All Episodes
Page 17 of 320 · October 2026
#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.
#6200: What Israeli Election Polls Hide Behind Seat Counts
A new open source tool simulates 100,000 election allocations from a single poll — and shows why "4 seats" is less certain than it sounds.
#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.
#6191: What Actually Happens During Fine-Tuning
Sixteen bytes per parameter in, two out — a walk through the forward pass, backward pass, and optimizer that turn a dataset into new weights.
#6190: When Your AI API Quietly Changes Under You
Same API name, different model behind it. How to tell when the thing you tested stops being the thing you're using.
#6189: What "Real" Improvement Actually Means in AI Evals
A p-value isn't the probability your result was luck. Here's what chance actually means in AI benchmarks — and why bold numbers need cross-examinat...
#6188: Every Way Linux Relieves Memory Pressure
Zram, zswap, swappiness, and the OOM killers — the full ladder Linux climbs when RAM runs out, and what to actually run.
#6187: Can Your Laptop Borrow Your Desktop's RAM?
Two gigabytes free on the laptop, sixty-four idle on the desktop next door. Can swap over the network actually help?
#6186: A Virtual Disk Inside Your Linux Filesystem
Loop devices let a plain file act as a real disk — format it, encrypt it, mount it from fstab. Here's what works, and what bites back.
#6185: Why AI Labs Sell a Tier Above the Flagship
Fable, Deep Think, SuperGrok Heavy — what the $300/month top tier actually does that the flagship can't.
#6184: Anthropic's Unreleased Model Two, Explained
Anthropic trained a model better than what it sells — and never released it. What that gap actually tells us.