Why routing simple tasks to small models and hard tasks to large models actually breaks prompt caching and increases cost. A structural explanation with provider-by-provider cache discount evidence and a practical hybrid escalation architecture.

I read the reason low-birth budget money leaks not as incompetence but as an interest structure. Financial, construction, and bureaucratic actors attach the 'low-birth' label to divide tens of trillions, while media look away.

pyVideoTrans is an open-source tool that analyzes video audio to create subtitles, translates them into other languages, and dubs them with AI voices to produce a finished video. With local models like Faster-Whisper and Ollama, you can start without paying for any API.

I analyzed 3 months of actual usage after charging $40 across DeepSeek and MiMo. Despite processing 1.5 billion tokens, total spend was $29.37. At a monthly average of $9.79, the economic case for buying a Mac Mini needs careful calculation.

The combination of AI agents and reverse-engineering tools is lowering the barrier to analyzing and reimplementing software. I examine why software's value is shifting from program files to services, and what developers must protect.

The 'Everyone's AI' vision promises to handle civil petitions and even banking on citizens' behalf. I examine it not from capability, but from security: wherever permissions connect, that is where the risk boundary lies.

A survivor's log of finishing search-engine registration with Google, Naver, Daum, and Bing in a single day — cleaning up 134 unindexed URLs, walking through each portal's steps, and fixing bots that were being counted as human.

Meta unveiled its first frontier-class models, Muse Wonder and Muse Wonder Full. The point is not smarter answers but an agent that remembers and finishes the job. We lay out the features, pricing, local-run status, and security from public materials, and assess coldly whether it can threaten GPT and Claude.

Comparing a self-hosted NAS against a cloud subscription on up-front cost, ongoing maintenance, and time — a guide to choosing what you actually need rather than what's trending.

REA is an open-source tool that lets an AI agent dig into a program with no source code, explain how it works with evidence, and rebuild the same functionality. I walked through the public hands-on sessions and wrote down what holds up: local analysis, 751-case verification, 42-second automation, and where the limits and ethics land.