
DUKE 𓁣(Ø,G)
@m_g_d_3rd
DEGEN ARTIST......
ID: 1421386208274489351
31-07-2021 08:24:28
27,27K Tweet
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Three days ago I vouched to go hard on yapping about 0G Labs (Ø,G) - AI L1 this month but then I got hit with another warning from X Then it got me thinking 🤔 Is there a possibility where such issue could be mitigated with the use of 0G's tech?? Well guess what?...there is Let's talk 🧵👇


The future of crypto no go dey for chains wey dem design just for money. E go dey for chains wey dem create for intelligence! 0G Labs (Ø,G) - AI L1 no dey force AI ontop old system - dem dey build the real OS from scratch: ✓ 162M+ transactions don pass ✓ 2M+ daily txs dey run ✓ 88M



Most people are still ignorant to the fact that AI infrastructure isn't just another layer—it's the next trillion-dollar market. 0G Labs (Ø,G) - AI L1 testnet is already proving it: ⚡ 50Gbps throughput (no more bottlenecks) 🤖 10M+ AI ops/day (real-world scale) 💸 1/10th AWS cost (cloud

Why 0G Labs (Ø,G) - AI L1 dey important pass: Dem no dey just build AI infrastructure—dem dey create the real decentralized OS wey AI need for ground!" 🔐 PoRA-secured storage (provably strong) 🧠 zkML + TEEML (trustless computing) ⚡ Multi-consensus (scale anyhow you like) 🛡️ Shared staking


You see the reality is that Most chains exist in the hopes that developers come. Well 0G Labs (Ø,G) - AI L1 builds the runway for them. 🚀 Global Hackathons (50+ cities, 10K+ builders) 💡 Ecosystem Accelerator (funding + mentorship) 💰 Grants Program: •AI Agents •DeSci & DePIN


대부분의 체인은 AI 워크로드에 숨이 막힙니다. 0G Labs (Ø,G) - AI L1는 설계부터 승리를 준비했습니다: 🌪️ DA 레이어: 초당 50GB 처리량 (병목 현상 없음) 🔐 컴퓨팅: ZK + TEE (무신뢰 실행) 📦 스토리지: PoRA 보안 (검증 가능한 무결성) 완전한 모듈화. 완전한 검증 가능성. 온체인 실시간 AI가


2s finality + cent-level fees + modular AI stacks = The only L1 where on-chain agents actually work. Testnet already handles 10M+ AI ops/day—time to deploy. 🚀 0G Labs (Ø,G) - AI L1 isn't playing around 0gm 💜🐼

You check around and you'll notice that Most chains are fighting for yesterday’s DeFi scraps. But 0G Labs (Ø,G) - AI L1 chose to do something different They're building the decentralized AI layer of tomorrow. Here’s why it’s different: 🖥️ Modular AI OS (build anything, scale infinitely) ⚖️





Need petabyte-scale DA for your AI model? 0G Labs (Ø,G) - AI L1 delivers: ✅ 50Gbps throughput ✅ $0.0001/GB (vs. AWS’s $0.10) ✅ ZK proofs for tamper-proof data No more begging centralized gatekeepers. 🛠️

Training an LLM? You need petabyte-scale storage with instant recall. 0G Labs (Ø,G) - AI L1 delivers: ✅ 50Gbps throughput ✅ ZK proofs for data integrity ✅ 1/100th AWS cost The missing piece for real on-chain AI. 🧠

Notice how when you're working with Other chains you mostly get a "We have file storage…slowly." But then you get to 0G Labs (Ø,G) - AI L1 and you a Sync 1TB of designs in 2 hours with receipts. When Web3 eats Figma, it’ll run on this. ⚡ 0gm stay DeFAi (ng) gravity 🐼💜

想出租你的闲置 GPU 吗?DiLoCoX 将它们构建成一个全球 LLM 训练集群。 0G Labs (Ø,G) - AI L1 的 50Gbps DA 层及以上 = 真正的去中心化 AGI。 未来不是集中式的,而是协作式的。🌐 0GM!! 🔥

So we got a 357x speed-up over AllReduce? DiLoCoX proves decentralized 100B+ model training is viable with: ✅ Pipeline parallelism ✅ Adaptive gradient compression ✅ Local training overlap The paper every Web3 AI builder needs. And You're still sleeping on 0G Labs (Ø,G) - AI L1 ??? 🤨 Lol


Do you by any chance Need petabyte-scale AI without AWS? 0G Labs (Ø,G) - AI L1 delivers: ✅ Proof of Inference (verifiable compute) ✅ 50Gbps DA (faster than Nasdaq) ✅ $0.0001/GB storage (100x cheaper) The only stack where on-chain AI actually works. 🚀