Computing
Non-AI computing: networks, servers, hardware, software engineering, and digital security and privacy.
#6048: Under the Hood, October 2026: Seventeen Prompt Versions and Three-Times-Faster Voices
Four weeks of pipeline changes, grounded in the code: grace periods, duplicate detection, Hilbert's rules, echo deletion, and voices nearly three times faster.
#6044: One Door for Every AI: Cloudflare MCP Portals
Cloudflare's MCP Portals put every on-prem MCP server behind one authenticated endpoint — and why service tokens can't work for ChatGPT.
#6041: How CENO Moves a Web Page Into a Censored Country
A walk through CENO's actual plumbing: signed caches, volunteer bridges, and why the chain is deliberately short.
#6040: Claude Code Subagents Can Now Spawn Subagents
Claude Code subagents can now spawn their own subagents. Here's where the depth limits come from, and why nobody actually knows where they stop.
#6033: Progressive Skills Discovery: When Bigger Context Windows Aren't Enough
Bigger context windows were supposed to make skill discovery moot. Here's why the listing budget still bites at scale.
#6027: Can You Snap Two Fine-Tunes Together Like LEGO?
Two fine-tunes, one base model, and a question from Jerusalem: can you merge Hebrew code-switching with technical vocab — without retraining?
#6025: When Should Claude Code Start a New Session?
Long context windows don't fix stale context — they hide it. Why task boundaries, not token counts, are the real problem.
#6024: What's Actually Inside the KV Cache?
890 bytes per token: why the KV cache is both what makes LLMs practical and what makes long context expensive.
#6012: Inside the Decode Loop: How LLMs Generate One Token at a Time
The model doesn't choose tokens or decide when to stop — the engine does. A step-by-step tour of one decode iteration.
#6011: Inside LLM Inference: Prefill, Decode, and the KV Cache
One 8K-token sequence on a 13B model eats 6.7GB of KV cache—while the weights are only 26GB. Here's what actually happens per request.
#6010: Ten Ridiculous Wearables, Ranked by Sincerity
Brainwave cat ears, a tomato-dispensing shoulder robot, and a $3,000 sock tracker — all built with total sincerity.
#6009: Vertex AI Is Now the Gemini Agent Platform
Vertex AI just became the Gemini Enterprise Agent Platform. Here's the family tree, the five products, and when to actually move.
#6008: Why Codex Writes Code for a Dead API
Models don't hallucinate your API — they quote real docs from the wrong year. Here's why, and what actually fixes it.
#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.
#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.
#5984: Reading a Mystery Adapter's Voltage Without a Label
An unpowered DC jack is electrically silent — so how do you find the right voltage? The answer isn't in the pins, it's in the current curve.
#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.
#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?
#5970: Swapping Your Linux Kernel: What Actually Changes
Your kernel is swappable without reinstalling anything. But do Liquorix and XanMod actually beat the default? The benchmarks say less than the mark...