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...

Gemini Omni 1.2 Flash now GA

Claude Now on Your Notch

Trying and Failing to Draw a Line Between Code and Art

Novartis confirms 9 reported cases of tumors in patients treated with Zolgensma

Mathematical Exploration and Discovery at Scale

Freedman's Paradox at Forty: A Practitioner's Guide to Variable Selection

VibeSys on Trainium: Agents Build/Tune Qwen3.8 Serving Engines on AWS Trainium2

The Surf Communities Selling Man-Made Waves to Homeowners

Bayesian Language Model Interpolation for Mobile Speech Input [pdf]

China Plans Broad AI Guardrails After Global Security Lapses

Confessions from Slopaholics Anonymous

Is There Football Now?

Hong Kong: Joshua Wong Gets Nearly 10 More Years in Prison

AgentSight: System-wide AI agent profiling and monitoring with eBPF

Dbt-lineage – see what a dbt change breaks, without a warehouse

Frameboy: Explore worlds in real-time streaming from cloud GPUs at up to 15 FPS

Show HN: IndiePilot – find Reddit threads where people ask for what you sell

Black October: Lessons from the Downstream Breaches

E-Commerce in the "Second Cold War"

Claude Code sends your email address to websites

Researcher Finds That Some Bots Still Think in Stereotypes

Tracing the spread of Celtic languages using ancient genomics

Hedge Funds Were 'Massive' Sellers of AI Debt, RBC's Skiba Says

Plain Vanilla Web

Rewind on an Older Apple Watch: Memova's Upcoming Feature

Bring your own agent to Positron with the Positron MCP

Ask HN: In the age of agentic AI, do you still pair program?

Ask HN: How do AI agents help you in your daily life?

The Interim Computer Museum: log into old systems

Where Is Federal Law Enforcement's Data-Buying Transparency?

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