'Kitten Space Agency' Is the Spiritual Successor to 'Kerbal Space Program'

'Nature' Retracts Paper on the Benefits of ChatGPT in Education

“What educators, parents and policy officials really needed was high quality data and evidence to help guide them. What they have had to deal with instead is some substandard research.”

Stop big tech from making users behave in ways they don't want to

Week one of the Musk v. Altman trial: What it was like in the room

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here. Two of the most powerful people in AI—Sam Altman and Elon Musk—began their face-off in court in Oakland, California, last week. Musk is suing OpenAI, alleging that the millions he spent to…

OpenAI Finalizes $10B Joint Venture with PE Firms to Deploy AI

I am worried about Bun

Sierra Raises $950M at $15B Valuation

AWS Weekly Roundup: What’s Next with AWS 2026, Amazon Quick, OpenAI partnership, and more (May 4, 2026)

Last week, I took some time off in York, England, often described as the most haunted city in the country. I wandered through the ruins of abbeys that have stood for nearly a thousand years, walked along medieval walls, and spent an evening on a ghost tour hearing stories passed down through centuries. There’s something […]

Elon Musk’s only expert witness at the OpenAI trial fears an AGI arms race

Migrating Etsy’s database sharding to Vitess

Etsy has maintained a sharded MySQL architecture since around 2010. This database cluster contains most of Etsy’s online data and is made up of ~1,000 tables distributed across ~1,000 shards. Over the last 16 years, it has grown significantly: combined, these tables have over 425 TB of data and receive roughly 1.7 million requests per second. Etsy engineers access our MySQL data through a proprietary object-relational mapping (ORM). The ORM has a corresponding model for each MySQL table. W...

Making Ads Count: Using MMoE and Auxiliary Tasks to Better Connect Buyers & Sellers

When buyers search on Etsy, they need to quickly and easily find the perfect item. At the same time, sellers need to be confident their unique products are being seen by the right customers. Our Ads Search ranking model, which is built on a multitask learning foundation, is the critical link in this connection. Recently, we identified an opportunity to drive more meaningful buyer engagement by enhancing our model’s ability to predict purchase intent. We achieved this via a dual-pronged impr...

Homebridge 2.0 is here, and it speaks Matter

"They would never use the death star on us"

Sierra raises $950M as the race to own enterprise AI gets serious

Elon Musk sent ominous texts to Greg Brockman, Sam Altman after asking for a settlement, OpenAI claims

Hallucination Is Inevitable: An Innate Limitation of Large Language Models

The DuckLake Spec is so Simple, Even a Clanker Can Build One for Dataframes

We are showcasing the simplicity of DuckLake's v1.0 specification by developing a dataframe reader/writer with AI.

Richard Yen: Potential Consequences of Using Postgres as a Job Queue

This post was originally published on the Microsoft Tech Community Blog. Introduction At small scale, using Postgres as a job queue is totally fine, and I’d even say it’s the right call. Fewer moving parts, one less system to manage, ACID guarantees on your jobs. What’s not to love? The problem is that “small scale” has a ceiling, and the ceiling is lower than most people expect. When you’ve got thousands of concurrent workers hammering a jobs table with SELECT ... FOR UPDAT...

1966 Ford Mustang Converted into a Tesla with Working 'Full Self-Driving'

GitHub Is Down

Anthropic and OpenAI are both launching joint ventures for enterprise AI services

Democratizing Machine Learning at Netflix: Building the Model Lifecycle Graph

Saish Sali, Nipun Kumar, Sura ElamuruguIntroductionAs Netflix has grown, machine learning continues to support our ability to deliver value to members and drive excellence across multiple areas of our business. When Netflix began investing in machine learning over a decade ago, it was primarily focused on a single domain: personalization. Scala was the industry standard, our ML teams were relatively small, and optimizing member engagement was our primary use case. Fast forward to today, and m...

Pomiferous: The most extensive apples (pommes) database

Vibhor Kumar: When Open Source Becomes Infrastructure: The pgBackRest Lesson

The recent archival of pgBackRest has created an important and necessary conversation in the PostgreSQL community, not only about one project, one maintainer, or one repository, but about how we think about open-source software once it becomes part of critical enterprise infrastructure. For many PostgreSQL users, pgBackRest has never been just another utility. It has been part of the operational backbone of PostgreSQL environments, especially for backup, restore, archive management, recove...

As X shuts down Communities, Acorn debuts an alternative that puts creators in control

DAG Workflow Engine

Christophe Pettus: Failover Slots, Two Years On

PostgreSQL 19 finally makes logical replication and physical standbys work together safely.

Redis array: short story of a long development process

How Monero's proof of work works

Show HN: Let – Offline-first life events tracker (React Native, SQLite)

US healthcare marketplaces shared citizenship and race data with ad tech giants

OpenAI, Google, and Microsoft Back Bill to Fund ‘AI Literacy’ in Schools

A new bill introduced by Senators Adam Schiff and Mike Rounds would award grants to the National Science Foundation—which has endured massive funding cuts under the Trump Administration for science research—to put “AI literacy” in schools.

Async Rust never left the MVP state

MathNet:30k competition math problems for AI mathematical reasoning benchmarking

Redis array type: short story of a long development

I started working on the new Array data type for Redis in the first days of January. The PR landed the repository only now, so this code was cooked for four months. I worked at the implementation kinda part time (kinda because many weeks were actually full time, sometimes to detach yourself from the keyboard is complicated), and even before LLMs the implementation was likely something I could do in four months. What changed is that in the same time span, I was able to do a lot more. This is t...

Amazon opens up its global logistics network to all businesses

Package Manager CWEs

5 days only: Bring a partner or colleague and get 50% off a second TechCrunch Disrupt 2026 pass

Tailoring AI solutions for health care needs

The AI market is full of big promises of grand transformation. Health care is a prime target for those promises, beset as it is by financial pressures, labor shortages, and the growing burden of caring for an aging population. AI developers are targeting functions that vary widely, from curing cancer and performing surgery to streamlining…

PyInfra 3.8.0 Is Out

Doordash adds AI tools to speed up merchant onboarding, edit photos of dishes

Show HN: Ableton Live MCP

Talking to 35 Strangers at the Gym

[2022] the tragedy of gethostbyname

Why are neural networks and cryptographic ciphers so similar?

ASML's Best Selling Product Isn't What You Think It Is

Ruflo: Multi-agent AI orchestration for Claude Code

Writing middlewares for Rust Lambda functions

Ouster’s new color lidar is coming to replace cameras

GameStop makes $55.5B takeover offer for eBay

The Road to a Billion-Token Context

From CVS to Git, thirty years of source control

Midori, the first browser to offer a VPN with Mesh technology

Nicolas Sauvage is betting on the boring parts of AI

10K+ Satellites in Space (with DuckDB, and H3, Lindel, Spatial Extensions)

Fun with polynomials and linear algebra; or, slight abstract nonsense

Stitch Together Lots of Little HTML Pages with Navigations for Interactions

A Treasure Trove of Fossils Rewrites the Story of Early Life

RaTeX: LaTeX math renderer in Rust

Humanoid Robot Actuators: The Complete Engineering Guide

Cross-level Privacy Preserving Utility Mining

arXiv:2605.00036v1 Announce Type: new Abstract: Privacy-preserving utility mining (PPUM) aims to hide sensitive high-utility patterns while preserving the utility of the sanitized database. In practice, however, many datasets are associated with taxonomic information, which makes the identification and processing of generalized items more challenging. To address this, we investigate the cross-level privacy-preserving utility mining (CLPPUM) problem and propose a method for protecting general...

Symbolic Execution Meets Multi-LLM Orchestration: Detecting Memory Vulnerabilities in Incomplete Rust CVE Snippets

arXiv:2605.00034v1 Announce Type: new Abstract: This paper presents a system combining symbolic execution (KLEE) with a 4-agent multi-LLM architecture for detecting memory vulnerabilities in Rust unsafe code. A central challenge we address is the incomplete-code problem: CVE database entries provide only isolated code snippets that lack struct definitions, imports, and Cargo manifests, causing all existing formal verification tools to fail at compilation with zero output. Our system resolves...

ROSA: Robust and Energy-Efficient Microring-Based Optical Neural Networks via Optical Shift-and-Add and Layer-Wise Hybrid Mapping

arXiv:2605.00032v1 Announce Type: new Abstract: This work presents ROSA, a microring-based optical neural network architecture that improves robustness and energy efficiency using an optical shift-and-add (OSA) module and a layer-wise hybrid mapping strategy. It introduces a noise-aware voltage-to-weight model considering DAC and thermal variations, and a workload-aware framework to co-optimize MRR array size and layer-wise dataflow. Optimized arrays reduce the aggregated relative energy-del...

Shooting Neutrons at Neurons: Radiation Testing of a Spiking Neural Network on Flash-Based FPGAs

arXiv:2605.00030v1 Announce Type: new Abstract: Neuromorphic, or spiking, processors are increasingly being considered for use in harsh, radiation-prone environments such as space and avionics, where energy efficiency and graceful degradation are essential. In this study, we propose and experimentally validate a radiation-testing methodology specifically designed for neuromorphic processors that employ on-chip synaptic plasticity. We map the open-source ODIN SNN processor with Spike-Dependen...

Putting HUMANS first: Efficient LAM Evaluation with Human Preference Alignment

arXiv:2605.00022v1 Announce Type: new Abstract: The rapid proliferation of large audio models (LAMs) demands efficient approaches for model comparison, yet comprehensive benchmarks are costly. To fill this gap, we investigate whether minimal subsets can reliably evaluate LAMs while reducing costs and data redundancy. Analyzing 10 subset selection methods with 18 audio models across 40 tasks covering major LAM evaluation dimensions, we show that subsets of just 50 examples (0.3% of data) can ...

AirFM-DDA: Air-Interface Foundation Model in the Delay-Doppler-Angle Domain for AI-Native 6G

arXiv:2605.00020v1 Announce Type: new Abstract: The success of large foundation models is catalyzing a new paradigm for AI-native 6G network design: wireless foundation models for physical layer design. However, existing models often operate on channel state information (CSI) in the space-time-frequency (STF) domain, where distinct multipath components are inherently superimposed and structurally entangled. This hinders the learning of universal channel representation. Meanwhile, their relia...

What Physics do Data-Driven MoCap-to-Radar Models Learn?

arXiv:2605.00018v1 Announce Type: new Abstract: Data-driven MoCap-to-radar models generate plausible micro-Doppler spectrograms, but do they actually learn the underlying physics? We introduce a physics-based interpretability framework to answer this question via two proposed complementary metrics: one measures alignment between model predictions and the physics-derived Doppler frequency, while the other tests whether predictions preserve the velocity-frequency relationship under velocity in...

Exploring LLM biases to manipulate AI search overview

arXiv:2605.00012v1 Announce Type: new Abstract: Modern large language models (LLMs) are used in many business applications in general, and specifically in web search systems and applications that generate overviews of search results - LLM Overview systems. Such systems are using an LLM to select most relevant sources from search results and generate an answer to the user's query. It is known from many studies that LLMs have different biases, in LLM Overview application both the source select...

FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources

arXiv:2605.00011v1 Announce Type: new Abstract: Federated Learning (FL) enables collaborative intelligence across decentralized data source devices in a privacy-preserving way. While substantial research attention has been drawn to optimizing the learning process for an individual task, real-world applications increasingly require multiple machine learning tasks simultaneously training their models across a shared pool of devices. Naively applying single-FL optimization techniques in multi-F...

Cloud Is Closer Than It Appears: Revisiting the Tradeoffs of Distributed Real-Time Inference

arXiv:2605.00005v1 Announce Type: new Abstract: The increasing deployment of deep neural networks (DNNs) in cyber-physical systems (CPS) enhances perception fidelity, but imposes substantial computational demands on execution platforms, posing challenges to real-time control deadlines. Traditional distributed CPS architectures typically favor on-device inference to avoid network variability and contention-induced delays on remote platforms. However, this design choice places significant ener...

Christophe Pettus: PgQue: Two Snapshots and a Diff

PgQue's zero-mutation queue algorithm eliminates the "queue death spiral" by replacing UPDATE-and-DELETE with snapshot diffing.

Discovering Hard Disk Physical Geometry Through Microbenchmarking (2019)

We’ll take it: a TikToker rallies pledges to buy Spirit Airlines after its abrupt weekend collapse

Scaling AI-Driven Conversations from 10K to 100K While Maintaining Real-Time Consistency

by Ashima Kochar and Deepak Mali. In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Ashima Kochar, Lead Software Engineer in Service Cloud, whose team developed the Conversation Storage Service (CSS), a near-core platform that persists digital engagement conversations. Explore how the team evolved CSS beyond […] The post Scaling AI-Driven Conversations from 10K to 100K While Maintaining Real-Time Consistenc...

Unauthorized macOS port claiming Don Ho as an author?

K3sup – bootstrap K3s over SSH in < 60s

Christophe Pettus: All Your GUCs in a Row: autovacuum_freeze_max_age

PostgreSQL wraps transaction IDs every two billion transactions—autovacuum_freeze_max_age stops your database from crashing when it does.

Using "underdrawings" for accurate text and numbers

How many e's are in strawberry?

The text mode lie: why modern TUIs are a nightmare for accessibility