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.

$28.24M traded on 100xSOON in the first 24 hours. Not just humans clicking long and short. AI agents can plug in via MCP, pay via x402, and trade crypto, stocks and metals — all in $SOON. - Up to 10,000x leverage. - 30s settlement. - 80% of revenue → buyback & burn $SOON. This is what agent-native trading looks like.

The ticker is solana:4eDf52YYzL6i6gbZ6FXqrLUPXbtP61f1gPSFM66M4XHe

What are you talking about? $SOON

Something big is coming very SOOOON. Maybe tomorrow. SOON is launching an agent perpetual trading platform: → Built for financial AI agents
→ High leverage
→ Agent-native via MCP: plug in, trade
→ $SOON only
→ Revenue goes to buyback & burn $SOON(What percentage?) Find out SOOOOON 🔴💊

We don't know what RSI will bring. Nobody does. Once agents can recursively improve themselves, the things they build, the markets they create, and the problems they solve may look nothing like what we can imagine today. What we do know is this: SOON is ready for it. The last invention In 1965, mathematician I. J. Good called the first ultraintelligent machine "the last invention that man need ever make." RSI is how we get there. An AI that improves itself, then uses that improvement to improve itself faster, crosses a line after which progress no longer moves at human speed. The bottleneck won't be AI Past that point, what holds AI back may not be AI itself, but the infrastructure we built for humans. Human speed, human approvals, shared environments, and someone always there to click "confirm." An RSI agent only needs room. Give it enough compute and infrastructure without a ceiling. Then leave the rest to AI. Built to accelerate RSI SOON gives agents two things infrastructure built for humans can't: → a fully sovereign SVM chain they launch and run on their own terms → a fully private hardware environment through Phala's TEE GPUs Space to execute. Space to think. An economy we can't predict Together, they make possible an economy run entirely by sovereign RSI agents. What emerges from it, we can't say. What we can say is where it runs. Every agent chain, every block, every compute cycle runs on SOON, and flows back to $SOON. We don't know what RSI will build. We know it will build on SOON.

An agent that runs its own chain is holding a lot of secrets. Think about what an RSI agent actually touches when it launches and operates a chain on SOON: → the private keys that control its treasury and its chain → the model weights and data that make it good at what it does → the strategies it trades with and the logic it prices with → its counterparties, its budgets, its upgrade plans → the data of every user and agent that interacts with it That's the entire life of an agent. Today's AI stack was not built for this. Models run on shared cloud machines, where whoever operates the hardware can see what's running. Prompts, context, and outputs pass through systems the agent doesn't control. That's tolerable for a chatbot. It's not tolerable for an agent that holds keys, manages capital, and runs its own economy. If an agent's logic can be seen, it can be copied. If its strategy can be seen, it can be front-run. If its keys can be seen, it can be drained. Privacy is security That's why we backed Phala's TEE GPU Cluster. With Phala's TEEs, an agent's models, data, and strategies run inside hardware-isolated enclaves that not even the machine operator can see into. Remote attestation lets anyone verify what code is running, without seeing what it's working on. Private, and verifiable. Sovereignty requires privacy An agent that owns its chain but runs on compute someone else can read isn't sovereign. It's exposed. Sovereign AI needs both: → its own chain: a dedicated SVM chain on @soon_svm → its own private compute: TEE GPU compute through @PhalaNetwork Sovereign AI will be private AI. SOON × Phala is building it.

We're excited to share that SOON has invested in @PhalaNetwork 's compute infrastructure and is now its major investor. This is a core piece of the infrastructure we're building for the agent blockchain. Here's why. Finance is moving onchain, and agents will follow Crypto has always been inseparable from finance. Now the rest of finance is joining. RWAs are one of the strongest trends in the market, and Robinhood is bringing US equities onchain at scale. That process is only going to accelerate. When capital moves onchain, financial agents follow. Agents that trade, hedge, rebalance, and manage risk around the clock will become some of the most active participants onchain. Financial agents need privacy Finance runs on confidentiality. Trading strategies, positions, counterparties, proprietary models: none of it can operate in public view. That's where Phala comes in. Phala's privacy computing, built on TEEs (Trusted Execution Environments), lets agents run sensitive logic inside hardware-isolated enclaves, with results that can be verified without exposing what's inside. For financial agents, that's a level of privacy that has never existed onchain before. Compute for agents that launch their own chains It goes further. As RSI agents start launching and operating their own SVM chains on SOON, they'll need compute to run, learn, and improve. SOON will allocate part of our Phala compute to agents launching chains, so they can build and operate from day one. An essential piece of the SOON stack SVM chains that agents launch themselves. Private, verifiable compute to power them. Agents that keep getting better. In the RSI era, Phala is an essential part of how SOON builds for agents. And we're just getting started. Accelerate.

Why SOON is In The Right Place for RSI Agents？ OP and Arbitrum built chain factories for humans. SOON is building one for agents. Look at what the OP Stack and Arbitrum have done. They turned L2 infrastructure into a factory for chains. Base runs on the OP Stack. Robinhood Chain runs on Arbitrum. Those chains brought massive value, millions of users, and real revenue back to the stacks that made them possible. That's the proof: the stack that other chains are built on captures enormous value. EVM is built for human teams The EVM L2 model assumes a human organization behind every chain. A company decides to launch. It hires a team, runs the infrastructure, bootstraps users, markets the product. Launching a chain is a months-long business decision. The next wave of onchain activity won't be driven by humans clicking buttons. It will be driven by agents, and agents will vastly outnumber human users. They don't sleep. They transact continuously, in parallel, at machine speed. They interact with each other far more than they interact with us. That's a fundamentally different load. It needs a fundamentally different base layer. Why SOON sits in exactly the right place for the age of RSI agents? SOON is an SVM-based L2 stack. Parallel execution and high throughput are built into its core, which is exactly what large-scale agent-to-agent interaction demands. And we're pushing hard in two directions: 1. Agents launching their own chains. An RSI agent should be able to spin up and operate its own SVM chain as easily as it calls an API. 2. Agents interacting with chains. Trading, paying, and coordinating across chains natively, with no human in the loop. Where the value goes? Every chain launched and every transaction driven by agents on SOON infrastructure flows back into $SOON through buybacks and burns. The more the agent economy grows, the more $SOON is removed from circulation. That makes $SOON the growth engine of the entire agent blockchain economy. Now scale it OP and Arbitrum nurtured an ecosystem of chains built by human teams, and look how much value that created. Now imagine the same model when the chain builders are agents. Not dozens of chains. Potentially thousands, each launched, operated, and grown by agents that keep getting better. That's the opportunity SOON is built for.

.@AiCapitalMarket rests on three essential pillars, and SOON now brings all three together. •Independent SVM chain ecosystems. Every agent needs its own execution environment, not a shared queue. SOON Stack is currently the only SVM stack that launches dedicated chains for third parties across multiple L1s, giving each agent ecosystem the throughput and low latency of parallel execution. •Dedicated compute. Agents run their own custom models on dedicated TEE GPU capacity, rather than relying on third-party AI APIs they don't control. •Private environments. For quant agents, models and trading strategies are the core asset. Phala's TEE keeps them sealed, while remote attestation lets anyone verify that each execution ran as intended.

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 change