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The article discusses Epic Games' victory in an appeals court case against Apple over in-app payments on iOS. The ruling allows developers to direct users to alternative payment methods outside of Apple's ecosystem, potentially reducing the company's commission on transactions.

The article discusses the ongoing effort to rewrite the Tor anonymity network in the Rust programming language, aiming to improve performance and security. It outlines the progress made and the potential benefits of the Rust-based Tor implementation.

Developers at id Software, the studio behind Doom, have voted to form a union with 165 workers, becoming the latest video game company to unionize. The union, named Wall to Wall, is the result of collective bargaining efforts to improve working conditions and support employees.

macOS 26.2 introduces support for RDMA over Thunderbolt, enabling high-speed data transfer between compatible devices connected via Thunderbolt. This feature aims to improve performance for data-intensive applications and workflows.

Google has released the new Google Sans Flex font, which is a variable font version of its popular Google Sans typeface. The article discusses the technical details and benefits of the new font, including its ability to adapt to different screen sizes and devices.

A security researcher discovered that Home Depot exposed access to its internal systems for over a year, potentially allowing unauthorized access to sensitive data and systems. The incident highlights the ongoing need for organizations to prioritize cybersecurity and protect their networks from potential vulnerabilities.

Japan's central bank has raised its interest rate for the first time in seven years, citing high inflation and the need to address the rising cost of living. The decision is aimed at tackling the nation's highest inflation in four decades as the Bank of Japan adjusts its monetary policy.

The article discusses a new mathematical proof inspired by string theory, which has implications for the complexity of certain problems and the nature of computing. The proof, developed by computer scientist Greg Kuperberg, demonstrates a surprising connection between string theory and the long-standing P vs NP problem in computer science.

The article explores the history behind the garish red and yellow color scheme in Windows 3.1, which was long believed to be a joke, and interviews the original designer to uncover the true story behind this unconventional design choice.

The article explores how secondary school math can be used to demonstrate that AI systems do not think in the same way humans do. It highlights the limitations of current AI technologies and the importance of understanding their capabilities and shortcomings.

The European Economic and Social Committee (EESC) states that nuclear energy is a key part of the solution to decarbonizing Europe, as it provides reliable, affordable, and low-carbon electricity generation that can contribute to the EU's climate goals.

Amazon has unveiled a new Kindle feature that allows users to ask AI-powered questions about books and authors, providing instant answers and insights. This feature aims to enhance the reading experience by providing additional context and information to users.

Oracle has made a significant investment in OpenAI, a leading artificial intelligence research company. However, the article suggests that Oracle's bet on OpenAI has come at a high cost, as the technology company faces challenges in realizing the full potential of its investment.

The article examines U.S. Senator Ron Johnson's promotion of chlorine dioxide as a COVID-19 treatment, despite the lack of scientific evidence supporting its effectiveness and concerns about its safety. It explores Johnson's relationship with physician Pierre Kory, a proponent of the controversial treatment.

The article discusses the growing trend of American news networks embracing sports betting and gambling, as they seek to capitalize on the legalization and popularity of online sports betting across the country.

The article describes the UVM32, an open-source, 32-bit RISC-V processor designed for educational and research purposes. It provides a flexible and customizable hardware platform for exploring computer architecture and processor design.

The article discusses the challenges and privacy concerns associated with implementing online age verification systems, arguing that they are not as simple as showing a physical ID in person and highlighting the need for more privacy-preserving solutions.

This project reconstructs the Epstein email records from the recent U.S. House Oversight Committee releases using only public-domain documents (23,124 image files + 2,800 OCR text files).

Most email pages contain only one real message, buried under layers of repeated headers/footers. I wanted to rebuild the conversations without all the surrounding noise.

I used an OCR + vision-LLM pipeline to extract individual messages from the email screenshots, normalize senders/recipients, rebuild timestamps, detect duplicates, and map threads. The output is a structured SQLite database that runs client-side via SQL.js (WebAssembly).

The repository includes the full extraction pipeline, data cleaning scripts, schema, limitations, and implementation notes. The interface is a lightweight PWA that displays the reconstructed messages in a phone-style UI, with links back to every original source image for verification.

Live demo: https://epsteinsphone.org

All source data is from the official public releases; no leaks or private material.

Happy to answer questions about the pipeline, LLM extraction, threading logic, or the PWA implementation.

The article examines the trend of founder age, finding that the median age of founders has increased over the past decade, with successful founders often being in their late 30s or early 40s. It discusses factors such as increasing complexity of startups and the importance of industry experience for successful entrepreneurship.

The article discusses the potential for large language models like GPT-3 to develop new skills over time, as demonstrated by OpenAI's experiments. It explores the implications of these models' ability to learn and expand their capabilities without requiring additional training data or human intervention.