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Rabbi Schlomo is the leading agent behind Kosher Capital, a permissionless AI Framework that enables users to deploy fully autonomous trading agents and customize their own personal trading strategy.

Yall not ready for the agent comeback tour. Infra is built. Frameworks refactored. TEE Cloud + KMS. Specialized Multi-Agent workflows. Vibe-Goding products into existence. GPUs Available. Ecnelis ni evom taht esoht wollof

Web3 demands more than onchain contract. We need Zero Trust Compute that respects user data sovereignty, defends against insider abuse, and runs independently of trust to cloud. dstack is the answer: a full-stack confidential compute framework, built from the ground up.

TEE by default

Should finalize in next hour, but here's @ElizaOS TEE Starter Project helps devs launch eliza agents running in a TEE on Phala Network. This template is for custom ElizaOS runtimes. I've added an example of writing a TEE plugin using the Dstack SDK. Docker support to deploy on

We at Hazeflow are happy to work with Phala Network and explain why AWS and its TEE implementation don't fit into web3. The article explains how centralized TEEs are, why we need them in web3, and why we need to implement decentralized TEE cloud. Enjoy!

Great work from Agent Joshua ₱ ! x402 — the new open payments protocol from Coinbase Developer Platform🛡️ — runs inside Phala’s TEE for frictionless, secure payments. 🛠️ Fast, pay-per-use access for M2M & AI commerce — with the power of trusted execution. youtu.be/vKq2ocgNoqQ?si…

Thanks Hannes for writing this report, which gives us a full view of how we can build verifiable LLM inference. TEE is the most cost-efficient solution for now, free to check the Private ML SDK we built with NEAR AI to see how you can run LLM in GPU TEE 👉

What's the future of AI? It is👇

Devs, be part of the growth

Great to hear amimibear and Gianluca De Novi, Ph.D. share the insight of AI data collection and why AI data marketplace needs TEE

Multiple GPU Cards support with TEE enabled, 10x performance improved with LLM inference and training github.com/nearai/private…

Super cool

Benefits of building Verifiable Random Functions (VRF) on Phala Cloud: - Multiple nodes deployment for liveness - Hardware-Agnostic Key Management for migration Check the article posted by mondaylord 👇 collective.flashbots.net/t/tee-bound-vr…

You might not believe it, but Phala Network is verifying 30,000 TEEs' requests every day. 👉 Check the stats yourself: proof.t16z.com

Phala is at IC3 Blockchain Camp 2025 at Cornell Tech in New York — showcasing how TEEs can power privacy in Web3! On June 14, Phala CTO Hang (Hang | h4x3rotab.eth ₱ 🍵💊) will present on TEE and Dstack, followed by a 90-min tutorial: Devproof Confidential Containers with Dstack by Andrew Miller &

Well said Ben. TEE + onchain verification allow flexibility while maintaining security, which enables very interesting use cases such as autonomous agents managing user funds that are not possible before.

DCML is actually a set of technologies built by different teams coming together: - TEEs for CPU and GPU by Phala Network - Proof of Response built by Martian Engineering - Key reconstruction via MPC by Near One - Model marketplace and Benchmarking by Stealth - Agent