frontpage.

I have an idea for optimizations using a dedicated backend for pytorch. It only applies to eager mode execution. From my understanding, eager mode is used for development and debugging. Are there real production workloads that work in that way ? I assume people optimize by compiling graphs using JIT but then again, people are lazy...

The Linux Kernel Is Approaching 2,000 CVEs Per Release

Show HN: Browser-Based Tempest – Transmitting VHF Morse via Monitor EMI Leakage

Industry Standard Tools: de facto tools used in various trades

AI Backlash Comes to the Classroom

Clustering and Anomaly Detection on Handwritten Digits

Trump Floats Renaming New Mexico as 'New America,' Prompting Pushback

Sequencing-free On-chip detection of lung cancer [pdf]

Audiowave – bid to own a channel. Post whatever you'd like

Vibe coding made writing cheap. It made reading expensive

Everything Everywhere All At Once was edited on an old iMac (2022)

Has the DVD-hacking case made a t-shirt illegal? (2000)

A meta-analysis of 3 different notions of software complexity

SoapUI: The Most Popular API Testing Tool

AI Agents Aha Moment

Could life exist on Venus? Peptides survive harsh acid

The Shortest IPv6 Addresses

Show HN: Rucc – C compiler in Rust, now compile and run SQLite

Sound Could Make Sense of Big Data

Guest Terminal:~$

Ask HN: 3.5 inch diskette read errors, would a period correct drive do better?

Room and Pillar Mining

The next valuable file on your computer won't contain your work

Pinch Points – a Rust game with crabs

lsfg-vk v2.0.0

Show HN: Neuro, a compiled language for AI that matches Clang -O2

Show HN: A brainstorm canvas with no back end, running on Chrome's on-device AI

A Modest Proposal

De-Brainrot Vacations

Show HN: BorderCut – Remove image backgrounds locally in 8 kB, without ML

Nuxt co-creator Alexandre Chopin joins Encore

Ask HN: Are you running production workloads in Pytorch eager mode?