正在加载视频...

视频加载失败

EXCLUSIVE: The Bittensor Bull Thesis with James Ross and Mog Bittensor has a major upgrade happening as we speak. For today's episode, robbie sat down with mogmachine (ττ) of taostats τ and James Ross 🟡 of Mode 🟡 to cover: > Bittensor’s New Upgrade > Who Really Controls AI...

24,498 次观看 • 1 年前 •via X (Twitter)

8 条评论

The Rollup 的头像
The Rollup1 年前

📺YouTube: 🎙️Spotify: 🎧Apple:

Vance Ginn 的头像
Vance Ginn1 年前

Let’s dive into this week’s episode, where I discuss these key issues in the 🧵 above and other critical economic updates. Here: @NetChoice @taxreformer @Texas_Taxpayers @ceidotorg @aier #txlege #Trump #tech

mogmachine (ττ) 的头像
mogmachine (ττ)1 年前

@robbie_rollup @taostats @JRossTreacher @modenetwork Thanks for having me on 🙏❤️

That … τ 的头像
That … τ1 年前

@robbie_rollup @mogmachine @taostats @JRossTreacher @modenetwork Good job Mog Man 😉 as usual

James Ross 🟡 的头像
James Ross 🟡1 年前

@robbie_rollup @mogmachine @taostats @modenetwork Banger episode, really enjoyed it! dtao going to be a game changer

The Rollup 的头像
The Rollup1 年前

@robbie_rollup @mogmachine @taostats @modenetwork Thanks fam ✨

GOOSE 的头像
GOOSE1 年前

@robbie_rollup @mogmachine @taostats @JRossTreacher @modenetwork @mogmachine great shirt, nice to see you reppin @DCGco If you had to guess, what will be the pace of capital deploying flowing into subnets once dTAO goes live? Suspect smart money may sit on the sidelines as liquidity dynamics normalize. Price discovery might take a while

The Rollup 的头像
The Rollup1 年前

@robbie_rollup @mogmachine @taostats @JRossTreacher @modenetwork @DCGco Capital deployment will likely be gradual as liquidity stabilizes, with price discovery taking time

相关视频

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 次观看 • 1 年前

AI has a trust problem. Verifiability is the solution. Our GM of AI Nima Vaziri sat down with a16z’s Ali Yahya and Dan Boneh of Stanford University to map the deepest fault lines in AI today. ☁️ Models we can’t trust ☁️ Current providers can censor, shut down, or shift rules overnight. Outsourced training hides backdoors. Even “open” weights don’t prove what’s actually running. Trust. Backdoors. Black boxes. The path forward is clear: 🔥 Verifiable evals 🔥 Verifiable inference 🔥 TEEs for hardware-backed integrity 🔥 Infra beyond single points of control 🔥 Blockchains as coordination layers for AI From “trust us” to “verify yourself.” That’s the shift. That’s the unlock. The frontier is here. The builders decide what comes next. Create and use AI that’s incentive aligned with you. Timestamps: 00:00:00 Introduction: AI & Crypto Intersection Overview 00:01:58 Four Major AI-Crypto Trends 00:02:44 AI Agents Need Financial Infrastructure 00:04:03 Proof of Humanity: Fighting AI-Generated Content 00:04:17 Decentralizing AI Infrastructure Networks 00:04:44 Synthetic Life: Autonomous AI Agents 00:06:20 Verifiable AI 00:10:16 Current Performance Numbers for AI Proofs 00:13:18 The Era of Experience in AI Learning 00:14:56 AI Agents Having Life of its Own 00:18:21 Algorithmic Fairness & Verifiable Models 00:23:18 Privacy in AI: Trusted Execution Environments 00:25:47 Economic Incentive for Open Weight Models 00:31:39 Attribution Problem: Who Gets Paid for AI Training? 00:35:52 Content Provenance & Authentication (C2PA) 00:48:03 AI Security: Finding Exploits & Vulnerabilities 00:54:53 Educational Applications: LLMs as Learning Partner 00:58:29 Reliance on LLMs and Cognitive Abilities 01:03:57 Content Providers’ Fear of LLM Training

EigenCloud

62,099 次观看 • 10 个月前