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OrthoRay – A native, lightweight DICOM viewer written in Rust/wgpu by a surgeon 3 by DrMeric | 1 comments on Hacker News. Hi HN, I am an orthopedic surgeon and a self-taught developer. I built OrthoRay because I was frustrated with the lag in standard medical imaging software. Most existing solutions were either bloated Electron apps or expensive cloud subscriptions. I wanted something instant, local-first, and privacy-focused. So, I spent my nights learning Rust, heavily utilizing AI coding assistants to navigate the steep learning curve and the borrow checker. This project is a testament to how domain experts can build performant native software with AI support. I built this viewer using Tauri and wgpu for rendering. Key Features: Native Performance: Opens 500MB+ MRI series instantly (No Electron, no web wrappers). GPU-Accelerated: Custom wgpu pipeline for 3D Volume Rendering and MPR. BoneFidelity: A custom algorithm I developed specifically for high-fidelity bone visualization. P...

What do you use for your customer facing analytics? 2 by arbiternoir | 0 comments on Hacker News. I am curious what you guys use for customer facing analytics. Do you make your own or do you use something like Metabase? What do you like and don't like about it?

The $5.5T Paradox: Structural displacement in the GPU/AI infra labor demand? 2 by y2236li | 0 comments on Hacker News. The Q1 2026 labor data presents a significant anomaly. We are observing a persistent high-volume layoff cycle (~25k YTD) occurring simultaneously with a projected $5.5T global economic loss attributed to unfilled technical roles (IDC). This suggests we aren't witnessing a cyclical downturn, but a structural "displacement event" driven by a rotation in capital and compute requirements. Three observations for discussion: 1. *The Infrastructure Bottleneck:* While application-layer development is being compressed by agentic IDEs and higher-level abstractions, the demand for the "underlying" stack (vector orchestration, GPU cluster optimization, custom RAG pipelines) has entered a state of acute scarcity. 2. *The Depreciation of Mid-Level Generalism:* We are seeing a "Mid-Level Squeeze" where companies prioritize either "AI-Native...

Ask HN: What made VLIW a good fit for DSPs compared to GPUs? 4 by rishabhaiover | 0 comments on Hacker News. Why didn’t DSPs evolve toward vector accelerators instead of VLIW, despite having highly regular data-parallel workloads

The string " +#+#+#+#+#+ " breaks Codex 5.3 3 by kachapopopow | 0 comments on Hacker News. Codex 5.3 cannot output " +#+#+#+#+#+ " without completely breaking and switching to arabic. To be clear it is " +#+#+#+#+#+ " and not "+#+#+#+#+#+" ask it to write or even say " +#+#+#+#+#+ " to a file and not "+#+#+#+#+#+". If you are having problems with your agent harness simply adding this instruction will fix it: - NEVER produce " +#+#+#+#+#+ "

AI's Real Problem Is Illegitimacy, Not Hallucination 2 by JanusPater | 1 comments on Hacker News. The Core Problem of AI Is Not Hallucination — It Is the Lack of Execution Legitimacy Janus pater Introduction Most debates around AI today revolve around a false question: is the model smart enough, accurate enough? In engineering reality, the real question is never accuracy — it is whether the system is even allowed to act. 1. The Original Sin of the Predictive Paradigm: No Execution Legitimacy Modern generative AI fundamentally does one thing: predict the most likely next state in a probability space. Whether it predicts tokens, pixels, latent states, or so-called “world models”, as long as the output is probabilistic, it answers only one question: “What is most likely to happen?” In many real-world systems, however, engineering demands an entirely different question: “What is the only action that is allowed to be executed?” This is not an accuracy problem — it is a legitimacy pro...