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GitButler is redesigning the version control experience for you and your agents. We're very excited to lead their Series A. In this conversation, GitButler CEO Scott Chacon joins a16z GP Matt Bornstein to discuss: - Why Scott came back to version control after GitHub - Why Git's UI has...

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a16z

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29,008 görüntüleme • 2 ay önce •via X (Twitter)

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We at GitButler just shipped what I want to say is a killer, version control integrated, Claude Code UI. I did love CC in the terminal, but launching an agent scoped to a branch is really amazing. Check it out. Also, unrelated, I love Screen Studio, it's dope.
0:26

We at GitButler just shipped what I want to say is a killer, version control integrated, Claude Code UI. I did love CC in the terminal, but launching an agent scoped to a branch is really amazing. Check it out. Also, unrelated, I love Screen Studio, it's dope.

Scott Chacon

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We're getting close to releasing a brand new approach to branching in Git. Check out Scott Chacon's demo, get excited about virtual branches, and read all about how we built it on our shiny new blog:
8:59

We're getting close to releasing a brand new approach to branching in Git. Check out Scott Chacon's demo, get excited about virtual branches, and read all about how we built it on our shiny new blog:

GitButler

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Jesse Genet on Agentic Parenting Jesse Genet joins a16z's Sarah Wang and Katherine Boyle to discuss her journey from founder to parent, how she's using agents in her household, and how AI could transform parenting for the better. 00:00 YC founder turned homeschool mom 03:00 Discovering Claude Code and agentic building 06:00 Building while homeschooling 4 kids under 5 11:00 How AI generates personalized lesson plans and logs progress 18:00 Jesse's 11-agents 27:05 Agent tech stack deep dive 33:56 How agents improve daily life 40:04 Letting kids interact with AI: values, risks, and the future of parenting Jesse Genet Katherine Boyle Sarah Wang
54:02

Jesse Genet on Agentic Parenting Jesse Genet joins a16z's Sarah Wang and Katherine Boyle to discuss her journey from founder to parent, how she's using agents in her household, and how AI could transform parenting for the better. 00:00 YC founder turned homeschool mom 03:00 Discovering Claude Code and agentic building 06:00 Building while homeschooling 4 kids under 5 11:00 How AI generates personalized lesson plans and logs progress 18:00 Jesse's 11-agents 27:05 Agent tech stack deep dive 33:56 How agents improve daily life 40:04 Letting kids interact with AI: values, risks, and the future of parenting Jesse Genet Katherine Boyle Sarah Wang

a16z

1,787,956 görüntüleme • 2 ay önce

Today we announced a $150M seed round in Inferact, a new startup led by the maintainers of the vLLM project. Inferact will support the vLLM open source project through dedicated financial and developer resources and build what they see as the next generation commercial inference engine. Cofounders Simon Mo and Woosuk Kwon joined a16z GP Matt Bornstein for a conversation on how vLLM came to be, what they’ve learned from building it, and what they’re now doing at Inferact. They cover how vLLM began as a side project, why open source is essential to the world’s AI infrastructure, why inference is getting harder, and more. 00:00 Introduction 11:41 Community and collaboration in vLLM 19:19 Understanding inference engines 24:27 Cluster scale and GPU deployment 31:19 Belief in open source AI 35:45 Founding Inferact 40:00 The future of Inference at scale Simon Mo Woosuk Kwon Matt Bornstein
44:14

Today we announced a $150M seed round in Inferact, a new startup led by the maintainers of the vLLM project. Inferact will support the vLLM open source project through dedicated financial and developer resources and build what they see as the next generation commercial inference engine. Cofounders Simon Mo and Woosuk Kwon joined a16z GP Matt Bornstein for a conversation on how vLLM came to be, what they’ve learned from building it, and what they’re now doing at Inferact. They cover how vLLM began as a side project, why open source is essential to the world’s AI infrastructure, why inference is getting harder, and more. 00:00 Introduction 11:41 Community and collaboration in vLLM 19:19 Understanding inference engines 24:27 Cluster scale and GPU deployment 31:19 Belief in open source AI 35:45 Founding Inferact 40:00 The future of Inference at scale Simon Mo Woosuk Kwon Matt Bornstein

a16z

87,993 görüntüleme • 5 ay önce

What exactly is an AI agent — a looped LLM? A planning system? A misused buzzword? In the latest episode of AI + a16z, Guido Appenzeller, Yoko, and Matt Bornstein debate how to define agentic behavior, where the architecture diverges from traditional software, and why most agents today are closer to “weekend demos” than AGI. They explore: — Why “agent” is a spectrum, not a category — How pricing, UX, and data access complicate the picture — And what it’ll take to move from weekend demos to real agent products Listen now:
0:33

What exactly is an AI agent — a looped LLM? A planning system? A misused buzzword? In the latest episode of AI + a16z, Guido Appenzeller, Yoko, and Matt Bornstein debate how to define agentic behavior, where the architecture diverges from traditional software, and why most agents today are closer to “weekend demos” than AGI. They explore: — Why “agent” is a spectrum, not a category — How pricing, UX, and data access complicate the picture — And what it’ll take to move from weekend demos to real agent products Listen now:

a16z

17,977 görüntüleme • 1 yıl önce

Scott Jennings has built a reputation for speaking truth to power on CNN, but what stood out to me in this conversation was his honesty, his perspective, and his heart. We filmed this episode over a month ago in Washington DC, and it was the perfect backdrop for a raw and real discussion about politics, faith, and family. We talked about what it takes to sit in the lion’s den night after night, debating politics in front of a national audience, and why authenticity matters more now than ever. Scott opened up about his career path from Kentucky to the Bush White House, to campaign war rooms, and now to CNN, where his voice has become one of the most recognizable conservative perspectives in America. He shared stories about Donald Trump, Mitch McConnell, and the lessons he has learned from decades inside politics and media. We also talked about faith, family, and why staying grounded matters when the world is coming at you full speed. Scott Jennings is sharp, candid, and passionate about America’s future, but what I walked away with was a reminder of his integrity and his courage to stand firm in the face of constant pressure. Chapters: 00:03:08:12 – Thoughts on Donald Trump's presidency so far 00:06:32:00 – How has President Trump improved since 2016 00:08:35:01 – How the incident in Butler PA changed everything 00:13:11:23 – Scott Jennings on CNN 00:18:10:19 – How the debates work on CNN 00:20:52:15 – How does Scott Jennings keep his cool while debating 00:24:25:11 – Any strained relationships on set 00:27:18:25 – Scott Jennings' best and worst moments on air 00:31:06:08 – How does Scott Jennings deal with being outnumbered 00:41:12:23 – Scott's career in politics 00:44:39:16 – Mitch McConnell 00:52:11:11 – Political run in Kentucky for Scott 00:54:37:24 – Family 01:00:11:02 – Closing thoughts 01:03:29:11 – The Yellow Ribbon
1:05:46

Scott Jennings has built a reputation for speaking truth to power on CNN, but what stood out to me in this conversation was his honesty, his perspective, and his heart. We filmed this episode over a month ago in Washington DC, and it was the perfect backdrop for a raw and real discussion about politics, faith, and family. We talked about what it takes to sit in the lion’s den night after night, debating politics in front of a national audience, and why authenticity matters more now than ever. Scott opened up about his career path from Kentucky to the Bush White House, to campaign war rooms, and now to CNN, where his voice has become one of the most recognizable conservative perspectives in America. He shared stories about Donald Trump, Mitch McConnell, and the lessons he has learned from decades inside politics and media. We also talked about faith, family, and why staying grounded matters when the world is coming at you full speed. Scott Jennings is sharp, candid, and passionate about America’s future, but what I walked away with was a reminder of his integrity and his courage to stand firm in the face of constant pressure. Chapters: 00:03:08:12 – Thoughts on Donald Trump's presidency so far 00:06:32:00 – How has President Trump improved since 2016 00:08:35:01 – How the incident in Butler PA changed everything 00:13:11:23 – Scott Jennings on CNN 00:18:10:19 – How the debates work on CNN 00:20:52:15 – How does Scott Jennings keep his cool while debating 00:24:25:11 – Any strained relationships on set 00:27:18:25 – Scott Jennings' best and worst moments on air 00:31:06:08 – How does Scott Jennings deal with being outnumbered 00:41:12:23 – Scott's career in politics 00:44:39:16 – Mitch McConnell 00:52:11:11 – Political run in Kentucky for Scott 00:54:37:24 – Family 01:00:11:02 – Closing thoughts 01:03:29:11 – The Yellow Ribbon

Sage Steele

111,471 görüntüleme • 9 ay önce

“Coding will eat all knowledge work” Peter Yang joins a16z’s Anish Acharya to discuss the post-AI future of work, why AI will create more solopreneurs, why human ambition means there will always be new jobs, and more. 00:00 Intro 01:56 Using OpenClaw for voice, memory & daily life 06:14 Will agents kill apps & SaaS? 11:57 Coding agents: Claude Code vs. Codex 17:00 Future of work: small teams, agents & company culture 24:00 How agents change consumer products & the economy Peter Yang Anish Acharya
29:44

“Coding will eat all knowledge work” Peter Yang joins a16z’s Anish Acharya to discuss the post-AI future of work, why AI will create more solopreneurs, why human ambition means there will always be new jobs, and more. 00:00 Intro 01:56 Using OpenClaw for voice, memory & daily life 06:14 Will agents kill apps & SaaS? 11:57 Coding agents: Claude Code vs. Codex 17:00 Future of work: small teams, agents & company culture 24:00 How agents change consumer products & the economy Peter Yang Anish Acharya

a16z

96,317 görüntüleme • 2 ay önce

GitHub has a front-row seat to how code is changing now that everyone—and their army of agents—can ship code. In March alone, agents created 17 million pull requests on the platform. That’s why I was thrilled Mike Taylor was on hand to interview GitHub COO Kyle Daigle at Microsoft Build for a behind-the-scenes look at how the platform is helping developers manage the influx without dictating which pull requests they should trust or merge. This week on Every 📧’s AI & I, Mike gets into: - The 14x commit explosion. GitHub hit 1 billion commits last year. Kyle says they’re on pace for 14 billion this year—and he doesn’t think that curve is plateauing. - GitHub is committed to letting open-source maintainers set their own standards. Agent PRs are flooding communities, but GitHub’s philosophy is to leave code maintainers in control. - The developer/non-developer distinction is collapsing. GitHub’s own legal and finance teams are using Copilot to build apps, one example of how AI has expanded the definition of who counts as a developer. - Per-seat pricing doesn’t survive a world where agents run while you sleep. Kyle thinks automatic model routing—swapping in Haiku for simple tasks instead of always calling the expensive model—is the best way to make the economics make sense. - Daigle runs a daily self-improvement loop with an AI he named Baxter. Every day, Baxter reads 7 days of his emails and Slack messages, flags his communication patterns, and checks whether Kyle followed last week’s advice. This is a must-watch for anyone running agents in their dev workflow—and curious how GitHub is handling the explosion of commits on its platform. Watch below! Timestamps: Introduction: 00:00:52 The agentic PR flood: 00:03:27 GitHub’s approach to helping open-source maintainers manage the surge: 00:04:33 What 14 billion commits means for code quality: 00:06:15 Moving from per-seat licensing to usage-based pricing: 00:08:03 Kyle's dual role as GitHub COO and Microsoft's chief marketing officer for developers: 00:09:45 Developer choice as competitive moat: 00:13:03 How to balance dogfooding your own tools with staying honest about the competition: 00:14:57 Hill climbing, frontier tuning, and solving the model-routing problem: 00:19:45 Kyle's agentic communication hack: 00:24:45
28:07

GitHub has a front-row seat to how code is changing now that everyone—and their army of agents—can ship code. In March alone, agents created 17 million pull requests on the platform. That’s why I was thrilled Mike Taylor was on hand to interview GitHub COO Kyle Daigle at Microsoft Build for a behind-the-scenes look at how the platform is helping developers manage the influx without dictating which pull requests they should trust or merge. This week on Every 📧’s AI & I, Mike gets into: - The 14x commit explosion. GitHub hit 1 billion commits last year. Kyle says they’re on pace for 14 billion this year—and he doesn’t think that curve is plateauing. - GitHub is committed to letting open-source maintainers set their own standards. Agent PRs are flooding communities, but GitHub’s philosophy is to leave code maintainers in control. - The developer/non-developer distinction is collapsing. GitHub’s own legal and finance teams are using Copilot to build apps, one example of how AI has expanded the definition of who counts as a developer. - Per-seat pricing doesn’t survive a world where agents run while you sleep. Kyle thinks automatic model routing—swapping in Haiku for simple tasks instead of always calling the expensive model—is the best way to make the economics make sense. - Daigle runs a daily self-improvement loop with an AI he named Baxter. Every day, Baxter reads 7 days of his emails and Slack messages, flags his communication patterns, and checks whether Kyle followed last week’s advice. This is a must-watch for anyone running agents in their dev workflow—and curious how GitHub is handling the explosion of commits on its platform. Watch below! Timestamps: Introduction: 00:00:52 The agentic PR flood: 00:03:27 GitHub’s approach to helping open-source maintainers manage the surge: 00:04:33 What 14 billion commits means for code quality: 00:06:15 Moving from per-seat licensing to usage-based pricing: 00:08:03 Kyle's dual role as GitHub COO and Microsoft's chief marketing officer for developers: 00:09:45 Developer choice as competitive moat: 00:13:03 How to balance dogfooding your own tools with staying honest about the competition: 00:14:57 Hill climbing, frontier tuning, and solving the model-routing problem: 00:19:45 Kyle's agentic communication hack: 00:24:45

Dan Shipper 📧

13,886 görüntüleme • 11 gün önce

"We are clearly entering a world where a product-minded engineer is now empowered to produce software without writing a line of code for it." In this conversation, Temporal CEO Samar Abbas joins a16z GPs Sarah Wang and Raghu Raghuram to cover: - Why agents are going from short-lived and interactive to long-running and async - Why the engineer of the future manages 15 parallel AI tasks at once - How OpenAI Codex runs millions of concurrent agent executions on Temporal - How real-time context engineering is exploding on Temporal - Why SaaS isn't dead, and value is migrating to APIs 00:00 Introduction 04:03 Temporal's origin story 11:14 Why agents raise the stakes 16:00 Specialized agents need durable RPC 25:20 Deep research agents 30:58 Execution histories as a superpower 39:04 Minimal viable long-running agent architecture 45:07 Context engineering at scale 52:40 Where value accrues: The "five-layer cake" and breakout AI applications Samar Abbas Sarah Wang Raghu Raghuram
1:02:30

"We are clearly entering a world where a product-minded engineer is now empowered to produce software without writing a line of code for it." In this conversation, Temporal CEO Samar Abbas joins a16z GPs Sarah Wang and Raghu Raghuram to cover: - Why agents are going from short-lived and interactive to long-running and async - Why the engineer of the future manages 15 parallel AI tasks at once - How OpenAI Codex runs millions of concurrent agent executions on Temporal - How real-time context engineering is exploding on Temporal - Why SaaS isn't dead, and value is migrating to APIs 00:00 Introduction 04:03 Temporal's origin story 11:14 Why agents raise the stakes 16:00 Specialized agents need durable RPC 25:20 Deep research agents 30:58 Execution histories as a superpower 39:04 Minimal viable long-running agent architecture 45:07 Context engineering at scale 52:40 Where value accrues: The "five-layer cake" and breakout AI applications Samar Abbas Sarah Wang Raghu Raghuram

a16z

45,496 görüntüleme • 4 ay önce

We’re co-leading the $475M seed round for Unconventional AI, a research lab tackling the moonshot of highly efficient AI-first chips. CEO Naveen Rao has sold two companies previously, and we’re excited to be partnering with him in his next endeavor. He joined a16z’s Matt Bornstein at NeurIPS for a conversation on starting a new chip company, what better chips would mean for AGI, why Naveen is so passionate about this mission, and more. 00:00 Intro 00:56 Exploring hardware for running AI workloads 02:02 Why Naveen built lots of software in a "hardware company" 03:22 Why start a new chip company? 05:13 How computing systems went digital 09:26 Why intelligence is a good fit for analog computer systems 12:30 What tradeoffs Naveen faced in pursuing his own path 15:23 The Data modalities Unconventional chips will be best for 16:54 Does this get us closer to AGI? 21:00 Where Naveen gets his excitement and motivation 22:37 What makes Naveen confident that Unconventional will work 24:43 Unconventional's hiring priorities 26:27 Career advice for young people 28:19 What Naveen has done best in his companies Naveen Rao Matt Bornstein Unconventional AI
30:08

We’re co-leading the $475M seed round for Unconventional AI, a research lab tackling the moonshot of highly efficient AI-first chips. CEO Naveen Rao has sold two companies previously, and we’re excited to be partnering with him in his next endeavor. He joined a16z’s Matt Bornstein at NeurIPS for a conversation on starting a new chip company, what better chips would mean for AGI, why Naveen is so passionate about this mission, and more. 00:00 Intro 00:56 Exploring hardware for running AI workloads 02:02 Why Naveen built lots of software in a "hardware company" 03:22 Why start a new chip company? 05:13 How computing systems went digital 09:26 Why intelligence is a good fit for analog computer systems 12:30 What tradeoffs Naveen faced in pursuing his own path 15:23 The Data modalities Unconventional chips will be best for 16:54 Does this get us closer to AGI? 21:00 Where Naveen gets his excitement and motivation 22:37 What makes Naveen confident that Unconventional will work 24:43 Unconventional's hiring priorities 26:27 Career advice for young people 28:19 What Naveen has done best in his companies Naveen Rao Matt Bornstein Unconventional AI

a16z

1,636,123 görüntüleme • 6 ay önce

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives
46:57

Everything Gets Rebuilt: my conversation with Harrison Chase, CEO of LangChain about agent harnesses, evals, runtimes, sandboxes, MCP and the future of the agent stack 00:00 Intro - meet Harrison Chase - at the Chase Center for the Daytona Compute conference 01:32 What changed in agents over the last year 03:57 Why coding agents are ahead 06:26 Do models commoditize the framework layer? 08:27 Harnesses, in plain English 10:11 Why system prompts matter so much 13:11 The upside — and downside — of subagents 15:31 Why a useful agent needs a filesystem 18:13 Additional core primitives of modern agents 19:12 Skills: the new primitive 20:19 What context compaction actually means 23:02 How memory works in agents 25:16 One mega-agent or many specialized agents? 27:46 The future of MCP 29:38 Why agents need sandboxes 32:35 How sandboxes help with security 33:32 How Harrison Chase started LangChain 37:24 LangChain vs LangGraph vs Deep Agents 40:17 Why observability matters more for agents 41:48 Evals, no-code, and continuous improvement 44:41 What LangChain is building next 45:29 Where the real moat in AI lives

Matt Turck

35,241 görüntüleme • 3 ay önce

We’ve built a new CLI for managing conversational agents as code. It brings version control, programmability, and deeper integration into your existing workflows.
3:11

We’ve built a new CLI for managing conversational agents as code. It brings version control, programmability, and deeper integration into your existing workflows.

ElevenLabs

29,539 görüntüleme • 11 ay önce

AI coding isn’t just a hype cycle — it could represent trillions worth of developer productivity. From Copilot to Cursor, AI is already changing how millions code; not someday, but now. Listen to the full conversation on how the future of coding is being rewritten — and what comes next with Yoko, Guido Appenzeller, and Matt Bornstein:
0:41

AI coding isn’t just a hype cycle — it could represent trillions worth of developer productivity. From Copilot to Cursor, AI is already changing how millions code; not someday, but now. Listen to the full conversation on how the future of coding is being rewritten — and what comes next with Yoko, Guido Appenzeller, and Matt Bornstein:

a16z

26,829 görüntüleme • 1 yıl önce

Benedict Evans on Why AI Feels Like the Internet in 1997 Benedict Evans joins Erik Torenberg for a conversation on the state of AI, including how coding agents hit product-market fit, why foundation models should be thought of as infrastructure, the value of vertical products, and more. 00:00 Intro 00:44 What's changed since last year 05:53 OpenAI vs Anthropic strategy 10:31 The pricing crunch & platform history 22:48 What comes after coding 38:18 AI & the future of enterprise software 48:43 The CapEx problem 55:07 Will models become commodities? Benedict Evans Erik Torenberg
1:00:32

Benedict Evans on Why AI Feels Like the Internet in 1997 Benedict Evans joins Erik Torenberg for a conversation on the state of AI, including how coding agents hit product-market fit, why foundation models should be thought of as infrastructure, the value of vertical products, and more. 00:00 Intro 00:44 What's changed since last year 05:53 OpenAI vs Anthropic strategy 10:31 The pricing crunch & platform history 22:48 What comes after coding 38:18 AI & the future of enterprise software 48:43 The CapEx problem 55:07 Will models become commodities? Benedict Evans Erik Torenberg

a16z

102,776 görüntüleme • 20 gün önce

In this conversation from the a16z New Media Summit, Marc Andreessen and Ben Horowitz join Gaby Goldberg and Erik Torenberg for a conversation on the present and future of media, including: - Why New Media favors offense over defense - How to go direct and tell a story that people care about - How to hire people who understand New Media - Why messaging matters first and distribution matters second - The skills founders need to become great communicators 00:00 Intro 00:54 Why authenticity wins in New Media 06:50 How traditional press has changed 11:50 Going direct & why founder-led branding matters 19:49 Picking your battles: When to fight back 23:37 Why being polarizing beats being liked 24:37 Hiring a team built for New Media 29:59 The founder messaging mistakes to avoid 33:42 Tell the bigger story: The Alex Karp playbook Marc Andreessen 🇺🇸 benahorowitz.eth Erik Torenberg Gaby Goldberg
41:51

In this conversation from the a16z New Media Summit, Marc Andreessen and Ben Horowitz join Gaby Goldberg and Erik Torenberg for a conversation on the present and future of media, including: - Why New Media favors offense over defense - How to go direct and tell a story that people care about - How to hire people who understand New Media - Why messaging matters first and distribution matters second - The skills founders need to become great communicators 00:00 Intro 00:54 Why authenticity wins in New Media 06:50 How traditional press has changed 11:50 Going direct & why founder-led branding matters 19:49 Picking your battles: When to fight back 23:37 Why being polarizing beats being liked 24:37 Hiring a team built for New Media 29:59 The founder messaging mistakes to avoid 33:42 Tell the bigger story: The Alex Karp playbook Marc Andreessen 🇺🇸 benahorowitz.eth Erik Torenberg Gaby Goldberg

a16z

56,812 görüntüleme • 9 gün önce

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 • 2 ay önce

Developer talent is global. Access to AI tools should be, too. 🌍 💻 Stephen, a React developer working in Rwanda, shares how he uses GitHub Copilot to navigate complex code, and why AI is a tool for empowerment (and not replacement). Learn more about the partnership between GitHub and Andela to bring structured AI training to more than 3,000 developers across the globe. 💡
1:26

Developer talent is global. Access to AI tools should be, too. 🌍 💻 Stephen, a React developer working in Rwanda, shares how he uses GitHub Copilot to navigate complex code, and why AI is a tool for empowerment (and not replacement). Learn more about the partnership between GitHub and Andela to bring structured AI training to more than 3,000 developers across the globe. 💡

GitHub

25,493 görüntüleme • 3 ay önce

AI Winners, Token Economics, and Venture Strategy w/ David Clark and David George VenCap CIO David Clark joins a16z GP David George to discuss the AI supercycle and how it's changing the technology industry, including what bigger exits mean for venture capital, why we're not in a bubble, why we're still early in enterprise AI adoption, and more. 00:00 Intro 00:38 The scale shift: Anthropic & OpenAI adding more revenue than hyperscalers 04:20 Skeuomorphic vs native AI applications in the enterprise 06:24 How the best AI companies run themselves differently 08:14 Top 1% exits 10x'd in 24 months 11:17 The half-life problem: Why 40% of AI leaders drop off every year 13:11 Token economics, cost pressure, and who captures value 17:00 Loss ratios, risk, and how to think about early stage 22:51 Are we in an AI bubble? 29:50 The future of venture capital in an AI world David Clark David George
33:09

AI Winners, Token Economics, and Venture Strategy w/ David Clark and David George VenCap CIO David Clark joins a16z GP David George to discuss the AI supercycle and how it's changing the technology industry, including what bigger exits mean for venture capital, why we're not in a bubble, why we're still early in enterprise AI adoption, and more. 00:00 Intro 00:38 The scale shift: Anthropic & OpenAI adding more revenue than hyperscalers 04:20 Skeuomorphic vs native AI applications in the enterprise 06:24 How the best AI companies run themselves differently 08:14 Top 1% exits 10x'd in 24 months 11:17 The half-life problem: Why 40% of AI leaders drop off every year 13:11 Token economics, cost pressure, and who captures value 17:00 Loss ratios, risk, and how to think about early stage 22:51 Are we in an AI bubble? 29:50 The future of venture capital in an AI world David Clark David George

a16z

42,120 görüntüleme • 27 gün önce

Retire 15-20 years sooner with Bitcoin (compared to stocks) Time Stamps: 00:00 Intro 00:20 What is retirement? 00:49 Why do people retire? 06:05 Saving vs Investing for retirement 10:35 What is an asset? 12:28 How to save for retirement 14:12 Why Bitcoin is the best way to save 16:06 What is a rate of return? 17:23 What is compounding? 19:45 How to retire faster 22:17 You’ll retire sooner with Bitcoin 28:01 Why you need an emergency fund 29:48 Life insurance 31:07 Invest this to retire in 10 years 32:33 Summary
34:04

Retire 15-20 years sooner with Bitcoin (compared to stocks) Time Stamps: 00:00 Intro 00:20 What is retirement? 00:49 Why do people retire? 06:05 Saving vs Investing for retirement 10:35 What is an asset? 12:28 How to save for retirement 14:12 Why Bitcoin is the best way to save 16:06 What is a rate of return? 17:23 What is compounding? 19:45 How to retire faster 22:17 You’ll retire sooner with Bitcoin 28:01 Why you need an emergency fund 29:48 Life insurance 31:07 Invest this to retire in 10 years 32:33 Summary

Rajat Soni, CFA

28,718 görüntüleme • 1 yıl önce

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?
28:05

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?

Rex Salisbury

20,563 görüntüleme • 17 gün önce