. @Kimi_Moonshot K2.6 and @Alibaba_Qwen 3.6 Max are now onboarded on ZetaChain. The model layer is moving fast. The memory layer is just getting started. ZetaChain enables: - Model-agnostic memory - Persistent user context - Private, user-owned data Continuous intelligence starts here. #AI# #AIMemory# #ZetaChain# #Qwen# #Kimi# #DecentralizedAI# #PortableMemory#

"Take Back Your AI Memory" campaign is officially a wrap - big shoutout to the winners! 🧠✨ We’ve officially sent out congratulations emails and distributed rewards to our: 🏎️ Early Participants 🏆 Top Referrers 🛡️ Content Creators Congratulations to everyone! We are incredibly grateful for the passion you’ve shown in testing the limits of portable AI memory. For our Best Content winners - you should have received your congratulation email. Please slide into my DMs with the email screenshot, and I’ll send over your exclusive promo code for your Anuma Pro Premium Access. This is just the beginning of portable, user-owned AI memory - appreciate everyone who showed up early and helped push this movement forward. Let’s keep that momentum going: the future of this is being built by this community, and we want you right there with us as we continue to push boundaries. Stay tuned, keep building, and let’s keep taking back our memory. 🧠 #ZetaChain# #Anuma# #DecentralizedAI# #Web3# #TakeBackYourMemory#

The future of AI isn't just about the model - it’s about the memory. 🧠✨ We are excited to announce that new model from @Openai GPT-5.5 is now integrated into the ZetaChain ecosystem! Experience the convenience of a persistent, user-owned memory layer that integrates fluidly with every AI model. ✅ Multi-model support ✅ Private & Decentralized ✅ Consistent memory across models Stop switching and losing context. Start building with a universal memory layer on ZetaChain. #ZetaChain# #GPT5# #AI# #DecentralizedAI# #Web3Innovation# #OpenAI#

🇭🇰 The Scaling Summit HK 2026 | Session Recap Host: @499_DAO × City University of Hong Kong Co-host: @0G_labs × OpenSchool x IDM of CityU Special Partner: @BAI_AGI x @hetu_protoco 📌 Topic: Engineering the Lifecycle of On-Chain Agents Engineering the mind of an on-chain agent. 🧠 This fireside chat unpacked the complex lifecycle of on-chain AI, focusing on how decentralized networks can power fully autonomous worlds without compromising scale. 🎙️ Speakers: ▪️ @michaelh_0g, CEO & Co-Founder of @0G_labs ▪️ @sal_hotpot666, Core Contributor at @virtuals_io #TheScalingSummit# #AutonomousWorlds# #DecentralizedAI#

Decentralized AI should be invisible users should send a request and receive the result at a clear price, latency, and service level everything else should happen in the backend this is why i’m watching projects that hide decentralized infrastructure behind familiar products: - @ambient_xyz routes @OpenRouter requests across independent miners, checks outputs, penalizes failures, and reruns jobs when necessary. At one point, it processed more than 20B Kimi K2.7 Code tokens per day - @engyai offers an OpenAI-compatible gateway backed by distributed compute. Its @Alibaba_Qwen traffic has exceeded 20B tokens on several days - @OpenGradient lets users choose between signed execution, TEE attestations, and ZKML without changing the basic inference experience - @NEARProtocol AI uses hardware attestations to verify that an approved model ran inside a confidential environment - @darkbloomai routes encrypted requests to independently operated and hardware-verified machines i also see early progress beyond inference: - @Pluralis distributed RL rollouts across 14 Macs in 4 countries while one B200 updated the model - @opentensor supports subnets with various usecases for modern AI infra - @Pareton_ai rewards inference-engine improvements only when they reduce GPU time without weakening quality or breaking the SLA a decentralized network only works commercially if lower compute costs outweigh coordination overhead, failed attempts, and weaker service quality most enterprises will not send sensitive info to unknown operators for a small cost reduction blockchain only earns a role if it improves open access, reputation, collateral, verification, or settlement a token only earns value if the network actually needs it for fees, collateral, settlement, or ownership of the economics i think decentralized AI will not replace centralized cloud infra a hybrid model looks more realistic, customers use an accountable service while portable workloads are routed across independent suppliers behind the interface

THIS DECENTRALIZED AI NETWORK JUST SERVED 57 MILLION REQUESTS IN A SINGLE MONTH @x402_Layer Singularity Layer served 57 MILLION requests in August across its growing ecosystem of tools and platforms, used by both humans and AI agents. - 62K unique visitors - 9.31M website requests - 47.90M server requests - All generated across Singularity's combined tools and platforms

AIX is a decentralized AI compute network Its mission is simple： Make GPU compute accessible, efficient, and scalable Instead of GPUs sitting idle in data centers, AIX turns them into productive compute assets #AIX#

AIX is building a decentralized AI computing network Over 50 global nodes 5 megapixel computing power GPU utilization up to 42% The goal is simple: To make computing more efficient, more convenient, and more scalable #AIX# #AI# #GPU#

Coming soon: $DGAI @dgrid_ai is a decentralized AI inference network built on a distributed node architecture, connecting model providers, node operators and developers through on-chain verification. Trading starts Aug 24 Get ready →