Article URL: https://www.cbc.ca/radio/ideas/humboldt-education-system-bildung-1.7172093 Comments URL: https://news.ycombinator.com/item?id=48706877 Points: 5 # Comments: 0
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A developer working on V.E.L.O.C.I.T.Y.-OS, a bare-metal operating system project, has detailed Part 6 of a 12-part build series focused on compiling scalar code directly into raw x86-64 machine instructions at runtime. The motivation was to eliminate closure dispatch overhead that slowed down simple scalar loops, even as vector operations were already outperforming native Rust. The implementation introduces a scalar detector that identifies eligible AST blocks and an x86-64 emitter that writes machine code bytes into executable memory pages. Variable slots are mapped directly to preserved CPU registers R12 through R15, with support capped at four scalar variables per compiled block. The broader project aims to build a self-healing OS running entirely within the CPU's L3 cache, with future parts covering classic compiler passes, Ring 0 kernel transition, and bare-metal driver development.
A software team building a CRM for trade contractors repeatedly received requests to add customer financing to quotes, eventually making it a core feature. They found that financing significantly improves close rates on large jobs, typically those above $3,000, by reframing lump-sum prices as monthly payments. However, contractors pay a dealer fee of up to around ten percent to the financing provider, which can silently erode job margins if not tracked carefully. The team had to engineer a single-link workflow covering quote approval, pre-qualification, and deposit payment, since delayed or multi-step processes caused customers to sign with competitors instead. They also flagged risks such as applicant denials creating awkward customer interactions and deferred-interest terms that can backfire on customers and damage the contractor's reputation.
A developer has created a proof-of-concept system that allows users to control a computer entirely without a mouse or keyboard, using only a webcam and microphone. The system uses MediaPipe FaceMesh to track 468 facial landmarks in real time, translating head movements into cursor control, eye blinks into left-clicks, and mouth opening into right-clicks. Voice commands are processed through a speech recognition module to execute actions such as opening applications or switching windows. The project was built using consumer-grade hardware to demonstrate that hands-free computing is accessible without expensive specialized equipment. Potential use cases include accessibility for people with motor impairments, sterile medical environments, ergonomic improvement, and productivity enhancement.
A developer running a small self-hosting blog discovered that AI crawlers accounted for 18,209 of 348,667 total requests over nine days, surpassing human readership. The largest share came from ChatGPT-User, which performs live fetches on behalf of real users asking questions — not training data scraping — making blanket blocking counterproductive. The author distinguishes between training crawlers like GPTBot and ClaudeBot, which generally respect robots.txt, and live answer-engine fetchers like ChatGPT-User, which behave more like browsers and are not bound by it. A separate technical finding revealed that most AI crawlers do not execute JavaScript, meaning structured data or metadata injected client-side after page hydration remains invisible to them. The author warns that site owners relying on JS-rendered metadata may be misrepresented in AI-generated answers, and recommends ensuring all critical structured data is present in the initial server-side HTML.
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