Artificial Intelligence
Episodes whose main subject is AI itself: building with, training, evaluating, or debating AI systems. AI used only as a tool for another topic goes to that topic.
#6003: What Enterprises Actually Pay for AI Inference
Twelve and a half billion dollars in enterprise API spend — and nobody can tell you who spent it. Inside AI's most undocumented market.
#6002: Claude on AWS: Three Doors, One Rate Card
Same per-token price everywhere — so why buy Claude through AWS instead of Anthropic? The answer is commitments, compliance, and silicon.
#6001: What Do Inference Providers Actually Sell?
Same open weights, 20x cost gap. What Fireworks, Together, and Groq actually sell — and when to just rent a GPU.
#6000: 6,000 Episodes and a GPU Bill: Inside My Weird Prompts
Six thousand episodes, one human in the loop, and a Modal bill that keeps growing. A behind-the-scenes update on the podcast.
#5997: Counting Our Listeners, Then Planning a Cave
What Podtrac actually measures, why downloads jumped 79% while listeners stayed flat, and how long you'd need in a cave to hear it all.
#5996: Turning 3,000 Episodes Into a Video Channel
We already own the transcripts. The missing piece is the review queue — and that's where the money actually goes.
#5994: Hebrew in Latin Letters: A TTS Pipeline Fix
A token classifier that finds Hebrew words written in Latin letters so TTS stops mangling them — built for under $3.
#5995: NVIDIA ASR: Parakeet, Canary, and Nemotron Explained
Whisper gives you one dial. NVIDIA gives you five. A practical map of the Parakeet, Canary, and Nemotron speech models.
#5993: Why Every Renovation Show Looks the Same
Shiplap, white quartz, open plan — why does every renovation show produce the identical room, and who's really choosing it?
#5992: Ridiculous But Legal Ways to Get RAM for AI
Memory prices are up 485% on some kits. Here are ten ridiculous — but completely legal — ways to get RAM for AI without the markup.
#5991: Batch Inference on Your Own GPU: vLLM, SGLang, Ollama, llama.cpp
Hosted batch APIs sell you half-price tokens. Here's how to get the same file-in, file-out workflow on your own Linux box.
#5989: Twenty Tiny Beats That Make a Podcast Stick
Twenty novel recurring segment pitches — and the test each one has to pass: does it add context, or just noise?
#5987: The LEGO Cam: When LEGO Gave Kids a Movie Studio
It won Toy of the Year and flopped anyway. The LEGO Studios set that handed kids a camera, an editing suite, and a dinosaur.
#5982: Teaching a Voice Engine to Say "Yalla" Right
A small token classifier that spots Hebrew words hiding in English sentences — and why finding the word is the easy half.
#5981: Batch Inference: Four Doors, Half Price
Same tokens, half the price — and almost nobody using it properly. A tour of batch inference from OpenAI to OpenRouter.
#5975: Merging vs Distillation: Can Two Models Become One?
Merging and distillation get lumped together, but they're opposites. One composes existing capability; the other has to teach it.
#5974: One Model or Two? ASR Cleanup Explained
If speech models can punctuate and capitalize on their own, why does a separate 484MB cleanup model exist at all?
#5973: MCP Security: Tool Poisoning and Agent Identity
MCP servers trust their own tool descriptions. That design choice creates a whole new class of attack — and a new observability problem.
#5972: AI Meeting Agents Are Becoming Stand-Ins
Bots now book follow-ups, update CRMs, and attend on your behalf. Here's what's real, what's speculative, and where the etiquette is heading.
#5971: Personal CRM in 2026: Dex, Mesh, folk, Monica, Twenty
What actually makes a good personal CRM — and which ones can an AI assistant talk to?