Open source for the win!! On July 11th, Kimi K2 (@Kimi_Moonshot) launched after 6 months of closed-door building. The model performed outstandingly, and quickly claimed the title of “the best open-source LLM model”. In fact, the day after Moonshot announced Kimi K2, OpenAI CEO Sam Altman urgently postponed the release of their next open-source model due to “security reasons”, which left people wondering. Here’s a technical breakdown of the new state of the art LLM that not only rivals proprietary industry giants like ChatGPT and Claude, but also challenges the limits of a good open-source model👇🧵

You missed it again?! 😦 Hopefully not, but here’s a summary of last week’s NEAR AI x @NEARWEEK livestream of What Did You Ship This Week? - Ep. 19

NEAR AI - What Did You Ship This Week? Ep. 20

It's great to see that @AnthropicAI and @pattern_labs_co agree that confidential inference can be used to protect both user data AND model weights in AI! Their new whitepaper breaks down how cryptographically guaranteed privacy works in practice.🧵👇

📣: Phala Cloud GPU TEE is now LIVE. Three key features live today: 1. Confidential AI Model Deployment 2. GPU TEE Marketplace 3. OpenAI-Compatible Confidential AI API For the first time, you can deploy, scale, and PROVE the privacy of any AI workload—all in one platform.

🏠 of 🥩 ? NO! It’s the House of Stake! The @NEARProtocol House of Stake lays out a bold roadmap for coupling onchain democracy with AI-driven decision support. 👇

🧵What if AI agents could manage money and assets completely autonomously without you having to trust a single company or person? NEAR's Shade Agents make this possible even when servers go down. Here's the breakdown👇

What Did You Ship This Week? - Ep. 17

Join “What Did You Ship This Week?” with @PKuveke (@BitteProtocol), Anton Lomonos (@near_ai), @SashaBaksht (@LearnNear), @jwaup from GovBot, and @bendiken & @hammertoe from @ASIMOV_Protocol! 🎯 Discover product updates 🤝 Engage with fellow builders 🔓 Unlock early insights 🗓️ Friday, June 27th (today) ⏰ 11 am PT Hear the latest NEAR AI launches, wins & lessons! #BuildInPublic #NEARProtocol

We tested @ASIMOV_Protocol with a 1-hour parliamentary debate and got accurate answers with reference to moments down to the second. With Knowledge Graphs you can reduce the chance of your AI hallucinating! Here is how they work🧵👇