Can you trust an AI that runs on someone else's servers?

This Fri, 29th May at 2:30 PM UTC, Cluster Protocol is hosting Roundtable #3.

Your prompts, your data, your business logic, all hitting infrastructure you don't control. We're unpacking what that actually means for builders, users, and the future of AI infra.

Top 10 questions win $10 each from a $100 pool.

🔹Follow Cluster Protocol & LLMTune.io,
🔹Drop your best question about AI trust and infrastructure below along with your EVM wallet address and
🔹Tag 3 of your frens in the comments.

ft.
~ Saad Alenezi, Founder & CEO, LLMTune.io
~ Sagar, Founder, HeyAnna
~ Maurice, Head of Spaces, AlphaWire
~ Cantzzx, BD Head, Nebulai
~ Mike Gault, CEO, Unicity
~ Pratik, CTO & Co-founder, NodeOps Network
~ Goku, Digital Marketing Lead, ENI
~ Lucas Martin Calderon, Founder & CEO, kash
~ CryptoΞmpress, CMO, ComplyOnce
~ Myo, CMO, GamePad

🔗 Space Link 👇🏻

https://twitter.com/i/spaces/1yKAPPmmwPbxb

Don't miss!

Most AI teams can't tell you exactly what their model was trained on, and that's not a knowledge gap, it's an infrastructure one.

Hugging Face solved data access brilliantly, getting datasets in front of researchers at scale when that was the right problem to solve.

The next problem is verifiability, not just where the data came from but who verified it and whether you can trace what actually shaped your model.

Read more here on how Cluster Protocol's private AI infra stack is built around this.

Cluster Protocol whitepaper is LIVE.

The private AI infrastructure layer, fully documented. How identity, payments, inference, and orchestration come together on Base.

Dive in: https://x.com/ClusterProtocol/status/2061784291588403430

The Slither Audited Smart Contracts dataset is live on Cluster Protocol.

467K Solidity contracts verified on Etherscan, each carrying source code, deployed bytecode, and vulnerability classifications from the Slither static analysis framework. Train/test/validation splits are already structured.

You can download it and start fine-tuning today.

Read more on what this actually enables.

Cluster Roundtable: "Who actually owns the data that trained the AI you're using?"

Every model you interact with was trained on something: scraped websites, licensed datasets, maybe even your own content.

But who owns that data, who profits from it, and who gets to decide how it's used? We're breaking it all down.

ft.

~ Fehmi, CSO, VS1
~ Maheen Sajjad, Tech Lead Inflectiv AI
~ Mr Potato, Community Coordinator NEAR Protocol
~ Nandit Mehra, Founder & CEO Lighthouse
~ Jordan, COO MoonWhale
~ Pratik Balar, CTO & Co-founder NodeOps Network
~ Mauri, Growth Manager ANT.FUN
~ Arjun Kalsy, Chief of Growth Covalent
~ Eniitan, Community Manager, manadia
~ Myo, CMO GamePad
~ Lucas, Founder & CEO kash
~ Zakaria, COO LLMTune.io

🗓5th June | 2:30 PM UTC | X Spaces

https://twitter.com/i/spaces/1pJkOOagkXNJj

Set your reminders now!

Cluster Protocol's May 2026 Recap

May was CodeXero's month.

• CodeXero v2 is live on Base, fully onchain, build from your browser, deploy to mainnet, earn XP.
• Tracks launched, always-on mini hackathons open to vibe coders, creators, and literally everyone.
• $2,000 USDC creator campaign to put v2 in front of the world.
• Real apps shipped on it, Fairy Drop (a campaign platform built in a weekend) and AnonWall (an anonymous, immutable notebook built just by chatting with AI).
• Ecosystem partnerships: Cwallet, InsightX, UXLINK.
• Roundtables: Agentic AI, open-source AI, and AI sovereignty.

Ship the product, fund the creators, let the builders prove it.

That was May. Full breakdown: every launch, partnership, and link in one place

Wallet data is no longer just analytics.

It is becoming the intelligence layer behind smarter onboarding, better targeting, stronger user conversion, and revenue-focused Web3 agents.

Join us for an AMA with @ChainAware_ai as we explore:

From Wallet Intelligence to Revenue: The Rise of Web3 Growth Agents

We’ll discuss wallet-aware AI agents, predictive user insights, onchain targeting, and how ChainAware is helping builders turn onchain intelligence into real business outcomes.

📆 11th of June | 2:30 PM UTC

🔗 Space Link ⬇️

https://twitter.com/i/spaces/1nJOLLzYrlqxR

Don't miss!

DeepSeek R1 0528 is now live on Private AI inference Infrastructure of Cluster Protocol.

Run a reasoning model on sensitive data without exposing it to anyone.

Your inputs remain within a hardware-level Trusted Execution Environment throughout the entire inference process.

Smart contract audits, private financial analysis, confidential agent workflows, all of it, privately.

Try it at hub.clusterprotocol.ai/models

Claude Fable 5 is INSANE 🤯

So we asked it to build the perfect private AI infrastructure, where:

→ 500+ open models run behind a single API, not one company's black box
→ An open data marketplace
→ You fine-tune and serve models on decentralized GPU compute
→ Agents pay per call in USDC via x402
→ Every model, dataset, and payment settles on Base

It failed.

Luckily, we've spent years building exactly that.

Private Inference. Data. Compute. Settlement. One private AI infrastructure layer. Cluster Protocol.

Cluster Roundtable #5: “The last mile of DeFi: why intents work better when AI handles the decision layer”

DeFi has powerful rails, but most users still have to make every decision manually.

Where to route liquidity.
Which action to take.
When to execute.
How to avoid a bad trade, bridge, vault, or strategy.

Intents let users express the outcomes they want, while AI handles the decision layer behind the scenes, making DeFi simpler and more efficient.

We’re breaking down why this combination could be the real last-mile unlock for DeFi.

ft.

~ NUEL, BD Head, 4AIBSC
~ Eniitan, Community Manager, manadia
~ Arjun Kalsy, Chief of Growth, Covalent
~ Myo, CMO, GamePad
~ Cantzzx, BD Head, Nebulai
~ Fehmi, CSO, VS1
~ Akshit Ostwal, Co-founder, Epoch

12th June | Friday | 2:30 PM UTC | X Spaces

Link below ⬇️

https://twitter.com/i/spaces/1AGRnnLLYNyGl

Set your reminders now.

Cluster x ATT

ATT runs the world's first DA-AIOT-P advertising network, tokenized LED screens across HK, SEA, Japan, Korea, and Europe, with onchain settlement and an AIGV model turning physical impressions into commercial intelligence.

Cluster becomes the AI and payment layer underneath it.

Three lanes:

~ Cluster inference powering the AIGV model.
~ x402 server for per-call USDC settlement from edge devices.
~ CodeXero as the on-ramp for ATT's Web2 advertisers shipping campaigns onchain.

Full breakdown:

https://www.clusterprotocol.ai/blog/cluster-x-att-global-the-ai-and-payments-layer-for-onchain-advertising-1781289811

All week we have been showing you what Private AI inference looks like in practice.

Tomorrow, you will see who makes it possible.

Cluster Protocol is now Top 5 on Base.

300K+ wallets and 25K+ dApps deployed through CodeXero, now ranked among the most popular apps on the network.

The orchestration layer for autonomous workflows, live where builders already are.

There's never been a better time to Build on Base.

There's a reason you don't paste your bank statements into a chatbot.

Now you don't have to think twice.

Cluster x Phala: private inference on the models you already use, DeepSeek, Qwen, GLM, MiniMax, running sealed inside TEE hardware. Your prompt is invisible to everyone in the path. Including us.

Every call returns a signed attestation, proof your data never left the enclave.

You don't have to take our word for it. The hardware proves it.

Full breakdown ⬇️

Deep dive on verifiable private AI inference.

GLM 5.1 is now live on Cluster Protocol's Private AI inference infrastructure, powered by Phala TEE.

ZhipuAI's most advanced model, running inside a hardware-level Trusted Execution Environment. Enterprise-grade reasoning with hardware-level privacy guarantees.

Your inputs never leave the secure enclave.

Try it at http://hub.clusterprotocol.ai/models

Your AI agent just paid for something. you did not approve it.

Cluster roundtable #6: what happens when AI agents start spending money on their own?

Agents with wallets are buying compute, data, and settling transactions with no human in the loop. we put the people building those rails in one room to argue about what breaks and who gets automated.

🎙️ hosted by YJ, chief, Cluster Protocol

ft.
~ Phong Nguyen Dang, head of BD, InFlow
~ George, strategic partnerships, 0G Labs
~ Fehmi, CSO, VS1
~ Parul Gujral, founder, Snowball Money
~ David, cofounder, Inflectiv AI
~ Shivang Kamboj, head of growth, Lighthouse
~ Mukund Rawat, sr. backend and smart contracts dev, NodeOps
~ Arjun Kalsy, chief of growth, Covalent
~ Michael Stephen, community lead, Pulsar Money
~ Myo, CMO, GamePad
~ Eniitan, community manager, manadia

🗓 Fri, June 19 | 2:30 PM UTC
🔗 Space link ⬇️

https://twitter.com/i/spaces/1nKOLLWjMgyGR

Set your reminders now!

MiniMax M2.5 is now live on Cluster Protocol's Private AI inference infrastructure, powered by Phala TEE.

Built for long context. MiniMax M2.5 handles extended inputs inside the TEE without compromising privacy at any point in the process.

Long documents, complex workflows, confidential data, all processed privately from start to finish.

Try it at hub.clusterprotocol.ai/models

Will the next billion-dollar product be built by someone who can't code?

Let's find out at our next roundtable session.

We are bringing together builders from across AI, data, and infra to break down what it actually takes to ship something big today.

🎙️ Hosted by: Anjali

ft.

~ Shivang Kamboj, Head of Growth, Lighthouse
~ Arjun Kalsy, Chief of Growth, Covalent
~ Azibi, Community Manager, DataVLT
~ Mukund Rawat, Sr. Backend & Smart Contracts Dev, NodeOps
~ Zakaria Tchikadze, COO, LLMTune.io
~ Myo, CMO, GamePad
~ Advait, CSO, OpenGradient

🗓 Friday, June 26, 2:30 PM UTC

🔗 Space link below ⬇️

https://twitter.com/i/spaces/1PKqrrkzANdGb

Don't miss.

Three open protocols are turning isolated AI agents into a working economy: MCP to use tools, A2A to talk, x402 to settle.

Nobody owns the stack.

We broke down why that's the whole point, and where the value actually pools.

Full breakdown here at the Cluster blogs

Calling a model "open source" because you can use it is like calling a car open source because you can drive it.

The real question is whether you can open the hood.

Azibi from DataVLT on what openness at the model layer actually requires.