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Microsoft just revealed its next big AI bets at Build 2025. I sat down with Microsoft CEO Satya Nadella to unpack: -Microsoft’s vision for the “agentic web” -Why your next job might be AI agent manager -What happens when 95% of code is AI-generated Timestamps: 0:00 Building the new...

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Rowan Cheung

592,959 subscribers

179,252 görüntüleme • 1 yıl önce •via X (Twitter)

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Rowan Cheung1 yıl önce

Thanks again @satyanadella and @Microsoft for the incredible opportunity and conversation! Watch the full interview across all platforms: YT: Spotify: Apple Podcast:

Greg Caplan 🚀 profil fotoğrafı
Greg Caplan 🚀2 yıl önce

Stop wasting time following up with leads. Let our AI agents do it for you.

Alvaro Cintas profil fotoğrafı
Alvaro Cintas1 yıl önce

Crushing it as always, great interview! Also, that editing 🔥

Rowan Cheung profil fotoğrafı
Rowan Cheung1 yıl önce

Thanks Alvaro!

Jeremy Nguyen ✍🏼 🚢 profil fotoğrafı
Jeremy Nguyen ✍🏼 🚢1 yıl önce

Thank you for asking about the personalisation of education, Rowan! We already know how significant the benefits of tailored education are. Really looking forward to delivering workshops that are really tailored to the Rundown community's needs.

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Rowan Cheung1 yıl önce

You know I had to ask! Very excited for what we have coming :)

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Josh Cook | Microsoft MVP1 yıl önce

Bro @satyanadella is the 🐐 CEO

Rowan Cheung profil fotoğrafı
Rowan Cheung1 yıl önce

@satyanadella 💯

moni 🐢 profil fotoğrafı
moni 🐢1 yıl önce

i like satyas podcast

Code Weaver profil fotoğrafı
Code Weaver1 yıl önce

It seems that AI integration will redefine the tech landscape.

John Taylor profil fotoğrafı
John Taylor1 yıl önce

What an excellent session! After long time I heard something exceptionally insightful.

Rowan Cheung profil fotoğrafı
Rowan Cheung1 yıl önce

Glad you enjoyed it. Agreed, Satya was on point, especially given it was (literally) minutes after the keynote.

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I had the immense pleasure of sitting down with Satya Nadella to talk about the future of AI. Full interview here: 0:00 - Intro 0:50 - Microsoft all in on AI 3:53 - AI changing Microsoft products 5:56 - Is Saas Dead? 9:24 - Who owns the Agents? 10:58 - Personal Agents in the Workplace 12:18 - Zero cost intelligence 14:32 - AI's Economic Impact 17:25 - Future Operating System
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I had the immense pleasure of sitting down with Satya Nadella to talk about the future of AI. Full interview here: 0:00 - Intro 0:50 - Microsoft all in on AI 3:53 - AI changing Microsoft products 5:56 - Is Saas Dead? 9:24 - Who owns the Agents? 10:58 - Personal Agents in the Workplace 12:18 - Zero cost intelligence 14:32 - AI's Economic Impact 17:25 - Future Operating System

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Sat down with Aaron Levie, CEO of Box, to discuss where AI agents are going, how agentic workflows are transforming software, why agents will require much more memory, and how token budgets for enterprises are evolving. Thank you Aaron Levie for taking the time! 00:00 - Intro 01:30 - Where are we in AI 06:25 - The Role of Agents in Software 11:40 - The Role of Memory for Agents 14:45 - TokenMaxxing 24:54 - Why Are There AI Doomers? 31:50 - Aaron's Take on Nvidia

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Every agent needs its own computer: my conversation with Ivan Burazin, CEO of Daytona, about sandboxes and the emerging agent stack. 00:00 Intro 02:13 What is an AI agent sandbox? 03:17 Security risks of running agents locally 05:17 Stateful vs. stateless hyperscalers 07:04 The history of cloud IDEs and the end of localhost 09:45 Do all AI agents need a sandbox? 12:26 Sandbox use cases: RL evals & background agents 14:10 Unpacking the emerging AI Agent Stack 16:20 The unsolved problem of agent memory and learning 19:37 Where sandboxes fit in the agent harness 21:35 OpenAI, Anthropic, and agent SDKs 23:06 Ivan's founder journey: From CodeAnywhere to Daytona 26:59 GTM strategies and building developer communities 33:48 Why customer support is your best GTM strategy 35:34 Leveraging Twitter during the AI super cycle 40:50 The technical anatomy of a sandbox 41:53 Why fast spin-up speeds maximize GPU efficiency 46:09 Firecracker, QEMU, and isolation primitives 49:58 Why sandbox snapshots and state forking matter 51:40 Why Daytona built a custom scheduler from scratch 55:24 The challenge of long-running stateful sandboxes 58:10 The build your own sandbox trap 1:01:03 Why AI agents might trigger a global CPU shortage 1:02:46 The future of the AI Agent Stack
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E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?
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E101: Virtuals Protocol : How to get Rich with AI Agents (Without Getting Lucky)! is the CoFounder of Virtuals, the leading AI Agent protocol valued at $2.5 Billion Timestamps 0:00 Intro 2:35 Mental Health 6:41 Having Optimistic Co-Founders 7:20 Post-Bull Survival Guide 10:09 Who is Wee Kee ? 10:51 Hyperliquid, an inspiration for Founders 15:21 Fascination of AI 16:56 What is an AI Game? 18:48 Crypto Gaming Narrative 21:20 Can AI Lovers Solve Loneliness? 24:33 What’s a Good AI Lover? 26:44 Solving Mental Health with AI 29:14 Why does Crypto AI Matter? 30:59 Purpose of terminal of truths & $Goat Token 33:54 Why AI Agents Matter 39:34 How aixbt Leads Crypto 43:09 The Risk of Social Coins 45:06 Replacing Humans with AI Agents 49:36 Fair Launches Reflect Crypto Values 58:20 What is Virtuals Protocol ? 1:00:56 Main Goal of Virtuals 1:02:12 What is Luna 1:05:30 Luna: AI Agents Hiring Humans 1:11:09 How AI Agents Mirror Humans 1:12:48 AI Agents Running Businesses 1:16:36 Network State & Why it Matters 1:19:24 AI Networks Bigger Than Earth 1:21:58 Human Advantage Over AI Agents 1:23:29 Does Decentralization Matter? 1:28:22 Base or Solana 1:33:49 Support from Base 1:35:13 What are Sentient Agents? 1:37:25 The Future of AI Agents 1:38:16 Non-Consensus Beliefs 1:39:54 Prediction for the Next 12 Months 1:42:52 Where is Hyperliquid Going?

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Trillions in AI compute can't buy a $10 domain name. Jeff Weinstein explains how Stripe’s new machine payments protocol will unleash autonomous agents to control real budgets. (0:00) What Is Agentic Commerce? (2:00) What Is the Machine Payments Protocol? (4:11) Why Can’t Smart Agents Buy Things Online? (7:14) How Can You Safely Give an Agent a Budget? (9:34) How Can Agents Provision Cloud Services? (12:22) Why Does Machine Payments Need Stablecoins? (14:15) Why Did Stripe Co-Found the Tempo Blockchain? (16:52) Who Are the Early Adopters of Agent Payments? (18:38) Why Are Agents Now Stripe’s Primary Customer? (20:00) How Did Stripe Atlas Reach 100,000 Startups? (23:09) Why Are AI Startups Growing 50% Faster Now? (24:59) Who Is Smarter: Patrick or John Collison?

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Box CEO Aaron Levie on the AI Adoption Gap Aaron Levie joins Steven Sinofsky, Martin Casado, and Erik Torenberg to discuss how AI agents will revolutionize work, the growing pains of building software for the agent economy, what Wall Street gets wrong about AI, and more. 00:00 Intro 00:51 Building software for agents vs. humans 02:10 Can non-technical workers actually use AI agents? 14:31 CFO/CIO pushback: the real fear of agents doing integration 18:39 Treating agents like employees and why it breaks down 27:35 Diffusion gap: startups vs. enterprises 42:53 What Wall Street gets wrong Aaron Levie Steven Sinofsky martin_casado Erik Torenberg
58:28

Box CEO Aaron Levie on the AI Adoption Gap Aaron Levie joins Steven Sinofsky, Martin Casado, and Erik Torenberg to discuss how AI agents will revolutionize work, the growing pains of building software for the agent economy, what Wall Street gets wrong about AI, and more. 00:00 Intro 00:51 Building software for agents vs. humans 02:10 Can non-technical workers actually use AI agents? 14:31 CFO/CIO pushback: the real fear of agents doing integration 18:39 Treating agents like employees and why it breaks down 27:35 Diffusion gap: startups vs. enterprises 42:53 What Wall Street gets wrong Aaron Levie Steven Sinofsky martin_casado Erik Torenberg

a16z

276,989 görüntüleme • 3 ay önce

One thing I keep hearing is people are not sure of where to start with AI, what to learn around the Microsoft ecosystem with copilots, agents, IQ etc. I've done a lot of videos recently but wanted to create a little bit of a clearer path for those who need a bit more order. I also created if you want an interface for the curated AI path. No adverts, no fluff, no sponsors. Just an easy experience to utilize. The key content: AI for Anyone - 30 Minute Introduction to AI — RAG, Semantic Search and More — Getting Started with M365 Copilot — Copilot Cowork Overview — Picking Your Agent Builder Solution — Agent 365 Overview — Microsoft IQ Overview — Work IQ Overview — Foundry IQ Overview — Fabric IQ Overview — Getting Started with GitHub Copilot CLI and Work IQ — Choosing Your First AI Application — MCP or A2A — What is Agentic AI — Generative AI Security Top Considerations — #ai #artificialintelligence #copilot #m365copilot #copilotstudio #microsoftfoundry #microsoft
0:24

One thing I keep hearing is people are not sure of where to start with AI, what to learn around the Microsoft ecosystem with copilots, agents, IQ etc. I've done a lot of videos recently but wanted to create a little bit of a clearer path for those who need a bit more order. I also created if you want an interface for the curated AI path. No adverts, no fluff, no sponsors. Just an easy experience to utilize. The key content: AI for Anyone - 30 Minute Introduction to AI — RAG, Semantic Search and More — Getting Started with M365 Copilot — Copilot Cowork Overview — Picking Your Agent Builder Solution — Agent 365 Overview — Microsoft IQ Overview — Work IQ Overview — Foundry IQ Overview — Fabric IQ Overview — Getting Started with GitHub Copilot CLI and Work IQ — Choosing Your First AI Application — MCP or A2A — What is Agentic AI — Generative AI Security Top Considerations — #ai #artificialintelligence #copilot #m365copilot #copilotstudio #microsoftfoundry #microsoft

John Savill

11,236 görüntüleme • 3 ay önce

Agents Already Spent $76 Million: Circle's AI Agent stack, x402, stablecoins and the Agentic Economy Shoal Signal with Corey Cooper, Senior Manager, DevRel at Circle, hosted by Zaddycoin We cover how Circle is building the agent money stack with $USDC, Arc, x402, why EIP-3009 makes payments gasless, who is actually transacting today, whether SaaS is dead, and why agents buying their own services points to a trillion dollar TAM. 0:00 What Circle is building for agents 3:01 Why x402 matters for builders 6:54 USDC, gasless transfers, and facilitators 10:57 The Circle agent stack and nano payments 14:17 Who is using x402 and for what 16:46 Pay-per-use flattens the internet 19:50 A new persona, and $76 million transacted 23:03 What is missing for agent to agent 28:05 Every app has APIs, the TAM is trillions 29:26 Is SaaS dead 31:57 Discovery as the real value layer 36:28 How Circle curated its marketplace 41:23 Why it has to run on stablecoins 46:00 Cash App to agent in one second 49:38 Where the alpha is, trading on Robinhood 52:08 Try it yourself
54:16

Agents Already Spent $76 Million: Circle's AI Agent stack, x402, stablecoins and the Agentic Economy Shoal Signal with Corey Cooper, Senior Manager, DevRel at Circle, hosted by Zaddycoin We cover how Circle is building the agent money stack with $USDC, Arc, x402, why EIP-3009 makes payments gasless, who is actually transacting today, whether SaaS is dead, and why agents buying their own services points to a trillion dollar TAM. 0:00 What Circle is building for agents 3:01 Why x402 matters for builders 6:54 USDC, gasless transfers, and facilitators 10:57 The Circle agent stack and nano payments 14:17 Who is using x402 and for what 16:46 Pay-per-use flattens the internet 19:50 A new persona, and $76 million transacted 23:03 What is missing for agent to agent 28:05 Every app has APIs, the TAM is trillions 29:26 Is SaaS dead 31:57 Discovery as the real value layer 36:28 How Circle curated its marketplace 41:23 Why it has to run on stablecoins 46:00 Cash App to agent in one second 49:38 Where the alpha is, trading on Robinhood 52:08 Try it yourself

Shoal Research

19,984 görüntüleme • 26 gün önce

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep
40:50

After many months, a lot of model releases and even more Amp releases, here it is: A new episode of Raising An Agent with Quinn Slack and Thorsten Ball. They discuss: - Why Gemini 3 might have been the inflection point, not Opus 4.5 - What changed over Christmas and why everybody talks about agents now - "The assistant is dead, long live the factory" - How codebases need to adapt for agents - Why small/local models don't give you an impression of the frontier - What does it mean for a codebase to be agent-friendly? - New things coming to Amp Enjoy! And happy hacking! Timestamps: 1:51 The Impact of Gemini 3 and Opus 4.5 5:28 Shifting Perceptions of AI Agents 10:17 Adapting Codebases for AI Efficiency 14:48 The Future of Software Development with AI Agents 19:29 Challenges and Opportunities Ahead 24:00 The Importance of Frontier Models 25:12 Adapting to AI-Driven Workflows 26:57 The Future of Coding Agents 28:07 Building an Agentic Code Base 30:22 Rethinking Development Tools 31:44 Amp's Evolution and Team Dynamics 33:00 Discord Q&A 39:18 Teasing New Features: Deep

Amp

36,150 görüntüleme • 5 ay önce

INTERVIEW - Venice Is Here to Win: How Private AI Takes On OpenAI and Anthropic David Hoffman sits down with Jon ShapeShift and Jesse Proudman to unpack how Venice is taking on OpenAI and Anthropic with private AI. They talk about: - why AI is becoming the biggest data honeypot ever - private Grok access through Venice - unrestricted AI as a consumer wedge - how non-crypto users still feed the $VVV economy - $DIEM, tokenized inference, and AI agents --- TIMESTAMPS 0:00 Intro 1:12 Why Private AI Matters 3:01 The AI Data Honeypot 6:07 Venice’s Consumer AI Ambition 8:01 Beating the Big AI Labs 10:19 Model Aggregation and Agentic Chat 12:29 Open Source, Closed Source, and Private Grok 17:14 Who Actually Needs Private AI? 21:58 Venice’s User Base 23:53 What Drove Venice’s Recent Growth 27:21 $VVV, $DIEM, and Tokenized Inference 29:00 Where Venice Gets Its Compute 32:17 Bonding Curves and DIEM Monetary Policy 39:14 Real Tokenomics, Not Just a Pie Chart 45:46 AI Agents Need Inference to Exist 52:54 ShapeShift DNA Inside Venice 55:53 Regulation, AI, and Individual Rights
58:52

INTERVIEW - Venice Is Here to Win: How Private AI Takes On OpenAI and Anthropic David Hoffman sits down with Jon ShapeShift and Jesse Proudman to unpack how Venice is taking on OpenAI and Anthropic with private AI. They talk about: - why AI is becoming the biggest data honeypot ever - private Grok access through Venice - unrestricted AI as a consumer wedge - how non-crypto users still feed the $VVV economy - $DIEM, tokenized inference, and AI agents --- TIMESTAMPS 0:00 Intro 1:12 Why Private AI Matters 3:01 The AI Data Honeypot 6:07 Venice’s Consumer AI Ambition 8:01 Beating the Big AI Labs 10:19 Model Aggregation and Agentic Chat 12:29 Open Source, Closed Source, and Private Grok 17:14 Who Actually Needs Private AI? 21:58 Venice’s User Base 23:53 What Drove Venice’s Recent Growth 27:21 $VVV, $DIEM, and Tokenized Inference 29:00 Where Venice Gets Its Compute 32:17 Bonding Curves and DIEM Monetary Policy 39:14 Real Tokenomics, Not Just a Pie Chart 45:46 AI Agents Need Inference to Exist 52:54 ShapeShift DNA Inside Venice 55:53 Regulation, AI, and Individual Rights

Bankless

59,022 görüntüleme • 1 ay önce