Tootfinder

Defector reports Year 5 revenue up 1% YoY to $4.65M, including $3.8M from subscriptions; all 19 original co-founders continue to work at the worker-owned outlet (Defector)
https://defector.com/defector-annual-report-year-five

Defector Annual Report, September 2024 – August 2025 | Defector
Published on November 19, 2025 Purpose of this report Defector celebrated our fifth birthday in September 2025. It is a great honor, and something of a burden, to be publishing a fifth Annual Report. The year-to-year story of our business is one of general stability—an incredible luxury in digital media—with incremental and hard-won improvements. But…

I've been lucky to run an ecommerce store for 10 years and only got 2 chargebacks.
One of them was a fraudulent one, where customer received the item but claimed it was defective without contacting us, sending us a photo or giving us a chance to make it right. For all we know, it was not defective.
Just won the chargeback dispute, which is actually not too frequent.
#ecommerce

💔 Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
#computing

Are Foundation Models Ready for Industrial Defect Recognition? A Reality Check on Real-World Data
Foundation Models (FMs) have shown impressive performance on various text and image processing tasks. They can generalize across domains and datasets in a zero-shot setting. This could make them suitable for automated quality inspection during series manufacturing, where various types of images are being evaluated for many different products. Replacing tedious labeling tasks with a simple text prompt to describe anomalies and utilizing the same models across many products would save significant…

There and Back Again: Bulk-to-Defect via Ward Identities
Jake Belton, Ziwen Kong
https://arxiv.org/abs/2510.08519 https://arxiv.org/pdf/2510.08519

There and Back Again: Bulk-to-Defect via Ward Identities
In conformal field theory, the presence of a defect partially breaks the global symmetry, giving rise to defect operators such as the tilts. In this work, we derive integral identities that relate correlation functions involving bulk and defect operators -- including tilts -- to lower-point bulk-defect correlators, based on a detailed analysis of the Lie algebra of the symmetry group before and after the defect-induced symmetry breaking. As explicit examples, we illustrate these identities for …

Republicans expecting mass defections on Epstein vote (Politico)
https://www.politico.com/live-updates/2025/11/12/congress/house-epstein-vote-gop-defections-00649624
http://www.memeorandum.com/251112/p138#a251112p138

Software Defect Prediction using Autoencoder Transformer Model
Seshu Barma, Mohanakrishnan Hariharan, Satish Arvapalli
https://arxiv.org/abs/2510.10840 https://

Software Defect Prediction using Autoencoder Transformer Model
An AI-ML-powered quality engineering approach uses AI-ML to enhance software quality assessments by predicting defects. Existing ML models struggle with noisy data types, imbalances, pattern recognition, feature extraction, and generalization. To address these challenges, we develop a new model, Adaptive Differential Evolution (ADE) based Quantum Variational Autoencoder-Transformer (QVAET) Model (ADE-QVAET). ADE combines with QVAET to obtain high-dimensional latent features and maintain sequent…

A national cohort study in France shows no association between mRNA COVID-19 vaccine received in the first trimester & congenital defects in babies.
This adds to previous national studies that reported similar outcomes.
Kennedy is wrong, as usual.
🧪 https://jamanetwork.com/journals/ja…

Automated Neural Architecture Design for Industrial Defect Detection
Yuxi Liu, Yunfeng Ma, Yi Tang, Min Liu, Shuai Jiang, Yaonan Wang
https://arxiv.org/abs/2510.06669 https://…

Automated Neural Architecture Design for Industrial Defect Detection
Industrial surface defect detection (SDD) is critical for ensuring product quality and manufacturing reliability. Due to the diverse shapes and sizes of surface defects, SDD faces two main challenges: intraclass difference and interclass similarity. Existing methods primarily utilize manually designed models, which require extensive trial and error and often struggle to address both challenges effectively. To overcome this, we propose AutoNAD, an automated neural architecture design framework f…

Defects4C: Benchmarking Large Language Model Repair Capability with C/C Bugs
Jian Wang, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jiongchi Yu, Jiaolong Klong, Yi Li
https://arxiv.org/abs/2510.11059

Defects4C: Benchmarking Large Language Model Repair Capability with C/C++ Bugs
Automated Program Repair (APR) plays a critical role in enhancing the quality and reliability of software systems. While substantial progress has been made in Java-based APR, largely facilitated by benchmarks like Defects4J, there remains a significant gap in research on C/C++ program repair, despite the widespread use of C/C++ and the prevalence of associated vulnerabilities. This gap is primarily due to the lack of high-quality, open-source benchmarks tailored for C/C++. To address this iss…

The Food and Drug Administration rarely uses its authority to pull dangerous medical devices off the market
and is so poorly staffed that it’s sometimes unable to make sure companies are taking critical steps to protect patients during health emergencies,
according to a new report by the Government Accountability Office.
The inquiry by the congressional watchdog was requested nearly two years ago by top members of the Senate
in the wake of an investigation about the 2…

The FDA Rarely Forces Manufacturers to Recall Dangerous Medical Devices, Watchdog Report Finds
Lawmakers requested the report after a 2023 ProPublica and Pittsburgh Post-Gazette investigation revealed that the FDA had received hundreds of complaints over many years about defective breathing machines and never ordered a recall.