TechCrunch

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起業

起業

アップデート：毎週
テクノロジー

テクノロジー

アップデート：毎週

5日前

Did you know you can't steal a charity? Don't worry. Elon Musk will remind you.

Elon Musk spent the better part of three days on the witness stand this week in his lawsuit against OpenAI, and it's already getting messy. Emails, texts, and his own tweets are surfacing in court, and there are plenty more witnesses to come. Musk's argument against OpenAI? By converting the company to a for-profit model, Sam Altman betrayed the “nonprofit for the benefit of humanity” mission Musk signed up to fund. As Musk keeps reminding the courtroom: “You can't steal a charity.” On this episode of TechCrunch's Equity podcast, Kirsten Korosec and Sean O'Kane break down what's actually at stake in the courtroom and what to watch for as Altman and others take the stand, plus deals, defense tech, and what Big Tech's earnings week revealed about the limits of the AI spending era. Listen to the full episode to hear about: Why cloud was the winner of earnings week, and what AWS, Google, and Microsoft's numbers say about where enterprise AI spending is actually landing The scholarship app founder taking Sallie Mae to court after they acquired his startup…and began selling its student data to ad networks and universities BMW i Ventures new $300 million fund with its sights set on AI How defense tech startup Scout AI is pitching “military AGI” using vision-language-action (VLA) models Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

5日前

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38分
4月29日

Is AI video just a prequel? Runway's CEO thinks world models are next

AI-generated video has gone from novelty to creative tool in AI-generated video has gone from novelty to creative tool almost overnight, and Runway has a front-row seat to the shift. The New York-based company has raised close to $860 million at a $5.3 billion valuation, and its models are going toe-to-toe with the most well-funded labs in the world, including Google and OpenAI. And the technology goes way beyond making videos: it's now pushing into general world models with applications in gaming, robotics, and maybe something closer to general intelligence. On this episode of TechCrunch's Equity podcast, host Rebecca Bellan sits down with co-founder and CEO Cristobal Valenzuela to talk about where video generation goes from here, and why Runway's ambitions now reach well beyond Hollywood. Listen to the full episode to hear about: Why Valenzuela thinks the real constraint on filmmaking has never been technology, and what changes when it is How Runway thinks about world models differently than Google and other labs building in the space What "nonlinear media" means, and why real-time video generation opens up use cases way beyond content creation Why Valenzuela pushes back on the idea that AI companions are “inherently dystopian” Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:56 Can AI really replace Hollywood? 04:18 Why "AI slop" fears miss the point 08:23 Research lab, software company, or creative studio? 13:42 From video generation to world models, explained 17:36 Omni models and multimodal training 17:50 The three pillars: linear media, non-linear media, physical AI 19:31 Real-time video and the "Characters" product 22:33 Are AI companions inherently dystopian? 25:59 Physical AI and robotics 28:35 Where growth is coming from: enterprise and prosumer 29:31 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

4月29日

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32分
4月24日

Apple's new CEO, and why Elon Musk wants to buy Cursor for $60B

A new era is on the way for Apple as Tim Cook plans to step down from his CEO role in September, handing the reins to hardware chief John Ternus. Ternus may be inheriting one of the most durable businesses in tech, but he’s also stepping into a very different ecosystem than the one Cook spent decades shaping. The App Store’s 30% cut is under pressure, the behind-the-scenes power Apple once held over developers is being challenged, and AI-native apps are changing what it means to build on Apple’s platform. On this episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into what this transition means for startups and a closer look at some of the week’s biggest deals — including SpaceX's $60B option on Cursor. Listen to the full episode to hear about: Why Anthropic’s Mythos model is raising questions about both safety and marketing The $5 billion Amazon-Anthropic deal that looks a lot like every other circular AI infrastructure play What the SpaceX-Cursor agreement (and that $10 billion breakup fee) says about Elon Musk's AI strategy post-xAI merger Why fintech Revolut and AI chip startup Cerebras' public market plans have us wondering whether this is actually the year the IPO market reopens Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:26 Anthropic's Mythos accessed by “unauthorized groups” 04:28 Is Amazon's $5B Anthropic investment just another circular deal? 09:53 SpaceX and Cursor’s $60B option 18:25 Is this finally the year of the IPO? 21:38 SpaceX, Revolut, and Cerebras: the IPOs to watch 26:41 Tim Cook's retirement plans 29:15 What a new Apple CEO means for startups and the App Store 35:59 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

4月24日

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38分
2月21日 · ボーナス

Build Mode: Compensation, culture, and cap tables with Yuri Sagalov, GeneralCatalyst

TechCrunch's founder-focused podcast, Build Mode, is back. This season we’re breaking down what it really takes to build a world-class founding team starting with your cap table, equity structures, and startup compensation strategy. We kick off with Yuri Sagalov, managing director at General Catalyst and former founder, YC partner, and seed investor at Wayfinder Ventures. Yuri has worked with hundreds of pre-seed and seed-stage startups, and he shares practical advice on how early-stage founders should think about startup equity, cap table design, investor selection, and compensation structures from day one. He breaks down: The 3 types of investors (and which one to avoid) Why your cap table is part of your team The 20–25% seed dilution rule How to split equity with a co-founder How to talk to early employees about risk and compensation No matter where you are in your startup journey, this episode will help you get the incentive structure right from the beginning. Chapters: 00:00 - Why your first hires deserve more equity 00:31 - Meet Yuri Sagalov (YC → General Catalyst) 02:12 - Your cap table is part of your team 02:50 - The 3 types of investors (avoid this one) 05:02 - How to split equity with a co-founder 07:55 - How much equity to give early employees 09:37 - How to talk compensation and risk 12:31 - Red flags in formation docs and vesting 18:27 - Advisors for equity? Usually a mistake 20:05 - The 20–25% seed dilution rule 26:03 - The shift to 10-year stock options 34:11 - Don’t scale before product-market fit 39:23 - Final advice: Just start and choose your co-founder carefully New episodes of Build Mode drop every Thursday. Hosted by Isabelle Johannessen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams. Learn more about your ad choices. Visit megaphone.fm/adchoices

2月21日 · ボーナス

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43分
4月17日

Tokenmaxxing, OpenAI's shopping spree, and the AI Anxiety Gap

The gap between AI insiders and everyone else is widening, and the spending, suspicion, and even new vocabulary are starting to show it. While OpenAI is busy buying up everything from finance apps to talk shows, a certain shoe company just rebranded as an AI infrastructure play, and Anthropic unveiled a model it says is too powerful to release publicly ...but apparently not too powerful to demo to Federal Reserve Chair Jerome Powell. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into what's actually being built in AI infrastructure, who's winning the enterprise battle between OpenAI and Anthropic, and more of the week's headlines. Listen to the full episode to hear about: Why chipmakers AMD, Arm, and Qualcomm just piled $60M into UK self-driving startup Wayve, and what Uber's $300M milestone bid says about who's winning the AV race How data center startup Fluidstack is positioning itself for the frontier labs, including a reported $50B agreement with Anthropic What Claude Code's moment at the HumanX conference reveals about where the OpenAI vs. Anthropic rivalry is actually playing out Why tokenmaxxing, and Meta's leaked internal leaderboard, might say more about optics than actual productivity Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:25 Allbirds is now an AI company, apparently 04:48 Why chipmakers are betting on Wayve 12:01 Fluidstack wants $1B to build AI data centers 16:24 OpenAI buys a finance app and a talk show 21:27 Anthropic vs. OpenAI in enterprise 24:15 The Anthropic model they won't release to the public 26:47 Why AI feels so distant to everyone else 30:47 What even is tokenmaxxing? 34:49 Parasail's $32M bet on cheaper AI inference 36:39 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

4月17日

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39分
4月22日

Fusion doesn't have a normal startup timeline, and investors are fine with that

Fusion energy has been "20 years away" for decades, but has the science finally caught up? Private investment in fusion companies surged from $10 billion to $15 billion in just months, and the money is coming from places you wouldn't expect. On this episode of TechCrunch's Equity podcast, Rebecca Bellan and guest host Tim De Chant sit down with Rachel Slaybaugh, general partner at DCVC, to break down why serious investors are finally treating fusion as a real asset class, and what the return thesis actually looks like when no one expects a power plant in their fund lifetime. Listen to the full episode to hear about: Why the investment thesis for fusion looks less like traditional VC and more like biotech or SpaceX, and what "fusion euphoria" has to do with it What the Q value milestone actually means, and how close leading startups are to hitting the number that could trigger a public market opening How superconducting tape and AI-assisted plasma physics are quietly doing as much work as the big headline science breakthroughs Why one fusion company merging with Trump Media and Technology Group had Tim doing a double-take at his inbox Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

4月22日

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34分
2月13日

AI burnout, billion-dollar bets, and Silicon Valley's Epstein problem

AI companies have been hemorrhaging talent the past few weeks. Half of xAI’s founding team has left the company — some on their own, others through “restructuring” — while OpenAI is facing its own shakeups, from the disbanding of its mission alignment team to the firing of a policy exec who opposed its “adult mode” feature. On this episode of TechCrunch’s Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the week's biggest deals and departures, from billion-dollar bets on fusion and robotics to the tech exodus reshaping AI companies. Listen to the full episode to hear about: Why humanoid robot startups are raising nearly $1 billion and partnering with Google DeepMind Whether fusion power startup Inertia Enterprises can actually deliver on its 2030 timeline, and why investors keep betting millions What the Epstein files reveal about Silicon Valley dealmaking, particularly during the EV boom Why AI Super Bowl ads might not be landing outside Silicon Valley Chapters 00:00 Intro 02:46 AI Super Bowl ads ⁠aren’t quite landing⁠ outside of Silicon Valley 04:31 Apptronik raises $935M for humanoid robotics 09:05 Will automakers partner with humanoid robotics startups? 13:05 Inertia Enterprises raises $450M for fusion energy 18:44 What the Epstein files reveal about ⁠Silicon Valley dealmaking⁠ 30:56 The exodus at xAI and OpenAI, and what it means for the AI race 37:22 Outro Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

2月13日

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39分
4月10日

Luma AI's Amit Jain on why most world model companies are getting it completely wrong

LLMs may have kicked off this AI boom, but the ceiling is closer than the hype suggests. As models run out of text data to train on, the companies and investors paying attention are already moving on. The next wave isn't better chatbots; it's machines that can understand the physical world. Luma AI, the Bay Area lab that raised over $1.4 billion from a16z, Nvidia, and Amazon, is betting on exactly that. On episode of TechCrunch's Equity podcast, we’re bringing you a conversation Rebecca Bellan sat down with Amit Jain, co-founder and CEO of Luma AI, at Web Summit Qatar. Together, the pair dug into where the next trillion-dollar AI opportunity actually gets built, and whether the companies chasing it even know what they're building yet. Listen to the full episode to hear about: Why video, audio, and images are the real frontier for AI training data, not text What an "intelligent world model" actually is, and why Jain thinks most companies building them are getting it completely wrong The case for why AI won't kill creative jobs, and why Jain thinks studio heads are the real problem How the path from video generation to robotics to AGI is simpler than anyone's making it sound Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:13 Why LLMs are hitting a ceiling 02:43 The data problem & what comes after LLMs 04:30 What actually makes a world model a world model 06:05 Why 3D data is a dead end 07:39 What Luma is building next 09:08 How much humans stay in the loop 10:00 Near-term use cases for agentic video 11:22 Will AI kill jobs in film & production? 13:30 Why the entertainment industry is already dying 15:27 Why we actually need more content, not less 17:46 Luma's roadmap: generation, understanding, and robotics 19:54 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

4月10日

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22分
3月20日

Nvidia has an OpenClaw strategy. Do you?

Jensen Huang took the stage at Nvidia's GTC conference this week in his signature leather jacket to deliver a two-and-a-half-hour keynote, projecting $1 trillion in AI chip sales through 2027, declaring that every company needs an “OpenClaw strategy,” and closing with a rambling Olaf robot that had to get its mic cut. The message was hard to miss: Nvidia wants to be foundational to everything, from AI training to autonomous vehicles to Disney parks. On this episode of TechCrunch's Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O'Kane break down what Nvidia's growing web of AI infrastructure partnerships actually means for startups, and more of the week's headlines. Listen to the full episode to hear about: Travis Kalanick’s return building a "wheelbase for robots" with his new startup Atoms, and the crew has questions about Kalanick’s acquisitions along the way Rivian’s partnership with Uber to build robotaxi versions of its R2 in a deal worth up to $1.25 billion, while pushing back its EBITDA target to do it Frore landing a $1.64 billion valuation for its AI chip cooling systems xAI rebooting, again, with only two of its original eleven co-founders still standing Garry Tan's Claude Code setup went viral at SXSW (Spoiler: the crew is not impressed). Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 00:20 Garry Tan's Claude Code setup goes viral at SXSW 03:37 Travis Kalanick is back with a new startup 12:51 Uber and Rivian's $1.25B RoboTaxi deal 20:54 Chip cooling startup Frore becomes a unicorn 22:56 Nvidia GTC recap: $1 trillion in sales projections 31:42 Elon Musk is rebooting xAI...again 36:37 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

3月20日

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38分
2025/11/19

January Ventures bets AI's biggest winners won't come from Silicon Valley

While everyone's chasing the next AI infrastructure play in San Francisco, some of the most defensible AI companies are being built by founders with deep expertise in legacy industries — and they're not getting funded. January Ventures aims to fill that gap, writing pre-seed checks for underrepresented founders transforming healthcare, manufacturing, and supply chain with AI. At TechCrunch Disrupt 2025, Dominic-Madori Davis sat down with Jennifer Neundorfer, Co-Founder and General Partner at January Ventures, for a live episode of Equity. The pair dug into how early-stage investing is changing in the age of AI and why building different networks matters. Listen to the full episode to hear about: How AI is enabling pre-seed founders to do far more with less capital, and what that means for proof points at the earliest stages Why January looks for founders building for where the technology is going, not where it is today, and how market expertise is becoming a critical moat The state of funding for underrepresented founders in 2024, why progress has stalled despite increased awareness, and where the real opportunities lie Subscribe to Equity on Apple Podcasts, Overcast, Spotify and all the casts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

2025/11/19

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29分

TechCrunch podcasts cover the business of technology, startups, venture capital funding, crypto, and the humans behind it all.

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TechCrunch

トップ番組

Did you know you can't steal a charity? Don't worry. Elon Musk will remind you.

Is AI video just a prequel? Runway's CEO thinks world models are next

Apple's new CEO, and why Elon Musk wants to buy Cursor for $60B

Build Mode: Compensation, culture, and cap tables with Yuri Sagalov, GeneralCatalyst

Tokenmaxxing, OpenAI's shopping spree, and the AI Anxiety Gap

Fusion doesn't have a normal startup timeline, and investors are fine with that

AI burnout, billion-dollar bets, and Silicon Valley's Epstein problem

Luma AI's Amit Jain on why most world model companies are getting it completely wrong

Nvidia has an OpenClaw strategy. Do you?

January Ventures bets AI's biggest winners won't come from Silicon Valley

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