
What Americans die from vs. what's reported in the media
Today in InfoSec Job Security News:
I was looking into an obvious ../.. vulnerability introduced into a major web framework today, and it was committed by username Claude on GitHub. Vibe coded, basically.
So I started looking through Claude commits on GitHub, there’s over 2m of them and it’s about 5% of all open source code this month.
https://github.com/search?q=author%3Aclaude&type=commits&s=author-date&o=desc
As I looked through the code I saw the same class of vulns being introduced over, and over, again - several a minute.
Hey All, I made a header only C++ library where it's 1 line of code to init, then you can start writing to pixels on the screen.
I call it thirteen.h, as it is inspired by the simplicity of the 13h days.
Examples include a mandelbrot viewer and a playable mine sweeper game.
MIT licensed.
Whatever the output gains promised by LLMs, their initial productivity surge is erased over time, and replaced by heavier workloads—and that leads to workers experiencing “cognitive fatigue, burnout, and weakened decision-making.”
All this from research out of the notoriously pro-worker rag [checks notes] Harvard Business Review: https://hbr.org/2026/02/ai-doesnt-reduce-work-it-intensifies-it

Una de las promesas de la IA es que puede reducir la carga de trabajo para que los empleados puedan centrarse más en tareas de mayor valor y más interesantes. Pero según una nueva investigación, las herramientas de IA no reducen el trabajo, sino que lo intensifican constantemente: en el estudio, los empleados trabajaban a un ritmo más rápido, asumían un mayor número de tareas y ampliaban su jornada laboral, a menudo sin que se les pidiera. Puede parecer una ventaja, pero no es tan sencillo. Estos cambios pueden ser insostenibles y provocar un aumento de la carga de trabajo, fatiga cognitiva, agotamiento y un debilitamiento de la capacidad de toma de decisiones. El aumento de la productividad que se disfruta al principio puede dar paso a un trabajo de menor calidad, a la rotación de personal y a otros problemas. Para corregir esto, las empresas deben adoptar una «práctica de IA», es decir, un conjunto de normas y estándares en torno al uso de la IA que pueden incluir pausas intencionadas, secuenciar el trabajo y añadir más base humana.
Heya! 🥳 Super thrilled to announce XenoAtom.Terminal.UI is out in public preview: https://xenoatom.github.io/terminal/ 🚀
It's a modern, reactive retained-mode terminal UI framework for .NET - composable visuals, binding-first state updates, proper measure/arrange layout, and a fast cell-buffer renderer with alpha-blended theming (truecolor 🎨 terminals look gorgeous!).
Demos + docs are live - feedback welcome! 🙌

XenoAtom.Terminal.UI A modern, reactive retained-mode terminal UI framework for .NET. Compose visuals, bind to state, and let the framework handle layout + rendering efficiently. Get started Browse controls GitHub dotnet add package XenoAtom.Terminal.UI --prerelease Binding-first UI Bindable properties are tracked during update/layout/render. Change state and only the affected visuals are invalidated. Binding & State Composable controls Inputs, layout containers, menus, overlays, charts, and more — all composable and styleable....