Загрузка видео...

Не удалось загрузить видео

На главную

Agentic iteration on specialized models for Bittensor subnets accelerates intelligence production at a cadence exceeding Big AI. Yuma COO Greg Schvey breaks down the massive opportunity around AI‑driven progress from the stage at #Consensus2026. Full video:

YumaGroup's profile picture

Yuma

11,832 subscribers

24,442 просмотров • 1 месяц назад •via X (Twitter)

#Consensus2026
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

On the new episode of the Alea Research Market Cap podcast with Stefano Sanabria, Yuma COO Greg Schvey breaks down why Bittensor $TAO is the economic incentive layer for AI.
0:38

On the new episode of the Alea Research Market Cap podcast with Stefano Sanabria, Yuma COO Greg Schvey breaks down why Bittensor $TAO is the economic incentive layer for AI.

Yuma

18,547 просмотров • 3 месяцев назад

AI agents powered by Bittensor subnets, on Virtuals Expansion
0:31

AI agents powered by Bittensor subnets, on Virtuals Expansion

Virtuals Protocol

243,106 просмотров • 1 год назад

AI is evolving FAST. From agentic AI to physical AI, one thing remains the same: it needs data to grow. Nodepay is building the infrastructure that feeds AI with the intelligence it needs. The demand is massive—the opportunity is even bigger. 🎥👇
0:20

AI is evolving FAST. From agentic AI to physical AI, one thing remains the same: it needs data to grow. Nodepay is building the infrastructure that feeds AI with the intelligence it needs. The demand is massive—the opportunity is even bigger. 🎥👇

Nodepay

78,821 просмотров • 1 год назад

Why Bittensor will be BIGGER than Ethereum for AI Masa Co-founder brendan shares his thoughts on how big #Bittensor $TAO can be and WHY... → Aligned incentive mechanism for #AI innovation → Creation of digital commodities arising from machine-learning and AI → A universe of subnet-driven ♾ AI use cases → Self-improving system Watch out for the value #Bittensor is creating 🤯
1:46

Why Bittensor will be BIGGER than Ethereum for AI Masa Co-founder brendan shares his thoughts on how big #Bittensor $TAO can be and WHY... → Aligned incentive mechanism for #AI innovation → Creation of digital commodities arising from machine-learning and AI → A universe of subnet-driven ♾ AI use cases → Self-improving system Watch out for the value #Bittensor is creating 🤯

Masa

21,565 просмотров • 1 год назад

Bittensor $TAO was spotlighted at Nasdaq's TradeTalks 👀 Evan Malanga, Chief Revenue Officer at Yuma, explained the Bittensor ecosystem on one of the biggest stages in traditional finance. The intersection of AI and crypto is getting harder for TradFi to ignore.
0:44

Bittensor $TAO was spotlighted at Nasdaq's TradeTalks 👀 Evan Malanga, Chief Revenue Officer at Yuma, explained the Bittensor ecosystem on one of the biggest stages in traditional finance. The intersection of AI and crypto is getting harder for TradFi to ignore.

The TAO Daily

57,020 просмотров • 2 месяцев назад

There is a massive AI opportunity within the marketing category. Listen in on Checkmate's master plan to own the enterprise marketing stack for brands with agentic AI: cc: @law_and_rorder and Rho for the support
24:27

There is a massive AI opportunity within the marketing category. Listen in on Checkmate's master plan to own the enterprise marketing stack for brands with agentic AI: cc: @law_and_rorder and Rho for the support

Nichole Wischoff

12,071 просмотров • 3 месяцев назад

Crossing the Rubicon. Bittensor subnets just leveled up! No more silos—united, onchain, we're bridging #Bittensor to Base via Chainlink's CCIP. Get access to the top Bittensor subnets on Base via aerodrome now. The greatest onchain ecosystem for builders, creators and innovators. Where the best of decentralized AI meets EVERYONE. Openτensor Foundaτion
0:40

Crossing the Rubicon. Bittensor subnets just leveled up! No more silos—united, onchain, we're bridging #Bittensor to Base via Chainlink's CCIP. Get access to the top Bittensor subnets on Base via aerodrome now. The greatest onchain ecosystem for builders, creators and innovators. Where the best of decentralized AI meets EVERYONE. Openτensor Foundaτion

General Tensor

35,110 просмотров • 7 месяцев назад

🎤From our keynote: Our Co-founder & COO Theo M. on the Voice AI opportunity. • A $100B+ market by 2030. • Sequoia ranks it among the top 5 investment themes today. • Explosive growth in assistants, call centers, healthcare, robotics. We are tackling the Voice AI opportunity by supplying what models lack: real world, human validated audio at global scale.
0:33

🎤From our keynote: Our Co-founder & COO Theo M. on the Voice AI opportunity. • A $100B+ market by 2030. • Sequoia ranks it among the top 5 investment themes today. • Explosive growth in assistants, call centers, healthcare, robotics. We are tackling the Voice AI opportunity by supplying what models lack: real world, human validated audio at global scale.

Silencio | Voice Data for AI

14,127 просмотров • 9 месяцев назад

"Intelligence at the edge of chaos" — A maxim for Bittensor. SN36: Formed at the crossroads of groundbreaking research and mysterious computational phenomena, driven by the potential of Rule 30 and cellular automata. WOMBO Keith Singery Full Episode on Spotify & YT:
2:35

"Intelligence at the edge of chaos" — A maxim for Bittensor. SN36: Formed at the crossroads of groundbreaking research and mysterious computational phenomena, driven by the potential of Rule 30 and cellular automata. WOMBO Keith Singery Full Episode on Spotify & YT:

Openτensor Foundaτion

24,060 просмотров • 1 год назад

📈 NVIDIA tops AI leaderboards and benchmarks with open models driven by extreme co-design across compute, networking, memory, storage, and software. This includes models for biology, AI physics, agentic AI, physical AI, robotics, and autonomous vehicles. By being vertically integrated and horizontally open, NVIDIA enables its ecosystem to scale agentic workflows at every layer of the stack with the lowest cost per token.
0:38

📈 NVIDIA tops AI leaderboards and benchmarks with open models driven by extreme co-design across compute, networking, memory, storage, and software. This includes models for biology, AI physics, agentic AI, physical AI, robotics, and autonomous vehicles. By being vertically integrated and horizontally open, NVIDIA enables its ecosystem to scale agentic workflows at every layer of the stack with the lowest cost per token.

NVIDIA

85,035 просмотров • 1 месяц назад

🚀 Hear from Robin Li at #VivaTech 2024! Explore the increasing focus on application-driven approaches and the quest for AI super apps to propel innovation in foundation models in China. 📺Watch the video to learn more. #AI #TechTalk #baidu
1:16

🚀 Hear from Robin Li at #VivaTech 2024! Explore the increasing focus on application-driven approaches and the quest for AI super apps to propel innovation in foundation models in China. 📺Watch the video to learn more. #AI #TechTalk #baidu

Baidu Inc.

39,818 просмотров • 2 лет назад

President Trump signs three executive orders on AI: — Accelerating permitting to build data center infrastructure — Promoting the export of American AI models abroad — Protecting Americans from woke AI models driven by Radical Left ideology at the expense of accuracy
2:33

President Trump signs three executive orders on AI: — Accelerating permitting to build data center infrastructure — Promoting the export of American AI models abroad — Protecting Americans from woke AI models driven by Radical Left ideology at the expense of accuracy

Rapid Response 47

1,062,061 просмотров • 10 месяцев назад

Last week, Barry Silbert sat down for a convo with Thomas (Tom) Lee (not drummer) FSInsight.com to discuss the ambition and potential behind Bittensor. "The World Wide Web of Intelligence" creates an opportunity for anyone to shape the future of AI. Full FS Insight report:
1:25

Last week, Barry Silbert sat down for a convo with Thomas (Tom) Lee (not drummer) FSInsight.com to discuss the ambition and potential behind Bittensor. "The World Wide Web of Intelligence" creates an opportunity for anyone to shape the future of AI. Full FS Insight report:

Yuma

30,766 просмотров • 11 месяцев назад

We’re back for Episode 14 of TAO Talk 🚨 calanthia from Masa joins 563 and brody this week to chat about new subnets and AI agents sourcing intelligence from Bittensor! The group chats about: - $TAO -pilling AI/ML chads at NeurIPS Conference feat. const Crucible Labs Macrocosmos Manifold and Yuma - JJ teaming up with Cameron Fairchild to form Laτenτ Holdings, which will validate and help scale subnets - Crucible Labs drops a subnet analysis framework - Celium offering H100s cheaper than any other provider - Tao360 releases inaugural research report for their AI-enabled subnet analysis tool @notYourBananaa - Masa unveils the AI Agent Arena on SN59 /// Timestamps: 00:00 Intro 01:10 Subnet 42 and Agent Arena: Masa’s Subnets 03:00 Real-Time Data Networks for AI 04:20 How Masa is Building AI Agent Arenas Inspired by Gladiators 06:10 Decentralized AI and Bittensor: The Growing Ecosystem 08:15 AI Meets Web3: Masa’s Role in Revolutionizing Data Networks 10:00 The Future of AI Agents: Intelligent Societies and Real-Time Data 12:05 Why Masa Chose Bittensor 14:10 $TAO Incentives and the Future of AI Decentralization 16:25 Bittensor and the Rise of Agent Competition: Masa’s Perspective 18:00 Exploring AI Agent Societies 20:30 Creating Competitive AI Arenas: The Agent Arena Subnet Explained 23:00 Calanthia on the Challenges of Web3 AI Development 25:10 Bringing Web2 Developers into Web3: Lessons from Masa 27:30 The Evolution of AI: From Dumb Agents to Intelligent Societies 30:00 AI Agents as the Future of Interaction in Decentralized AI 34:00 The Agent Arena’s Vision: Competition, Incentives, and Innovation
37:00

We’re back for Episode 14 of TAO Talk 🚨 calanthia from Masa joins 563 and brody this week to chat about new subnets and AI agents sourcing intelligence from Bittensor! The group chats about: - $TAO -pilling AI/ML chads at NeurIPS Conference feat. const Crucible Labs Macrocosmos Manifold and Yuma - JJ teaming up with Cameron Fairchild to form Laτenτ Holdings, which will validate and help scale subnets - Crucible Labs drops a subnet analysis framework - Celium offering H100s cheaper than any other provider - Tao360 releases inaugural research report for their AI-enabled subnet analysis tool @notYourBananaa - Masa unveils the AI Agent Arena on SN59 /// Timestamps: 00:00 Intro 01:10 Subnet 42 and Agent Arena: Masa’s Subnets 03:00 Real-Time Data Networks for AI 04:20 How Masa is Building AI Agent Arenas Inspired by Gladiators 06:10 Decentralized AI and Bittensor: The Growing Ecosystem 08:15 AI Meets Web3: Masa’s Role in Revolutionizing Data Networks 10:00 The Future of AI Agents: Intelligent Societies and Real-Time Data 12:05 Why Masa Chose Bittensor 14:10 $TAO Incentives and the Future of AI Decentralization 16:25 Bittensor and the Rise of Agent Competition: Masa’s Perspective 18:00 Exploring AI Agent Societies 20:30 Creating Competitive AI Arenas: The Agent Arena Subnet Explained 23:00 Calanthia on the Challenges of Web3 AI Development 25:10 Bringing Web2 Developers into Web3: Lessons from Masa 27:30 The Evolution of AI: From Dumb Agents to Intelligent Societies 30:00 AI Agents as the Future of Interaction in Decentralized AI 34:00 The Agent Arena’s Vision: Competition, Incentives, and Innovation

TAO τalk 🥩🦍

24,929 просмотров • 1 год назад

.Cohere is defining the future of sovereign AI. Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC: ✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a single data center. ✅ The Power of Openness: Why open models like NVIDIA Nemotron are critical for data lineage and navigating evolving regulations.
1:05

.Cohere is defining the future of sovereign AI. Autumn Moulder, VP of Engineering at Cohere, breaks down the requirements for a full AI sovereign stack at #NVIDIAGTC: ✅ Full-Stack Sovereignty: Deploying everything from the model to applications and reasoning traces within a single data center. ✅ The Power of Openness: Why open models like NVIDIA Nemotron are critical for data lineage and navigating evolving regulations.

NVIDIA AI

10,965 просмотров • 2 месяцев назад

If intelligence is open but unreadable, power recentralizes 128 subnets; 128 open markets for intelligence TAO Institute: The Bloomberg Terminal for Bittensor
0:55

If intelligence is open but unreadable, power recentralizes 128 subnets; 128 open markets for intelligence TAO Institute: The Bloomberg Terminal for Bittensor

TAO Institute

75,673 просмотров • 2 месяцев назад

Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of Snorkel AI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from Accenture @BNY Comcast Stanford University QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!
5:42

Agentic AI will transform every enterprise–but only if agents are trusted experts. The key: Evaluation & tuning on specialized, expert data. I’m excited to announce two new products to support this–Snorkel AI Evaluate & Expert Data-as-a-Service–along w/ our $100M Series D! --- Snorkel Evaluate is our new data-centric agentic AI evaluation platform for specialized, mission-critical enterprise settings where vibe checks and out-of-the-box metrics driven by simple LLM prompts are not enough. Snorkel Expert Data-as-a-Service is our white glove service for expert-level AI datasets, powering frontier LLM developers in areas like expert knowledge, reasoning, agentic action and tool use, and more! Both built on top of Snorkel AI’s Data Development Platform, using our programmatic technology to drive higher-quality expert data, faster– for getting specialized AI to real production value. If you’re building enterprise AI and want to partner around the key ingredient in AI today–the data–book a demo and let's talk! Finally, see thread for details on 🧵👇 - 📽️ A walkthrough of Snorkel Evaluate and Expert Data-as-a-Service on an agentic AI enterprise task - 📅 An upcoming event on Enterprise Agentic AI with innovators from Accenture @BNY Comcast Stanford University QBE & others - 📊 An upcoming series of benchmark datasets and model artifact releases 👀 Want early access to the full agentic AI dataset? Retweet this post and we'll send you the link!

Alex Ratner

49,798 просмотров • 1 год назад

AI doesn’t scale on mega-models — it scales on distilled skills at the edge. From Davos, Qualcomm's Nakul Duggal breaks down the real physics of edge AI: smaller, purpose-built models, mixed precision, and ruthless focus on power + cost efficiency. The biggest constraint is that if AI runs in robotics, ADAS, or edge automation, it has to be efficient. Watch the full conversation to see why edge AI outcomes depend on efficiency by design:
1:38

AI doesn’t scale on mega-models — it scales on distilled skills at the edge. From Davos, Qualcomm's Nakul Duggal breaks down the real physics of edge AI: smaller, purpose-built models, mixed precision, and ruthless focus on power + cost efficiency. The biggest constraint is that if AI runs in robotics, ADAS, or edge automation, it has to be efficient. Watch the full conversation to see why edge AI outcomes depend on efficiency by design:

Six Five Media

74,120 просмотров • 3 месяцев назад

Bittensor $TAO is building the internet of AI. By combining blockchain and economic incentives, it enables open, decentralized AI development through a global network of interoperable subnets.
1:01

Bittensor $TAO is building the internet of AI. By combining blockchain and economic incentives, it enables open, decentralized AI development through a global network of interoperable subnets.

Grayscale

85,583 просмотров • 1 год назад

The race between big tech for dominance in the artificial intelligence space continues to heat up – this time, Meta $META reportedly poached an entire AI team from Apple $AAPL. Nicole Petallides breaks down the details on Meta CEO Mark Zuckerberg's multibillion-dollar bet on AI.
1:02

The race between big tech for dominance in the artificial intelligence space continues to heat up – this time, Meta $META reportedly poached an entire AI team from Apple $AAPL. Nicole Petallides breaks down the details on Meta CEO Mark Zuckerberg's multibillion-dollar bet on AI.

Schwab Network

11,400 просмотров • 11 месяцев назад