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...

Herv AI – Spatial Intelligence

GitHub

Reactive Python Notebooks in Jupyter

Show HN: AI Anime Finder – Natural language semantic search for AniList

AutoCO: An Online Continuous Optimization System for Phase-Changing DB Workloads

Extinct Media Museum Tokyo

Show HN: Rivers – a Rust/Python orchestrator with native OIDC and forward auth

Google Was a Lifeline for Publishers. Now Some Are Thinking of Cutting It Off

Companies are optimizing models for specific benchmarks

Split Screen – browser workspaces to replace tab sprawl (free, local)

A Tale of Two Tailnets

Shawn Ryan announces partnership with glacier [video]

The Global Justice Report

Trump announces 2028 presidential bid

Uber: HR crisis - Darden MBA Case Study (2020)

"As millionaires we have a message for our new Prime Minister: Tax us."

Michael Stevens and Hannah Fry: The Rest Is Science

The Architecture of Deep Thought: Fight AI Speed with Cognitive Friction

Show HN: Sync Claude Code and Codex configs, with a board that shows the drift

AWS announces AWS-bench, an open-source benchmark for AI agents on AWS

Lawsuits hours after new tariffs take effect, experts say tariffs may not hold

A single underscore led to an innocent Halifax man's conviction

Best Open-Weight LLMs by Memory Required (July 2026)

Coordination layer for AI coding agents, built on Git

An Introduction to Formal Logic(2020) [pdf]

UK AISI / Caisi Preliminary Assessment of Kimi K3's Cyber Capabilities

Why Do Autistic People Talk Like Animé Villains?

Two Chinese win top Maths prize

The Productivity Mirage

US tech groups cut 140k jobs

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