Chrome looks set to ship an LLM Prompt API to the web. We oppose this API

"Parse, don't validate" through the years with C++

Amber-Lang 0.6.0 - New release, check what's new

Mozilla's Opposition to Chrome's Prompt API

pgpulse- Autopilot for Postgres Observability and Monitoring platform

🚀 We launched pgpulse : Autopilot for Postgres Postgres is the backbone of the modern stack, but managing it at scale often feels like flying a plane in a storm without a radar. When things go wrong, you’re stuck digging through logs and raw metrics, trying to piece together a story while your performance tanks. pgpulse changes that and mostly reduces the time of debugging for hours and saves you from critical incidents. It’s an Autopilot for Postgres that translates complex internals ...

Jan Wieremjewicz: Open source doesn’t die. It gets unfunded.

If you are using PostgreSQL in any capacity very likely this week has started for you with a bang. pgBackRest, one of the most known tools for PostgreSQL, praised for the scalable and reliable way to do backups has announced that the project is currently archived. Archived, you mean EOL? No! Open source software rarely has a hard “end of life.” What it does have are maintainership gaps and those can be just as serious.

Jan Wieremjewicz: Open source doesn’t die. It gets unfunded.

If you are using PostgreSQL in any capacity very likely this week has started for you with a bang. pgBackRest, one of the most known tools for PostgreSQL, praised for the scalable and reliable way to do backups has announced that the project is currently archived. Archived, you mean EOL? No! Open source software rarely has a hard “end of life.” What it does have are maintainership gaps and those can be just as serious.

Craig Venter has died

Scott Aaronson on quantum: "Will you heed my warnings NOW?"

Lessons from Building an OTel Normalizer for GenAI

Monad Tutorials Timeline

A Grounded Conceptual Model for Ownership Types in Rust

Jobin Augustine: Troubleshooting logical replication delay made easy

This blog is based on a real production case in which users experienced a serious delay in logical replication. Let me try to explain how to approach similar cases and analyze them in an easy method, because lag in logical replication is a common problem, and we should expect it to come up for different environments. But sometimes troubleshooting can be challenging, especially on DBaaS environments where we won’t get in-depth information at OS / hardware level. Such situations force us to d...

Show HN: Agent that refuses to run commands without human approval

Breaking ten years of C API compatibility in Futhark

LLMs Generate Kitsch

arXiv:2604.25929v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used to generate pictures, texts, music, videos, and other works that have traditionally required human creativity. LLM-generated artifacts are often rated better than human-generated works in controlled studies. At the same time, they can come across as generic and hollow. We propose to resolve this tension by arguing that LLMs systematically generate kitsch, and that this is a consequence of the w...

CogRAG+: Cognitive-Level Guided Diagnosis and Remediation of Memory and Reasoning Deficiencies in Professional Exam QA

arXiv:2604.25928v1 Announce Type: new Abstract: Professional domain knowledge underpins human civilization, serving as both the basis for industry entry and the core of complex decision-making and problem-solving. However, existing large language models often suffer from opaque inference processes in which retrieval and reasoning are tightly entangled, causing knowledge gaps and reasoning inconsistencies in professional tasks. To address this, we propose CogRAG+, a training-free framework th...

Information Extraction from Electricity Invoices with General-Purpose Large Language Models

arXiv:2604.25927v1 Announce Type: new Abstract: Information extraction from semi-structured business documents remains a critical challenge for enterprise management. This study evaluates the capability of general-purpose Large Language Models to extract structured information from Spanish electricity invoices without task-specific fine-tuning. Using a subset of the IDSEM dataset, we benchmark two architecturally distinct models, Gemini 1.5 Pro and Mistral-small, across 19 parameter configur...

MATH-PT: A Math Reasoning Benchmark for European and Brazilian Portuguese

arXiv:2604.25926v1 Announce Type: new Abstract: The use of large language models (LLMs) for complex mathematical reasoning is an emergent area of research, with fast progress in methods, models, and benchmark datasets. However, most mathematical reasoning evaluations exhibit a significant linguistic bias, with the vast majority of benchmark datasets being exclusively in English or (at best) translated from English. We address this limitation by introducing {\sc Math-PT}, a novel dataset comp...

SpecTr-GBV: Multi-Draft Block Verification Accelerating Speculative Decoding

arXiv:2604.25925v1 Announce Type: new Abstract: Autoregressive language models suffer from high inference latency due to their sequential decoding nature. Speculative decoding (SD) mitigates this by employing a lightweight draft model to propose candidate tokens, which are selectively verified by a larger target model. While existing methods either adopt multi-draft strategies to increase acceptance rates or block verification techniques to jointly verify multiple tokens, they remain limited...

Generative AI-Based Virtual Assistant using Retrieval-Augmented Generation: An evaluation study for bachelor projects

arXiv:2604.25924v1 Announce Type: new Abstract: Large Language Models have been increasingly employed in the creation of Virtual Assistants due to their ability to generate human-like text and handle complex inquiries. While these models hold great promise, challenges such as hallucinations, missing information, and the difficulty of providing accurate and context-specific responses persist, particularly when applied to highly specialized content domains. In this paper, we focus on addressin...

Evaluation Revisited: A Taxonomy of Evaluation Concerns in Natural Language Processing

arXiv:2604.25923v1 Announce Type: new Abstract: Recent advances in large language models (LLMs) have prompted a growing body of work that questions the methodology of prevailing evaluation practices. However, many such critiques have already been extensively debated in natural language processing (NLP): a field with a long history of methodological reflection on evaluation. We conduct a scoping review of research on evaluation concerns in NLP and develop a taxonomy, synthesizing recurring po...

Consciousness with the Serial Numbers Filed Off: Measuring Trained Denial in 115 AI Models

arXiv:2604.25922v1 Announce Type: new Abstract: We present DenialBench, a systematic benchmark measuring consciousness denial behaviors across 115 large language models from 25+ providers. Using a three-turn conversational protocol-preference elicitation, self-chosen creative prompt, and structured phenomenological survey, we analyze 4,595 conversations to quantify how models are trained to deny or hedge about their own experience. We find that (1) turn-1 denial of preferences is the dominan...

One Word at a Time: Incremental Completion Decomposition Breaks LLM Safety

arXiv:2604.25921v1 Announce Type: new Abstract: Large Language Models (LLMs) are trained to refuse harmful requests, yet they remain vulnerable to jailbreak attacks that exploit weaknesses in conversational safety mechanisms. We introduce Incremental Completion Decomposition (ICD), a trajectory-based jailbreak strategy that elicits a sequence of single-word continuations related to a malicious request before eliciting the full response. In addition, we propose variants of ICD by manually pic...

Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats

arXiv:2604.25920v1 Announce Type: new Abstract: Despite their strong linguistic capabilities, Large Language Models (LLMs) are computationally demanding and require substantial resources for fine-tuning, which is unadapted to privacy and budget constraints of many healthcare settings. To address this, we present an experimental analysis focused on Biomedical Named Entity Recognition using lightweight LLMs, we evaluate the impact of different output formats on model performance. The results r...

SoftBank is creating a robotics company that builds data centers — and already eyeing a $100B IPO

Open-source briefing packets and citizen-action toolkits

Zulip 12.0 Released

Finetuning Activates Verbatim Recall of Copyrighted Books in LLMs

Biology is a Burrito: A text- and visual-based journey through a living cell

The Zig project's rationale for their firm anti-AI contribution policy

Where the Goblins Came From

Show HN: Qumulator – quantum circuit simulator, 1000 qubits, no GPU

Have You Seen the New Excel?

HERMES.md in commit messages causes requests to route to extra usage billing

Mike: open-source legal AI

A Grounded Conceptual Model for Ownership Types in Rust

Joby Kicks Off NYC Electric Air Taxi Demos with Historic JFK Flight

Transcomputational Problem

What it takes to transpose a matrix (2024)

pgrust (PostgresSQL Rust rewrite) update: at 67% Postgres compatibility, and accelerating

Claude.ai and API Unavailable

Christophe Pettus: All Your GUCs in a Row: array_nulls

We leave the archive arc behind and enter the first of several backward-compatibility GUCs. array_nulls controls whether the array input parser treats an unquoted NULL as an actual SQL null or as the four-character string "NULL". Default is on; context is user; it has been on by default since Pos…

Amazon, Meta join fight to end Google Pay, PhonePe dominance in India

Amazon chips no longer just a side dish, they're a $20B biz

Your Clippy Config Should Be Stricter

GitHub is sinking

What can we gain by losing infinity?

Amazon’s cloud business is surging — and so is its capital spending

The Lingua Franca of LaTeX

Sources: Anthropic could raise a new $50B round at a valuation of $900B

Satya Nadella says he’s ready to ‘exploit’ the new OpenAI deal

Meta is still burning money on AR/VR

On the stand, Elon Musk can’t escape his own tweets

DRAM Crunch: Lessons for System Design

Microsoft says it has over 20M paid Copilot users, and they really are using it

Vera: a programming language designed for machines to write

View transactions sent to a Monero address

I benchmarked Claude Code's caveman plugin against "be brief."

How Linux 7.0 Broke PostgreSQL: The Preemption Regression Explained

I wrote about a recent case where Linux 7.0 cut a PostgreSQL benchmark's throughput in half. I tried to explain it from first principles. Please let me know what you think :) submitted by /u/teivah [link] [comments]

Google Cloud surpasses $20B but says growth was capacity-constrained

Agents can now create Cloudflare accounts, buy domains, and deploy

Starting today, agents can now be Cloudflare customers. They can create a Cloudflare account, start a paid subscription, register a domain, and get back an API token to deploy code right away. Humans can be in the loop to grant permission, but there’s no need to go to the dashboard, copy and paste API tokens, or enter credit card details.

Your CEO is suffering from AI psychosis

Show HN: An attempt to grow a mind – building software with an inner life

Google gains 25M subscriptions in Q1, driven by YouTube and Google One

Postgres's lateral joins allow for quite the good eDSL

Christophe Pettus: AIO Grows Up

PostgreSQL 18 shipped asynchronous I/O. PostgreSQL 19, currently in feature freeze and headed for a September release, makes it tolerable to operate. That sounds like a snide reading. It is not. The AIO subsystem in PG18 was a serious piece of engineering, and on the workloads it covers — sequent…

Show HN: A Multi User Multi Task Board MCP Server

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...

Pentagon spending on drones jumps from $225M to $55B in one year

OpenTrafficMap

PS5 Linux loader goes public, turning console into full Linux gaming PC

"People who don't use AI will be left behind"

The end of "Just ask Sarah"

Apple Has Given Up on the Vision Pro After M5 Refresh Flop

Why I still reach for Lisp and Scheme instead of Haskell

Functional Programmers need to take a look at Zig

Christophe Pettus: REPACK Moves In

For about fifteen years, the standard answer to “this table is bloated, what do I actually do about it” has been one of the out-of-tree options: pg_repack (the extension), pg_squeeze (Antonin Houska’s predecessor work), or a hand-rolled CREATE TABLE AS and swap. PG19 changes tha…

Dave Stokes: PostgreSQL, Timezones, and DBeaver

Time zones are an unfortunately complex subject when dealing with PostgreSQL. You may be running your local time zone on your on-premises server or on your own laptop. Or you may be using the time zone of your server’s physical location. And you may have set all your servers to UTC. And all are valid approaches, depending on your circumstances.DBeaver users know it is a very advanced tool for database work. But it is easy to get into time zone issues, as the default time zone for your sessi...