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.
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.
#6217: Fine-Tuning a Trillion-Parameter Model at Home
What does it actually take to full fine-tune a trillion-parameter model? Sixteen terabytes of optimizer state, hundreds of GPUs, and a very big bill.
#6216: What Do You Call the Middle Tier Model?
Sonnet, Sol, Flash, Medium — the daily-driver models nobody can name, and why they're squeezed from above and below.
#6215: Can Anyone Still Spot an AI Voice?
Clones now pass as human. Generic AI voices still don't. And the detectors? They fall apart in the wild.
#6214: Nobody Trains an Uncensored Model From Scratch
Every "uncensored" model is a renovation, not a new build — and the political lean lives in the agreement layer, not the refusals.
#6213: Ten Weirdest AI Evals Ever Published
A pelican on a bicycle, a badger for Groundhog Day, and a benchmark where passing is the bad outcome — the strangest AI evals ever run.
#6212: Woolly Sedate Snail and Other Model Failures
Most of Hugging Face's 2.96M models sit unread. But the dust has a personality — snails, pirates, and a matchbox that resigns.
#6211: Attention Is Still Winning: The Hybrid Model Census
Mamba layers shipped — inside hybrids. A census of Qwen, Nemotron, Kimi, Granite, and why MiniMax went back to full attention.
#6207: Two WERs, One Model: Inside ASR Eval Harnesses
Same model, same audio, two different word error rates. The gap lives in the normaliser — and that's just layer two of three.
#6205: Where Should Your Notebook Actually Run?
Colab's free GPU comes with a 12-hour wall and hidden secrets in your saved outputs. Here's where notebooks should actually live.
#6203: How Claude Code Sessions Message Each Other
Two terminals, one machine: how Claude Code sessions find each other by name, pass messages, and subscribe to an idle ping.
#6202: Israel Votes, Part 6: Asking the Decision Models
Two decision models, identical evidence, one table of betting prices — and both flip their pick for Israel's next leader.
#6201: Inside Cloudflare's Clef: A Language Model That Can't Speak
Cloudflare's Clef reads text, images, and video but outputs only probabilities — no words. Here's what's actually under the hood.
#6199: Running AI Experiments Before an Election
What MLflow, Braintrust and notebooks actually do when you have five days and one forecast to get right.
#6198: Benchmarking a TTS Model on Your Own GPU
Real-time factor, warm-up artifacts, and why an 8-bit quantized speech model might not run any faster.
#6197: Talking to Your Own Voice Clone
What actually happens when you sit down and talk with an AI clone of your own voice — and what Evan Ratliff's Shell Game revealed.
#6196: Fine-Tuning ASR: When Your Model Memorizes You
Your fine-tuned speech model aces your training recordings — but does it actually work on fresh audio?
#6195: Me and My Voice Clone
Daniel talks to his own voice clone. He recorded his lines on a phone; the clone's lines are Meorav v2, a model trained on 88 minutes of his voice.
#6194: Teaching a TTS Model His Own Accent
One man fine-tuned a text-to-speech model on his own voice to get Irish-accented English that can say Hebrew words mid-sentence.
#6193: Why Email Images Still Phone Home
That "load remote images?" prompt is older than your phone. Here's what fetching a picture actually tells the sender.
#6192: What Actually Happens When You Train a Model
Data in, model out — except the "data" is pairs, the split is the whole game, and one leaked speaker can fake your score.