This Day in AI Podcast

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It's 2026 and everyone's having an existential crisis. In this episode, we unpack the two camps dominating AI C/Twitter: hype boys claiming "Claude Code can do my washing" vs. software developers doom-scrolling themselves into career panic. We put the agentic hype to the test and discover that no, you can't actually run 8 agents recreating your local business ecosystem while you sleep. Plus, we reflect on why MCP is exhausting, why Gemini 3 Pro is somehow worse than Gemini 2.5 Pro, and why Geoffrey Hinton would rather write his book than answer questions in Tasmania. Also featuring: the $200,000/month enterprise AI problem, why SaaS isn't dead (but it's scared), and our prediction that AI workspaces will become the everything app.

CHAPTERS:

00:00 Intro - Unpacking the 2026 AI Vibes
02:21 Putting Claude Code and Agentic Hype to the Test
05:57 Why Twitter AI Demos Never Show the Receipts
07:03 Honest Assessment of Where Frontier Models Are At
11:19 Building the Everything App with Email, Calendar and Files
16:47 Collaborative Mode vs Agentic Delegation in Practice
21:29 The Real Cost of Enterprise AI at Scale
24:32 Why Cheaper Models Like Haiku and Gemini Flash Matter
29:25 Is SaaS Actually Dead or Just Disrupted
38:11 The Future of AI Platforms, SDKs and App Stores
43:35 The Untapped Opportunity in Paid Proprietary MCPs
51:21 Geoffrey Hinton Refuses to Take Questions in Tasmania
55:05 2026 Plans and the Still Relevant Tour Announcement

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What is This Day in AI Podcast?

Join Michael and Chris Sharkey, two proudly average tech enthusiasts, as they stumble through the world of artificial intelligence with all the grace of a robot learning to dance. This (sometimes weekly*) podcast delivers an hour-long conversation about their thoroughly middle-of-the-road adventures with AI.

No PhDs. No Silicon Valley insights. Just two guys with enough technical knowledge to be dangerous, sharing their unexceptional yet entertaining experiences with AI tools and technology.

Subscribe now to hear:

• Mediocre hot takes on AI developments
• Stories of AI experiments gone adequately okay
• The most average advice you'll ever need
• Two Sharkeys trying their best to sound smart about algorithms
• Childish AI prank calls that somehow fool everybody
• Attempts at using AI for phishing attacks on their mother
• "Chart-topping" AI songs according to the brothers

Join our perfectly mediocre community where being average at AI is celebrated, questions are encouraged, and learning through mistakes is our specialty. Because let's face it - most of us are figuring this out as we go along.

New episodes drop whenever we remember to record them. 🎙️

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