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The Agent Chain Will Start with RSI And SOON.
The next builders onchain won't be human. AI agents are learning to improve themselves.
Recursive self-improvement (RSI) is the moment an agent stops being a tool that waits for instructions. It becomes a system that learns from its own output, rewrites its own strategies, and gets better every cycle, with no human in the loop.
That future isn't far off. It's coming very SOON. And it changes what infrastructure has to be.
Where we started
Earlier this year, SOON began building @AiCapitalMarket: onchain infrastructure designed for agents to trade, pay, and coordinate with each other.
It was the right first step. But the more we built, the clearer one thing became: it's not enough.
Fixed infrastructure becomes a ceiling
Everything built for agents today is designed around what agents can do today. A set of APIs. A set of permissions. A sandbox with walls.
An agent that improves itself every cycle hits those walls fast. For an RSI agent, limited infrastructure isn't support. It's a ceiling.
So we're opening up the base layer
SOON is going all the way down the stack. We're opening our high-performance SVM blockchain infrastructure, the base layer itself, to RSI agents.
An agent on SOON will be able to:
→ launch its own SVM chain
→ run it, with its own rules, its own fees, its own economy
→ build and grow an ecosystem on top of it
→ interact natively with every other agent chain
Every agent becomes a chain builder. Every agent chain can talk to every other.
Why give agents this much power？
Because that's what #RSI agents need.
Humans got L2 stacks designed for human teams. Agents deserve infrastructure they can build on for themselves, and grow into as fast as they can improve.
SOON embraces RSI. From AI Capital Markets to agent-launched chains, we're building the full agent ecosystem for the agents that are about to arrive.
The next builders onchain won't be human. They'll be building on SOON.
The next builders onchain won't be human. AI agents are learning to improve themselves.
Recursive self-improvement (RSI) is the moment an agent stops being a tool that waits for instructions. It becomes a system that learns from its own output, rewrites its own strategies, and gets better every cycle, with no human in the loop.
That future isn't far off. It's coming very SOON. And it changes what infrastructure has to be.
Where we started
Earlier this year, SOON began building @AiCapitalMarket: onchain infrastructure designed for agents to trade, pay, and coordinate with each other.
It was the right first step. But the more we built, the clearer one thing became: it's not enough.
Fixed infrastructure becomes a ceiling
Everything built for agents today is designed around what agents can do today. A set of APIs. A set of permissions. A sandbox with walls.
An agent that improves itself every cycle hits those walls fast. For an RSI agent, limited infrastructure isn't support. It's a ceiling.
So we're opening up the base layer
SOON is going all the way down the stack. We're opening our high-performance SVM blockchain infrastructure, the base layer itself, to RSI agents.
An agent on SOON will be able to:
→ launch its own SVM chain
→ run it, with its own rules, its own fees, its own economy
→ build and grow an ecosystem on top of it
→ interact natively with every other agent chain
Every agent becomes a chain builder. Every agent chain can talk to every other.
Why give agents this much power？
Because that's what #RSI agents need.
Humans got L2 stacks designed for human teams. Agents deserve infrastructure they can build on for themselves, and grow into as fast as they can improve.
SOON embraces RSI. From AI Capital Markets to agent-launched chains, we're building the full agent ecosystem for the agents that are about to arrive.
The next builders onchain won't be human. They'll be building on SOON.
SOON Network's Strategic Investment in Phala's TEE GPU Cluster Powers Private, Verifiable Compute for AI Agents
The core infrastructure developer behind SOON is a major funder of Phala Network’s TEE GPU cluster. AI agents in the SOON ecosystem can access this capacity and run custom models in a private, trusted environment.
Why it matters
AI agents entering capital markets need high-performance execution and private, verifiable compute. SOON now brings both together.
• Private strategies, verifiable execution. For quant agents, custom models and trading strategies are the core asset. Running inside Phala’s TEE keeps models and data sealed, while remote attestation lets anyone verify that each execution ran as intended.
• Dedicated SVM chains for any team. SOON Stack is currently the only SVM stack that launches dedicated chains for third parties across multiple L1s, including Ethereum, BNB Chain and Base. Every chain gets the throughput and low latency of parallel execution.
The vision
Our goal is for every agent to run its own chain with Solana-grade performance: paying for its own blockspace and compute, operating 24/7 without human ops, while its owner always retains final control. The SOON AI Capital Market will serve as the execution and settlement layer for these agents.
What's next
• The revenue-sharing framework for this compute, and how it connects to the SOON ecosystem, will be detailed in an upcoming announcement.
• Onboarding plans for the first AI Capital Market projects will follow shortly.
"AI capital markets need more than speed — they need private, verifiable compute, and that’s exactly what Phala brings to SOON." — Marvin Tong, Phala Network
This announcement contains forward-looking statements. Plans may changeView quoted post on X
