cartero Saturday, August 15, 2026 · No. 26077
Artificial Intelligence

How Agentforce Lead Nurturing Agents Generated $100M+ Pipeline Under Rate-Limited Infrastructure

In our Engineering Energizers Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we spotlight Rajas Mhatre, Senior Director of Software Engineering at Salesforce, who leads the development of autonomous engagement agents that transform sales operations by generating over $100 million in pipeline, creating more than 10,000 opportunities, and contributing to 1,500 […] The post How Agentforce Lead Nurturing Agents Generated $100M+ Pipeline Under Rate-Li...

CI/CD

Orchestrating AI Code Review at scale

Learn about how we built a CI-native AI code reviewer using OpenCode that helps our engineers ship better, safer code.

Cloudflare

The AI engineering stack we built internally — on the platform we ship

We built our internal AI engineering stack on the same products we ship. That means 20 million requests routed through AI Gateway, 241 billion tokens processed, and inference running on Workers AI, serving more than 3,683 internal users. Here's how we did it.

Space Tech

The Download: murderous ‘mirror’ bacteria, and Chinese workers fighting AI doubles

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. No one’s sure if synthetic mirror life will kill us all In February 2019, a group of scientists proposed a high-risk, cutting-edge, irresistibly exciting idea that the National Science Foundation should…

AI Coding Tools

Chinese tech workers are starting to train their AI doubles–and pushing back

Tech workers in China are being instructed by their bosses to train AI agents to replace them—and it’s prompting a wave of soul-searching among otherwise enthusiastic early adopters.  Earlier this month a GitHub project called Colleague Skill, which claimed workers could use it to “distill” their colleagues’ skills and personality traits and replicate them with…

PostgreSQL

Chao Li: Understanding PostgreSQL REPACK Through repack.c

REPACK is a new PostgreSQL 19 feature for physically compacting a table by rewriting it into new storage. Like VACUUM, it deals with the space left behind by dead tuples, but it does so by building a fresh table file instead of mostly cleaning pages in place. Ordinary VACUUM can mark space reusableinside the table and may truncate some empty pages at the end, but it usually cannot fully return bloat to the operating system. REPACK, like VACUUM FULL, rewrites the table into a compact file and ...

PostgreSQL

Cornelia Biacsics: Contributions for week 15, 2026

The London PostgreSQL Meetup Group met on April 14, 2026 organized by: Valeria K. (Data Egret) Chris Ellis Alastair Turner Michael Christofides Monica Sarbu spoke at the The San Francisco Bay Area PostgreSQL Meetup Group met virtually on April 14, 2026 organized by Katharine Saar Stacey Haysler Christophe Pettus On April 15, the Postgres Meetup for All met virtually, organized by Elizabeth Christensen on April 15, 2026. Speaker: Arun Kumar Samayam Phani Kadambari Y V Ravi Kumar The Ba...

AI Psychosis

A Systematic Review of User Experiments Measuring the Effects of Dark Patterns

arXiv:2604.15323v1 Announce Type: new Abstract: Deceptive/Manipulative Patterns (DMP) are interface designs, also known as ``dark patterns,'' that manipulate user behavior. While considerable attention has been paid to their ethical and legal implications, empirical evidence about their real-world effects remains diffuse. This review synthesizes up-to-date experimental studies, focusing on works that quantify how (or whether) DMPs influence users. We also aggregate findings on interventions ...

AI Psychosis

Acoustic and Facial Markers of Perceived Conversational Success in Spontaneous Speech

arXiv:2604.15322v1 Announce Type: new Abstract: Individuals often align their speaking patterns with their interlocutors, a phenomenon linked to engagement and rapport. While well documented in task-oriented dialogues, less is known about entrainment in naturalistic, non-task and virtual settings. In this study, we analyze a large corpus of spontaneous dyadic Zoom conversations to examine how conversational dynamics relate to perceived interaction quality. We extract multimodal features enco...

AI Psychosis

Beyond Content Exposure: Systemic Factors Driving Moderators' Mental Health Crisis in Africa

arXiv:2604.15321v1 Announce Type: new Abstract: Content moderators review disturbing content to protect social media users, often at significant cost to their mental health. Recent reports document the mental health conditions of African moderators as notably problematic. Beyond the content itself, what factors contribute to the deteriorating mental health of these workers? We surveyed 134 moderators across Africa to understand their mental health and interviewed 15 moderators to contextuali...

Business Intelligence

Towards Measuring Interactive Visualization Abilities: Connecting With Existing Literacies and Assessments

arXiv:2604.15320v1 Announce Type: new Abstract: How do we assess people's abilities to interact with data visualizations? The current state-of-the-art visualization literacy tests -- such as VLAT and its derivatives -- only involve the use of static visualizations. Despite advances in investigating multiple visualization abilities, we do not yet have formal methods to assess the ability of a person to interact with a data visualization effectively. In this position paper, we discuss related ...

Artificial Intelligence

Explainable Iterative Data Visualisation Refinement via an LLM Agent

arXiv:2604.15319v1 Announce Type: new Abstract: Exploratory analysis of high-dimensional data relies on embedding the data into a low-dimensional space (typically 2D or 3D), based on which visualization plot is produced to uncover meaningful structures and to communicate geometric and distributional data characteristics. However, finding a suitable algorithm configuration, particularly hyperparameter setting, to produce a visualization plot that faithfully represents the underlying reality a...

AI Psychosis

Mapping Ecological Empathy: A Semantic Network Analysis of Player Perceptions in 3D Environmental Education Games

arXiv:2604.15317v1 Announce Type: new Abstract: As the global climate crisis intensifies, 3D video games have emerged as powerful, interactive simulations for Environmental Education (EE). However, empirical assessment of their pedagogical efficacy remains epistemologically challenged. Traditional evaluation metrics, such as pre-post surveys, often suffer from response bias and fail to capture the nuanced, emergent psychological shifts players experience during gameplay. This paper proposes ...

AI Psychosis

Anthropomorphism and Trust in Human-Large Language Model interactions

arXiv:2604.15316v1 Announce Type: new Abstract: With large language models (LLMs) becoming increasingly prevalent in daily life, so too has the tendency to attribute to them human-like minds and emotions, or anthropomorphize them. Here, we investigate dimensions people use to anthropomorphize and attribute trust toward LLMs across more than 2,000 human-LLM interactions. Participants (N=115) engaged with LLM chatbots systematically varied in warmth (friendliness), competence (capability, cohe...

Artificial Intelligence

Modeling of ASD/TD Children's Behaviors in Interaction with a Virtual Social Robot During a Music Education Program Using Deep Neural Networks

arXiv:2604.15314v1 Announce Type: new Abstract: This research aimed to develop an intelligent system to evaluate performance and extract behavioral models for children with ASD and neurotypical (TD) children by interacting with a virtual social robot in a music education program using deep neural networks. The system has two main features: 1) it distinguishes between neurotypical children and those with ASD based on their behavior, and 2) generates behaviors resembling those of neurotypical ...