cartero Saturday, August 15, 2026 · No. 26029
PostgreSQL

Shaun Thomas: It Depends: Using Session Variables in Postgres

There's been a kind of persistent myth regarding Postgres since I first started using it seriously over 20 years ago: "Postgres doesn't support user variables." This hasn't really been true since version 8.0 way back in 2005. Part of this stems from the fact it doesn't do things the same way as other common database engines.Why don't we spend a little time exploring the functionality that time forgot?What Everyone Else Is DoingBefore I delve into the Postgres approach, let's take a look at th...

Startups and Venture

There’s No Minimum Angel Check Size

I remember one time I had this guy call me up, wanted to pitch me, right? Wanted to sell me stock. So I let him. I got every fuckin’ rebuttal outta this guy, kept him on the phone for an hour and a half. Towards the end I started askin’ him buying questions, like what’s the firm minimum? That’s a buying question, right there. That guy’s gotta take me down. It’s not like I asked him, what’s your 800 number? That’s a fuckoff question. I was givin’ him a run and he blew it. Oka...

xAI

The Download: a new Christian phone network, and debugging LLMs

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. A new US phone network for Christians aims to block porn and gender-related content A new US-wide cell phone network marketed to Christians is set to launch next week. It blocks…

Privacy

A new T-Mobile network for Christians aims to block porn and gender-related content

A new US-wide cell phone network marketed to Christians is set to launch next week. It blocks porn, which experts in network security say marks the first time a US cell plan has used network-level blocking for such content that can’t be turned off even by adult account owners. It’s also rolling out a filter…

JavaScript and TypeScript

Time is a construct but it can still break your software

Ryan welcomes  Jason Williams, senior software engineer at Bloomberg and  the creator of Rust-based JavaScript engine Boa, to the show to dive into why date and time handling in JavaScript is so difficult and how the Temporal proposal aims to fix it.

Artificial Intelligence

DeepTutor: Towards Agentic Personalized Tutoring

arXiv:2604.26962v1 Announce Type: new Abstract: Education represents one of the most promising real-world applications for Large Language Models (LLMs). However, conventional tutoring systems rely on static pre-training knowledge that lacks adaptation to individual learners, while existing RAG-augmented systems fall short in delivering personalized, guided feedback. To bridge this gap, we present DeepTutor, an agent-native open-source framework for personalized tutoring where every feature s...

Compilers

Static Program Slicing Using Language Models With Dataflow-Aware Pretraining and Constrained Decoding

arXiv:2604.26961v1 Announce Type: new Abstract: Static program slicing is a fundamental software engineering technique for isolating code relevant to specific variables. While recent learning-based approaches using language models (LMs) show promise in automating slice prediction, they suffer from inaccurate dependency modeling and unconstrained generation, where LMs fail to capture precise data flow relations and produce slices containing hallucinated tokens and statements. To address these...

AGI and AI Safety

CareGuardAI: Context-Aware Multi-Agent Guardrails for Clinical Safety & Hallucination Mitigation in Patient-Facing LLMs

arXiv:2604.26959v1 Announce Type: new Abstract: Integrating large language models (LLMs) into patient-facing healthcare systems offers significant potential to improve access to medical information. However, ensuring clinical safety and factual reliability remains a critical challenge. In practice, AI-generated responses may be conditionally correct yet medically inappropriate, as models often fail to interpret patient context and tend to produce agreeable responses rather than challenge uns...

Artificial Intelligence

LLM Biases

arXiv:2604.26960v1 Announce Type: new Abstract: Transformer-based agentic AI is rapidly being deployed on major platforms to help users shop, watch, and navigate content with less effort. While these systems can deliver impressive performance, a key concern is whether they may be less reliable than they appear. We ask a simple but fundamental question: whether the mechanisms that make transformer-based agents effective can also induce systematic biases or distortions? We study this question ...

AI Psychosis

Designing Ethical Learning for Agentic AI: Toegye Yi Hwang's Ethical Emotion Regulation Framework

arXiv:2604.26958v1 Announce Type: new Abstract: Agentic AI systems capable of autonomous goal setting and proactive intervention introduce new challenges for regulating moral-emotional processes in learning environments. Existing frameworks typically treat emotion as reactive feedback or engagement optimization, overlooking the need for normative regulation across autonomous decision cycles.This paper proposes an ethical emotion regulation framework for agentic AI learning design inspired by...

LLM Evaluation

Simulating Validity: Modal Decoupling in MLLM Generated Feedback on Science Drawings

arXiv:2604.26957v1 Announce Type: new Abstract: In science education, students frequently construct hand-drawn visual models of scientific phenomena. These drawings rely on a visual structure where information is encoded through visual objects, their attributes, and relationships. Multimodal large language models (MLLMs) are increasingly used to generate feedback on students' hand-drawn scientific models. However, the validity of such feedback depends on whether model claims are grounded in ...

AI Psychosis

Can AI be a moral victim? The role of moral patiency and ownership perceptions in ethical judgments of using AI-generated content

arXiv:2604.26956v1 Announce Type: new Abstract: The growing use of generative AI raises ethical concerns about authorship and plagiarism. This study examines how people judge the reuse of AI-generated content, focusing on moral patiency and ownership perceptions. In an experiment, participants evaluated two substantively similar manuscripts in which the original source was described as authored by a human, an AI system, or an AI agent with a human-like name. Results showed that copying AI-ge...

LLM Evaluation

Policy-Governed LLM Routing with Intent Matching for Instrument Laboratories

arXiv:2604.26955v1 Announce Type: new Abstract: AI tutoring systems in engineering labs face a tension between providing sufficient assistance and preserving learning opportunities. Existing systems typically offer instructors limited control over assistance timing, content, or cost. This paper describes a routing and governance system for LLM-based lab assistance comprising two components: Routiium, an OpenAI-compatible gateway that manages multiple LLM backends with configurable prompt mod...

LLM Evaluation

The Impact of LLM Self-Consistency and Reasoning Effort on Automated Scoring Accuracy and Cost

arXiv:2604.26954v1 Announce Type: new Abstract: Strategic model selection and reasoning settings are more effective than ensembling for optimizing automated scoring with large language models (LLMs). We examined self-consistency (intra-model majority voting) and reasoning effort for scoring conversation-based assessment items in high school mathematics, evaluating 900 student conversations against human-scored ground truths using frontier and low-cost models from OpenAI and Google. Temperatu...

LLM Evaluation

A Randomized Controlled Trial and Pilot of Scout: an LLM-Based EHR Search and Synthesis Platform

arXiv:2604.26953v1 Announce Type: new Abstract: Clinical documentation and data retrieval within Electronic Health Records (EHRs) contribute substantially to clinician workload and burnout. To address this, we developed Scout, an LLM-based EHR search and synthesis platform that enables clinicians to query EHR data using natural language. Each response includes citations linking each claim to the original data source, facilitating easy verification of generated content. We conducted a prospec...

PostgreSQL

Henrietta Dombrovskaya: PG DATA 2026. The talks I am most excited about. Part 2

Continuing my review of the upcoming program for PG DATA 2026, started here. I will start with Umair’s talk, Securing Multi‑Tenant Databases with Row‑Level Security & Open‑Source Auditing. I always await Umair’s talks with great anticipation because his vision of Postgres is closely aligned with mine, and the topics he discusses are usually the ones I am most interested in. This talk interests me a lot, because the topic of multi-tenancy is the one of my favorite, but Umair’s a...

Connection Pooling

Christophe Pettus: All Your GUCs in a Row: authentication_timeout

A connection is not free just because it has not logged in yet. From the moment the TCP handshake completes, the would-be client is holding a backend slot counted against max_connections, and it will hold that slot until one of two things happens: it finishes the authentication protocol, or authe…

Time-Series Databases

Christophe Pettus: On pgvectorscale, and Hybrid Search Without an Elasticsearch Sidecar

pgvector is excellent. It is also, at large scale, expensive — because the HNSW index it gives you wants to live in memory to be fast, and “wants to live in memory” stops being a casual statement somewhere around fifty million 1536-dimensional embeddings. At which point you reach for …

PostgreSQL

Paolo Melchiorre: Posette 2026

An Event for Postgres (pronounced /Pō-zet/, and formerly called Citus Con) is a free and virtual developer event. The name POSETTE stands for Postgres Open Source Ecosystem Talks Training & Education.

Vector Databases

Vibhor Kumar: The Calm Platform Test: Is Your PostgreSQL Strategy Enterprise-Ready?

Features create capability. Calm operations create trust. Most platform failures do not begin because one feature is missing. They usually begin when teams become afraid to change the systems that run the business. They become cautious about upgrades, nervous about failover, uncertain about performance changes, and hesitant to touch architecture that has become too important to disturb and too fragile to evolve. Over time, the platform may still function, but it no longer feels safe...

PostgreSQL

Pavlo Golub: SCALE 23x Vlog: PostgreSQL in Southern California

I flew 12 hours to Pasadena, survived the sunshine, and came back with a vlog (or pavlog? 🙂) Worth it? Absolutely. SCALE 23x is one of those events where the hallway conversations are as valuable as the talks. I grabbed my camera and tried to capture some of that energy. Featuring Bruce Momjian, Elizabeth Christensen, Mark Wong, and Gabrielle Roth — people who have been building this community for years. This is Episode 1 of my conference vlog series. Go watch it. 👇   More e...