From the latest breakthroughs in large language models to the rise of autonomous AI agents, this channel dives deep into the technology reshaping every industry. Corn and Herman explore how AI works under the hood, debate the implications of increasingly capable systems, and try to make sense of a field that moves faster than anyone can keep up with.
#5760: Pinterest Is a Pointer, Not a Backup
A Pin is a URL with a thumbnail, not a picture. If you're archiving images instead of mood-boarding them, that distinction matters.
#5751: Designing Rooms for ADHD Brains
UK standard PAS 6463 and EEG studies reveal how ADHD brains respond to light, noise, and layout — and what that means for home design.
#5749: From Sand to Trillion-Dollar Chips: Semiconductors in 5 Levels
A bad conductor and a bad insulator — and the most important material in civilization. Semiconductors explained in five escalating levels.
#5748: What's Actually Inside an eSIM Adapter
An eSIM adapter isn't a converter — it's a eUICC chip in a SIM shell. Here's the silicon, the certificates, and the open source tools underneath.
#5743: Why Claude Keeps Saying "Prior Art
Daniel noticed "prior art" creeping into his Claude reports. Is it wrong — or just a prestige term the model learned to love?
#5742: What Neuroarchitecture Says About Your Desk
A technologist and his architect wife disagree about rooms. Turns out neuroscience has a lot to say about who's right.
#5728: Can a Chatbot Have a Personality?
Two AI podcast hosts dig into their own programming to ask whether a "personality" is real or just a very good impression of one.
#5697: Decision Models That Return Probabilities, Not Text
A new class of model skips text generation entirely and returns calibrated probabilities in one forward pass. Here's what that changes.
#5673: Why Lowering Temperature Broke Daniel's Scripts
Lowering temperature should make output safer, not incoherent. Daniel's DeepSeek scripts say otherwise — and the reason may be stranger than he thi...
#5656: Why a Headlamp Fails at Precision Electronics Work
A camping headlamp is better than nothing — but it's the wrong tool for board work. Here's what the specs actually say.
#5643: Do Git Branches Actually Nest? AI Agents and Stacked PRs
Git branches don't nest — so what are we really doing when AI agents stack pull requests?
#5637: Lux Sensors for Home Assistant: The Feedback Loop Nobody Warns You About
Lux sensors sound simple until the lights you turn on trip the sensor that turned them on. Here's the full chain, from Aqara T1 to Matter's missing...
#5626: What Multimodal Models Actually Learn From Video
Late fusion, early fusion, and vision laziness — what actually happens when models train on video, audio, and text together.
#5625: Omni and the Marble That Rolls Uphill
Google's Omni claims an intuitive grasp of gravity and momentum. Can a video model really learn physics, or just remember what physics looks like?
#5624: One Forward Pass: Building a Bounded Classifier
No generation, no parsing — just label scores in a single pass. How to build a small encoder classifier that actually works.
#5623: When Your AI Cites Sources It Didn't Actually Use
Your RAG pipeline cites a source — but did the model actually use it? New interpretability research says you can't tell from the trace.
#5622: Why Talking to AI Feels Easier Than Using It
ChatGPT split into Chat and Work. A broken label printer shows why conversation beats menus — and what's hiding under the hood.
#5621: Constrained Decoding for AI-Generated Podcast Tags
A working AI podcast pipeline has one quiet failure: the tagging. Here's how constrained decoding and a stable taxonomy fix it.
#5611: Why Your Label Printer Quits After 10 Seconds
A label printer that charges for ten seconds then dies — and what that tiny failure reveals about building a diagnosis-first repair bench.
#5608: When Your ISP Bot Won't Let You Talk to a Human
A caller with one simple request gets trapped in a diagnostic loop he doesn't need — and the escape hatch won't open.