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...

A backdoor in a LinkedIn job offer

Summer Rhombus picture competition 2026

Why Earth Sucks Compared to the Planet Hestia [video]

The Castles of the Garamantes

2-in-1 cable that combines 4K 60Hz video output with 140W pass-through charging

AI-referred US shoppers browse longer, spend more per visit

Aircraft-aware clear-air turbulence prediction with XGBoost on PIREPs and ERA5

QuantumReady

Cilantro – it watches your bank accounts and tells you what changed

Beware of Star Trek managers, especially when bearing MBAs

Scientists reveal surprising mechanism behind Venus flytrap's rapid snap

Jelly No Puzzle clone playable on iPhone and iPad

File systems are the new primitive for AI agents

It's Time to Rethink the Offshore Development Model

Loopcraft: The Art of Stacking Loops

Britain will ban under-16s from social media apps, including TikTok and YouTube

A paper-trading app that translates dry financial data into blunt Gen Z slang

Show HN: Termem, cross-agent memory and session management

AgentBack: AI-native API/MCP framework for agents

From Hookswitch to Grave

Building 2k hackable ESP32 conference badges in four months

Just InKit: Fast, Robust Speech-to-Text for macOS

"No Feigning Surprise"

Cartesia AI releases SOTA TTS and ASR models

SpaceX prepares to launch AST spacemobile bluebird satellites from Florida

Lighttpd 1.4.83

Air Force bomber crashed on takoff at California base

Entryconditions.com – visa entries proven by authorities

A short film on a 100 years old bridge in kano

PDFs are one of the biggest bottlenecks in AI workflows

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