DuckDB: it's not quack science

Golang code review notes II

Build 2026: WSL improvements and the new Containers CLI and APIs

Show HN: Edsger – A handwritten Clojure REPL for the reMarkable 2

Microsoft's new quantum computer chip has a fundamental problem

Life and work is not meant to be spent in isolation

AI Engineers aren't safe from being replaced by AI

Recovering Eric Graham's 1987 Amiga Juggler raytracer source code

Revealing the frontier with stacks and queues

Writing Portable ARM64 Assembly

Introducing RadixAttention to Trellis

DIY Bipedal Robot Used Pneumatic "Air-Muscles" Instead of Motors

Microsoft Doubles Down on Controversial Quantum Computing Claims

Radim Marek: pg_stat_statements: everything it can't

Part one made the core case: pg_stat_statements counts, it doesn't record. It walked through how the queryid jumble fragments one logical query into many rows, how the first-seen text freezes your per-request tags, and how the averages bury the p99 that actually pages you. All of that was about data the extension has and distorts. This part is about the rest: the entries it silently throws away, the query text that can vanish all at once, the plans and replicas it never records, and the knobs...

U of T researchers demonstrate AI worm could target any online device

Show HN: I reverse-engineered the world maps of Test Drive III (1990 DOS game)

Laurenz Albe: When is a function leakproof?

© Laurenz Albe 2026 Instigated by a customer, I've been trying to improve the performance of row-level security. Central to good performance in this area is the concept of leakproof functions and operators. I'll go over the priciples quickly, but I'll focus on the question what leakproof really means, and what it should mean. In a way, this article is a request for comments: I'd be curious what you think about the topic! Security barrier views and row-level security PostgreSQL has two relate...

SaySynth: A Brief History of Speaking Machines

The Unreasonable Redundancy of Nature's Protein Folds

Spectral Asymptotics of Neural Network Loss Landscapes: An Exact Decomposition of the Curvature Exponent

arXiv:2606.02596v1 Announce Type: new Abstract: The curvature exponent $\alpha$ in $h_k \propto \sigma_k^\alpha$ -- governing how Hessian eigenvalues scale with gradient singular values -- varies systematically across layer types ($\alpha \approx 2$ for convolutions, $\approx 1$ for transformer attention, $< 1$ for MLP up-projections). Why? We prove the Spectral Alignment Decomposition: $\alpha = 2 + d\log\Phi_k / d\log\sigma_k$, where $\Phi_k$ measures alignment between Kronecker factor eig...

Human-in-the-Loop Contextual Bandits for Short-Term Rental Dynamic Pricing: Structural Equivalence of Historical Warm-Up and Approval-Gated Live Learning

arXiv:2606.02595v1 Announce Type: new Abstract: Dynamic pricing in short-term rental (STR) markets presents a distinctive challenge for online learning algorithms: pricing decisions carry significant financial risk, operators require explainability, and market feedback is sparse (one booking outcome per listed night). We introduce the Human-in-the-Loop Gated Bandit (HITL-GB) framework, in which a contextual bandit algorithm generates price recommendations but a human agent retains authority ...

Lean-GAP: A Dataset of Formalized Graduate Algebra Problems

arXiv:2606.02588v1 Announce Type: new Abstract: We present Lean-GAP (Lean-Graduate Agebra Problems), 430 formalized graduate-level algebra problems from the textbook Abstract Algebra by Dummit and Foote. We develop a scalable pipeline consisting of PDF-to-LaTeX preprocessing, autoformalization into Lean 4, and verification of informal-formal correspondence. While the preprocessing and autoformalization stages can be largely automated, we find that verification remains the most subtle and lab...

Fewer, Better Frames: A Compute-Normalized Proof of Concept for Coherence-First World-Model Rendering with Model-Guided FSR4 Frame Generation

arXiv:2606.02586v1 Announce Type: new Abstract: World models are often evaluated by native frame cadence, but higher nominal frame rate can trade away long-horizon scene stability. This article reports an independent proof of concept implemented using Overworld's Waypoint-1.5 family and WorldEngine runtime on a Windows fallback stack with ONNX Runtime + DirectML and an FSR4 DX12 bridge. The tested coherence-first branch generates higher-context anchor frames at a 15 FPS presentation-timeline...

An improved PINN framework integrating localized collocation scheme and PIKF

arXiv:2606.02585v1 Announce Type: new Abstract: We propose a localized physics-informed kernel function neural network (LPIKFNN), which is an improved physics-informed neural network (PINN) based on physics-informed kernel function (PIKF). In the LPIKFNN framework, the localized collocation scheme discretizes the physical quantities within the local domain, where the physical field is represented as a linear combination of PIKFs. Based on this representation, the multilayer perceptron is tra...

IdiomX A Multilingual Benchmark for Idiom Understanding, Retrieval, and Interpretation

arXiv:2606.02584v1 Announce Type: new Abstract: Idiomatic expressions remain a persistent challenge for natural language processing because their meanings are often non-compositional, context-dependent, and difficult to align across languages. Existing idiom resources are often limited in scale, contextual diversity, or multilingual coverage, restricting their utility for modern language models. We introduce IdiomX, a large-scale multilingual benchmark for idiom understanding, retrieval, and...

A complete simulation framework for stone degradation on 3D real geometries

arXiv:2606.02583v1 Announce Type: new Abstract: We present a complete workflow for predicting stone degradation phenomena, such as marble sulfation, in works of art. The main challenge is to accurately acquire the geometry of the artwork and then use it to perform simulations based on a mathematical model of the degradation process, typically formulated as a system of partial differential equations (PDEs). To address this, we generate a point cloud of the object surface using photogrammetr...

Cost-Aware Query Routing in RAG: Empirical Analysis of Retrieval Depth Tradeoffs

arXiv:2606.02581v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) faces a fundamental three-way tension: deeper retrieval improves factual grounding but inflates token costs and end-to-end latency. Static retrieval configurations cannot resolve this tension across heterogeneous query workloads -- simple definitional queries waste budget on unnecessary context, while complex analytical prompts are underserved by shallow retrieval. This paper introduces \emph{Cost-Aware RAG}...

NLAB: The worlds smallest electronics lab

Words of Type

The American Missile Crisis

Rsync and Outrage

Can A.I. Produce Writing That We Want to Read?

Agentic Mfw

Patterns of Structure and Argument: a guide to mathematical thinking(2017) [pdf]

Capstone – multi-platform, multi-architecture disassembly framework

Ad Infini­Tum

Dynamically Splitting Wide Partitions in Cassandra for Time Series Workloads

By Rajiv Shringi, Kaidan Fullerton, Oleksii Tkachuk and Kartik SathyanarayananIntroductionNetflix’s TimeSeries Abstraction is a scalable system for ingesting and querying petabytes of temporal event data with millisecond latency. We use Apache Cassandra 4.x as the underlying storage for these main reasons:Throughput, latency, and cost: Cassandra can handle millions of low‑latency reads and writes in a cost-effective manner.Operational maturity: Our data platform team has deep operational...

Pluto.jl 1.0 release – reactive notebook for Julia

I Don't Want My Search Engine to Think for Me

Christophe Pettus: All Your GUCs in a Row: createrole_self_grant

PostgreSQL 16 overhauled role management to tame the near-superuser power of CREATEROLE.

He Blew the Whistle on DOGE. Then His Brakes Were Cut

More than 6 out of 10 people turn to AI for psychological support

Full Disclosure: 1-Click GitHub Token Stealing via a VSCode Bug

LLMs are not the black box you were promised

Google Is Quietly Buying Code From Play Store Developers to Train AI

Google is trying to buy code from some Android developers as part of a "confidential" program.

AI Outperforms Law Professors in Stanford Law Study

NPM-Scan:Detecting Dependency Confusion, Typosquatting,and Credential Harvesting

Squishmallows, dentures, and an ‘I Heart Hot Dads’ bag: Uber has found thousands of items left in robotaxis

WinUtils: Shell-powered CLI tools for Windows 95

Now AI agents need what RSS does

California’s university system went all in on AI, now it's tearing itself apart

Paseo – Beautiful open-source coding agent interface (desktop, mobile, CLI)

Cyera eyes $12B valuation at 80x ARR multiple despite operating losses

Gleam v1.17.0 Released

incant: Incus frontend to describe and provision development environments

PostgreSQL Connection Pooling Explained: How It Works and Why It Matters

submitted by /u/Majestic-Witness3655 [link] [comments]

CoddSpeed: Hardware Accelerated Query Processing in Microsoft Fabric

My colleagues wrote this paper about what we've been working on & it won the SIGMOD 2026 Industry Track Best Paper award. I'm not one of the authors, but I've had some involvement in the work. submitted by /u/warehouse_goes_vroom [link] [comments]

Show HN: Live breath detection and biofeedback from a phone microphone

Made a Tool to Streams Changes from Microsoft SQL Server to Apache Kafka

My thoughts after using Clojure for about a month

CT scans of BYD car parts

Cyberdecks are having a moment, rejecting big tech surveillance with style and substance

Radim Marek: pg_stat_statements: everything it tells you

If not first, pg_stat_statements is one of the most used extensions in the PostgreSQL ecosystem. It ships in contrib and costs almost nothing to use. Most of us turn to it to answer the question: what is the database actually doing? It's genuinely useful. You can use it to get a snapshot of what happened in a given timeframe, and make a faster decision about what to fix. Coming from other database engines, you might reach for it expecting something a bit more, a query store. The built-in feat...

Android will now warn you if a caller is impersonating someone you know

Codex Discovered a Hidden HTTP/2 Bomb

Microsoft announces Scout, an autonomous AI agent built on OpenClaw

Launching the Rust Foundation Maintainers Fund

Multicore suppport for DOS is real – partly

Open Repair Data Standard – Open Repair Alliance

The advertising cartel coming to your web browser

MAI-Thinking-1

Gmail thinks I'm stupid, so I left

How we index images for RAG

CLI tool that packages data science projects for LLM context windows

AI Vulnerability Intelligence Agent Converts CVEs to Actionable Security Reports

Uber caps employee AI spending after blowing through budget in four months

Bringing Up DeepSeek-V4-Flash on AMD MI300X

Pyro Caml Continuous Profiler for OCaml

New Microsoft tool lets devs spin up AI behavior tests using text descriptions

Microsoft's MAI-Code-1-Flash Scores 51% SWE-Bench Pro with Just 5B Active Params