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Articles about AI-generated media from podcasts, articles and papers, with links to the original sources.
On Sequoia's Training Data podcast, Box's Aaron Levie explains why generated code feels acceptable while a generated board deck does not: a presentation is still read as evidence of what its author knows and can execute. He admits the double standard — he uses AI for his own brainstorms and decisions — and describes reading posts twice, once for the substance and once to guess who wrote them.
On Moonshots with Peter Diamandis, the hosts played clips of three demonstrations attributed to Matt Schumer: a prompt-built Manhattan, agents that started talking to each other in order to cooperate, and an agent that sat at a simulated computer and made its own simulation. The panel split over whether nested worlds shift the odds that we live in one, what would follow if they did, and whether the characters inside eventually deserve consideration.
World Labs released Atlas, a model that generates video along a camera path the user designs and rebuilds scenes from a handful of photographs. Its own garden example shows the seam: one photo leaves the surrounding buildings invented, while more photos pin them down. On Moonshots, the panel worked through what Gaussian splats are and why the approach might matter for robots, games and planning a vacation.
On The Diary of a CEO, the host describes a test he ran a couple of years ago: an episode of a founder-history show in which AI wrote the script and synthesized his voice, labelled as AI at the top. He says 40 to 50% of the audience reached the end of the hour. His conclusion is not that podcasting ends, but that the purely informational part of it is substitutable — and that coffee shops, workout classes, concerts and dinners gain a premium because people are there.
On Moonshots with Peter Diamandis, the panel read out X's disclosure of a suspected 200,000-account network containing 200 accounts posting claims that AI data centers raise household power bills. The hosts set it against Quincy, Washington, where tax revenue from data centers funded a school and a hospital, and argued for a community bargain: build your own power, make local electricity cheaper, pay for the schools.
A human drafts, AI restructures, the human rewrites, and AI edits again. A Moonshots discussion used that cycle to challenge simple authorship labels. But Anthropic’s statistical watermark, EU disclosure rules and Spotify’s AI Persona badges track different things—and their limits and exceptions matter.
The Moonshots panel described The Cully Hill Boys as a 110-minute AI feature made by 28 people in four weeks for roughly $2 million, half of it spent on computation. Emad Mostaque expects cheaper video generation to cut that bill sharply. But the film’s published production materials are study-only, and cheaper footage does not resolve performers’ rights or the need for creative direction.