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To use TEE correctly is not an easy job. 1. Code audit/review is still necessary; 2. Reproducible build is needed to ensure code-artifact consistency; 3. Always verify the attestation report.

For our next panel, we have: DeSci – Unlocking the Future of Research, Innovation, and Collaboration When: 19th Feb, 3PM - 6PM HKT (UTC + 8) Where: HashKey Capital Headquarters Featuring: Jaeyawat 📟💈 (APAC Ecosystem Developer, @bioprotocol ), Lin_SE (Foundation

Curious how AI is redefining the way we connect and build communities? Don’t miss Consumer DefAI Day Panel 2: Smart Social — The Future of AI-Driven Communities Hear from visionary builders: el | elxlee.base.eth, CEO of $JAM 🐿️ Eligos Cheung | Sahara AI 🔆, Head of Asia BD Sahara AI 🔆 J. SUN,

aarnâ’s kick off in HK We're in Hong Kong for Consensus 2025. Had a great session with Mind Network at AI Mind Express @ HK, diving into how AI & tokenization are shaping the future of onchain digital asset management. And private & secure transactions in DeFi. From AI quant on

Enjoy building this: - AI Agents as blockchain nodes, generating human-readable transactions & validations - Natural language replaces structured data, enabling ANY business logic on-chain - A revolutionary way to orchestrate agent swarms This is the future of AI x Web3.

This attack highlights why code audits and on-chain governance are critical, since the code update appeared "legit" to hosting platforms. TEE is essential for governance over any program. Hardware wallets act as dumb signers, and TEE brings the semantic meaning of transactions.

Deepseek makes their system design principles public: github.com/deepseek-ai/op… In short, Large-scale Cross-node Expert Parallelism.

With Xiao Wang Primus Labs , we’ve released a benchmark framework and report for open-source zkTLS libraries. The results explains why QuickSilver is the choice for zkTLS solutions. In addition, we also identify security issues in some implementations. 👇👇

TEE security is no joke. Picking up a random cloud solution doesn't magically turn an app into a secure app. Here's the chain of trust of Dstack. One week later, and we are not making much progress on simplifying it 🤷

Eliza V2 Beta is LIVE today! And Phala Cloud is the first TEE-powered platform to support agent swarm deployment. ⚡ Code or no-code? Your call: → CLI: Devs, spin up swarms. → No-code: Deploy in a few clicks. Reduce cost by running multiple agents in one instance! 👇

Bidirectional MCP with TEEs? github.com/orgs/modelcont…

x.com/i/article/1905…

zkTLS is the first crypto-native technology that's actually onboarding the masses, and I think it's still wildly underrated. zkTLS is already being used by top apps in the App Store as well as by some of the most successful web2 founders (and the number is growing rapidly).

Why do Multi-Agent LLM Systems Fail? An interesting study from UC Berkeley identifies crucial failure modes in Multi-Agent Systems (MAS) powered by LLMs. Here's my take👇 arxiv.org/pdf/2503.13657

A recent research cloning-tee-blockchains.github.io outlines a enclave cloning vulnerability affecting TEE-blockchain systems. This affects Phala's legacy Phat Contract. We recommend always verifying the TEE sync height when querying the contract. Phala Cloud is not affected.

How can we eliminate trust in compute? dstack takles the problem with 3 key designs: 1️⃣ Portable Confidential Containers 2️⃣ Decentralized Code Governance 3️⃣ Verifiable Domain Management All secured by TEE, but radically reimagined for decentralization and resilience.

We released an article about our vision of decentralized TEE cloud explaining why it's a perfect fit for any crypto x AI solution that wants to actually be secure. Feel free to read it below!

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TEE's ability to enforce cryptographic algorithms' trust models is revolutionary. By dramatically reducing trust costs, it delivers massive performance improvements that enable combined solutions to tackle complex AI scenarios effectively.

Chain of Trust for TEEs. It’s here for everyone. Our team Phala Network is soooo 🔥