This lays out the limits of attempts to understand and control AI from the inside, and the FAMS paradigm of monitoring the flow of outputs and actions, along with implementation code.

A measured, benchmark-and-VRAM-based review of Hugging Face's most popular local models, from distilled math models to decensored tunes and coding agents

70B runs comfortably on 128GB while 150GB-class monsters need 192GB, and this lays out the boundary lines of unified memory selection, including why capacity does not guarantee speed

From Phi-4 14B's monstrous reasoning to the Nemotron hybrid 30B, a roundup of four hidden masters that go unnoticed behind mammoth models but have overwhelming real-world value.

A practical, hands-on rundown of the open-source Orca ADE for running and managing 30-plus AI agents on one screen — its core features, mobile integration, and installation and usage

A 552B MoE with only 8-16B active parameters. By compressing the KV cache to 890 bytes, DeepSeek's next-generation model runs 4x the agents on a single GPU. An in-depth architecture analysis, including the mHC paper.

A practical rundown of Qoder IDE's core features — Quest Mode, NES, Repo Wiki, and more — plus download, install, and basic usage, with real code

An analysis with real code examples of 5 security vulnerabilities hidden in vibe-coded apps: missing authorization checks, SQL injection, vulnerable libraries, information exposure, and a practical security checklist.

Beyond the concept and pros and cons of vibe coding, this uses real code examples to show the realistic limit that "vibe coding only works as far as you know," and lays out the attitude you actually need.

A complete comparison of NVIDIA and AMD architecture, the CUDA/ROCm ecosystems, DLSS/FSR, and AI/gaming/video-editing performance with real benchmarks for putting a graphics card into a local PC