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We didn't plan for this to be a slightly unhinged, super-nerdy episode but our finely crafted plan falls apart within the first fifteen minutes.
Instead of a breezy monthly catch-up, we dragged ourselves through everything from obscure local LLM architectures to state-mandated employment buffers, before finally arriving at the bug that almost broke the internet—and then arguing over whether you need to stockpile tinned fish.
Here is what we actually spent an hour and a half dissecting:
• Jimmy’s Niche Corner (Flint & Mercury 3): We kicked off with two models almost nobody listening will ever actually use. First, Flint—a 40B MoE coding model built via recursive self-improvement that runs on consumer hardware. Then Mercury 3, which ditched traditional next-token prediction to generate text in parallel via diffusion at 1,000 tokens a second. Very clever, extremely fast, and entirely irrelevant unless you’re an engineer building