The Military Rockets That Launched the Space Age (2023)

The cost math behind routing Claude Code through Ollama (~90% cut)

Mystery Cpuid Bit

AI can cost more than human workers now

A Guide to CubeSat Mission and Bus Design

Let's Build the Terminal Pt. 1

Flipdiscs

Framework's new Linux laptop is selling faster than its Windows one

Focus Session: Hardware and Software Techniques for Accelerating Multimodal Foundation Models

arXiv:2604.21952v1 Announce Type: new Abstract: This work presents a multi-layered methodology for efficiently accelerating multimodal foundation models (MFMs). It combines hardware and software co-design of transformer blocks with an optimization pipeline that reduces computational and memory requirements. During model development, it employs performance enhancements through fine-tuning for domain-specific adaptation. Our methodology further incorporates hardware and software techniques for...

Feedback Over Form: Why Execution Feedback Matters More Than Pipeline Topology in 1-3B Code Generation

arXiv:2604.21950v1 Announce Type: new Abstract: Small language models (1-3B) are practical to run locally, but individually limited on harder code generation tasks. We ask whether composing them into pipelines can recover some of that lost capability. We study code generation pipelines built from 1-3B models with execution feedback, and use a NEAT-inspired evolutionary search to test whether more complex pipeline structure helps beyond a simple refinement loop. We evaluate on HumanEval (164 ...

When Altruism Meets Autonomy: Managing Bottleneck Congestion with Strategic Autonomous Vehicles

arXiv:2604.21941v1 Announce Type: new Abstract: Weaving ramps are critical bottlenecks in highway networks due to conflicting traffic flows and complex interactions among heterogeneous vehicle types. In mixed-autonomy settings, the presence of controllable autonomous vehicles (AVs) introduces new opportunities to influence system-level outcomes, yet the structural impact of such control remains poorly understood. This paper develops a unified equilibrium framework to capture, predict, and op...

The Biggest Risk of Embodied AI is Governance Lag

arXiv:2604.21938v1 Announce Type: new Abstract: Embodied AI is widely discussed as a job-displacement problem. The deeper risk, however, is governance lag: the inability of public institutions to keep pace with how fast the technology spreads through the physical economy. As reusable robotic platforms are combined with increasingly general AI models, embodied AI may scale across manufacturing, logistics, care, and infrastructure faster than governance systems can observe, interpret, and resp...

MolClaw: An Autonomous Agent with Hierarchical Skills for Drug Molecule Evaluation, Screening, and Optimization

arXiv:2604.21937v1 Announce Type: new Abstract: Computational drug discovery, particularly the complex workflows of drug molecule screening and optimization, requires orchestrating dozens of specialized tools in multi-step workflows, yet current AI agents struggle to maintain robust performance and consistently underperform in these high-complexity scenarios. Here we present MolClaw, an autonomous agent that leads drug molecule evaluation, screening, and optimization. It unifies over 30 spec...

An Artifact-based Agent Framework for Adaptive and Reproducible Medical Image Processing

arXiv:2604.21936v1 Announce Type: new Abstract: Medical imaging research is increasingly shifting from controlled benchmark evaluation toward real-world clinical deployment. In such settings, applying analytical methods extends beyond model design to require dataset-aware workflow configuration and provenance tracking. Two requirements therefore become central: \textbf{adaptability}, the ability to configure workflows according to dataset-specific conditions and evolving analytical goals; an...

Math Takes Two: A test for emergent mathematical reasoning in communication

arXiv:2604.21935v1 Announce Type: new Abstract: Although language models demonstrate remarkable proficiency on mathematical benchmarks, it remains unclear whether this reflects true mathematical reasoning or statistical pattern matching over learning formal syntax. Most existing evaluations rely on symbolic problems grounded in established mathematical conventions, limiting insight into the models' ability to construct abstract concepts from first principles. In this work, we propose Math Ta...

Routine Computing: A Systematic Review of Sensing Daily Life Dimensions Towards Human-Centered Goals

arXiv:2604.21934v1 Announce Type: new Abstract: Human routines structure daily life, yet remain challenging for computational systems to understand. This paper presents the first systematic review of routine computing, a previously implicit but increasingly recognized field that focuses on computationally sensing and modeling human behaviors. It synthesizes 203 studies published up to August 2025. The paper presents a new taxonomy of the literature, focusing on temporal structures, behaviora...

Not Another EHR: Reimagining Physician Information Needs with Generative AI Technology

arXiv:2604.21933v1 Announce Type: new Abstract: Electronic health records (EHRs) have improved data accessibility but have also introduced cognitive burden for physicians, given the sheer volume and complexity of the data involved. Advances in large language models (LLMs) create new opportunities to rethink how clinicians interact with medical data through dynamic, adaptive interfaces. In this position paper, we explore how generative AI can support physicians' information needs by enabling ...

Quantifying Interface Procedure Coupling Risks in Digital Nuclear Control Rooms: An Event Based Human Reliability Assessment

arXiv:2604.21932v1 Announce Type: new Abstract: Digitalization has fundamentally transformed human system interaction in nuclear main control rooms, yet the quantitative mechanisms by which interfaces amplify procedural risks remain insufficiently understood. This study presents a systematic assessment of interface procedure coupling based on real operational events collected from 2021 to 2025 in a modern nuclear power plant. A reusable three dimensional labeling framework and a four factor ...

The Prompt API

TurboQuant: A First-Principles Walkthrough

EvanFlow – A TDD driven feedback loop for Claude Code

Notepad++ for Mac

When Your Digital Life Vanishes

The reporters at this news site are AI bots. OpenAI appears to be funding it

Christophe Pettus: All Your GUCs in a Row: archive_library

Before getting into this one, an errata against the previous post. I said backup tools “can register as an archive_library and bypass archive_command entirely” on PostgreSQL 15+. That is what the feature was designed to enable. It is not what the ecosystem has actually shipped. More o…

Three constraints before I build anything

When the cheap one is the cool one

Self-updating screenshots

Voice Modems

Lessons from building multiplayer browsers

FreeBSD Device Drivers Book

Google controls ~25% of global AI compute, with ~3.8M TPUs and 1.3M GPUs

8v: One CLI for you and your AI agent. Up to 66% fewer tokens

How We Increased Code Coverage by 28% Without Writing a Single Test

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Tom Noah, Senior Software Engineer on Salesforce’s Security Mesh platform team, who integrates signals from CrowdStrike, Okta, and internal event monitoring systems to analyze massive security data streams. To support this, Tom increased code coverage by 28% […] The post How We Increased Code Coverage by 28% Without Writing a Single Test appeared first on ...

Show HN: AgentSwarms – free hands-on playground to learn agentic AI, no setup

Principia Softwarica: Fundamental Literate System Programs

Show HN: Startup Equity Adventure Game

The Stanford freshmen who want to rule the world . . . will probably read this book and try even harder

Amazon’s new podcast strategy: Monetize everything

MoQ Boy

Microsoft tackles quality control issues. Just kidding

The New Linux Kernel AI Bot Uncovering Bugs Is a Local LLM on Framework Desktop

Show HN: AI memory with biological decay (52% recall)

Show HN: Auge Vision from Your Terminal

Human Source License (HSL)

Fast16: The Cyberweapon That Predates Stuxnet by Five Years

Magic: The Gathering Took Me from N2 to Japanese Fluency

What Tim Cook built

If You Stop Hiring Juniors, Your Senior Engineers Own You

A.I. is creating engineers who can't think without it

Orinoco: Young Generation Garbage Collection

Waymo says expecting driverless taxis to stay out of bike lanes is unrealistic

Sloppy Copies

The disappearing AI middle class

Dear friend, you have built a Kubernetes (2024)

Databases Were Not Designed for This

Clay PCB Tutorial

TechCrunch Mobility: Elon’s admission

I have officially retired from Emacs

To buy this Bay Area home, you’ll need Anthropic equity

Show HN: HNswered – watches for replies to your Hacker News posts and comments

Show HN: I remade my blog into a Windows 3.1 environment

GitHub unwanted UX change: issue links now open in a popup

Why SWE-bench Verified no longer measures frontier coding capabilities

Swissing a table

Branimir Lambov from IBM on Cassandra

Branimir Lambov has worked on and led many key advances in Cassandra over the last ten years, including swapping out the skiplist in Cassandra's Log-Structured Merge Tree for a Trie.

Mine, a Coalton and Common Lisp IDE

Microsoft Reportedly Looking at Rebasing Azure Linux on Fedora

The fastest Linux timestamps

My .config Ship of Theseus

Asahi Linux Progress Report: Linux 7.0

Nightmare of the Javascript Optimization

Show HN: A free ESG stock screener that publishes its losses and methodology

Show HN: Turning a Gaussian Splat into a videogame

Eden AI – European Alternative to OpenRouter

Statecharts: hierarchical state machines

The Knight Programming Language

I spent 6 years building my Kanban as I hated how managers run the boards

Simple Sabotage of Agents

APL is more French than English