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AI History is being made Distributed Training on Bittensor Made possible with Macrocosmos + Manifold + const

596,002 görüntüleme • 1 yıl önce •via X (Twitter)

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Openτensor Foundaτion profil fotoğrafı
Openτensor Foundaτion1 yıl önce

@manifoldlabs @const_reborn Full episode:

JJ profil fotoğrafı
JJ1 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn “Back in the day”… 6 months ago 😂

Greg Osuri 🇺🇸 deAI Summer 2025 profil fotoğrafı
Greg Osuri 🇺🇸 deAI Summer 20251 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn Very cool. How does this compare to @NousResearch Distro?

0x1ee7 profil fotoğrafı
0x1ee71 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn Finally a real competitor to the centralized overlords

Alex profil fotoğrafı
Alex1 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn this is awesome, but no credit to @NousResearch for doing the actually hard part?

Crypτonighτ profil fotoğrafı
Crypτonighτ1 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn You guys are legends.🤝 $tao

BatTek profil fotoğrafı
BatTek1 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn We need more @const_reborn . Great Job Const!

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ElonTrades1 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn 👀

taco-john123Ⓜ️ profil fotoğrafı
taco-john123Ⓜ️1 yıl önce

@MacrocosmosAI @manifoldlabs @const_reborn I can see a future where #bittensor and $TAO will be the base layer for ALL AI projects. All AI applications will run on $TAO

Benzer Videolar

For anyone trying to understand Bittensor from first principles, this lecture is a useful place to start. Presented by Bittensor co-founder const. Learn Bittensor > Start with Bitcoin, distributed systems, incentives, > How Bitcoin leads to Bittensor Subnets coordinating AI infrastructure. Topics: // Start - Bitcoin as more than a digital currency // Risks of AI centralization + closed systems // "The incentive computer" // How Bittensor subnets work (mining, validating) // How distributed AI infrastructure could scale globally // Impact on students, builders & future founders Recorded at the National University of Singapore Computer Science Club. NUS Computing Chapters - Bitcoin, AI, and Bittensor - Bitcoin history and decentralization - AI changes how engineers work - The danger of centralized AI power - Why most crypto visions fail - Bitcoin as the world’s largest compute network - Bitcoin as a market for compute - The idea of an “incentive computer” - Bitcoin compared to Bittensor - Classroom example of decentralized scoring - A simple subnet example - SN62 :: Ridges AI | SN62 SWE agents - SN3 templar :: Distributed AI Training - SN52 lium.io :: GPU rentals on Bittensor 128 subnets, some examples Why this matters for the future of work Q&A Subnet examples mentioned @ SN64 - Serverless + TEE Compute :: Chutes SN8 - Prop firm Vanta Trading SN52 - AutoML :: Gradients SN62 - SWE agents :: Ridges AI | SN62 SN51 - Compute / GPU rental lium.io SN4 - TEE compute for enterprise :: Targon SN3 - 72B Distributed Training run :: templar SN41 - Prediction markets :: Almanac SN44 - Computer Vision Score - Subnet 44 SN68 - Drug discovery :: METANOVA SN18 - Weather Forecasting Zeus | SN 18 SN50 - Bitcoin prediction data :: Synthdata SN61 - Quantum computing :: qBitTensor Labs SN14 - Bitcoin mining pool :: TaoHash SN34 - Perp Dex :: 0xMarkets SN17 - 3D model generation :: 404 SN33 - Data analytics :: ReadyAI SN19 - [Since relaunched] RPC infrastructure :

Openτensor Foundaτion

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