Chaos Vaults: AI-powered yield for institutions. Markets move 24/7. Vault management should too.
This launch is ** still human-centric **.
Humans set policies and execute, while Chaos AI handles monitoring / dynamic alerting.
However, the trajectory is clear:
Vault management will shift from monitoring the situation to defining intent.
Live today on @krakenfx@krakenpro DeFi Earn!
Financial search has been the highest-leverage work we've done for agent precision.
Example: "latest Kraken news" → Google returns the Seattle hockey team, and not the Kraken exchange.
Entity resolution is an obvious failure. In this article, we explore deeper ones like:
- historical queries
- computed state
- context collapse
- hallucinations
and more!
When vault yields don’t line up with 100+ years of asset class returns, the risk is being mispriced.
Part 1 of this series on Vault Risk aims to reset the mental model 👇
Control > Borrowed Security
Stripe and Circle launching L1s is just the start.
For years, the assumption was that enterprises would choose Ethereum, Solana, or another public L1 for their security. The fully decentralized future was the utopia we hoped for.
In reality, when I talk to large banks and fintechs, this is not what drives their decisions.
They are already regulated and audited. If they own the network, they see that as a stronger security guarantee. They choose the validators, control the upgrade process, and know exactly who is operating the infrastructure.
If something goes wrong, there is direct recourse. Enterprises are liable to their customers, and the business will take the hit if they act in bad faith.
And if you are moving trillions in stablecoin volume, no public network can offer meaningful economic security anyways.
If decentralization and economic security are not priorities, what's left?
Valid reasons to launch on a public L1 is distribution and DeFi interoperability. If you need that audience and those integrations, it can make sense. But for fintechs that simply want to move stablecoins, FX, or other RWAs faster and cheaper, and can bridge to other chains when necessary, owning the L1 eliminates value leakage and gives full control.
Oracles and interop messaging protocols will be critical in breaking the data silos between private enterprise chains, public networks, and the broader web. Oracles and bridging protocols will grow in their sophistication over the next years to meet the requirements of neobanks, fintechs, etc.
Decentralization will be a spectrum, will be interesting to see the distribution over time.
Build model on past posts a range of reply engagement. Create variables to isolate the factors that may lead to high engagement. Ex. of some factors: each contributor may have their own score of how engaging their responses typically are… this will naturally stack rank bots to the bottom and bring natural engagement up to the top.
Edge Oracles are now live on @gelatonetwork!
High-precision price data and integrated risk engines, accessible to all Gelato-powered rollups with just one click.
Edge Oracles are now live on @gelatonetwork!
High-precision price data and integrated risk engines, accessible to all Gelato-powered rollups with just one click.
Crypto promised transparency, delivered chaos (pun intended). We need systems that understand crypto's plumbing - from liquidity flows to system risks. Chaos has built specialized ML models that understand blockchain mechanics intricately. Think Bloomberg Terminal meets Skynet, for crypto.
@ChatGPTapp can write Shakespeare.
@cursor_ai can write code.
But neither can tell you if an onchain protocol is about to collapse.
Introducing AFI—the first AI built specifically for crypto finance.
Why vertical AI changes everything and what @chaoslabs is building towards 👇