Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode! Garage Mind — AI, bourbon finds, and where AI is headed Tony and Bryan start with bourbon, then get into a lively debate about AI, automation, and whether the technology is moving faster than society can keep up. Along the way, they discuss hard-to-find bottles, whiskey prices, data centers, privacy, and the future of work. In this episode Bourbon finds and value: The hosts discuss Knob Creek 12 Year and the hunt for Jack Daniel’s Coy Hill, including the satisfaction of finding a sought-after bottle at retail.Whiskey reviews and tasting notes: They talk through Doc Swanson Exploratory Cask and Heaven Hill Bottled in Bond Double Mash, with notes of oak, cherry, vanilla, caramel, and a lingering proof-forward finish.Rye versus wheat: Tony and Brian compare how different mash bills can shape a whiskey’s sweetness, spice, and heat.AI’s pace and promise: They debate whether AI is overhyped or accelerating rapidly—and whether new regulations could protect the public or consolidate power among major companies.Data centers and privacy: The conversation turns to water use, local impacts, surveillance, and the vast amounts of personal data that could be stored and analyzed.Automation and jobs: They consider which jobs may be most vulnerable, how AI could change office and physical work, and whether people and machines will mostly work together.Everyday AI: They reflect on AI in phones, kiosks, and customer service—and how difficult it can be to tell when an automated system is pretending to be human.Timestamps Bourbon review: Doc Swanson Exploratory Cask 00:00 — Opening and introducing the whiskey01:48 — Mash bills, proof, and expectations04:04 — Nose notes: cherry, dark fruit, and licorice05:32 — A dry palate and proof-forward finish11:05 — Final verdictHeaven Hill Bottled in Bond Double Mash 00:26 — Brian returns and the bottle is introduced01:11 — What bottled in bond and double mash mean05:53 — Nose notes: caramel, oak, and sweetness12:06 — Palate: smoke, cherry, and vanilla20:48 — Is it worth the price?24:54 — Final rating and recommendationAI debate 00:02 — The discussion begins13:03 — Why AI feels like it went from new to everywhere14:16 — Regulation, competition, and concerns about monopolies21:15 — AI’s usefulness—and its mistakes27:15 — Is AI slowing down or about to accelerate?28:38 — Data centers, cooling, and water use30:27 — Surveillance and stored data34:57 — Which jobs might be replaced first?42:42 — Automation in everyday services51:32 — Final thoughts on efficiency, jobs, and AI’s futureNotable moments Copy “It's all about the community.” Copy “I think this is all burn.” Copy “We're building something that can dig on its own.” Takeaway Tony is concerned that AI could rapidly reshape work, infrastructure, and daily life. Brian is more skeptical about the pace of progress and thinks the hype may be running ahead of what the technology can reliably do. Their disagreement keeps the discussion open-ended: AI might boost productivity, but its effects on jobs, privacy, and resources still deserve scrutiny.