PyTorch

A single artificial neuron, built from scratch — then the hard part: does that neuron analogy still describe a real transformer?

Three ROCm releases in six months — build system, agentic tooling, data movement. What actually changed for AMD GPU owners.

Both are first-class for MCP, but the real choice depends on what your server talks to. Here's the framework.

Machines now write code better than humans. What happens to Python, TypeScript, and COBOL when no human reads the code?

How Modal, RunPod, and other platforms handle container builds, caching, and versioning under the hood.

AI frameworks are exploding while languages stay stable. Learn why core dev knowledge is shifting from syntax to systems thinking.

Why the most influential AI mind prefers a blank text file to proprietary black boxes.

Docker promised "run anywhere," but GPU images make you compile for hours. Here’s why the abstraction breaks down.

Why are there thousands of "AI frameworks" on GitHub? We unpack the naming mess and the cost of semantic inflation.

Is Docker worth it for solo devs? We compare raw Python, Docker, and dev containers with real setup times and tradeoffs.

Peeking under the hood of AI to discover the beautiful linear algebra and calculus that make machine reasoning possible.

Discover why NVIDIA’s CUDA is the oxygen of the AI industry and how tools like OpenAI’s Triton are finally challenging its 20-year software moat.

Is the GPU's reign over? Discover how modern CPUs and clever optimization are bringing powerful AI models to the hardware you already own.

Why did a 1980s hobby project become the backbone of AI? Explore the history of Python and the chaos of modern dependency management.

Discover why PyTorch is the "oxygen" of AI. Herman and Corn explore its history, the magic of Autograd, and the move to the PyTorch Foundation.

Google's "dark web monitoring" isn't what you think. We reveal the hidden corners of the internet and Google's true capabilities.

AI supercomputers are landing on your desk! Discover why local AI is indispensable for enterprises facing API costs, latency, and privacy.

Tired of AI environment headaches on AMD? We demystify Conda, Docker, and host environments to unlock your GPU's full potential.

Unraveling how GPUs power AI. We dive into CUDA, ROCm, and the software stack that makes it all think.

Ever wondered if you could build your own speech recognition tool? We dive deep into crafting custom ASR.

Your voice changes, but your fine-tuned model shouldn't become useless. We explore the biology of the larynx and ASR.

Benchmarking custom ASR fine-tunes: We're diving deep beyond the WER to truly measure performance.

AMD GPU? No problem! Dive into local AI adventures like on-device speech to text.

Unlock the secrets of AI fine-tuning. Discover how your small dataset can shape a giant model.