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5日前

Building on open source AI? Hugging Face’s policy chief on the costs, risks, and trade-offs

Open source models are becoming more mainstream as enterprises, governments and startups alike rely on the promise of lower costs, more control, and more flexibility. But as increasingly capable models become more freely available, how do companies capture value? And with Chinese open models gaining ground, can American players keep up? On this episode of TechCrunch's Equity podcast, Rebecca Bellan caught up with Irene Solaiman, Chief Policy Officer and SVP of Strategy at Hugging Face, about what startups need to know before building on open models, from choosing the right tools and infrastructure to navigating the trade-offs shaping the future of open AI. Listen to the full episode to hear about: Why startups, enterprises, and governments are switching to open AI models to cut costs, and when it makes less sense to use the most powerful models. Who makes money when the models are free to use, and whether the companies building them can capture the value they create. Why the U.S. may need deep-pocketed players like Nvidia to build an open frontier model that can compete with China’s, and what’s at stake if Chinese models become the global default. How recent attacks on open AI platforms are raising a difficult question: how do you keep an open ecosystem secure without closing it off? 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
3日前

How a Blue Wave midterm might reshape the AI industry

Democrats’ historic victories in this week’s U.S. midterm elections could also transform the tech industry. The public voted on 41 data center-related ballot measures on Tuesday — in all but one, the majority voted to impose more restrictions on data center development. And even when data centers weren’t on the ballot directly, they were a major talking point, with newly-elected Democratic governors and congressmembers likely to support additional regulation. On the latest episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha discuss what the election will mean for the tech industry moving forward — not just when it comes to data centers (which OpenAI is already trying to rebrand), but also increased government scrutiny of Big Tech. Listen to the full episode to hear more about: Whether Google first satellite data center is ushering our orbital data center future If major layoffs at design software company Canva and website builder Squarespace can be blamed on AI Marvell’s $115 billion acquisition of Lumentum, in one of the largest deals in history Why CrowdStrike just acquired of two AI security startups What NBCUniversal’s investment in Indian microdrama startup Elo Elo means for the media landscape Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 0:47 Founder Summit recap and an Equity team update 2:23 Midterm results and the data center backlash 7:49 OpenAI rebrands data centers as “compute campuses” 10:57 Wall Street cools on the data center buildout 13:30 Regulatory certainty and building outside the U.S. 15:45 Canva and Squarespace layoffs 20:37 Can AI chatbots replace products like Squarespace? 23:22 Marvell’s $115B Lumentum acquisition 26:51 CrowdStrike buys Fiddler AI and Dreadnode 30:20 Micro drama startup raises $80M 30:59 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
10月30日

Anthropic’s S-1 is here. Does AI pay off?

After weeks of speculation and leaks, Anthropic finally released the S-1 filing for its IPO, showing revenue of $16.3 billion for the first half of 2026, with a net loss of $80.7 billion. At around the same time, former Yahoo CEO Marissa Mayer sparked a backlash after boasting about using her AI app Dazzle to answer questions about her daughter for a school presentation. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha dig into the long-awaited financial details behind one of the industry’s biggest companies, looking at both the enormous opportunities and the many, many risks. They’re also joined by Amanda Silberling to discuss a more basic question facing the industry: Are AI execs too out-of-touch to build products for normal people? Listen to the full episode to hear more about: What Anthropic’s S-1 reveals about its enterprise strategy Why an Apollo economist said that AI has delivered “zero financial payoff” New funding for Bedrock Robotics, a startup building self-driving excavators Why manufacturing accelerator Re:Build just raised $2.1 billion Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices
10月28日

The 'Vulnpocalypse' is coming for the internet’s aging code, says Wiz’s CTO

The PHP scare may have faded from your feed, but the cleanup is far from over. Last week, two critical bugs in the open source language behind roughly 70% of websites left organizations scrambling to fix their systems, with some taking sites offline until the vulnerabilities could be patched. According to researchers who found the bugs, this is only the beginning, as AI changes how quickly novel vulnerabilities can be uncovered and exploited. On this episode of TechCrunch’s Equity podcast, Rebecca Bellan talks with Tomer Schwartz, CTO of Exposure Management & AppSec at Google-owned Wiz, who was part of the scramble --- alongside OpenAI, research group Calif, and the PHP team --- to fix the bugs. On the show, Schwartz and Bellan get into what the race looked like from the inside, how early-stage startups can build with security in mind, and why patching by hand won’t scale. Listen to the full episode to hear more about: Why Tomer says Wiz couldn’t have found these bugs without AI, and how custom tooling tested dozens of ideas over a weekend. How a bug was able to sit in plain sight for more than a decade, and what changed to make it exploitable. Why leaks are almost baked into coordinated disclosure, and how Wiz planned for it. Who’s still unpatched and whether small business owners running WordPress sites need to worry. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify, and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices
10月23日

The PHP Armageddon reminds us that the internet is held together by glue and dreams

The internet is having an off week, to say the least. Security researchers at OpenAI and Google-owned Wiz used AI to uncover critical flaws in PHP, the open source language behind roughly 70% of websites, including those built on WordPress, WooCommerce, and Magento. The holes date back more than a decade, and now that a fix is out, companies are scrambling to patch their systems as attackers try to exploit the them. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Sean O’Kane, and Anthony Ha dig into why AI-powered bug hunting could make this the first of many internet-wide scares, what Elon Musk’s careful choreography says about where a Tesla-SpaceX merger is headed, and more of the week’s headlines. Listen to the full episode to hear more about: Elon Musk’s pledge to give every kid in America a SpaceX share, announced just hours after Anthropic unveiled its public benefit fund Character.AI’s bankruptcy, Disney’s deal to hire most of its staff, and Anthony’s case for rethinking what “acquihire” means OpenAI’s acquisition of Orchestra Bio and what it says about the company’s “no side quests” strategy Otter’s surprise $320 million raise from General Catalyst’s growth fund Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 0:00 – Intro: PHP security crisis, Tesla and SpaceX, and Otter.ai's $320M raise 0:55 – TechCrunch Disrupt recap and the Elizabeth Holmes documentary 2:50 – Critical PHP vulnerabilities threaten millions of websites 8:01 – AI's role in discovering and exploiting cybersecurity flaws 13:09 – The future of AI-powered cybersecurity 17:07 – Are Tesla and SpaceX finally merging? 19:10 – Elon Musk's influence over both companies' boards 22:50 – Why a Tesla-SpaceX merger could make financial sense 25:27 – Musk's plan to give American children SpaceX shares 27:08 – Character.AI's bankruptcy and Disney's involvement 30:21 – OpenAI acquires biotech startup Orchestra Bio 33:00 – Otter.ai raises $320 million from General Catalyst 35:30 – Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
10月9日

Amazon drops data center NDAs, and AI agents want your credit card

Amazon says it will stop using NDAs when negotiating data center deals with local governments, following a similar move from Microsoft earlier this year. Secrecy has fueled community backlash against AI infrastructure, with opposition leading to hundreds of proposed and enacted moratoriums from New York to San Francisco. Meanwhile, a wave of startups is betting that consumers will hand AI agents access to their inboxes, files, and credit cards — if they can get websites to let them in. On this episode of TechCrunch’s Equity podcast, Anthony Ha, Sean O’Kane, and Rebecca Bellan dig into whether ditching NDAs will change how data center deals get done, why trust may be the real product for personal AI startups, plus a couple of deals of the week. Listen to the full episode to hear more about: The White House’s plans to make plans with its new Super Intelligence Force Ghost’s $3,499 computer built to run AI agents around the clock, and why the Equity crew doesn’t see it going mass market Tab, Underdog, and Hark pitching privacy as their product, plus the business model that could turn your agent into a salesperson United, Apple, and Amazon putting up walls against outside agents Lambda’s reported $4 billion raise, and the single customer behind $35 billion of its backlog Uber’s $2.3 billion all-cash deal to get into the office catering space with ezCater We’ll see you next week at TechCrunch Disrupt 2026! Get 25% off your tickets with code Equity25, and we’ll see you on the Builders Stage Tuesday at 9 am. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 0:55 Trump’s “superintelligence force” and the great AI rebranding 3:19 Amazon drops NDAs on data center deals 9:17 Why the AI industry has a communication problem 12:51 Personal AI agents: finding money in your inbox 15:27 Ghost’s $3,500 computer built for personal AI 19:16 Trust is the product: privacy-first agent startups 27:36 Lambda’s $4B raise and the neo cloud backlog problem 31:22 Uber’s $2.3B move into catering 35:10 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
4日前

VC’s Gender Gap is Closing (But Not Fast Enough) with Paige Hendrix Buckner

Women and non-binary investors have doubled their share of partner seats at U.S. venture firms in less than a decade. But a title doesn't always come with power. In this episode of Build Mode, host Isabelle Johannesen sits down with Paige Hendrix Buckner, CEO of All Raise, a national nonprofit helping women and non-binary venture capitalists grow their power and influence. Paige shares how the share of women and non-binary people in partner-plus roles at U.S. VC firms grew from 9% to 18.8%, and why All Raise is now focused on a new measurement. She explains why a partner title doesn't guarantee check-writing authority, board seats, carry, or credit for deals, and how the attribution gap makes it harder for investors to build the track record they need to raise their own funds. They get into: What All Raise does and its strategy of community, data, and "lore" The attribution gap and why credit for deals matters Why sponsorship can make or break an investor's career Why more women are leaving to start their own funds How diverse VC firms change which founders get funded What the $124 trillion wealth transfer could mean for women LPs What good firm building looks like, from LP relationships to brand How AI is helping emerging managers run lean firms The different paths into a venture career Subscribe to Build Mode on Apple Podcasts, Spotify, or wherever you like to listen. And watch the full videos on YouTube. New episodes of Build Mode drop every Thursday. Hosted by Isabelle Johannesen. Produced and edited by Maggie Nye. Audience development led by Morgan Little. Special thanks to the Foundry and Cheddar video teams.
9月25日

Meta’s Muse just stole the spotlight from OpenAI and Anthropic

When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe someone should have asked: what pace? It’s turned into model drop week for both companies as Anthropic rolled out Opus 5.5, followed by OpenAI’s GPT-6 model updates just 90 minutes later. But the company that stole the spotlight this week was Meta, whose personal AI agent Muse is reportedly outpacing ChatGPT’s early numbers and is headed for smart glasses and a tiny Tamagotchi-style device next. On this episode of TechCrunch’s Equity podcast, Kirsten Korosec, Anthony Ha, and Sean O’Kane dig into Meta’s consumer AI strategy and what it means for the startups trying to build on top of this technology, from where the money is flowing to which AI products might actually become part of people's daily lives. They also get into a16z's new school for aspiring founders and two very different AI and hardware deals. Listen to the full episode to hear more about: How a16z's Horowitz Andreessen Academy plans to pave a new path for aspiring founders, and why the Equity crew sees echoes of the Thiel Fellowship and Silicon Valley's long-running anti-college streak Why Oura's $2.2 billion IPO looks more like a payday for existing shareholders than a major fundraising event for the company Ema’s $77 million raise to sell teams of AI agents that automate HR, IT, and finance workflows, with Google and Microsoft among its early enterprise customers 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
10月16日

Physical AI is more than robots, says the Nvidia veteran now investing in it

Amulya Vishwanath, who spent seven years leading product marketing for NVIDIA’s robotics platforms, says robotics is currently in its “Lego era,” with the basic building blocks like actuators, robotic hands, software, and safety standards still being rebuilt. This view runs counter to those who believe that robotics, powered by a general foundation model, is about to have its “ChatGPT moment” — that day when the shockingly capable chatbot was launched in late 2022. (General Intuition CEO Pim de Witte told Equity earlier this year that a single general foundation model would make much of today’s specialized robotics work redundant, and be that moment.) On this episode of TechCrunch’s Equity podcast, Dominic-Madori Davis caught up with Vishwanath to discuss where she’s writing first checks as the founder and managing partner of Techable VC. They also talked about what she’s learned as one of the first women executives to spin out of Nvidia and launch her own early-stage firm investing in physical AI across robotics, materials science, and life sciences. Listen to the full episode to hear more about: Why Vishwanath defines physical AI as more than robots: “a molecule, a material, a medicine,” or a machine on a factory line. What she means by “conscious automation.” Why the best opportunities solve big problems like family-run factories that can't find workers to surgeons facing burnout. Why she wants founders to see their VC as their moat, and how years at NVIDIA built the network she now uses for due diligence and customer introductions. Where she thinks the U.S. and China each have the edge, and why humanoids should be good for more than dancing. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and all the casts. You can also follow Equity on X and Threads, at @EquityPod. Chapters: 00:00 Intro 01:03 Amulya’s path from Intel to Nvidia, and why she left 04:39 What physical AI meant in 2018 vs. now 06:12 Beyond dancing robots: industrial and surgical use cases 09:31 What “conscious automation” means 12:12 Cutting through the hype: the “Lego era” of robotics 16:43 Why your VC should be your moat 20:30 Biggest bottlenecks for physical AI founders 22:30 U.S. vs. China in physical AI 25:43 Are humanoids just for entertainment? 28:10 The most promising near-term areas 29:22 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices
8月28日

Will TikTok and YouTube follow Meta’s new rules for teens?

Earlier this week, Meta agreed to pay $18 billion and make sweeping changes to how minors access its social networks to settle a lawsuit brought by 29 states. But the eye-popping settlement figure wasn't what caught the attention of the Equity podcast team. Instead, it was what Meta did next. The social media giant sent an open letter to TikTok and YouTube asking the companies to join it in setting industry-wide standards for teens, including daily time limits, blocking access to apps at night, and restricting notifications during school hours. But will these other companies follow? The Equity team doesn't think they will. On this episode of TechCrunch's Equity podcast, Rebecca Bellan, Kirsten Korosec, and Sean O'Kane dig into the Meta settlement, what it could mean for other social media companies, and more of the week’s headlines. Listen to the full episode to hear more about: How investors are pouring money into robotics startups and driving up valuations. For instance, Generalist reached a $3 billion valuation, while General Intuition hit the $6 billion mark. Even though robotics is a hot sector, there is pain point: robots still lack the know-how to do value-creating work. What senior reporter Sean O'Kane discovered when he dug into OSHA data connected to robotaxi companies like Waymo and Zoox. What self-driving truck startup Gatik's $200 million raise means for the sector. Hugging Face is reportedly being acquired by Nvidia. The team weighs in what this means for the industry. Subscribe to Equity on YouTube, Apple Podcasts, Overcast, Spotify and wherever you get your podcasts. You also can follow Equity on X and Threads, at @EquityPod. Learn more about your ad choices. Visit megaphone.fm/adchoices

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トップ番組

Building on open source AI? Hugging Face’s policy chief on the costs, risks, and trade-offs

How a Blue Wave midterm might reshape the AI industry

Anthropic’s S-1 is here. Does AI pay off?

The 'Vulnpocalypse' is coming for the internet’s aging code, says Wiz’s CTO

The PHP Armageddon reminds us that the internet is held together by glue and dreams

Amazon drops data center NDAs, and AI agents want your credit card

VC’s Gender Gap is Closing (But Not Fast Enough) with Paige Hendrix Buckner

Meta’s Muse just stole the spotlight from OpenAI and Anthropic

Physical AI is more than robots, says the Nvidia veteran now investing in it

Will TikTok and YouTube follow Meta’s new rules for teens?

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