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...

Ficmap: an interactive 3D atlas for Westeros and other fictional worlds

I Hate Taking Responsibility

From Ahmes to Ramanujan: A Timeline of Mathematicians

We Lost the War on Quality

A 100k-document RAG knowledge base: an animated walkthrough

Quo Vadis, Mathematics?

Kyber open source remote streaming solution architecture

Show HN: SocialSaver – download your own Instagram/TikTok/X videos, no login

Show HN: ViralReel – Make the viral Hotel Lobby AI template video in 60 seconds

Show HN: Telegram AI Video Generator – Create AI Videos in Chat

Lessons for the 21st century from 'Frankenstein' author Mary Shelley

Ocean the Man Who Listens to Whales

FreshLimePay: Sell online to earn your first dollars without building a checkout

Garmin Autoland Demonstration [video]

Show HN: Wazn-2B – decision model with separate encoding and competition

Generated and Suppressed Demand

Latest and Most Common User Agents

Empinet.dev – Free dev tools that process your data in the browser

Monte Kali

Age Verification

The GIL: from the cache line to the eval loop

Teenager suspected of leading KillSec ransomware group

What ownership means when agents write the code, Edgar Bermudez, sept.8 2026

NIST AI SEC Core

EU Enforcement AI Act

Show HN: Nightwatch – a Mac menu-bar app that tells you when tonight is clear

China Importer's Pre-Production Checklist

Show HN: AI search for every photo and every frame of video on macOS

I got targeted: Trying to get your credentials via a Git post-checkout hook

"Ack, will follow up."

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