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...

Apple: MagSafe 3 Charging Cable Firmware Update

Rust for DO-178C and ISO 26262

Elastic fantastic: The deadly fluid of pitcher plants

Mollie strengthens Pay by Bank to power the next generation of European payments

Our new deal We stopped being an agency, and became a platform

School protests send shivers down French government's spine

What Israeli immigrants bring to America

We disabled PRs from external contributors on honojs/hono

Mario and Armin on Why Pi Durable

Rigsmith, simplified 3D rigging/animating

Show HN: gtm, a prettier cliamp alternative with daemonized playback.

Categorize changes in Pull Requests into logical groups, with a summary

1970 Bhola Cyclone

Uber invests in Verne, confirmed by the CEO of the Croatian robotaxi company

#227: Pivotal – Developing Perspective

What If the Moon Disappeared Tonight?

Show HN: Pure Java library for archive compression with zero dependencies

A health assistant that answers from Kenyan guidelines and cites them

Recreating Diagrams in Pikchr #2: Dissecting the Story of Mel

Show HN: Native Port of Super Smash Bros. Melee

How Long It Takes Google Search for Crawling, Indexing and Serving

Ightline – Real-time collaborative CV annotation using CRDTs

Noah Shinn Turns Privacy Complaints into a $10B Round

Inference Economics: Gartner's 96 Percent

Spending on AI Is Becoming Almost Impossible for Businesses to Budget

Sam Altman Sees the Future. Are We in It? (Part 2 of 2)

Adding Reflection to C

My small wish for terminal programs (and other programs)

OpenAI will show visual ads in ChatGPT while you generate images

Are psychedelics anti-inflammatory? A systematic review (2027)

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