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...

Job Ads Tell You What Employers Want, Not What You Want

How Krackpot works: secp256k1, SHA-256 and RIPEMD-160 in WebGPU

Executable pseudocode for learning CS without syntax barriers

Anthropic's Annualized Revenue Tops $65B Before IPO

So Long Relayd, and Thanks for All the Fish

Everybody Wants You to Win

AI automation: Lock in payroll savings or reinvest capacity into growth

Show HN: The Hacker News Puzzle

Maiden voyage for India's first hydrogen train

Show HN: Samuel, a Silly Speech Model

Show HN: AnyCreature. making 3D creature by agent. harness by 3D assets pipeline

Google buys crashed airline Spirit's data at auction, because AI

Native vLLM and ROCm 7.15 for RX 6000 (RDNA2) on Windows 11 – 26 Tflops FP16

MacBook Is Now an AI Workstation: Run Qwen 3.8 Locally

Show HN: MeetMoves – video/GIF backgrounds for Google Meet, no OBS needed

KTransformers 0.7 Expands AVX-512 Support to Benefit AMD EPYC Servers

Global collaboration group for people worldwide

An X Live Show for Indie Founders

Lisp Used in Nanotechnology [video]

The Case for Tri-State Dark Mode Toggles

How the Dutch Police Clung to Predictive Policing for a Decade Without Evidence

Learning always pays dividends someday

Minimo: Voice Translate and Note

I built a way to let ChatGPT Web review your local repo

Show HN: Self University – Interactive puzzles to learn programming

DeepSeek-V4-Pro-0813 outperforming Fable

Show HN: Reproof – A non-linear writing app for perfectionists

Lucille Ball Is the Reason We Have 'Star Trek' – Here's What Happened (2016)

PkgDiet – Find unused, bloated, and unmaintained NPM packages and alternatives

Kraubex AI

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