The Aboard Podcast

How does the current state of the AI industry look to a reporter on the ground? On this week’s episode, Paul and Rich are joined in the studio by longtime tech journalist Anthony Ha, who currently works as the weekend editor at TechCrunch. Does he ever get to cover anything other than AI these days? They discuss some of his recent stories and then assess what “craft” means in the age of AI, particularly among software developers. Eventually, they also get to the really important question: Why do Italians make such good desserts?

How can nonprofits introduce—and embrace—AI? On this week’s episode, Paul and Rich are joined by Allison Fine, the president of Every.org, a technology platform that helps nonprofits collect donations via a wide variety of methods. Nonprofit workers might be getting high-level directives from their boards to utilize AI, but what should they actually be doing in practice? Allison talks through some concrete use cases, as well as ways to handle reticence around AI within the org.

Paul and Rich are ready to answer your questions about AI—and beyond. On the inaugural episode of “Ask Aboard,” they tackle a trio of queries from some familiar faces. First, NYU’s Vice Provost for AI and Technology in Education, Clay Shirky, asks how we can personally protect ourselves in the wake of the Hugging Face incident. Next, an anonymous letter-writer wants to know how to deal with clients who can’t stop generating bad AI artifacts. And finally, journalist and editor Josh Tyrangiel gets to the heart of it all, asking: What’s the software equivalent of yacht rock?

How can we get politicians and Silicon Valley on the same AI page? On this week’s episode, Paul and Rich welcome on Jason Goldman, whose long career in tech has taken him from Blogger to Twitter to the Obama administration to his current endeavor, the Center for Shared AI Prosperity. “AI capabilities are advancing faster than the political system is responding,” CSAIP’s website reads; Jason explains the challenges around and different approaches to redressing this gap. Plus: as the host of the movie podcast Escape Hatch, Jason ranks his expectations for the fall tech industry films, and makes a big prediction about Dune: Part Three.

How is AI reshaping internet culture? On this week’s episode, Paul is joined by a journalist who has truly looked into the digital abyss: Business Insider’s Katie Notopoulos. Using a few recent AI-related stories Katie reported as a lens, they discuss the increasingly blurry boundaries between the real and the artificial on our social feeds. Katie is known for, among other things, her lists of the worst things on the internet; with AI, Paul asks, has “worst” somehow gotten “even worser”? Plus: In a classic reporter move, Katie flips the script and quizzes Paul about his 2014 essay on YouTube, “The American Room.”

LLMs are often far too powerful for the small tasks they’re asked to complete. Is the more-contained Jev the alternative? On this week’s episode, Paul and Rich read a question from tech writer John Pavlus about Jev, a new model from Typesafe AI that’s been a major topic of discussion in programming circles recently. LLMs, Rich suggests, are often like using a power riding mower to cut the grass of your tiny lawn. As Paul breaks down Jev and others like it into layman’s terms, they debate whether this kind of technology is the future—or if it’ll just be one more thing absorbed by the AI giants?

How is observability being redefined in the AI era? On this week’s episode, Paul and Rich sit down with Charity Majors, the co-founder and CTO of Honeycomb. After a crash course on observability, the conversation pivots to AI and its cascading effects—both on this subfield, and on the tech community overall. Some engineers try to plan for every eventuality, but Charity stresses that the best thinking comes when you accept that anything could go wrong at any time: “There’s liberty in chaos.”

Tech execs are sounding alarms about the dangerously fast pace of LLM development. Will any regulators stop them? On this week’s episode, Paul and Rich discuss a heady few days in the world of Big AI, as Dario Amodei called for a slowdown on AI development that was soon echoed by other leaders like Sam Altman and Elon Musk. Do their stated concerns actually match up to reality? In our current political climate, how realistic is the idea of government intervention? Plus: Paul does a pretty convincing imitation of a data center.

Problems with your boss? Why not fire up Claude and hit HR with a lengthy legalistic complaint? On this week’s episode, Paul and Rich look at the erosion of human-to-human communication in the AI era, springboarding off a friend’s anecdote about employees sending official-sounding LLM-generated documents to HR rather than starting with simple conversations. AI tools allow us to flood each others’ inboxes. Is that making it impossible to truly communicate?

All the investors are flocking to the Silicon Valley giants, but where is AI really making a difference on the ground? On this week’s episode, Paul and Rich welcome back writer and editor Josh Tyrangiel to talk about his new book, AI for Good: How Real People Are Using Artificial Intelligence to Fix Things That Matter. From hospitals to classrooms to the IRS, Josh has been chronicling the ways large and small that people are using AI to transform their fields. Plus: A discussion of the past, present, and future of the media industry, including that time Josh put airplanes having sex on a major magazine cover.