
wiltemu (Ø,G)
@wiltemu
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crypto enthusiastic// Airdrop hunter//web3 bro//future billionaire// community member of @0g_labs
web3
Joined March 2024
KYC for @0G_labs AI Alignment Node Holders is Live. If you’re holding a 0G AI Alignment Node, your next step is here: KYC registration is now open. This means the mainnet is closer than we think. Follow the steps in the thread to complete the kyc or the instructions in the image
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How im looking at @0G_labs creator leaderboard rn. Btw are small accounts still considered on this? @michaelh_0g @Ada_0g
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This week, we got a lot of updates from @0G_labs.0G just dropped their latest tech update covering July 14 to August 4. From a brand-new CLI dashboard to browser-compatible SDKs and smoother fine-tuning, here’s everything they shipped over the last two weeks. Let’s dive in! 🧵
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I’ve talked about this twice already first when 0G Labs’ CTO posted it on X, then when Forbes wrote about it. Now, @0G_labs has dropped the full breakdown on their blog, and it’s unreal. They’ve trained a 107B parameter AI model fully decentralized on bandwidth-limited networks🧵
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Funny thing about @0G_labs is that they don’t hype milestones, even when the milestones is really huge. Galileo already boosted TPS 70%, and now it’s 2.5k → 11k TPS per shard at 500ms blocks. Our CEO(@michaelh_0g) shared this info in thread and he called it "bonus"? Like come
Bonus: @spark_ren confirmed that we are able to generate 11k tps per shard at 500ms block times with our testnet setup. Even though our scalability is infinite, the per shard performance matters for the size of application per shard. Better everyday!.
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I have shared a post about 0G Labs training AI with 107B parameters, and now it’s debuted on Forbes. Here’s what you need to know:. ▪︎Decentralized Training at Scale:.0G Labs’ DiLoCoX framework trained a massive 107-billion-parameter language model using only a standard 1 Gbps
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