Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Touring Impulse with the Stove Guy Sam D'Amico and allen featuring never-seen-before AI cooking features. Sam is reinventing the stove from first principles: battery-powered architecture, software-defined hardware, & OTA updates. In this episode, we discuss: • Why Impulse centered the stove around a battery • How they achieved extreme... power + temperature control • Why Sam sees appliances as software-defined hardware • How Claude and AI tools are already part of the product + how Sam uses AI Timestamps: 0:00 Intro 0:18 The Impulse Cooktop Demo 0:55 Zephyr Partnership + Showrooms 1:14 Magnetic Knob Interface 2:04 How Impulse Tests and QA’s Every Build 3:34 Rebuilding the Stove From First Principles 5:02 Impulse Core and OEM Partnerships 6:09 How Long It Took to Build the Product 8:07 The Japan Pizza Story That Sparked Impulse 9:22 Why Sam Left Consumer Hardware for Appliances 12:42 Why the Stove Was the Right Entry Point 14:31 Building Appliances “Like a Phone” 17:17 Will Impulse Ship a Single-Burner Version? 17:37 Cooking Begins on the AI Dev Unit 19:10 How Sam Uses AI to Build Software at Impulse 20:36 Scallops Demo: Real-Time Temperature Control 22:20 Boiling Pasta at 10,000 Watts 24:49 AI Recipes, Figma, and Multi-Burner Cooking 28:25 Butter, Pasta, and Controlled Temperature Cooking 30:21 Zephyr Launch and the Bigger Smart Home Vision 32:45 Global Expansion Plans 33:34 AI Features, OTA Updates, and What Ships This Year 35:14 Taste Test with the Judges 36:42 Where to Buy Impulseshow more

Latent.Space

29,134 subscribers

17,116 Aufrufe • vor 4 Monaten •via X (Twitter)

Anya Rossi• Live Now

Private livecam show

0 Kommentare

Keine Kommentare verfügbar

Kommentare vom Original-Post werden hier angezeigt

Ähnliche Videos

My first interview with The Stove Guy – Sam D'Amico (Sam D'Amico), founder & CEO of Impulse Labs Since 2021, Sam has been on a mission to invent the world's most powerful stove. After many prototypes, and somehow not setting a single stove on fire, Impulse is finally starting to ship their first few units. Link to interview on YouTube in comment below! 0:24 Childhood 6:39 Adding batteries to appliances 18:30 Putting batteries in a stove 24:04 Prototyping process 31:52 Why the nobs are magnetic 39:18 Going from Raptor 1 to Raptor 3 50:10 55 million appliance installations a year 1:01:58 Pre-production hell 1:13:51 Building relationships with regulators early 1:17:10 Consumer hardware investors 1:22:52 Figuring out what product to build first 1:30:22 Studying BYD

My first interview with The Stove Guy – Sam D'Amico (Sam D'Amico), founder & CEO of Impulse Labs Since 2021, Sam has been on a mission to invent the world's most powerful stove. After many prototypes, and somehow not setting a single stove on fire, Impulse is finally starting to ship their first few units. Link to interview on YouTube in comment below! 0:24 Childhood 6:39 Adding batteries to appliances 18:30 Putting batteries in a stove 24:04 Prototyping process 31:52 Why the nobs are magnetic 39:18 Going from Raptor 1 to Raptor 3 50:10 55 million appliance installations a year 1:01:58 Pre-production hell 1:13:51 Building relationships with regulators early 1:17:10 Consumer hardware investors 1:22:52 Figuring out what product to build first 1:30:22 Studying BYD

Ti Morse

10,872 Aufrufe • vor 1 Jahr

In this episode, OpenAI Chief Research Officer Mark Chen joins allen to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it means to develop research taste, why evals are in crisis, how to avoid benchmark-maxing, and what it will take for models to handle long-horizon real-world work, multimodal reasoning, and eventually end-to-end AI research. Timestamps: 0:00 Intro 0:28 The Soup Story 1:52 From Trading to AI Research 3:21 How to Develop Research Taste 5:23 RL, Evals, and Superhuman Benchmarks 8:17 Cooking Begins on the Impulse Stove 8:53 Scaling Laws, Pre-Training, and Reasoning 12:33 OpenAI’s Research Roadmap and Compute Allocation 15:48 What Makes a Great Researcher 19:33 The Evals Crisis and Benchmark-Maxing 24:34 Jagged Intelligence, Context, and Long-Horizon Learning 27:14 Shrimp Flambé and New Research Bets 31:32 Multimodal Models and One Architecture 32:36 Vibe Researching and End-to-End AI Research 34:36 Failed Bets, Postmortems, and OpenAI’s Alpha 37:07 Final Taste Test 37:53 Overrated vs. Underrated AI Research 41:00 Closing

In this episode, OpenAI Chief Research Officer Mark Chen joins allen to flambé shrimp, cook Korean stew, and chat about being at the frontier of AI research: why scaling laws and pre-training still matter, how OpenAI chooses research bets and allocates compute, what it means to develop research taste, why evals are in crisis, how to avoid benchmark-maxing, and what it will take for models to handle long-horizon real-world work, multimodal reasoning, and eventually end-to-end AI research. Timestamps: 0:00 Intro 0:28 The Soup Story 1:52 From Trading to AI Research 3:21 How to Develop Research Taste 5:23 RL, Evals, and Superhuman Benchmarks 8:17 Cooking Begins on the Impulse Stove 8:53 Scaling Laws, Pre-Training, and Reasoning 12:33 OpenAI’s Research Roadmap and Compute Allocation 15:48 What Makes a Great Researcher 19:33 The Evals Crisis and Benchmark-Maxing 24:34 Jagged Intelligence, Context, and Long-Horizon Learning 27:14 Shrimp Flambé and New Research Bets 31:32 Multimodal Models and One Architecture 32:36 Vibe Researching and End-to-End AI Research 34:36 Failed Bets, Postmortems, and OpenAI’s Alpha 37:07 Final Taste Test 37:53 Overrated vs. Underrated AI Research 41:00 Closing

Latent.Space

62,796 Aufrufe • vor 1 Monat

How persuadable are humans, really? Sam Altman returns to discuss accidental AI takeover, why GPT-6 might crack real science, when we'll see AI CEOs running the show, and the question he asked someone to pose to the Dalai Lama. Timestamps 0:00:00 – Sam’s basic trick for productivity 0:01:22 – Hiring hardware vs. software people 0:05:46 – How long before an AI CEO 0:10:48 – Government backstops for AI companies 0:13:26 – Monetizing AI services 0:18:04 – Negotiating deals with Saudia Arabia and the UAE 0:22:00 – How good GPT-6 will be at poetry 0:25:15 – Chip-building and where the energy will come from 0:29:04 – Sam’s changing health habits 0:30:20 – UAP’s and conspiracy theories 0:31:43 – Revitalizing St. Louis 0:33:12 – Regulating AI agents 0:34:39 – New ways to interface with AI 0:38:12 – How normies will learn AI 0:44:36 – The trajectory of healthcare and housing prices 0:46:57 – Reexamining freedom of speech 0:50:08 – Humanity’s persuadability Recorded live with tylercowen and Sam Altman at the 2025 Progress Conference, hosted by Roots of Progress Institute. Thanks to Big Think for the video production.

How persuadable are humans, really? Sam Altman returns to discuss accidental AI takeover, why GPT-6 might crack real science, when we'll see AI CEOs running the show, and the question he asked someone to pose to the Dalai Lama. Timestamps 0:00:00 – Sam’s basic trick for productivity 0:01:22 – Hiring hardware vs. software people 0:05:46 – How long before an AI CEO 0:10:48 – Government backstops for AI companies 0:13:26 – Monetizing AI services 0:18:04 – Negotiating deals with Saudia Arabia and the UAE 0:22:00 – How good GPT-6 will be at poetry 0:25:15 – Chip-building and where the energy will come from 0:29:04 – Sam’s changing health habits 0:30:20 – UAP’s and conspiracy theories 0:31:43 – Revitalizing St. Louis 0:33:12 – Regulating AI agents 0:34:39 – New ways to interface with AI 0:38:12 – How normies will learn AI 0:44:36 – The trajectory of healthcare and housing prices 0:46:57 – Reexamining freedom of speech 0:50:08 – Humanity’s persuadability Recorded live with tylercowen and Sam Altman at the 2025 Progress Conference, hosted by Roots of Progress Institute. Thanks to Big Think for the video production.

Conversations with Tyler

74,177 Aufrufe • vor 9 Monaten

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

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 Aufrufe • vor 3 Monaten

there has been a lot of discussion of the SF housing crisis on the timeline recently so i brought on Sam D'Amico and Noah Smith 🐇🇺🇸🇺🇦🇹🇼 to break down how we got here while we cooked some steaks. finally MOTS gets political 00:00 - The SF Sam power rankings and using the Impulse stove 03:00 - Preparing steak 04:07 - Recent history of SF politics 07:48 - The rise of the NIMBY in SF 14:25 - SF Faction breakdown and inclusionary zoning 20:11 - The rise of the YIMBY in SF 24:33 - The progressive overreach in SF 28:23 - The weirdos in SF joined the AI labs 30:30 - It’s hard to know what you’re voting for 34:05 - Mayor Daniel Lurie 35:05 - SF unions 40:10 - The rise of non-profits in SF 45:35 - The board of supervisors and veto power of development

there has been a lot of discussion of the SF housing crisis on the timeline recently so i brought on Sam D'Amico and Noah Smith 🐇🇺🇸🇺🇦🇹🇼 to break down how we got here while we cooked some steaks. finally MOTS gets political 00:00 - The SF Sam power rankings and using the Impulse stove 03:00 - Preparing steak 04:07 - Recent history of SF politics 07:48 - The rise of the NIMBY in SF 14:25 - SF Faction breakdown and inclusionary zoning 20:11 - The rise of the YIMBY in SF 24:33 - The progressive overreach in SF 28:23 - The weirdos in SF joined the AI labs 30:30 - It’s hard to know what you’re voting for 34:05 - Mayor Daniel Lurie 35:05 - SF unions 40:10 - The rise of non-profits in SF 45:35 - The board of supervisors and veto power of development

atlas

87,953 Aufrufe • vor 12 Tagen

I sat down with Jordi Visser to discuss stocks, bitcoin, and gold hitting new all-time highs, along with the implications of AI and why everyone is underestimating what is happening. Enjoy! TIMESTAMPS: 0:00 - Into 1:17 - Why asset prices are hitting all-time highs 3:45 - AI acceleration as a theme for next decade 10:36 - How investors can get exposure to humanoid robots 14:22 - Impact of AI agents 21:14 - Government pressure on the Fed 25:17 - Financial mindset of the younger generation 32:42 - Why bitcoin will continue to go higher 37:28 - Mr Beast AI thumbnail scenario 43:19 - Where to follow Jordi

I sat down with Jordi Visser to discuss stocks, bitcoin, and gold hitting new all-time highs, along with the implications of AI and why everyone is underestimating what is happening. Enjoy! TIMESTAMPS: 0:00 - Into 1:17 - Why asset prices are hitting all-time highs 3:45 - AI acceleration as a theme for next decade 10:36 - How investors can get exposure to humanoid robots 14:22 - Impact of AI agents 21:14 - Government pressure on the Fed 25:17 - Financial mindset of the younger generation 32:42 - Why bitcoin will continue to go higher 37:28 - Mr Beast AI thumbnail scenario 43:19 - Where to follow Jordi

Anthony Pompliano 🌪

41,961 Aufrufe • vor 1 Jahr

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Claude Cowork, Mythos, and the Future of Software: my conversation with Felix Rieseberg, who leads Cowork at Anthropic 00:00 Intro 01:53 Claude Mythos Preview and the “step-function change” 06:16 Why Anthropic is treating Mythos differently 11:19 The real story behind Claude Cowork’s “10-day” build 12:42 Why Anthropic realized Claude Code needed a non-technical version 15:44 What Claude Cowork actually is 17:03 Under the hood: virtual machines, tools, skills 18:36 Where Cowork’s memory actually lives 19:26 How Cowork connects to files, apps, and the internet 20:45 Why Felix thinks the local computer is under-appreciated 24:49 Trust: how do you get users comfortable with AI agents? 28:45 What UX actually means for AI agents 31:27 Anthropic Cowork's roadmap is only one month long 34:12 Building 100 prototypes 35:10 If execution is free, what becomes the bottleneck? 37:25 Does it come down to taste? 40:12 The hardest part of building Claude Cowork 41:43 Advice for founders building AI agents 44:21 SaaSpocalypse: what’s left for software startups 49:30 Where AI agents are going next 51:20 Regulated industries and enterprise adoption 54:15 Hot takes: what's underrated, overrated, and what Felix would build today

Matt Turck

80,696 Aufrufe • vor 4 Monaten

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

In this episode of the Lightcone Podcast, we sat down with Mukund Jha and Madhav Jha, the founders of Emergent - an AI platform that lets anyone build and ship production-ready software. In just eight months, users have created more than 7 million apps on Emergent, with the number doubling in just the last 45 days. We discuss how they built one of the most powerful AI coding agents, why they focused on non-technical users and what it's like building for a global audience from India. 00:00 - Intro 01:06 - What Is Emergent? 01:18 - Founder Backstory 02:09 - From AI Testing to General Coding Agents 02:52 - Getting Ahead of the Market 04:18 - The Pivot to Non-Technical Users 05:22 - Why Second Movers Can Win in AI 09:04 - Building for Production, Not Just Prototypes 18:21 - Live Demo: Building Apps with Emergent 24:40 - How Emergent Hires and Runs a Lean Team 29:04 - Is SaaS Dead? The Rise of Personalized Software 34:04 - The Future: Niche Apps, Solo Builders and AI Agency

Y Combinator

107,654 Aufrufe • vor 4 Monaten

I sat down with Jordi Visser to discuss why bitcoin is down 50%, whether the bear market is over, why he's still buying through the dip, how AI agents will drive bitcoin adoption, and why the rotation from AI hardware to human software is the biggest investment opportunity right now. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:45 - Why bitcoin is down 50% & is the bear market over? 6:48 - What would convince Jordi to sell his bitcoin? 9:07 - Bitcoin as the S&P 500 of crypto 14:02 - Why bitcoin is safer than any company past 2030 17:45 - Bitcoin volatility vs. the stock market 22:22 - The five-layer AI stack & where revenues are missing 26:22 - Token budgets & the shift to specialized AI 35:10 - Are LLMs now commoditized? 40:30 - Peptides as the API key for the human body 49:24 - Healthcare, entitlements & the future outlook 55:12 - Jordi’s upcoming video & final thoughts

I sat down with Jordi Visser to discuss why bitcoin is down 50%, whether the bear market is over, why he's still buying through the dip, how AI agents will drive bitcoin adoption, and why the rotation from AI hardware to human software is the biggest investment opportunity right now. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 - Intro 0:45 - Why bitcoin is down 50% & is the bear market over? 6:48 - What would convince Jordi to sell his bitcoin? 9:07 - Bitcoin as the S&P 500 of crypto 14:02 - Why bitcoin is safer than any company past 2030 17:45 - Bitcoin volatility vs. the stock market 22:22 - The five-layer AI stack & where revenues are missing 26:22 - Token budgets & the shift to specialized AI 35:10 - Are LLMs now commoditized? 40:30 - Peptides as the API key for the human body 49:24 - Healthcare, entitlements & the future outlook 55:12 - Jordi’s upcoming video & final thoughts

Anthony Pompliano 🌪

286,011 Aufrufe • vor 2 Monaten

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses

EXCLUSIVE: Microsoft just launched Copilot Vision in Edge—the first AI that can navigate the internet with you in real time. I sat down with Mustafa Suleyman (CEO of Microsoft AI) to discuss how it works, infinite memory, AI companions, agents, and more. Timestamps: 0:00 Intro 0:58 Microsoft Copilot Vision rundown 02:35 Initial reactions and use cases 04:57 How Copilot Vision works 06:02 Teaching AI to remember 08:13 How Microsoft AI is differentiating from OpenAI 09:27 The push for the true AI companion 11:28 Living with a co-intelligence in 10+ years 14:04 How Microsoft handles your data 16:11 When and how can you try Copilot Vision? 18:15 Agentic AI that controls your computer 20:25 What's next: support, gaming, and more 22:34 Preparing the next generation with Copilot 25:11 Mustafa’s advice for students and businesses

Rowan Cheung

268,106 Aufrufe • vor 1 Jahr

The US vs. China Manufacturing Debate My first debate between Sam D'Amico, founder of Impulse, and Aaron Slodov, founder of Atomic Industries. Timestamps: 0:39 Introductions 11:34 Is it possible to reverse America’s manufacturing decline? 16:37 Where would Sam invest $100M in a factory today? 21:28 How California made it illegal to do chemistry w metals 25:43 Elon on Tesla's Shanghai Gigafactory 32:01 Using the data center boom to pull advanced capabilities onshore 36:51 Building Chinese level capacity in America 38:33 The US Gov hasn't incentivized companies to build base level capacity 42:54 Why space companies have to vertically integrate their supply chains 45:06 The advantage of building a Chinese supply chain 49:10 Why Apple manufactures all their products in China 59:42 Apple exports engineering expertise 1:02:19 Consumer electronics 1:07:55 How the advent of humanoid robots will shift the balance of power 1:12:29 Why Apple spent hundreds of billions building their supply chains in China

The US vs. China Manufacturing Debate My first debate between Sam D'Amico, founder of Impulse, and Aaron Slodov, founder of Atomic Industries. Timestamps: 0:39 Introductions 11:34 Is it possible to reverse America’s manufacturing decline? 16:37 Where would Sam invest $100M in a factory today? 21:28 How California made it illegal to do chemistry w metals 25:43 Elon on Tesla's Shanghai Gigafactory 32:01 Using the data center boom to pull advanced capabilities onshore 36:51 Building Chinese level capacity in America 38:33 The US Gov hasn't incentivized companies to build base level capacity 42:54 Why space companies have to vertically integrate their supply chains 45:06 The advantage of building a Chinese supply chain 49:10 Why Apple manufactures all their products in China 59:42 Apple exports engineering expertise 1:02:19 Consumer electronics 1:07:55 How the advent of humanoid robots will shift the balance of power 1:12:29 Why Apple spent hundreds of billions building their supply chains in China

Ti Morse

227,937 Aufrufe • vor 5 Monaten

The Sam Altman Interview You know him as the CEO of OpenAI — but he's also an avid writer. We spoke not once but twice about how Sam captures ideas, clarifies his thinking, edits his writing, decides what to work on, and uses ChatGPT. Timestamps: 1:47 Will LLMs change how we write? 8:39 How does Sam use ChatGPT? 11:26 How Sam became less anxious 17:24 Sam once dreamed of being a novelist 18:37 Lessons from Peter Thiel 21:35 Lessons from Paul Graham 26:02 The book Sam Altman wants to write 28:37 Advice for startup founders 30:20 How Y Combinator shapes OpenAI 35:55 How Sam chose to work on AGI 37:35 Writing strategy memos at OpenAI 41:34 Why isn’t ChatGPT a better storyteller? 44:20 Sam's obsessive note-taking method 47:12 Will AI put writers out of work?

The Sam Altman Interview You know him as the CEO of OpenAI — but he's also an avid writer. We spoke not once but twice about how Sam captures ideas, clarifies his thinking, edits his writing, decides what to work on, and uses ChatGPT. Timestamps: 1:47 Will LLMs change how we write? 8:39 How does Sam use ChatGPT? 11:26 How Sam became less anxious 17:24 Sam once dreamed of being a novelist 18:37 Lessons from Peter Thiel 21:35 Lessons from Paul Graham 26:02 The book Sam Altman wants to write 28:37 Advice for startup founders 30:20 How Y Combinator shapes OpenAI 35:55 How Sam chose to work on AGI 37:35 Writing strategy memos at OpenAI 41:34 Why isn’t ChatGPT a better storyteller? 44:20 Sam's obsessive note-taking method 47:12 Will AI put writers out of work?

David Perell

239,731 Aufrufe • vor 1 Jahr

Episode #113: Howie: The AI Secretary I talked to austin petersmith at Howie about why AI assistants are so hard to build, deciding to make Howie super narrow, and everything that went into build the product, brand, naming, and viral launch video. Thanks to Hanover Park for supporting this episode! Stream here on X + link in the replies. Timestamps: 3:35 Howie: The AI Secretary 6:08 Why AI assistants are so hard to build 16:19 Why Howie started in email 20:49 Adding a human in the loop 30:48 AI software vs AI-powered humans 36:21 How a meme inspired Howie 39:29 Inside the making of Howie’s launch video 44:15 Howie’s viral launch video + Discussion 53:47 Designing the brand 1:01:37 Long-term opportunity and roadmap 1:07:53 Working for Jason Calacanis 1:12:00 Jason’s media lessons 1:16:51 How Howie got its first users 1:19:35 Pitch deck strategy that raised $6m 1:24:09 The mistake of optimizing for growth too soon 1:29:48 Building an AI company outside of SF 1:33:13 Being Superhuman’s 1st customer, Mercury’s 3rd

The Peel

92,828 Aufrufe • vor 10 Monaten

I spoke with Jordi Visser this week to break down: - AI mid-cycle slowdown - $90 trillion AI infrastructure buildout - memory and Micron's role in AI bottleneck - Fed under Warsh - what rate cuts could mean for markets - why bitcoin is positioned to be the best performing assets once the negatives of AI start to show up YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 1:20 - Has bitcoin bottomed? 6:03 - Bitcoin vs the Mag 7: is the correlation breaking? 9:00 - Sam Altman, OpenAI & the government getting involved 11:11 - American open source vs Chinese AI models 14:28 - AI compute demand & the infrastructure buildout 20:37 - AI slowdown: how bad, how long? 22:44 - Where do markets go from here? 27:30 - AI agents in the workplace & security risk 34:50 - Memory, Micron & the AI bottleneck 39:53 - The next 10-20 years: robots, AI & society 44:18 - The Fed, rate cuts & inflation's impact on AI 49:55 - Why bitcoin wins in the end

I spoke with Jordi Visser this week to break down: - AI mid-cycle slowdown - $90 trillion AI infrastructure buildout - memory and Micron's role in AI bottleneck - Fed under Warsh - what rate cuts could mean for markets - why bitcoin is positioned to be the best performing assets once the negatives of AI start to show up YouTube: Apple: Spotify: TIMESTAMPS: 0:00 - Intro 1:20 - Has bitcoin bottomed? 6:03 - Bitcoin vs the Mag 7: is the correlation breaking? 9:00 - Sam Altman, OpenAI & the government getting involved 11:11 - American open source vs Chinese AI models 14:28 - AI compute demand & the infrastructure buildout 20:37 - AI slowdown: how bad, how long? 22:44 - Where do markets go from here? 27:30 - AI agents in the workplace & security risk 34:50 - Memory, Micron & the AI bottleneck 39:53 - The next 10-20 years: robots, AI & society 44:18 - The Fed, rate cuts & inflation's impact on AI 49:55 - Why bitcoin wins in the end

Anthony Pompliano 🌪

64,370 Aufrufe • vor 1 Monat

I sat down with Jordi Visser to discuss why bitcoin is selling off, why software multiples are compressing, and how capital is shifting toward scarce, physical assets. We cover data centers, AI, energy, and semiconductors, plus insights on Elon Musk, Tesla, SpaceX, and what it all means for markets. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 – Intro 0:50 – Why is bitcoin crashing? 3:01 – The big crypto utility shift & why software multiples are collapsing 10:55 – The rotation: hardware/commodities outperforming software 17:14 – How AI agents disrupt legacy enterprise software 33:51 – Jordi’s “turbulence model” & what it’s signaling in markets 40:34 – Tesla/Elon: bull case, risks, & the path to $10T 50:25 – Should Elon merge Tesla + SpaceX + xAI + X? 53:22 – Wrap & what Jordi is publishing next

I sat down with Jordi Visser to discuss why bitcoin is selling off, why software multiples are compressing, and how capital is shifting toward scarce, physical assets. We cover data centers, AI, energy, and semiconductors, plus insights on Elon Musk, Tesla, SpaceX, and what it all means for markets. Enjoy! YouTube: Spotify: Apple: TIMESTAMPS: 0:00 – Intro 0:50 – Why is bitcoin crashing? 3:01 – The big crypto utility shift & why software multiples are collapsing 10:55 – The rotation: hardware/commodities outperforming software 17:14 – How AI agents disrupt legacy enterprise software 33:51 – Jordi’s “turbulence model” & what it’s signaling in markets 40:34 – Tesla/Elon: bull case, risks, & the path to $10T 50:25 – Should Elon merge Tesla + SpaceX + xAI + X? 53:22 – Wrap & what Jordi is publishing next

Anthony Pompliano 🌪

44,334 Aufrufe • vor 6 Monaten

My conversation with Jesse Zhang Decagon is building a customer service agent with AI, with plans for much more than that. It’s one of the more successful early AI applications, with tons of lessons for the rest of the market. I love how Jesse developed which problem to solve first, a set of lessons applicable to all entrepreneurs Enjoy Timestamps: 0:00 Intro 2:00 Competing in the AI Era 11:35 Finding Product-Market Fit 14:25 Anatomy of a Great Customer Interview 17:37 Everyone’s Wrong Until You Talk to Customers 19:25 AI Agents Replacing Human Labor 21:55 Why Customer Service 23:30 Coding vs. Customer Service 35:44 The Future of Voice and the Human UI 38:54 Why Voice-to-Voice Is So Hard 43:18 Learning from Customer Data 44:36 How CEOs Should Think About AI 47:06 The ROI of Coding and Productivity Tools 48:20 Every Brand Will Talk to You Through AI 56:00 Recruiting, Capital, and Demand 1:00:42 Investor Frenzy 1:22:17 The Long-Term Vision for Decagon 1:25:05 Kindest Thing

Patrick OShaughnessy

49,418 Aufrufe • vor 10 Monaten

I sat down with Nicolas Sharp, founder of Attio, to talk in depth about how his company is disrupting the $80 billion CRM market. Attio has raised $116m, is 4x'ing ARR and is one of the fastest growing companies in Europe. We talk about: - Why Attio went against all conventional wisdom and spent years 3 years building the product before launching - Why Attio doesn’t hire ‘Software Engineers’ and who they hire instead. - How Attio chose investors who would back a long-term bet against multi-billion $ incumbents - How Attio is building CRM from first principles for the AI era - Who should you avoid hiring at all costs, and who should you hire for your startup And so much more. If you’re interested in learning about the story of how Nick built Attio into the incredible company it is today and is disrupting one of the most important software categories, you’re going to want to see this. Enjoy // Timestamps 00:00 Intro 00:39 Why Attio spent 3 years building their product before launch 5:05 The Power of Building Systems, Not a Box of Features 9:05 How to know when it’s time to launch 13:30 Nick’s Playbook For a Killer Product Launch 18:09 How To Go From an Investor to a Founder 23:05 How Failure Led to Attio's Big Break 28:07 Why startups need to hire "Hidden Gems," 34:05 Fundraising 49:36 Why Attio Invests In Inexperienced Talent 55:07 The Case For Not Hiring Software Engineers (& Who You Should Hire Instead) 1:02:46 The 8 Persona Hiring Framework 1:09:05 How Attio doesn’t use OKR's 1:27:11 Where does Nick's Ambition and Grit come from? 1:36:59 How Attio is Building CRM from First Principles for the AI era 1:45:29 How to Successfully Market In A Crowded Industry 1:51:10 Breaking Down Attio’s Viral Marketing Strategies 2:02:15 The Change That Had The Biggest Impact on Customer Conversion 2:05:04 Why Attio created A “Reverse Trial” 2:10:16 Why Nick is building from London, not Silicon Valley 2:22:48 The 10-Year Vision for Attio

I sat down with Nicolas Sharp, founder of Attio, to talk in depth about how his company is disrupting the $80 billion CRM market. Attio has raised $116m, is 4x'ing ARR and is one of the fastest growing companies in Europe. We talk about: - Why Attio went against all conventional wisdom and spent years 3 years building the product before launching - Why Attio doesn’t hire ‘Software Engineers’ and who they hire instead. - How Attio chose investors who would back a long-term bet against multi-billion $ incumbents - How Attio is building CRM from first principles for the AI era - Who should you avoid hiring at all costs, and who should you hire for your startup And so much more. If you’re interested in learning about the story of how Nick built Attio into the incredible company it is today and is disrupting one of the most important software categories, you’re going to want to see this. Enjoy // Timestamps 00:00 Intro 00:39 Why Attio spent 3 years building their product before launch 5:05 The Power of Building Systems, Not a Box of Features 9:05 How to know when it’s time to launch 13:30 Nick’s Playbook For a Killer Product Launch 18:09 How To Go From an Investor to a Founder 23:05 How Failure Led to Attio's Big Break 28:07 Why startups need to hire "Hidden Gems," 34:05 Fundraising 49:36 Why Attio Invests In Inexperienced Talent 55:07 The Case For Not Hiring Software Engineers (& Who You Should Hire Instead) 1:02:46 The 8 Persona Hiring Framework 1:09:05 How Attio doesn’t use OKR's 1:27:11 Where does Nick's Ambition and Grit come from? 1:36:59 How Attio is Building CRM from First Principles for the AI era 1:45:29 How to Successfully Market In A Crowded Industry 1:51:10 Breaking Down Attio’s Viral Marketing Strategies 2:02:15 The Change That Had The Biggest Impact on Customer Conversion 2:05:04 Why Attio created A “Reverse Trial” 2:10:16 Why Nick is building from London, not Silicon Valley 2:22:48 The 10-Year Vision for Attio

Wouter Teunissen

26,369 Aufrufe • vor 10 Monaten

In 2005, Sam Altman was a Stanford sophomore in YC’s first batch, building a startup in a little Cambridge office while Paul Graham cooked the founders dinner. Twenty years later, as co-founder & CEO of OpenAI, Sam closed Startup School 2026 in conversation with Garry Tan — on agents, ambition, and why the ceiling for what a startup can take on has never been higher. 00:07 — From YC’s First Batch to Today 03:04 — What PG Taught Sam 04:17 — Why Startups Matter More Than Ever 06:57 — The Coming Golden Age of Ambitious Startups 09:30 — Why Startups Win During Technology Shifts 11:46 — Building OpenAI When Nobody Believed in AGI 14:45 — Finding People Who Share Your Conviction 18:05 — Help People Before You Know Why 19:43 — Earnestness, Ambition, and Ignoring the Haters 24:04 — The AI Safety Incident That Changed the Stakes 26:58 — Preventing AI From Concentrating Power 30:41 — How Fast AI Models Will Improve 36:06 — The Best Version of an AI Future 37:47 — “It’s All Going to Work Out”

In 2005, Sam Altman was a Stanford sophomore in YC’s first batch, building a startup in a little Cambridge office while Paul Graham cooked the founders dinner. Twenty years later, as co-founder & CEO of OpenAI, Sam closed Startup School 2026 in conversation with Garry Tan — on agents, ambition, and why the ceiling for what a startup can take on has never been higher. 00:07 — From YC’s First Batch to Today 03:04 — What PG Taught Sam 04:17 — Why Startups Matter More Than Ever 06:57 — The Coming Golden Age of Ambitious Startups 09:30 — Why Startups Win During Technology Shifts 11:46 — Building OpenAI When Nobody Believed in AGI 14:45 — Finding People Who Share Your Conviction 18:05 — Help People Before You Know Why 19:43 — Earnestness, Ambition, and Ignoring the Haters 24:04 — The AI Safety Incident That Changed the Stakes 26:58 — Preventing AI From Concentrating Power 30:41 — How Fast AI Models Will Improve 36:06 — The Best Version of an AI Future 37:47 — “It’s All Going to Work Out”

Y Combinator

68,273 Aufrufe • vor 12 Tagen

Waymo’s first autonomous demo took eighteen months. The product took fifteen years. Today the Waymo Driver runs 500,000 trips a week — 4 million fully autonomous miles across 15 cities, with 17x fewer serious-injury crashes than human drivers. At Startup School 2026, Waymo co-CEO Dmitri Dolgov shares the seven lessons behind that journey, from bridging the gap between a demo and a real product to building systems that can safely operate in the physical world. 00:07 — 7 Lessons From Building Waymo 02:21 — Why Physical AI Is Different 06:52 — The Gap Between a Demo and a Product 11:34 — Why Reliability Lives on an Exponential Curve 14:17 — Pick the Right Technology Curve 16:05 — Why Waymo Uses Cameras, LiDAR, and Radar 21:07 — Ride Every Technology Wave 24:43 — Inside the Waymo Foundation Model 30:09 — The Bitter Lesson Still Wins 36:41 — Why Every Physical AI Company Needs a Simulator 41:36 — Build an AI Flywheel 43:22 — Evals Are Your Competitive Advantage 46:09 — How Waymo Became 17x Safer Than Human Drivers 47:59 — The Next Decade of AI Will Be Physical

Waymo’s first autonomous demo took eighteen months. The product took fifteen years. Today the Waymo Driver runs 500,000 trips a week — 4 million fully autonomous miles across 15 cities, with 17x fewer serious-injury crashes than human drivers. At Startup School 2026, Waymo co-CEO Dmitri Dolgov shares the seven lessons behind that journey, from bridging the gap between a demo and a real product to building systems that can safely operate in the physical world. 00:07 — 7 Lessons From Building Waymo 02:21 — Why Physical AI Is Different 06:52 — The Gap Between a Demo and a Product 11:34 — Why Reliability Lives on an Exponential Curve 14:17 — Pick the Right Technology Curve 16:05 — Why Waymo Uses Cameras, LiDAR, and Radar 21:07 — Ride Every Technology Wave 24:43 — Inside the Waymo Foundation Model 30:09 — The Bitter Lesson Still Wins 36:41 — Why Every Physical AI Company Needs a Simulator 41:36 — Build an AI Flywheel 43:22 — Evals Are Your Competitive Advantage 46:09 — How Waymo Became 17x Safer Than Human Drivers 47:59 — The Next Decade of AI Will Be Physical

Y Combinator

58,218 Aufrufe • vor 5 Tagen