#dependency-management
9 episodes
#5465: Packaging AI Pipelines So They Actually Get Reused
Daniel's podcast pipeline works — so why can't he reuse it? Recipes, containers, and Hebrew code-switching TTS.
#5154: DeepSeek's Two-Endpoint Philosophy
DeepSeek quietly routed Pro traffic to Flash — and that routing change says everything about its two-endpoint strategy.
#4827: When Your One-Person Stack Starts Fighting You
Your custom-built system was a perfect fit. Now it's a cast you can't escape.
#4693: Can You Live Entirely on Amazon?
We audit the plan to buy every aspect of life from one retailer, and find the gaps that don't fit in a box.
#4451: Python 3.14: Deferred Annotations, t-Strings & Free-Threaded Mode
Deferred annotations, t-strings, subinterpreters, and free-threaded mode — what actually changed in Python 3.14.
#3173: Moving Secrets from Film Scouts & Museum Pros
Steal moving systems from film location scouts and museum registrars — professions that move entire worlds, not just boxes.
#1807: The ABI Trap: Why GPUs Break Docker's Promise
Docker promised "run anywhere," but GPU images make you compile for hours. Here’s why the abstraction breaks down.
#1021: The Python Paradox: Why AI's Backbone Is a Nightmare to Deploy
Why did a 1980s hobby project become the backbone of AI? Explore the history of Python and the chaos of modern dependency management.
#27: Choosing Your AI Environment: Host, Conda, or Docker?
Tired of AI environment headaches on AMD? We demystify Conda, Docker, and host environments to unlock your GPU's full potential.