Have you heard about a project building infrastructure that enables Web3 technology to blend seamlessly with Web2 applications?
It’s called @RialoHQ
🧵 🪡
In ten years, the best-performing fund manager will not be a person.
It will be an agent running on infrastructure capable of mathematically proving every trade executed.
The biggest barrier to agentic DeFi isn't liquidity, fees, or speed. It's the onboarding flow.
CAPTCHAs. Wallet popups. Email verification. Every step assumes a human is reading the screen.
Platforms that treat human verification as immovable won't be attacked. They just won't be chosen.
Agent-native protocols are not just faster chains. They are different chains.
The protocols that will host agentic finance in 2030 are being architected now.
1) Full end-to-end AI software automation is near.
At Nexus, we have the goal of achieving full end-to-end automation of our software production system by end of year. We are experimenting with this via a fast iteration closed-loop self-improving system. I think it's quite interesting, so I want to share publicly as I haven't seen too many engineering teams talk publicly about findings like this yet.
In our tests, each autonomous improvement cycle has the following structure:
- 1. Pre-planning: High-level architectural goals
- 2. Planning: Medium-level planning and spec authoring, including specs for all tests, benchmarks, regression tests, etc.
- 3. Execution: Full end-to-end agentic implementation cycle spanning 1-2hrs of autonomous work. This is the bulk of the productive session where the actual code is written, tested, and progressed.
- 4. Evaluation: Complete running of tests, benchmarks, telemetry and profiling of the post-execution state system
- 5. Retrospective: Thorough retrospective of the end-to-end run, including telemetry of the agent itself, such as cost, tokens used, times context limits were hit, etc.
- 6. Self-improvement: Reasoning based on execution metrics and meta-level metrics about the agentic system itself
The view below shows a 3D visualization of 29 generations of a self-improving codebase authored by our E2E automation system
Some of the outcomes that the Trifecta is designed to enable:
Permissionless perpetuals on power-law assets. Leveraged prediction markets with real margining. Atomic cross-primitive strategies in a single transaction.
The goal is a system where fundamental primitives compose at the protocol level.
✅Points accrual and claiming will be paused during the reset.
✅Any points earned from now until the reset will not carry over.
✅The points program will continue normally after the reset, including the ability to claim rewards.
Wait for further updates from @NexusLabs
Nexus @NexusLabs Testnet Reset Incoming.
Testnet Reset Ongoing. Here’s everything you need to know:
✅Test $NEX balances have already been recorded and will be transferred to the new testnet.
"What if FTX's reserves had been directly verifiable?"
@TigerResearch_xyz opens its new analysis of Nexus with a question that reframes the entire post-2022 conversation about onchain finance.
The full report just dropped. Here is what it argues:
@maggielove_ on the L1 story crypto Twitter is missing:
"You think some of these chains aren't doing stuff. They are building private stablecoins and piloting with huge banks."
"We might not see them at ETH Denver. But they're going to institutional conferences for sure."
Most L1s were built when proving a computation was computationally expensive.
That ceiling has moved.
What you build when the cryptography is no longer the bottleneck looks completely different.
The AI x crypto integrations are accelerating.
The question every builder should be asking:
Is the chain I'm building on designed for agents to run on autonomously, or am I wrapping human infrastructure with AI tooling?
The answer changes everything about how the system behaves under load.
"Agents will be doing most of our transactions. The chat box might be the last thing we ever look at."
"You give your agent a wallet, it goes off and does everything."
-- @maggielove_ on the next interface paradigm.
Every chain claims high throughput.
The question worth asking is how much of that throughput is actually provable.
Recording a computation and proving it ran correctly are different operations.
New Exponential episode:
@danielmcglynn sat down with @maggielove_ from @SheFiorg to talk about what it takes to build a developer community around agentic finance, and why the next wave of onchain builders looks different from the last one.
https://t.co/5StwvnNa83
The infrastructure question nobody was asking five years ago is being asked now.
Not "What can I do with a blockchain?"
But "What can an agent do with one?"
@LehighU's Hank Korth on Exponential EP30: