project, it’s certainly the most educational effort, with the entire endeavor packaged as a soup-to-nuts learning series in which hosts Jeff Guo and Kenny Malone speak with various AI experts and practitioners who offer some insight into what exactly our automated-media future might look like.You should check out the miniseries if you’re at all interested in this stuff, but for now, I’ll cut to the chase. The AI-generated episode isn’t great … but it isn’t bad, either.
Nevertheless, he’s aware it won’t be long before many of those frictions get ironed out, and despite the frustration, Malone was nevertheless fascinated by the fruits of the programs. “It kept generating stuff that was sometimes mediocre and sometimes boring, but then other times it would head off in a direction that was weird but really interesting,” he said. Like, for example, how the program suggested the use of a radio drama as a running thread through an episode.
Generative AI tools are generally talked about as systems that trade in patterns. To oversimplify in explanation, when a particular tool is trained on a model — an archive, a body of work — for the purposes of replication, what it’s broadly doing is constructing a framework out of historical patterns for application on novel prompts and new scenarios. In my mind, the fact that such tools were able to replicate’s aesthetic with some relative ease raises a few curious questions about style.
In the way that the anxious mind does, Malone’s existential spiral has only metastasized over time. “The technology will only get better,” he said. “This is a concern that’s way off in the distance, but it gives me the most anxiety: What is the value proposition of what we do? If what people want from a thing they listen to is a good way to mainline information, it’s going to be much cheaper to produce that very soon, if not already.
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