Equity

Equity

By TechCrunch, Rebecca Bellan, Kirsten Korosec, Anthony Ha, Sean O'Kane, Theresa Loconsolo

The intersection of technology, startups, and venture capital touches everything now. That’s why Equity, TechCrunch's flagship podcast, digs into the business of startups for entrepreneurs and enthusi... more

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Best of Equity

The most played episodes among Podcast App listeners.

  1. Number 1: We're ‘dangerously close’ to dead internet theory according to Pangram's CEO

    The internet has a trust problem, and it’s not just because social media feeds are filling up with AI slop. AI-generated text and images are now making their way into job applications, product reviews, and even insurance claims, leaving platforms and users alike scrambling to figure out what’s real. A handful of startups have cropped up in the past couple of years to become the “trust layer” the internet needs — including Pangram. The startup recently snapped up $9 million for its AI detection system and landed a partnership with Substack, which is now using Pangram’s tech to show readers which of their favorite authors use AI to write their newsletters. Pangram also recently dropped a new AI image detection tool. On this episode of TechCrunch's Equity podcast, Pangram co-founder and CEO Max Spero joins Rebecca Bellan to dig into the promise of AI detection tools and where to draw the line between AI assisted and AI generated. Listen to the full episode to hear more about: Why Spero thinks the internet could be “dangerously close” to the dead internet theory becoming reality within a few years. Why figuring out how much AI went into something is harder — and potentially more useful — than simply labeling it AI or human. The stakes of getting AI detection wrong, especially when false positives involve sensitive images. Why Spero thinks the “bottom tier” of writing jobs may be gone for good, while genuinely good human writing could become more valuable. 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 1:15 Building Pangram: from binary detector to gauging AI assistance 2:06 Why job applications, reviews, and Amazon are drowning in slop 5:39 How Pangram actually spots AI writing 9:26 Where people draw the line on AI-assisted vs. AI-generated 12:50 The false positive problem, and "America has a Pangram problem" 14:30 Detecting fake images, now that AI photos are scarily good 19:13 Competing with GPTZero, Winston, and building "core infrastructure" 21:43 Will good writing jobs actually come back? 23:36 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

    26min
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  2. Number 2: From the Spotify Mafia to the Lovable Mafia: inside Stockholm's founder network

    Vibe-coding darling Lovable just raised $400 million at a $13.3 billion valuation, roughly doubling its worth in eight months. But Lovable isn’t the only Stockholm startup putting up huge numbers lately — legal AI company Legora and health tech startup Neko Health are right there with it. On this episode of TechCrunch's Equity podcast, Dominic-Madori Davis is joined by Sophia Bendz, a partner at Cherry Ventures and longtime fixture of Europe’s startup scene, to unpack what’s driving startup growth in the Nordic ecosystem, from Sweden’s social safety net to the wave of U.S. capital flowing in. Listen to the full episode to hear more about: How the “Spotify Mafia” set the template for founders funneling their time, capital, and hard-won lessons back into Stockholm ecosystem, and how the same cycle may be starting again with the “Lovable Mafia” Why Sweden’s social safety net might be fueling founders’ willingness to take bigger swings Why Bendz is seeing American investors flying into Stockholm and handing out term sheets with little to no diligence, and the culture clash that’s creating with local funds How Europe’s sovereignty conversation is shaping how founders and investors think about building, even as most of them still plan to IPO in New York 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 0:50 Why Stockholm’s startup ecosystem is accelerating 2:34 How Stockholm’s “Spotify mafia” passes knowledge down 4:10 Founders House and building a culture of mentorship 5:50 Does Sweden’s social safety net make founders more ambitious? 10:00 Is there a “Lovable mafia” now? 10:00 Europe’s push for tech sovereignty 14:00 The U.S. venture capital flooding Stockholm 18:08 How Europe can build more growth-stage funds 19:45 Founders are asking VCs, “How can you help me?” 21:05 Stockholm’s tech conferences 25:51 Could robotics become Stockholm’s next big thing? 29:45 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

    32min
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  3. Number 3: An ex-Anthropic researcher’s doomsday warning comes at a very interesting time

    An Anthropic researcher resigned this week, warning in a post on X that the company is “racing straight to self-improving superintelligence and gambling with our lives”. The company's own alignment lead even co-signed the message rather than walking it back. It's the kind of doomer warning the AI industry has flirted with before, but the timing, with Anthropic reportedly preparing for an IPO, makes it land differently. On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec, Anthony Ha, and Sean O'Kane dig into the latest AI safety warning and what it says about the industry's race toward increasingly capable models. Plus, Apple's first big event under new CEO John Ternus and more of the week's headlines. Listen to the full episode to hear more about: Why Apple leaned hard into AI at its hardware event, and how always-on features baked into the Watch and AirPods may matter more than the splashy new foldable iPhone How Stokes Space's $1 billion raise reflects a launch market that's suddenly wide open now that SpaceX is winding down its Falcon rockets Why investors poured $2 billion into coding startup Cognition at a $48 billion valuation, and what it says about how much room VCs think is left in AI coding What a $50 million seed round for floating nuclear reactors says about the scramble to power AI data centers 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 3:28 Anthropic researcher's resignation warning 9:33 What's actually being done about AI risk? 15:56 Apple's AI-first hardware event 19:56 The case against a standalone AI wearable 21:53 Always-on listening: watch, AirPods, and privacy tradeoffs 26:43 The foldable iPhone's odds 27:16 Stoke Space raises $1B for a reusable rocket 31:17 Cognition raises $2B, betting on room for more AI coding players 34:13 BlueCore Energy's floating nuclear reactors 37:38 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

    40min
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  4. Number 4: ControlAI's Connor Leahy on why superintelligence is ‘not a weapon, it's an adversary’

    AI companies have been talking about superintelligent AI like it's inevitable, but recent safety incidents like OpenAI's Hugging Face breach are demonstrating the potential dangers of deploying AI systems that are more capable than humans. So what happens when we can't reliably control what these systems do? On this episode of TechCrunch's Equity podcast, Rebecca Bellan is joined by Connor Leahy, an AI researcher, entrepreneur, and now the U.S. Executive Director of nonprofit ControlAI, which is pushing for a far more radical approach to AI safety: stopping companies from developing superintelligence altogether. Leahy explains why he thinks the risks have become too great to manage through alignment and containment alone, and how what sounded far-fetched six months ago is now being backed by a wave of new legislation. Listen to the full episode to hear more about: His take on the Sanders-Casar “Ban Superintelligence Act,” the parallel legislation in the U.K. that Control AI advised on, and why he thinks the U.S. bill may go further than necessary. How he views frontier AI labs less as companies simply chasing returns and more as political actors, and what that means for the trillions of dollars being poured into data center buildouts. Why Leahy thinks the real point of no return is when AI can build better AI, creating a potentially runaway cycle of self-improvement The case for international “trust but verify” agreements, and why Leahy thinks it isn't actually in China's interest to build superintelligence. 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

    44min
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  5. Number 5: Apple's Ternus era begins as Nvidia bets on the whole AI stack

    It's officially the Ternus era at Apple. Tim Cook stepped down as CEO this week, handing the company to former hardware chief John Ternus, whose first memo promised a “huge launch next week” — timing that puts Apple's next iPhone event on his desk before he's even settled in. Cook isn't going far, though: he's staying on as executive chairman, focused on the kind of policy relationships that recently turned something as small as a map label into a very public balancing act. All of which raises an obvious question: what does the Ternus era look like, and how much rope will shareholders give him to figure it out? On this episode of TechCrunch's Equity podcast, hosts Kirsten Korosec and Sean O'Kane unpack what Ternus is walking into, why he may actually be better positioned to make progress on software than hardware in this new AI era, and more of the week's news. Listen to the full episode to hear more about: Why Nvidia keeps making moves that look less like a chipmaker and more like a company trying to own the entire AI stack, from its Hugging Face acquisition to its investment in MediaTek and deeper compute deals A chaotic week for robotaxis: Tesla's Cybercab event, Waymo's expansion into new cities, Zoox's first paid rides, and what happens when these companies start competing head-to-head What Andreessen Horowitz's new $1.1 billion “Machine Age” fund signals about where early-stage AI hardware bets are headed Why the $285 million acquisition of GoPro marks the end of an era for one of Silicon Valley's original consumer tech darlings 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 1:12 Tim Cook steps down & John Ternus takes over as CEO 13:33 Nvidia's spreading its AI bets 21:58 A big week for robotaxis: Tesla, Waymo, Zoox & Uber 29:09 a16z's $1.1B "machine age" fund and $8.5B growth fund 32:39 GoPro's $285M acquisition and pivot to AI/defense 36:34 Outro Learn more about your ad choices. Visit megaphone.fm/adchoices

    39min
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