KETTLE Like a drug dealer who's hooked you and raised their prices, business leaders are simply shocked to learn the AI their organizations are becoming dependent on is suddenly a lot more expensive. You can listen to the latest episode of The Kettle right here on this page, as well as on Spotify, Apple Music, or YouTube where you can subscribe to get notified of the latest episode.
Kettle host Brandon Vigliarolo is joined by Reg reporter Lindsay Clark and contributor Joab Jackson this week to discuss their recent stories about the rising cost of enterprise AI - and one way a popular open source project is trying to fight tokenmaxxing with tokenminning - but the question remains whether such measure will be enough to prevent cost-benefit analyses from popping that bubble.
Will the AI industry adapt to the fact it's still unprofitable, blowback from usage-based billing, and a desire to not pay AI models as much as the human devs they're supplementing or replacing? That's what's on the hob for this week's episode.
A lightly edited transcript is below:Brandon:Welcome back to The Register Kettle podcast. I'm Reg Reporter Brandon Vigliarolo, and you're going to be absolutely shocked to discover what we're talking about this week. I'm kidding, of course, it's AI. Specifically the fact that it seems the world is starting to wake up to how much it costs to actually run these giant models that are supposed to make life easier for enterprises and their employees, but it seems like they're leading to some invoice shocks.With me to talk about the latest panic over AI costs are Reg reporter Lindsay Clark and our contributor Joab Jackson. Thanks to both of you for coming on.Lindsay Clark:No problem, thank you.Joab Jackson:Thank you.
