-specific search unlocks real performance.
TLDR: Your LLM isn't broken. Your search is. Context engineering is the key to building high-precision AI agents. Check out our breakdown of why generic RAG fails and how domain-specific search unlocks real performance. https://t.co/4sS0OsXCyy
Everyone's obsessed with bigger LLMs and prompts. But our insight in building AI systems for billion-dollar protocols is simple: Your AI is only as good as your search. So we built Chaos Search. Part 1 of a series exploring how we built a SoTA financial search for agents 👇
Everyone's obsessed with bigger LLMs and prompts. But our insight in building AI systems for billion-dollar protocols is simple: Your AI is only as good as your search. So we built Chaos Search. Part 1 of a series exploring how we built a SoTA financial search for agents 👇 https://t.co/Pc9bZu9dqi
Another great piece of research we put together with the brilliant team at @chaos_labs. Grateful to be part of such a thoughtful and sharp group of minds
Another great piece of research we put together with the brilliant team at @chaos_labs. Grateful to be part of such a thoughtful and sharp group of minds
You can’t build a truth-seeking AI if you can’t trace where the truth came from. Model bias is a training, tuning, and real time search problem. For models, agents, and RAG systems, provenance is mandatory. No source tracing means no credibility. No lineage means no trust.
You can’t build a truth-seeking AI if you can’t trace where the truth came from. Model bias is a training, tuning, and real time search problem. For models, agents, and RAG systems, provenance is mandatory. No source tracing means no credibility. No lineage means no trust.
Great AI x crypto convo with @ilblackdragon. AI 'Scaling laws' are intriguing, but this isn't Moore's law in hardware. Progress is far less predictable. Domain-specific RL will be the next step function. We're seeing its impact internally. Excited to share more soon.
Great AI x crypto convo with @ilblackdragon. AI 'Scaling laws' are intriguing, but this isn't Moore's law in hardware. Progress is far less predictable. Domain-specific RL will be the next step function. We're seeing its impact internally. Excited to share more soon.

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Governor Newsom Press... @GovPressOffice
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