Taylor Lorenz’s Power User

A New Law That Could Destroy Open Source Forever 
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The US Senate recently introduced the Digital Age Assurance Act, a sweeping piece of legislation that could fundamentally alter how every operating system and internet-connected device works.
 
Under the guise of "protecting children online," this bill threatens to mandate ID verification directly into operating systems (not just social media or the internet, but operating systems themselves). This would impact everything from smartphones to PCs to open-source software like Linux. Obviously, this has huge implications for privacy, free speech, and the future of open-source development. 
 
On this week's Free Speech Friday, I sat down with Laz Pieper and Peter Van Valkenburgh from Coin Center to break down their viral Substack piece, "The Correct Term for Age Verification is Censorship." We dive deep into how turning open-source coders into regulated service providers violates First Amendment rights, how mass identity verification systems are dangerous, why the line between safety mandates and government surveillance is disappearing so fast, and what we can do to stop this law.

The movement to pause AI is gaining momentum, but can anyone actually stop the race toward more powerful artificial intelligence?
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In this week's episode of Power User, I’m joined by Washington Post technology journalist Gerrit De Vynck to unpack the growing backlash against AI, the activists calling for a pause on advanced AI development, OpenAI’s decision to slow development of its most advanced models, and the growing political fight over AI data centers.
We break down what the Pause AI movement actually wants, why AI safety activists are worried about superintelligence and rogue AI agents, and whether governments could realistically prevent companies from training increasingly powerful models.
We also discuss the growing grassroots backlash against AI data centers, Bernie Sanders’ role in the AI debate, the national security argument for continuing the AI race, competition with China, and why companies including OpenAI, Anthropic, Meta and Google have very different incentives when it comes to slowing AI development.
Most importantly, we look at a much bigger question: Is the rapid expansion of AI actually inevitable, or could public opposition, regulation and infrastructure constraints meaningfully slow it down??

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Anthropic just announced that Claude and all its AI tools will now watermark every piece of text a user generates, even if it's scientific research or computer code. In this episode of Free Speech Friday, I sit down with Neil Chilson, former FTC Chief Technologist, to break down exactly what AI watermarking is, how the EU AI Act transparency code is forcing this change worldwide, and why this could threaten your privacy and free speech.
We explain how probabilistic text watermarking works by subtly altering word choices in AI-generated content, why this creates serious problems for legal documents scientific research and creative writing, and how Anthropic's decision to apply these watermarks globally affects US users who never consented to this tracking. 
Neil also breaks down the cybersecurity risks, the potential for government overreach, and why open-weight AI models might be the only escape hatch from extraterritorial regulation.
 
If you use Claude, ChatGPT, Gemini, or any AI writing tool, (or even if you don't!) you need to understand how the EU AI Act transparency requirements are reshaping AI output behind the scenes. We discuss the dangers of compelled speech on digital platforms and what watermarking means for the future of anonymous online expression.
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Zuckerberg Wants AI to Know Everything About You 
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Mark Zuckerberg just published a massive 6,500-word manifesto laying out an aggressive vision for the future of AI. But is this really about democratizing technology, or is it a desperate PR move to catch up with OpenAI and Anthropic? 
I sat down with New York Times technology reporter Mike Isaac, who has covered Zuckerberg and Meta for more than a decade, to unpack what Zuckerberg is really proposing and why Meta is making such an aggressive push into AI right now.
We discuss Meta's battle with OpenAI and Anthropic, Zuckerberg's renewed embrace of open models, the company's massive data center buildout, the backlash against AI infrastructure, and why Meta may be trying to position itself as the alternative to the AI safety movement.
We also get into the biggest problem with Zuckerberg's vision, and Mike explains why Zuckerberg is suddenly talking to the media again, how far behind Meta really is in the AI race, what the company's next generation of AI agents could look like, and what to watch for at Meta Connect. 
 
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What happens when startups straight up stop hiring human creators and start leveraging industrial-scale bot farms powered by AI? In this bonus episode of Power User, I sit down with New York Magazine's Rebecca Jennings to discuss her investigation into Doublespeed, a massively viral new venture-backed startup founded by 21-year-old entrepreneur Zuhair Lakhani that aims to replace human influencers with an army of AI-generated personas. They've already raised over $1 million from Andreessen Horowitz. 
From sneaker botting and manufactured restaurant waitlists to operating thousands of cold Android phones from a desktop computer, Rebecca and I unpack the dark mechanics and patterns behind these bot armies running on phone farms in LA. We also discuss the total atrophy of the internet as we know it.  
We break down how AI bot farms work, why brands are turning to AI instead of human influencers, and how Silicon Valley is turning manufactured virality into a business. We also discuss the explosion of AI slop, the future of the influencer industry, the death of online authenticity, AI advertising, political manipulation, human verification and what happens when bots become indistinguishable from real people.