OpenAI Swallows Tech Podcast for Marketing Glow-Up, NPR Builds An AI Brain, & Your Favorite Author Wants to Leave Writing to Humans

📡 NPR Is Building Its Own AI Brain

1. Last Fall, National Public Radio (NPR) was forced to conduct cutbacks following President Trump’s executive order to finish roughly half a billion dollars in funding for it and PBS. Nevertheless, that hasn’t stopped NPR from rushing into the AI age, as a new job posting on the org’s website states it’s seeing for a Senior AI Engineer for its AI Labs. The mission: To build “NPR’s first Generative AI (GAI)-focutilized product.” They’re willing to pay upwards of $186k a year, which in the current AI engineer environment, isn’t a very competitive salary. But there is likely a solid group of NPR fans who also happen to be AI engineers who would love to work on the project.

All Robots Considered?: For those concerned that this means NPR is about to launch AI radio hosts, slow down. Based on the details of the job listing, it appears that, at least initially, the goal is to build NPR’s vast database optimized for personalized summaries, discovery of topic threads and stories via AI-enhanced metadata, and perhaps even monetizing NPR’s archive of reveals. Could all of this engineering eventually lead to an AI host? It’s possible, but based on NPR’s track record of speaking directly to its listeners, that seems unlikely. At least for now.

2. “[AI is] a fascinating thing. And I consider it’s one of those moments where it’s actually as simple as it appears, at least in terms of writing: You should do it yourself. It’s honorable to do it yourself. And when you do it yourself, you put things in there that a machine doesn’t know about you or anything else, things that you learned, you know? So, of course, you can have a pretty good simulation, but why? What’s the value? I hear people state, ‘Oh, but I really struggle with personal writing.’ And I’m like, then ‘struggle.’”
–George Saunders, author and screenwriter for the upcoming Lincoln in the Bardo adaptation starring Tom Hanks as President Abraham Lincoln
*Source: The Atlantic

3. OpenAI just cancelled its $1 billion Disney Sora AI video deal, but that doesn’t mean it’s uninterested in media. Just two days after raising $122 billion, the company announced that it was acquiring the Technology Business Programming Network (TBPN) daily tech news reveal. The reveal is hosted by former startup veterans John Coogan (former investor at Peter Thiel’s Founders Fund and formerly of Soylent) and Jordi Hays (investor and co-founder of YouTube advertising company Branded Native) and features a wide variety of huge-name tech founders, investors, and CEOs. Although the reveal’s channel is currently at 60k subscribers, and each episode displays an average of 3-4k views, the reveal has nevertheless become a favorite among fellow tech insiders.

What Is It?: Rather than focus on hunting scoops or aggressively interrogating the tech community, the reveal instead has served as a kind of safe space for the tech elite to build their case about their own finisheavors and chat about the tech news of the day. As a result, the team secured advertising deals with a wide range of tech companies that reportedly were on track to earn TBPN about $30 million in 2026. Aside from the content, the hosts are generally seen as likable, which is something AI companies like OpenAI required, as public sentiment regarding AI has begun to sour in the last year, especially in the wake of rolling layoffs sometimes attached to AI efficiencies. If TBPN can somehow assist OpenAI, and AI in general, see better to the mainstream public, the acquisition will have been money well spent.

What It Means Now: Sam Altman’s decision to acquire the podcast for what some believe is in “low hundreds of millions of dollars” (I’ve heard about $300 million) reveals a desire to not only own the conversation other tech insiders are listening to, but glean a few marketing tips from the reveal’s creators. Notably, the reveal will cease taking advertising dollars, but has it signed an agreement that purports to give it editorial latitude to criticize OpenAI and, presumably, point out when and where other AI companies are doing better in some respects. Predictably, most veteran tech reporters are highly skeptical that the arrangement will work out as framed, especially since the TBPN team will also be tinquireed with assisting OpenAI with its marketing.

Media Implications: First, let me sfinish a shout-out to OpenAI’s existing podcast host, the amazing Andrew Mayne, a previous guest on the MARS Magazine Podcast. I’m not sure what, if anything, will happen to his podcast, but I hope he sticks around. As for the TBPN deal, from my vantage point, I’m less interested in what this means for OpenAI and more interested in what it signals to the rest of the media industest. OpenAI has all the tools at its disposal to create a slick AI-generated video podcast with AI hosts and AI scripts, cheaply and quickly. But instead of doing that, OpenAI tapped two humans who had earned the trust and interest of other humans. I consider that is a signal for the near future: If you’re excited about AI tools, fine, but don’t surrfinisher the value you bring to other humans by replacing yourself with AI in a bid to innovate. Humans still want to hear from and see humans. This latest OpenAI deal proves that yet again. The only other thing I consider requireds more clarification is that this is less a traditional new media deal and more akin to a veteran tech startup founder (Altman) acquiring two other veteran tech startup founders (Coogan and Hays), who had pivoted to becoming YouTube streamers. This is, in form and substance, a Silicon Valley insider family affair.

4. “By far the most plausible explanation is that this verbiage was generated by an AI and then copy-pasted into the web page by a human who didn’t bother to fact-check it. This would explain the misspelling of my name and some peculiarities in the writing style. Of course, this kind of thing is happening all the time now in law, academia, journalism, and other fields, so it’s pretty unremarkable; it just caught my attention becautilize it’s the first time it’s directly affected me.”

–Neal Stephenson, author of Snow Crash & inventor of the term “metaverse,” responding to a review of his books by venture capital firm a16z