Woman's Talkspace therapy app sessions exposed in court

2-D Mathematical Curves

OpenAI can't build working RSS feeds

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...

The Pulse of India’s Supply Chain: How Flipkart Plans for 500 Million Customers — Part 1

In the world of e-commerce, a click of a “Buy Now” button starts an invisible race. Across India (metro cities or remote villages) millions of customers expect their packages to arrive with a speed that feels like magic.But behind that “magic” is a monumental logistical puzzle. At Flipkart, we serve over 500 million registered users. We manage 150 million products. On an average day, we handle 4 million shipments. During our biggest sales events, like the Big Billion Days (BBD), that...

Train Your Own LLM from Scratch

What (un)exactly do you mean by semantic search?

Ryan welcomes Bryan O’Grady,  Head of Field Research and Solutions Architecture at Qdrant, to discuss the differences between traditional text search engines powered by Lucene and modern vector databases, when vector search’s exact-match needs work for things like logs and security analytics and when semantic search works for user-facing discovery and non-exact results, and how Qdrant is growing into video embeddings and local-agent contexts.

An LLM agent that runs on any Linux box

Sparse Regression under Correlation and Weak Signals: A Reproducible Benchmark of Classical and Bayesian Methods

arXiv:2605.00835v1 Announce Type: new Abstract: Choosing between classical and Bayesian sparse regression methods involves a real trade-off: penalized estimators like Lasso run in milliseconds but give no uncertainty estimates,while Horseshoe and Spike-and-Slab priors produce full posteriors but need MCMC chains that take minutes per fit.Surprisingly few studies compare these two families head-to-head under the conditions that actually make sparse regression hard -- correlated features, weak...

Polynomial-Time Optimal Group Selection via the Double-Commutator Eigenvalue Problem

arXiv:2605.00834v1 Announce Type: new Abstract: The algebraic diversity framework replaces temporal averaging over multiple observations with algebraic group action on a single observation for second-order statistical estimation. The central open problem in this framework is $\textit{group selection}$: given an $M$-dimensional observation with unknown covariance structure, find the finite group whose spectral decomposition best matches the covariance. Naive enumeration of all subgroups of th...

Agentopic: A Generative AI Agent Workflow for Explainable Topic Modeling

arXiv:2605.00833v1 Announce Type: new Abstract: Agentopic is a novel agent-based workflow for explainable topic modeling that leverages the reasoning capabilities of Large Language Models (LLMs). Existing topic modeling approaches such as Latent Dirichlet Allocation (LDA) and BERTopic often lack transparency on how topics are assigned or grouped. Agentopic addresses this by using multiple agents that collaboratively perform topic identification, validation, hierarchical grouping, and natural...

Synthetic Designed Experiments for Diagnosing Vision Model Failure

arXiv:2605.00832v1 Announce Type: new Abstract: Current synthetic data pipelines for computer vision generate images without diagnosing what the downstream model actually needs. This open-loop paradigm treats synthetic data as cheap real data, randomly sampling the generator's output space and hoping to cover the model's failure modes. We argue this fundamentally misuses synthetic data's unique property: the controllable, independent variation of scene factors.Drawing on the statistical theo...

GhostServe: A Lightweight Checkpointing System in the Shadow for Fault-Tolerant LLM Serving

arXiv:2605.00831v1 Announce Type: new Abstract: The rise of million-token, agent-based applications has placed unprecedented demands on large language model (LLM) inference services. The long-running nature of these tasks increases their susceptibility to hardware and software faults, leading to costly job failures, wasted resources, and degraded user experience. The stateful key-value (KV) cache, which grows with the sequence length, presents a central challenge as it is a critical and vuln...

Efficient Accelerated Graph Edit Distance Computation on GPU

arXiv:2605.00830v1 Announce Type: new Abstract: Graph representation is a powerful abstraction of real-world objects and relations. Computing the Graph Edit Distance (GED) between graphs is critical in domains such as bioinformatics, machine learning, and pattern recognition. GED measures the minimum number of edit operations required to transform one graph into another. However, the high computational complexity of optimal and near-optimal methods limits their applicability to large-scale g...

LLM-based uncertainty assessment of social media situational signals for crisis reporting

arXiv:2605.00829v1 Announce Type: new Abstract: Social media has become a critical source of situational awareness during disasters, providing real-time insights into evolving impacts and emerging needs. To support crisis response at scale, recent work has increasingly leveraged large language models (LLMs) to automatically classify and summarize situational information from social media streams. However, existing approaches implicitly assume that extracted situational claims are equally pla...

Canonical LST: A Protocol-Native Liquid Staking Solution for Tezos

arXiv:2605.00828v1 Announce Type: new Abstract: Canonical LST (sTEZ) is an enshrined, protocol-native mechanism designed to mitigate the centralization risks associated with liquid staking intermediaries. Intended to complement direct staking rather than replace it, Canonical LST provides a neutral, public alternative managed directly by the Tezos protocol. It allows any tez holder to participate in aggregated staking without reliance on third-party operators. sTEZ follows an accrual-based d...

Separating Intelligence from Execution: A Workflow Engine for the Model Context Protocol

arXiv:2605.00827v1 Announce Type: new Abstract: Large Language Model (LLM) agents increasingly interact with external systems through tool-calling protocols such as the Model Context Protocol (MCP). In prevailing architectures, the agent must reason about every tool invocation in every session, consuming tokens proportional to the number of actions performed--even when the task has been solved before. We present the MCP Workflow Engine, a novel MCP-native orchestration layer that decouples i...

Understanding the Performance Plateau in Text-to-Video Retrieval: A Comprehensive Empirical and Linguistic Analysis

arXiv:2605.00826v1 Announce Type: new Abstract: Text-to-video retrieval enables users to find relevant video content using natural language queries, a task that has grown increasingly important with the rapid expansion of online video. Over the past six years, research has produced numerous methods, such as dual encoders, attention-driven models, and multimodal fusion approaches; however, fundamental questions remain about model behavior, dataset influence, and query difficulty. In this work...

Linux, Windows or macOS: Which Operating System to Use in 2026?

CVE-2026-31431: Copy Fail vs. rootless containers

Apple Explores Using Intel and Samsung to Build Main Device Chips in the US

Shelley: Mobile-friendly, web-based, multi-modal, single-user coding agent

The Car That Watches You Back: The Advertising Infrastructure of Modern Cars

As workers worry about AI, Nvidia’s Jensen Huang says AI is ‘creating an enormous number of jobs’

PgQue: Two Snapshots and a Diff

Meta, TikTok Recv Personal Data from Health Exchanges Alarming Privacy Experts

pgxbackup: Continuity Support for pgBackRest

What I'm Hearing About Cognitive Debt (So Far)

When Networking Doesn't Work

SprintiQ – open-source sprint planning for Claude Code

Bun is being ported from Zig to Rust

Embedded Rust or C Firmware? Lessons from an Industrial Microcontroller Use Case with Ariel OS

Y Combinator's Stake in OpenAI (0.6%)

Researchers Asked LLMs for Strategic Advice. They Got "Trendslop" in Return

The state of ARM64 on Windows in 2026

Your Dinner Got Worse On Purpose

Show HN: I Built a Museum Exhibit

Suspected YouTube bug spikes RAM over 7gbs users report lag and frozen tabs

What do we lose when AI does our work?

Agent Skills

Apple confirms iOS 26.5 Messages app adds RCS end-to-end encryption

Podman rootless containers and the Copy Fail exploit

U.S. government warns of severe CopyFail bug affecting major versions of Linux

Testing macOS on the Apple Network Server 2.0 ROMs

OpenAI’s cozy partner Cerebras is on track for a blockbuster IPO

KDE Union: Spring 2026 Update

Transformers Are Inherently Succinct

Claude Is Dead

Welcome to Gas City

Frizbee is a tool you may throw a tag at and it comes back with a checksum

Formatting a 25M-line codebase overnight

Security Advisory: Local privilege escalation in Lix and Nix

How AI is Changing Programming Language Usage

The impact of AI on software development involves more than code creation tools.

Artificial Intelligence in Physics: ‘The Influence is Huge’

Research groups have been using AI to address outstanding problems that have remained out of reach by traditional computational methods.

Should There Be Limitations on Post-Mortem Avatars?

Ghostbots may be comforting to some but others say they could disrupt the grieving process.

Why Periodic Testing Fails Modern Apps

Why periodic security testing fails modern apps, and what a stronger approach looks like in practice.

Real-Time Data Processing in UAV Systems

Drones can assist researchers investigating interactions between computational and real-life dynamics, blending theory and practical computer science in physically interactive contexts.

Yourdon Had a Point

Considering the notion that "international competition will put American programmers out of work.”

Empowerment over Automation in AI Summarization of Online Reviews

AI-generated review summaries must enable awareness, comparison, and control so that users remain active interpreters rather than silent recipients of algorithmic consensus.

Connecting Software and Manufacturing Through APIs

APIs connect software and manufacturing systems so that they can operate as one.

The Hidden Privacy Cost of Screenshot Collection in Computing Research

It is time for lawmakers and institutional review boards to reckon with screenshot collection’s privacy problem.

PGKeeper: Building the Bouncer We Needed for Postgres | Figma Blog

How OpenAI delivers low-latency voice AI at scale

Why a Decade of Writing Detection Logic Makes the Mythos Exploit Numbers Less Scary

uutils coreutils CVEs

Google is discontinuing its free web search index for developers

White House Considers Vetting A.I. Models Before They Are Released

DHS Demanded Google Data on Canadian's Activity, Location over Anti-ICE Posts

Show HN: nfsdiag - a NFS diagnostic application

Release v0.9.0 · Foxboron/ssh-tpm-agent

Image AI models now drive app growth, beating chatbot upgrades

Links to CSS colour palettes

A while back I decided to stop using Tailwind for new projects and to just write vanilla CSS instead. But one thing I missed about Tailwind was the colour palette (here as CSS). If I wanted a light blue I could just use blue-100 and if I didn’t like it maybe try blue-200 or blue-50. I’m not very good with colours so it makes a big difference to me to have a reasonable colour palette that somebody who is better at colour than me has thought about. But I’m also a little tired of those Tai...

Oasis Linux

Securing a DoD Contractor: Finding a Multi-Tenant Authorization Vulnerability

Usage-based pricing killing your vibe, here's how to roll your own local AI

Let's Talk about LLMs

Discord Patch Notes: May 4, 2026

Check out the finer details of the more technical fixes implemented into Discord recently.

Hackers are still exploiting the cPanel bug to gain control of thousands of websites

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