Local AI
313 episodes · Page 6 of 14
#4760: Context Window Management: Cutoff vs. Compaction
Trailing cutoff or auto-compaction? How to manage Claude Code's context window without losing critical information.
#4717: Building a Home Whisper Server: The Full Spec
Daniel wants a dedicated home server for Whisper dictation. Here's the exact build — GPU, RAM, storage, and runtime — to make it work.
#4670: Why AI Weights Are Indecipherable
Can you actually read an AI model's weights like a book? We explore why the answer is mostly no — and what researchers are doing about it.
#4605: Why Chatterbox Still Leads Open-Source TTS
We break down the architecture of Chatterbox, the open-source TTS model powering this podcast, and why it remains state of the art.
#4492: What Makes a Container Robot-Ready?
The hidden specs that turn a plastic box into something a robot can pick, read, and move at industrial speed.
#4458: How Headroom Compresses Agent Context Without Breaking Outputs
A deep dive into Headroom's content-aware compression pipeline that promises 20-95% token savings without changing agent answers.
#4455: Borrowing a GPU Over Your Home Network
Can you use your desktop's AMD GPU from a laptop as if it were local? We explore the real options.
#4415: Why Your Phone Scan Fails (and How to Fix It)
AI scanners are amazing—until they fail on glare or white paper. Here's how to fix it with stuff you already own.
#4374: How AI Agents Finally Made the Terminal Accessible
How Claude Code removes the memory tax that kept neurodivergent users from living in the terminal.
#4181: From Phone Typing to Direct Agent: Fixing Headless Server AI Access
ChatGPT saved his OS, but the copy-paste bottleneck from phone to server took hours. Here's how to fix it.
#4068: How to Build a Go Image Pipeline for Your Inventory App
Stop treating your inventory app like a photo dump. Here's how to build a smart image pipeline in Go.
#3995: Can Your Phone Upscale Photos Without the Cloud?
Local upscaling on phones is here — but which approach actually works?
#3888: Stitch Like a Pro: City Panoramas on Android
Turn your phone into a virtual medium-format camera with manual RAW stitching for gallery-worthy cityscape prints.
#3800: How AI Hallucinates Better Pixels: Upscaling Explained
The difference between interpolation and super-resolution, and why every upscaled image is a collaboration with training data.
#3718: AI Babysitters Already Exist—What We Learned
Tens of thousands of Chinese families already use robot babysitters. What actually happened, and what's next?
#3406: LoRA Isn’t Just for Image Generation
LoRA lets you fine-tune an LLM’s behavior with a 50MB file. Here’s how it works and why it matters.
#3322: Desk Pets: Local AI on Your Desktop
Are desk pets useful tools or expensive Tamagotchis? We break down the local AI, privacy tradeoffs, and psychology behind these devices.
#3283: Fine-Tuning DeepSeek for One Podcast
Can a purpose-specific fine-tune fix a model's stubborn writing tics? We explore the practical engineering behind it.
#3218: Building Your Own Cloud in 2026
The software and hardware for a DIY private cloud have never been more feasible. Here's how to pick the right pieces.
#3058: How to Get 15 Hours of Light From Your UPS
Turn your UPS into an emergency light source with the right LED bulb, NUT, and Home Assistant automation.
#3020: How Chatterbox Locks Your Voice Clone Across Thousands of Generations
Why most single-shot TTS models drift over time—and how Chatterbox's cached embedding approach solves it.
#2940: Distrobox: Linux Containers for Humans, Not Servers
Run any distro's apps on any Linux host—no VM, no dual-boot, no dependency hell.
#2911: Building a $180 Privacy-First AI Wearable
How Omi's $99 dev kit lets you build a local-first voice productivity system that watches your screen.
#2900: From Piggy Tier to Production: Making Kids Animation in 2026
Breaking down what it takes to make a YouTube Kids cartoon — and where AI actually helps.