Most people picture AI helping with emails and slide decks — not diagnosing a broken hydraulic system on a 32-foot commercial fishing boat with no cell signal. That’s exactly the problem Jason ran into on a two-week fishing trip to the Kenai Peninsula, in the middle of one of the weakest sockeye runs Cook Inlet has seen in recent memory. When the boat’s hydraulics failed mid-haul, Jason ran the same questions past two sources at once: a group of veteran fishermen with decades of hands-on experience, and ChatGPT, working off nothing but a nameplate photo and a few blurry pictures of a cracked part. In this episode, Jeremy and Jason unpack what actually happened when AI met a problem with no manual, no internet, and no room for a wrong answer — and what it means for the much bigger claim that AI only works at a desk.
Key Moments
Key Moments (Show Notes):

• 0:00 — Jason's cold open: using ChatGPT to solve a 1970s boat problem with almost no signal
• 0:27 — Two weeks commercial fishing near the Kenai during one of the worst harvests in decades
• 1:58 — Learning the ropes as the "greenhorn" — and being told to stop being gentle with the fish
• 3:46 — Six-to-nine-foot swells hit and the hydraulic reel stops turning mid-haul
• 8:12 — Consulting ChatGPT and "the oracles" (the veteran fishermen at Camp Dignity) at the same time
• 10:39 — How AI identified a broken part and its likely manufacturer from four blurry photos
• 11:31 — Why nobody on the boat said "it's broken, game over"
• ~13:00 — (approx.) The AI drone idea runs into an Alaska flight regulation nobody expected
• 14:56 — The "boat mechanic out of a job" question — and why it doesn't hold up
• 16:07 — The real risk out there (and why it isn't the robots)