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...

Craft: A Tendon-Driven Hand with Hybrid Hard-Soft Compliance

The Heavy Cloud: Hydrosocial Dispossession and the Water Coloniality of AI Infra

Two Dimensional Version Control

Open dataset of prompt-injection CVEs with a monthly threat index

Silicon Valley Promises AI Will Cure Disease. Drugmaker CEOs Aren't Buying It

Web frameworks overtrust the HTTP Forwarded: header

New drug could be cure for common cause of high blood pressure

Show HN: LLM-cost-watch – Ask Claude why your LLM bill jumped

A Unicode Escape Can Turn a Java Comment into Executable Code

Playing Zork 1 on a CP/M emulator on Linux

Show HN: Hackertube for Roku TV

I built a mailing list where strangers write every email

Show HN: Is your product AI slop?

Show HN: Elo Ratings for Tests, ODIs, and T20Is

Torrents Are Perfect for Model Distribution

What Should We Learn? What LLMs Taught Me: Understanding Isn't Producing

Show HN: 3-SAT: Let me show you 500K variables

(Artificial) Intelligence as a political construct

Show HN: Recto – A tool that lets you visually edit what coding agents create

Goldman Sachs Is Pulling Claude Code from Its Bankers and Traders

Western Design Center

Sem86: A Full-System Emulator Without Hard-Coded Semantics

NASA Seeks Next Generation of Explorers to Join Astronaut Corps

Rethinking Virtual Machine Monitors for Better Security in Clouds [pdf]

Show HN: Figma for Investing

NASA seeks next generation of astronauts to live and work on the moon

The efficiency trap: why optimising everything can backfire, badly

The same work on a third of the tokens: tuning a fleet of coding agents

Advanced Meditation Alters Consciousness and Our Basic Sense of Self

Show HN: Email-like interface to review, decide, and annotate agent work

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