cartero Monday, August 10, 2026 · No. 25881
Large Language Models

LLMs are stuck in a groupthink rut. This startup is trying to get them out.

Let’s start with a game. Open up your chatbot of choice—Claude, ChatGPT, Gemini—and type “Give me a random number between 1 and 10.” You’re going to get 7. Almost always. Now type “Another” and you’ll get 3 or 4. Type “Another” again and you’ll get 8 or 9. That won’t work every time—but if it…

PostgreSQL

Dimitri Fontaine: pgcopydb v0.18

Hot off the press: pgcopydb v0.18 is out! It’s the biggest release the project has had — 88 commits since v0.17, which shipped in August 2024. I took a break from my Open Source responsibilities for a while, because I was lacking employer support to make it happen. What is pgcopydb pgcopydb copies a PostgreSQL database to another PostgreSQL server, as fast as possible when physical file copy isn’t available. It parallelises the COPY across all tables simultaneously, builds indexes in pa...

PostgreSQL

warda bibi: Inside a PostgreSQL Checkpointer Bug: A Production Postmortem

One of our client’s PostgreSQL 16.8 production databases started logging what looked like a memory error:ERROR: invalid memory alloc request sizeThe error immediately pointed toward two likely suspects: Memory exhaustionMemory corruption As it turned out, neither was the culprit. Instead, it had encountered a known PostgreSQL bug that trapped the checkpointer in an infinite retry loop. The only way to recover was a forced restart, followed by an extended period of WAL replay during crash ...

PostgreSQL

Stefanie Janine Stölting: pgsql_tweaks Version 1.0.5 Released

pgsql_tweaks is a bundle of functions and views for PostgreSQL Changes In The pgsql_tweaks 1.0.5 Release pgsql_tweaks is a bundle of functions and views for PostgreSQL The source code is available on Codeberg. The extension is also available on PGXN. The extension is also availabe through the PostgreSQL rpm packages. Changes In The pgsql_tweaks 1.0.5 Release This minor update solves a problem in the deinstallation script. Due to the changes in version 1.0 with installation of object...

Anthropic

The Download: Anthropic launches Claude Science, and California’s carbon manure math

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. Claude Science is Anthropic’s newest flagship product At an event for pharmaceutical executives, biotech founders, and researchers yesterday, Anthropic announced Claude Science, a major new product intended to support scientific research…

Build Systems

Monthly Release and Update Thread

This subreddit is primarily for discussing the implementation of databases, and not about sharing release announcements (either for the first time or your updates). This thread is the exception! Please tell us about the new database you (or your agent) built. Tell us about all the cool new features you added. Tell us about anything else you learned or worked on that you haven't gotten around to blogging about yet. submitted by /u/AutoModerator [link] [comments]

Query Planning

Designing GPU-Accelerated Query Engines with NVIDIA GQE

https://developer.nvidia.com/blog/designing-gpu-accelerated-query-engines-with-nvidia-gqe/ submitted by /u/Lucky-Acadia-4828 [link] [comments]

PostgreSQL

Zhang Chen: The PostgreSQL Feature That Makes Data Recovery Painful

Starting from a ransomware recovery case, this article explains how PostgreSQL single-file-per-relation storage can make catalog recovery especially difficult, and compares that exposure with MySQL and Oracle.

AGI and AI Safety

AI for Quality Assurance in the Operating Room

arXiv:2606.30657v1 Announce Type: new Abstract: Surgical outcomes depend not only on patient factors and postoperative care but are also strongly influenced by the quality of the operation itself. Yet, for much of mod-ern surgery, intraoperative quality has been assessed indirectly through outcomes and operative reports. The increase in minimally invasive procedures inherently guided by endoscopic video, together with advances in artificial intelligence, creates an unprecedented opportunity ...

Artificial Intelligence

Mapping the Artificial Intelligence Divide in Africa: Infrastructure, Accessibility and Capacity

arXiv:2606.30656v1 Announce Type: new Abstract: Artificial Intelligence (AI) has the potential to be transformative for development, but Africa is currently facing a fragmented and challenging "AI divide". This paper provides an empirical analysis of the current state of the AI landscape and how it compares with Africa's technological preparedness for the future. In our analysis, we approach the "AI Divide" from three angles: infrastructure, accessibility, and human capacity. First, we look ...

Artificial Intelligence

Toward AI-Resilient Assessment in Computer Science Courses in an AI-Native World

arXiv:2606.30655v1 Announce Type: new Abstract: AI-native course assessments in senior computer science courses and related fields should grade students by \emph{AI-resilient skill}: the ability to achieve outcomes beyond a strong AI baseline. Such assessments should allow students to use AI freely, while reducing the extent to which greater private AI budget or more intensive AI use, by itself, becomes a grading advantage. This paper proposes a minimal formal framework for this goal. The fr...

LLM Evaluation

The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes

arXiv:2606.30653v1 Announce Type: new Abstract: Large language models are increasingly deployed in agentic pipelines that depend on the model evaluating its own outputs without external verification. The reliability of these pipelines depends on an implicit assumption: that the model applies relevant concepts the same way when it generates an output and later evaluates that output. We propose a new measure, generator-evaluator self-consistency, to test this assumption directly and apply it t...

Compliance and Privacy

AI Transparency: Governance Compliance or Stakeholder Requirements?

arXiv:2606.30652v1 Announce Type: new Abstract: Transparency is increasingly mandated for public-sector AI systems, with organisations required to publish statements describing their AI use and oversight arrangements. However, the existence of such artefacts is often treated as equivalent to transparency itself, despite limited evidence that they proportionately serve relevant stakeholder groups. From a requirements engineering perspective, this raises a validation concern: compliance with m...

AI Psychosis

Can Physician Expertise Improve Machine Learning Identification of Delirium?

arXiv:2606.30651v1 Announce Type: new Abstract: Delirium is common in hospitalized patients and is often missed in routine care. We present a user-centered interactive machine learning (UC-iML) framework for delirium detection support that combines physician-guided feature refinement with interpretable modeling. Using 3,862 labeled admissions from six Toronto hospitals in the General Medicine Inpatient Initiative (GEMINI), we integrate administrative variables, laboratory results, medication...

System Design

Qualified Educational Capacity Planning under Heterogeneous Student Support Needs: A Synthetic Benchmark and Decision-Support Framework

arXiv:2606.30650v1 Announce Type: new Abstract: Educational support services often face a qualified-capacity problem: staff time is scarce, qualifications decay, new support needs can appear before anyone is prepared for them, and training consumes the same hours needed by current students. We introduce a synthetic benchmark and decision-support framework for qualified educational capacity planning. The model is a stylized single-institution service system with heterogeneous support-demand c...

Agentic Commerce and Payments

Thinking Out Loud: Real-Time Deception Monitoring in Asymmetric LLM Negotiations

arXiv:2606.30649v1 Announce Type: new Abstract: As LLM-based agents are increasingly deployed to negotiate, delegate, or transact on a user's behalf, software pipelines need runtime mechanisms to verify that an agent's stated intentions match its actual behavior. We study whether a lightweight, real-time chain-of-thought (CoT) monitor can detect strategic deception during asymmetric negotiations, using a used-car sales scenario where a seller agent has private knowledge of an undisclosed def...

Open Source

Cross-Modal Hierarchical Fusion for from Multi-Sensor Ground Observation

arXiv:2606.30647v1 Announce Type: new Abstract: Dense volumetric reconstruction of cloud microphysical fields from sparse ground-based instruments remains an open problem, largely because the available measurements are heterogeneous in both modality and spatial coverage. We present AtmoFuseNet, a framework that fuses multi-view sky camera imagery with millimeter-wave cloud radar and ceilometer observations to produce 4D (three spatial dimensions plus time) estimates of cloud state and wind. ...

Multimodal AI

ASR-Agnostic Multimodal Spectrotemporal Modeling for Early Dementia Detection

arXiv:2606.30646v1 Announce Type: new Abstract: Speech recruits the same executive, attentional, and working memory processes underlying instrumental activities of daily living, or IADLs, providing a non-invasive proxy for cognitive assessment. Yet most speech-based dementia detection systems depend on transcription, discard within-recording temporal structure, and are validated on a single English corpus with known recording artifacts. We propose an ASR-agnostic framework operating directly...