cartero Tuesday, August 11, 2026 · No. 25919
Privacy

The OPSEC Rave Wave (with Imani Thompson)

We get into how platforms have tried to make surveillance cute, why that damn Duolingo owl emotionally manipulates you, and why learning about privacy best practices when surrounded by community works.

Meta

The Download: cutting AC emissions, and nature’s drug designer

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. These new solid-state ACs promise a cool future. Scientists aren’t so sure. After three years of record-­breaking heat and another scorcher underway, air-conditioning isn’t going anywhere. That’s good for our health,…

PostgreSQL

Robins Tharakan: Why Postgres Doesn't Have remote_receive - And What Happened When I Tried It

In distributed database environments, balancing durability and performance is a constant tug-of-war. PostgreSQL’s synchronous_commit parameter sits at the heart of this, giving administrators a dial to choose exactly when a COMMIT returns success to the client. The idea of remote_receive was born from a simple question: does skipping the standby's disk write yield a measurable, real-world performance benefit? By waiting only for WAL bytes to reach the standby's memory, could we get a meanin...

Meta

Incentives Of EdTech: A Systematic Review Of EduNLP Research

arXiv:2606.13691v1 Announce Type: new Abstract: While the Natural Language Processing community has dedicated significant resources in developing educational technologies (EdTech) that support this shift, it remains unclear whose interests are being best served among the stakeholders of education. In this paper, we present a systematic literature review of 204 papers published in venues of the Association for Computational Linguistics' Special Interest Group on Building Educational Applica...

Formal Methods

Indirect Computing Model with Indirect Formal Method

arXiv:2606.13690v1 Announce Type: new Abstract: This paper,from the perspective of a collaborative intelligent computing system formed by combining human-computer interface and collaborative computing programs, discusses the principles of optimized cloud computing technology supported by the combination of an indirect computing model and an indirect formal method. On the basis of systematically reviewing the influence of previous theoretical achievements Turing's computability theory,Kleene'...

Open Source

Empirical Evidence on Genre-Time Correlation in Box-Office Success Using Exploratory Data Analysis and Machine Learning

arXiv:2606.13689v1 Announce Type: new Abstract: The movie industry is one of the fastest-growing global sectors, characterized by high production costs and significant financial risk. Given the capital-intensive nature of filmmaking, accurately predicting box office success is of critical importance for stakeholders ranging from producers to investors. This study investigates the correlation between movie genre and release timing as predictive factors for commercial success. A combined appro...

AI Psychosis

Picturing Perceptions: An Open-Source Toolkit to Uncover Bias in Humans and Machines

arXiv:2606.13688v1 Announce Type: new Abstract: Bias in human judgment and artificial intelligence systems poses critical challenges across consequential domains like hiring, loans, and criminal justice. However, traditional bias measurement tools face fundamental limitations: they struggle to capture intersectional identities, cannot evaluate AI systems, lack grounding in demographic reality, and remain vulnerable to social desirability effects. We introduce PictoPercept, an open-source too...

AI Psychosis

The Frustrometer: Detecting User Frustration in Data Visualization Tasks using Biomarkers and Interaction Patterns

arXiv:2606.13687v1 Announce Type: new Abstract: Visualization research has largely solved \textit{how} to help a stuck or frustrated user -- through interactive onboarding, contextual help, and active guidance. The unsolved problem is \textit{when}: trigger help too eagerly and you break the user's train of thought; wait too long and they have already gone astray. We present the \textsc{Frustrometer}, a series of experiments to predict user stuckness and frustration by fusing physiological a...

Web Application Security

Benchmarking Web Agent Safety under E-commerce Deceptive Interfaces

arXiv:2606.13686v1 Announce Type: new Abstract: As autonomous web agents are increasingly deployed to perform real-world tasks, ensuring their safety has become a critical concern. In this work, we study web agent behavior under realistic deceptive interfaces in the e-commerce domain. We introduce WebDecept, a lightweight and configurable plugin framework that enables controlled injection of deceptive interface patterns into existing web environments. Using WebDecept, we instantiate seven de...

LLM Evaluation

The Coin Flip Judge? Reliability and Bias in LLM-as-a-Judge Evaluation

arXiv:2606.13685v1 Announce Type: new Abstract: LLM-as-a-Judge is now widely used to rank model outputs, train reward models, and populate public leaderboards, but its run-to-run reliability remains under-characterized. We study repeated identical evaluations on 29 tasks spanning 10 categories using two OpenAI judge models (GPT-4o-mini and GPT-4.1-mini), with 50 pairwise trials and 50 pointwise trials per question, supplemented by temperature and prompt-sensitivity ablations. Across judges, ...

LLM Evaluation

Cross-Dataset Bloom Question Classification: Supervised Models and Prompted LLMs

arXiv:2606.13684v1 Announce Type: new Abstract: Automatic Bloom's taxonomy classification of assessment questions can substantially reduce instructor workload, but labeling is subjective and teacher-dependent. Prior machine learning (ML) and deep learning (DL) approaches reported strong within-dataset results, yet were rarely evaluated in cross-dataset settings, leaving real-world generalizability unclear; meanwhile, LLM effectiveness for Bloom question classification has not been systematic...

Artificial Intelligence

UP-NRPA: User Portrait based Nested Rollout Policy Adaptation for Planning with Large Language Models in Goal-oriented Dialogue Systems

arXiv:2606.13683v1 Announce Type: new Abstract: To address the challenge that current dialogue policy planning methods struggle to dynamically adapt to diverse user characteristics, this paper proposes a User Portrait based Nested Rollout Policy Adaptation (UP-NRPA) online framework with Large Language Models. In contrast to conventional approaches dependent on model training and require offline reinforcement learning policy models for user groups, UP-NRPA enables dynamic customization of di...

Artificial Intelligence

A Deep Reinforcement Learning (DRL)-Based Transformer Method for Solving the Open Shop Scheduling Problem

arXiv:2606.13682v1 Announce Type: new Abstract: The open shop scheduling problem (OSSP) arises in many industrial and service settings but remains computationally challenging as the number of jobs and machines increases. While exact methods quickly become intractable, classical dispatching rules and metaheuristics may require substantial tuning to maintain solution quality at large scales. This study develops a Transformer-based scheduling policy for OSSP using an encoder-decoder architectur...

Query Planning

Radim Marek: The NULL in your NOT IN

A NOT IN query can return the wrong answer without telling you. It is valid SQL, it runs without an error, and it hands back a perfectly well-formed result set that happens to be empty when it should not be. No warning, no hint, nothing in the logs: just zero rows where you expected hundreds, and a database that considers it correct. Almost always the cause is a single NULL sitting somewhere you forgot to look, combined with two keywords you have typed a thousand times: NOT IN. None of it is ...

Networking Protocols

Chaosnet