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Hash Rate - Ep 109: Templar $TAO sn3 - Decentralized AI Training 🧙 Guest: Sam Dare Distributed State of templar 00:00 Introductions 02:51 dTAO Launch: Is it working? 09:05 What is Templar? 11:50 Decentralized Training Networks Explained 15:02 The Mechanics of Training with Templar 26:58 DeepSeek's Impact on AI...

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Mark Jeffrey

67,297 subscribers

18,048 просмотров • 1 год назад •via X (Twitter)

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Комментарии: 11

Фото профиля Carrot
Carrot1 год назад

@DistStateAndMe @tplr_ai @DistStateAndMe is a wonderful representative of the spirit of Bittensor! Templar’s work is incredibly important for the community and the world

Фото профиля Lark Davis
Lark Davis1 год назад

Think $BTC has topped? Think again. Past cycles show: 2012-13: Topped 367 days post-halving. 2016-17: 526 days. 2020-21: 548 days. 2024? We’re only 237 days in. There’s still a long way to go. 👉 Subscribe now and join 130K+ investors prepping for the next big move.

Фото профиля Lukiτa
Lukiτa1 год назад

@DistStateAndMe @tplr_ai Rug your Loss

Фото профиля VirginiaStock
VirginiaStock1 год назад

@DistStateAndMe @tplr_ai the @anthonypulido18 accuracy tho predicted everything averaged up not down back in the green 🚩 🌟 👍 🌺

Фото профиля MariuOLAD
MariuOLAD1 год назад

@DistStateAndMe @tplr_ai This is shaping to be one of the best hash rates, I have Templar but this guy is seriously impressive

Фото профиля bsbrits
bsbrits1 год назад

@DistStateAndMe @tplr_ai Thank you. These are very informative and entertaining interviews.

Фото профиля eleusys.eth
eleusys.eth1 год назад

@DistStateAndMe @tplr_ai Very interesting how he views revenue and SN's vs. SaaS's

Фото профиля Mark Jeffrey
Mark Jeffrey1 год назад

@DistStateAndMe @tplr_ai Agreed. Not what I expected there. I'm still chewing on all that myself.

Фото профиля τrac
τrac1 год назад

@DistStateAndMe @tplr_ai LFG!!

Фото профиля ⛩️ Subnet ⚔️ Samouri ⛩️
⛩️ Subnet ⚔️ Samouri ⛩️1 год назад

@DistStateAndMe @tplr_ai ⚔️🤺⚔️

Фото профиля EZ_Trades
EZ_Trades1 год назад

@DistStateAndMe @tplr_ai So machines are continuously sharing data with each other to create a coordinated intelligence, and your in the process of scaling the number of machines without increasing the data loss between them? And using digital "money" to incentive increasingly improving performance?

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Ep. 88 - Eyad Gomaa τroy is building Quasar Subnet 24 Timestamps 1:24 - Introduction 2:08 - Long Context & Decentralized MoE Training 4:05 - Why Long Context Remains Unsolved 5:18 - Quasar Attention: Beyond Transformers 5:55 - Why Decentralized MoE Training Is Hard 8:53 - The MoE Router Problem 9:51 - How Quasar Found Bittensor 11:26 - Why Open Source & Decentralized AI 12:43 - The Joseph Jacks Rejection 13:47 - Subnet Design: CUDA Kernels & Distillation 15:38 - Quasar vs. Other Distillation Subnets 17:05 - Decentralized MoE Design: Miners & Validators 18:34 - Training Data & Upcoming Partnership 19:36 - Quality Over Size: The Real Goal 22:26 - Value Capture: Chutes, API & Quasar Copilot 23:28 - Hardest Part: Building the Incentive Mechanism 24:17 - Bittensor as YC for Real AI 25:24 - Decentralized Advantage vs. Centralized Labs 26:44 - Const: Subnet Acquisition & Mentorship 28:42 - Youngest Subnet Owner & Crypto Background 29:48 - Biggest Personal Growth in Bittensor 30:57 - State-of-the-Art from Bittensor 32:10 - Infinite Context: 10M Effective Window 33:16 - Open Source Inspiration & Model Persona 34:21 - Building Persona via Reinforcement Learning 36:04 - Advice for AI Nerds: Set Goals Before Joining

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