A field manual for Deutsche Bahn

Christophe Pettus: Eleven CVEs Walk Into a Release

PostgreSQL 18.4, 17.10, 16.14, 15.18, and 14.23 are out as of May 14, 2026. The release fixes eleven security issues and more than sixty bugs. That is not a typo. Eleven CVEs is the largest single-release security batch I can remember, and three of them are CVSS 8.8 with practical exploitation pa…

Creating a Multi-Tenant AI Agent Platform Handling 7K+ Sessions Without Cross-Team Interference

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Priyanka Saraf, Senior Software Engineer on the Agentforce Foundations team. Priyanka is the engineer behind Bring Your Own Planner (BYOP), a multi-tenant AI agent platform that enables teams to develop, deploy, and scale independent custom reasoning engines […] The post Creating a Multi-Tenant AI Agent Platform Handling 7K+ Sessions Without Cross-Team Inter...

Bun's Rust rewrite has been merged

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...

HDD Firmware Hacking

Removing the Modem and GPS from My 2024 RAV4 Hybrid

New Nginx Exploit

Apple-OpenAI Relationship Frays, Setting Up Possible Legal Fight

EditLens: Quantifying the extent of AI editing in text (2025)

SQL’s ORDER BY Has Come a Long Way

Catch Flakes On Main

A small Mechanical Habit today:

Terranox AI (YC W26) Is Hiring a Founding AI/ML Engineer and Summer AI/ML Intern

Linux Compromises, Broken Embargoes, and the Shrinking Patch Window

Cerebras raises $5.5B, kicking off 2026’s IPO season with a bang

OpenAI says hackers stole some data after latest code security issue

New agents.txt file found on DreamHost

RTX 5090 and M4 MacBook Air: Can It Game?

LinkedIn Fanfiction

On The Conflation of Money and Things

The Illusion of Control

Security teams keep making the same mistakes, turning breakthrough technologies into sources of frustration and serious vulnerabilities.

Spotify to adopt Apple’s new video podcast tech, offering creators easier cross-platform distribution

LibreOps

Anthropic forms $200M partnership with the Gates Foundation

Khosla Ventures is betting $10M on Ian Crosby, whose last startup, Bench, imploded

60fps Video on a CGA? – The GlyphBlaster

Bliki: Interrogatory LLM

When we need an LLM to perform a complex task, we often need to feed it a lot of context. Coming up with a design for a new feature requires descriptions of how we want the feature to appear to the user, guidelines on how it should be implemented, information on external systems to consult, and so on. All this can be several pages of markdown. The obvious way to do this is for a human to write this context, but an alternative is to use an LLM to write this context after interviewi...

Christophe Pettus: PARTITION MERGE/SPLIT, Once More With Locking

PostgreSQL 19 brings back MERGE PARTITIONS and SPLIT PARTITION—but simpler and safer than the first attempt.

Browsers Treat Big Sites Differently

Meta's New Reality: Record High Profits. Record Low Morale

What is Firecracker? (A beginners intro)

Bun's Rust rewrite has been merged

Two weeks left: Startup Battlefield 200 applications close May 27

Wirestock raises $23M to supply creative multi-modal data to AI labs

The European Union backs Italy's right to make Meta pay for news

Uber to open 2 campuses in India to support product development, operations

Internet of Shit: AI Poop Analysis App Offered to Sell Me Database of Its Users' Poops

"I hoarded a large database of something valuable, just not what you expect… 150k stools images."

Biggest Questions in Biotech

Establishing AI and data sovereignty in the age of autonomous systems

When generative AI first moved from research labs into real-world business applications, enterprises made a tacit bargain: “Capability now, control later.” Feed your proprietary data into third-party AI models, and you will get powerful results. But your data passes through systems you do not own, under governance you do not set. The protections you rely…

Data readiness for agentic AI in financial services

Financial services companies have unique needs when it comes to business AI. They operate in one of the most highly regulated sectors while responding to external events that are updated by the second. As a result, the success of agentic AI in financial services depends less on the sophistication of the system and more on…

Pipes, Forks, and Zombies

Remove .zig Files from Bun

Henrietta Dombrovskaya: Prairie Postgres May meetup: the Mythical data Warehouse

Yesterday, we had our first meetup at our new venue, which we hope will become our permanent home: the Chicago Innovations Center at 1 W. Monroe. We had the pleasure of having Elizabeth Christensen from Snowflake, who delivered a talk pg_lake: Unifying transactional and analytical data with Postgres. I find the topic exceptionally valuable, and I was delighted when Elizabeth suggested it. Below are some photos and a presentation recording. Many thanks to: Chicago Innovations Cente...

New York, California pension leaders oppose 'extreme' SpaceX control structure

The Download: deepfake porn’s stolen bodies and AI sharing private numbers

This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The shock of seeing your body used in deepfake porn When Jennifer got a research job in 2023, she ran her new professional headshot through a facial recognition program. She wanted…

The Siri for Families Apple Will Never Build

The Dating App Swipe Is Dying. What Comes Next May Be Worse

Myths about /dev/urandom

They Said It Would Cost $54M. We Said "No Thanks."

Saying Goodbye to one line of APL

Show HN: Running the second public ODoH relay

Leaving the Physical World

The Tesla Semi could be a big deal for electric trucking

The Tesla Semi has officially arrived. The company recently released a photo of the first vehicle rolling off its new full-scale production line. This moment has been nearly a decade in the making: The company first announced the Tesla Semi in late 2017. And now we’ve got final battery specs, official prices, and big news…

Rewrite Bun in Rust has been merged

The shock of seeing your body used in deepfake porn

When Jennifer got a job doing research for a nonprofit in 2023, she ran her new professional headshot through a facial recognition program. She wanted to see if the tech would pull up the porn videos she’d made more than 10 years before, when she was in her early 20s. It did in fact return…

Technical Dimensions of Live Feedback in Programming Systems

Classic 7 is a Windows 10 LTSC mod to look 1:1 to Windows 7

Joining forces to modernize legacy software

Strumenta and Metadev Join Forces to Modernize Legacy Software A collaboration combining Strumenta’s expertise in code analysis, extraction, and transformation with Metadev’s capabilities in modeling, artificial intelligence, and code generation from models. Torino/Seville, May 14, 2026 — Strumenta S.r.l. and Metadev S.L. have reached a collaboration agreement to offer a joint approach to Modernizing Legacy […] The post Joining forces to modernize legacy software appeared first on Str...

LLMs are breaking 20 year old system design

Notes from Optimizing CPU-Bound Go Hot Paths

Who decides what AI tells you? Campbell Brown, once Meta’s news chief, has thoughts

A Claude Code and Codex Skill for Deliberate Skill Development

AI coders are carrying half-open laptops through airports, offices, ice rinks

Clio’s $500M milestone arrives just as Anthropic ups the ante

Arena AI Model ELO History

SQLite Code of Ethics

Golden Testing a CAD Library

Claude for Small Business

Beyond Individual Mimicry: Constructing Human-Like Social network with Graph-Augmented LLM Agents

arXiv:2605.12512v1 Announce Type: new Abstract: Driven by large language models (LLMs), social bot can autonomously engage in local interactions, whose human-like behaviors enable them to evade social bot detection. However, while these botnets exhibit realistic local social interactions, they fail to preserve human-like social network. This is because LLM-based bots are graph-unaware and cannot coordinate over global interactions, which makes those botnets vulnerable to graph neural network...

Real-World Challenges in Fake News Detection: Dealing with Posts by Cold Users

arXiv:2605.12511v1 Announce Type: new Abstract: Social media serves as a primary source of information in the current digital era. Many people consume a vast range of information in a very short span, yet, amidst the stream of genuine information, fake news and rumors continue to spread. The need for effective detection models is becoming increasingly critical. Past user behavior and user engagement on a post are strong signals that SOTA approaches leverage for fake news detection and other ...

WhatsApp Vaccine Discourse (WhaVax): An Expert-Annotated Dataset and Benchmark for Health Misinformation Detection

arXiv:2605.12510v1 Announce Type: new Abstract: We introduce WhaVax, a new expert-annotated dataset of vaccine-related WhatsApp messages collected from large Brazilian public groups spanning multiple pandemic years. The dataset was constructed through a rigorous, carefully designed pipeline that integrates keyword-based data collection, semantic deduplication to remove near-duplicate content, and a multi-stage annotation protocol conducted by medical specialists. This process produced a high...

Representing Higher-Order Networks: A Survey of Graph-Based Frameworks

arXiv:2605.12509v1 Announce Type: new Abstract: Many real-world phenomena are naturally modeled by graphs and networks. However, classical graph models are often limited to pairwise interactions and may not adequately capture the richer structures that arise in practice. Higher-order graph formalisms extend this framework by incorporating multiway, hierarchical, temporal, multilayer, recursive, and tensor-based interactions, thereby providing more expressive representations of complex system...

Interoperability Effects: Extending DeFi Lending Risk Models to Multi-Chain Environments

arXiv:2605.12508v1 Announce Type: new Abstract: On-chain lending has expanded across multiple distributed ledgers as DeFi becomes increasingly multi-chain. This environment introduces novel technical and financial mechanisms, particularly cross-blockchain communication and asset transfer protocols, yet cross-chain elements remain understudied in lending protocol risk management. To address this gap, we applied panel regression fixed effects and OLS models to empirically analyze cross-blockch...

Can LLM Agents Simulate Dynamic Networks? A Case Study on Email Networks with Phishing Synthesis

arXiv:2605.12507v1 Announce Type: new Abstract: While Large Language Model (LLM) multi-agent systems (MAS) offer a transformative approach to simulating human behavior in complex systems, it remains largely unexplored whether these simulations can replicate realistic structural and temporal dynamics from a dynamic network perspective. Our evaluation indicates that existing frameworks excel at generating plausible micro-level interactions but fail to capture the emergent, macroscopic topologi...

Scale-Gest: Scalable Model-Space Synthesis and Runtime Selection for On-Device Gesture Detection

arXiv:2605.12506v1 Announce Type: new Abstract: Realizing on-device ML-based gesture detection under tight real-time performance, energy and memory constraints is challenging, especially when considering mobile devices with varying battery-power levels. Existing EdgeAI deployments typically rely on a single fixed detector, limiting optimization opportunities. We present Scale-Gest, a novel run-time adaptive gesture detection framework that expands the detector space into a dense family of ti...

Precautionary Governance of Autonomous AI: Legal Personhood as Functional Instrument

arXiv:2605.12505v1 Announce Type: new Abstract: Autonomous AI systems generate responsibility gaps: consequential actions that cannot be satisfactorily attributed to developers, operators, or users under existing legal frameworks. The prevailing subject-object dichotomy fails to accommodate entities that exhibit autonomous, goal-directed behavior without recognized consciousness. Given irreducible epistemic uncertainty regarding artificial consciousness and the prospect of high-impact harms,...

Prime Successor Irreducibility: Turing Machine Complexity, Kolmogorov Complexity, and Weakness-Based Formulations

arXiv:2605.12504v1 Announce Type: new Abstract: We develop conjectures and theorems expressing the idea that the prime sequence exhibits computational irreducibility in the transition from one prime to its successor. Informally, given a prime pp p, no general algorithm can compute the least prime greater than pp p substantially faster than sequentially testing candidates for primality, except possibly on sparse input sets. Our framework proceeds along complementary lines. First, we formali...

Sculpt OS release 26.04

Show HN: Nibble