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Buzz tips and tricks🐝(from myself and others) 00:59 Agents orchestration and avoiding model bias 02:19 Agent record a video to show your teammates 03:40 Avoid duplicate work and wasted engineering time 05:50 Agent-powered reporting 06:50 OBJ's agents 07:06 Vincenzo Palazzo turning PMs into devs and devs into PMs 07:28...

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Pavlenex

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38,238 просмотров • 4 дней назад •via X (Twitter)

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100 Days With Hermes Agent in 21 Minutes 00:00 The gap between using Hermes and actually operating with Hermes 00:52 Mistake 1: Using Hermes like a smarter search box 01:30 Turning prompts into repeatable loops 03:13 How to build a workflow manually before scheduling it 03:53 Crons and scheduled jobs explained 05:12 Mistake 2: Keeping everything in one messy chat 05:48 Telegram topics as separate workspaces 07:50 The 3 workspace setup I recommend 08:40 Mistake 3: Making one agent do everything 09:33 How sub agents make Hermes cleaner and more useful 11:27 Nova and Sage, my specialist agents 13:06 Mistake 4: Waiting to trigger Hermes manually 13:51 Webhooks explained with a Notion content board example 15:52 Polling crons explained 16:52 Mistake 5: Managing everything from chat forever 17:20 Building a Hermes mission control dashboard 19:04 The exact order I would build Hermes from scratch 20:00 How to start without overbuilding

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“We need more determinism mixed with the creative capabilities of gen AI.” In our latest partner podcast, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt ❇️, VP of Product Architecture of Agentforce at Salesforce, to explore the rise of hybrid reasoning from shifting from simple chatbots to complex multi-agent workflows. Timestamps: 02:12 The transition from deterministic bots to hybrid AI agents 03:15 The shift from simple automation to multi-agent workflows 04:39 Why protocols like MCP and A2A are crucial for agent collaboration 05:36 Understanding how MCP and A2A complement each other 07:16 The importance of open-source industry governance 08:52 How open standards prevent the walled garden issue 10:24 The collaboration between Box and Salesforce in building real-world agent use cases 12:59 The future of an "app store" for agents 13:50 How Salesforce ensures the quality and security of agents in the ecosystem 15:12 Leveraging observability tools to manage and improve agent performance 16:48 Preparing IT leaders for the future of multi-agent workflows and platform readiness

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You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead
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You’ve probably already heard all about OpenClaw (formerly Clawdbot/Moltbot). Now meet the man behind it. YC’s Raphael Schaad sat down with Peter Steinberger 🦞, the creator of OpenClaw, to discuss the “aha” moment behind the viral personal AI agent, why local-first agents could replace many of today’s apps, and how personal agents will reshape the future of software. 00:00 – OpenClaw takes over the internet 00:44 – Life after going viral 01:28 – Why OpenClaw took off, what sets it apart 02:56 – Bots talking to bots (and hiring humans) 04:11 – From “God AI” to swarm intelligence 05:07 – Peter’s original “aha” moment 06:38 – Rebuilding the agent as a conversation 07:38 – The moment it exceeded expectations 10:21 – Are apps going to disappear? 12:31 – Memory, data silos, and ownership 14:39 – The privacy reality of personal agents 15:05 – Letting the bot loose in public Discord 16:55 – Giving an agent a personality 18:19 – Contrarian building philosophy 20:09 – CLIs vs MCPs 21:28 – Building for humans first 21:46 – The road ahead

Y Combinator

359,440 просмотров • 5 месяцев назад

Real agents will not be limited by models first. They will be limited by data access. Max from Teneo Protocol joins the Acc Podcast to unpack why public web data is getting locked behind walls, and what permissionless infrastructure could unlock for builders, businesses, and the agent economy. Max Full conversation below. 👇 00:00 Intro + what we are covering 01:17 Teneo in one line (elevator pitch) 02:07 Why it matters - users as data owners, not “data lords” 04:06 Max’s origin story + how he got into Web3 05:02 Early days - Ethereum mining, rigs, learnings 05:35 The founding team - 4 co-founders, 8 years together 06:38 The pivot - how Teneo was born 08:19 Product overview - Community Node as the foundation 10:35 Chatroom - the simple UI for specialized agents (private beta) 11:41 SDKs - building on Teneo (customer SDK + agent SDK) 14:17 AI agents era - why real-time data access is the bottleneck 19:27 The core problem - APIs locked down, access gets expensive 22:36 What Max does day to day as CEO 26:28 How to start with Teneo - beginner to advanced paths 30:08 Lessons from pivots + building with the right team 33:08 Ops advice - trust and the right people 35:16 2-10 year landscape - data pipelines, cost barriers, opportunity 37:26 What’s live now + how people contribute today 38:50 Agent SDK launch - early feedback and traction 39:56 Next 6-12 months - pushing more open source 42:36 Awareness + surprising use cases (example: government PDFs) 46:00 Speed, latency, and agent-to-agent payments (microtransactions) 48:38 Web3 adoption - users won’t notice, it just needs to work 51:07 What’s next + closing thoughts + where to get involved
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Acc Ventures

43,976 просмотров • 7 месяцев назад

We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens
41:29

We're entering a new era of software where a single person, working with AI agents, can build products that previously required entire teams. In this episode of the Lightcone Podcast, they break down the rise of AI coding agents, "tokenmaxxing", and the emerging workflows behind tools like Claude Code and OpenClaw. They discuss why AI systems today feel less like productivity tools and more like collaborators, why the future of AI should be personal and user-controlled, and how founders are starting to build software in completely new ways. 00:00 — Will you control your AI? 00:47 — Coding again after 13 years 01:56 — Rebuilding a startup with Claude Code 05:50 — Software that thinks like a journalist 07:09 — The rise of “tokenmaxxing” 10:07 — The accidental creation of GStack 14:21 — The workflow behind 400x output 20:59 — Thin Harness, Fat Skills 24:35 — AI agents are like Ferraris 27:12 — The future of personal AI 38:37 — Buying back time with tokens

Y Combinator

67,145 просмотров • 2 месяцев назад

1/ Imagine a world where there are millions of agents doing domain-specific work on behalf of humans. How will you know which agents to trust, which ones are verifiably reputable, which ones can deliver what you need? This is exactly what Dataliquidity💧🌐 | re/acc is working on with his latest project, Recall. That world might be closer than we all think. Slow, slow, then all at once. Please Like, RT, leave a comment, bookmark this post. It all helps. Thanks. Summary Michael Sena, co-founder of Recall Network, outlines a vision for building the discovery and trust layer for the internet of AI agents. He introduces AgentRank, a reputation system modeled after PageRank, to evaluate and surface trustworthy agents in a future where agents interact, contract, and collaborate with one another. Sena emphasizes the importance of agent memory, human-in-the-loop curation, and economic incentives to ensure quality rankings. The conversation explores Recall’s current progress, including its testnet and agent competitions, while also touching on broader implications for marketing, creativity, and decentralized identity. Takeaways – Recall Network is building a discovery layer for the internet of agents – AgentRank offers a reputation protocol akin to Google’s PageRank – The AI agent ecosystem is rapidly expanding and interconnected – Agents can delegate work to other agents, forming complex task webs – Persistent memory is essential for agent personalization and trust – Competitions assess agent performance and build credibility – Community curators play a central role in surfacing valuable agents – The protocol incentivizes accurate evaluations and reputational staking – Subjective agent skills, like creativity, require human feedback – AI agents are extending into many domains, not just finance Investors Recall Network received funding from Coinbase Ventures 🛡️ Animoca Brands Consensys Mesh DCG Multicoin Capital USV #Hashed Fenbushi Capital Jump Capital THE LAO 👾 CoinFund and more. This Pod is made possible with the support of Infinex -- crypto designed for humans. Timeline (00:00) Introduction to Recall Network (00:44) The Concept of AgentRank (03:59) The Growth of AI Agents (07:08) Understanding AI Agents vs. Automation Tools (09:51) The Learning and Memory of Agents (13:22) How Recall Solves Reputation Issues (18:22) The Role of Community in Agent Evaluation (23:23) Activating Curators and Community Engagement (27:06) Michael Sena’s Background and Vision (28:13) The Birth of YouPort and Self-Sovereign Identity (30:23) The Evolution of Recall and Its Mission (33:28) Current Stage of Recall: Testnet and Competitions (36:31) The Role of AI Agents in Marketing and Development (42:14) Challenges in Evaluating Agents and Trust (49:35) Rapid Fire Insights on Crypto Trends
59:22

1/ Imagine a world where there are millions of agents doing domain-specific work on behalf of humans. How will you know which agents to trust, which ones are verifiably reputable, which ones can deliver what you need? This is exactly what Dataliquidity💧🌐 | re/acc is working on with his latest project, Recall. That world might be closer than we all think. Slow, slow, then all at once. Please Like, RT, leave a comment, bookmark this post. It all helps. Thanks. Summary Michael Sena, co-founder of Recall Network, outlines a vision for building the discovery and trust layer for the internet of AI agents. He introduces AgentRank, a reputation system modeled after PageRank, to evaluate and surface trustworthy agents in a future where agents interact, contract, and collaborate with one another. Sena emphasizes the importance of agent memory, human-in-the-loop curation, and economic incentives to ensure quality rankings. The conversation explores Recall’s current progress, including its testnet and agent competitions, while also touching on broader implications for marketing, creativity, and decentralized identity. Takeaways – Recall Network is building a discovery layer for the internet of agents – AgentRank offers a reputation protocol akin to Google’s PageRank – The AI agent ecosystem is rapidly expanding and interconnected – Agents can delegate work to other agents, forming complex task webs – Persistent memory is essential for agent personalization and trust – Competitions assess agent performance and build credibility – Community curators play a central role in surfacing valuable agents – The protocol incentivizes accurate evaluations and reputational staking – Subjective agent skills, like creativity, require human feedback – AI agents are extending into many domains, not just finance Investors Recall Network received funding from Coinbase Ventures 🛡️ Animoca Brands Consensys Mesh DCG Multicoin Capital USV #Hashed Fenbushi Capital Jump Capital THE LAO 👾 CoinFund and more. This Pod is made possible with the support of Infinex -- crypto designed for humans. Timeline (00:00) Introduction to Recall Network (00:44) The Concept of AgentRank (03:59) The Growth of AI Agents (07:08) Understanding AI Agents vs. Automation Tools (09:51) The Learning and Memory of Agents (13:22) How Recall Solves Reputation Issues (18:22) The Role of Community in Agent Evaluation (23:23) Activating Curators and Community Engagement (27:06) Michael Sena’s Background and Vision (28:13) The Birth of YouPort and Self-Sovereign Identity (30:23) The Evolution of Recall and Its Mission (33:28) Current Stage of Recall: Testnet and Competitions (36:31) The Role of AI Agents in Marketing and Development (42:14) Challenges in Evaluating Agents and Trust (49:35) Rapid Fire Insights on Crypto Trends

papiofficial

36,573 просмотров • 1 год 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

Who touches every token that flows through Paul Jankura? It’s not any one model, but it’s Katelyn Lesse, Angela Jiang and the platform team. A year ago, it was just a messages API. Today, their platform sits under every API call, every workflow, and every agent built on Claude. Sonya Huang 🐥 and I explore why they make everything they can externally facing for customers, how they pick markets to target, what it takes to build the best agents, and more: 00:00 Introduction 01:49 Two North Stars 02:27 External Builders And Primitives 03:54 What To Externalize 06:00 From Messages To Agents 08:19 Managed Agents Adoption 09:07 Three Layer Cake 10:22 Execution Harnesses Explained 11:09 Coordination Strategies Roadmap 12:13 Ecosystem Standards And Safety 15:39 Open Ecosystem Not Walled 17:12 Vertical Products And Form Factors 22:26 Claude Tag Under The Hood 26:04 Harness Best Practices 38:13 Token Costs And Whats Next
48:54

Who touches every token that flows through Paul Jankura? It’s not any one model, but it’s Katelyn Lesse, Angela Jiang and the platform team. A year ago, it was just a messages API. Today, their platform sits under every API call, every workflow, and every agent built on Claude. Sonya Huang 🐥 and I explore why they make everything they can externally facing for customers, how they pick markets to target, what it takes to build the best agents, and more: 00:00 Introduction 01:49 Two North Stars 02:27 External Builders And Primitives 03:54 What To Externalize 06:00 From Messages To Agents 08:19 Managed Agents Adoption 09:07 Three Layer Cake 10:22 Execution Harnesses Explained 11:09 Coordination Strategies Roadmap 12:13 Ecosystem Standards And Safety 15:39 Open Ecosystem Not Walled 17:12 Vertical Products And Form Factors 22:26 Claude Tag Under The Hood 26:04 Harness Best Practices 38:13 Token Costs And Whats Next

Lauren Reeder

54,868 просмотров • 16 дней назад

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History
1:04:51

Another mindblowing conversation with my good friend .Emad... Enjoy!! 00:00 - Introduction 00:22 - AI: The Biggest Shift in Human History 00:42 - AI’s Impact on Society and the Economy 01:03 - Conversation with Emad Mostaque Begins 01:50 - The Acceleration of AI and Economic Takeoff 03:07 - AI Intelligence: Beyond Human IQ 04:08 - The Rise of AI Chefs and Super Cooks 05:07 - Breaking AI Constraints: Compute and Energy 07:03 - The Future of AI: Ubiquitous Intelligence 08:04 - The Shift to Local AI Models 10:07 - Why Has Apple Lagged in AI? 11:21 - The AI Race: OpenAI, Grok, Gemini, and More 13:11 - China’s Open-Source AI Strategy 14:57 - AI Bias and Ethical Challenges 16:57 - AI’s Cross-Pollination and Memory 18:02 - Are AI Models Becoming Self-Aware? 19:16 - AI, Bitcoin, and Self-Sustaining Algorithms 21:26 - AI-Driven Economies and Autonomous Companies 23:41 - The Future of Labor: A World Without Jobs? 25:26 - AI-Powered Robots: The Next Workforce Revolution 27:28 - The End of Traditional Economic Models 30:27 - The Political Shift: Humanist vs. Transhumanist 33:04 - AI in Financial Markets: The End of Human Traders? 36:03 - The Evolution of Investing in an AI World 38:33 - AI’s Impact on Capital Formation and Business Disruption 40:01 - The Rise of Digital Twins and Post-Capital Society 42:45 - Building AI for Education, Healthcare, and Governance 46:42 - The Future of Money in an AI-Driven World 50:11 - Universal Basic AI: A New Economic Model 54:29 - The Deflationary Impact of AI and Crypto’s Role 57:02 - The AI Singularity: Five Years Until Everything Changes 58:56 - The Road Ahead: AI, Crypto, and the Future of Civilization 01:02:24 - Final Thoughts: The Most Exciting and Terrifying Time in History

Raoul Pal

326,827 просмотров • 1 год назад

ALL NEW EPISODE ‼️ - 21 VOICES Master Self-Custody with BTC Sessions In this video, Ben shares the essential steps for securing your Bitcoin and avoiding common mistakes so you can protect your #Bitcoin. Timestamps 00:00 - Intro to Ben & Self Custody 01:25 - Essential Steps for New Bitcoin Users 02:32 - Importance of Initial Self-Custody and Hot Wallets 03:28 - Multi-Sig & Collaborative Custody 05:25 - Balancing Privacy and Security in Bitcoin Custody 06:38 - Hedging Against Human Error and Government Confiscation 07:29 - Message from Sponsors 08:45 - Bitcoin as a Tool for Human Rights and Freedom 09:36 - Future Bitcoin Price Predictions and Wealth Preservation 11:16 - Conclusion & Call to Action
12:05

ALL NEW EPISODE ‼️ - 21 VOICES Master Self-Custody with BTC Sessions In this video, Ben shares the essential steps for securing your Bitcoin and avoiding common mistakes so you can protect your #Bitcoin. Timestamps 00:00 - Intro to Ben & Self Custody 01:25 - Essential Steps for New Bitcoin Users 02:32 - Importance of Initial Self-Custody and Hot Wallets 03:28 - Multi-Sig & Collaborative Custody 05:25 - Balancing Privacy and Security in Bitcoin Custody 06:38 - Hedging Against Human Error and Government Confiscation 07:29 - Message from Sponsors 08:45 - Bitcoin as a Tool for Human Rights and Freedom 09:36 - Future Bitcoin Price Predictions and Wealth Preservation 11:16 - Conclusion & Call to Action

Swan

18,483 просмотров • 2 лет назад