Managers and Executives Disagree on AI—and It’s Costing Companies
Five concrete actions to bridge the divide.
Five concrete actions to bridge the divide.
Introduction: The Cage We Built and Called Progress Humanity has achieved something historically unprecedented: it has constructed the most sophisticated cage ever devised, decorated it with infinite scrolling and dopamine-triggering notifications, and voluntarily imprisoned itself within it — celebrating every new feature as liberation while surrendering the last remnants of digital sovereignty with every click. The internet — that magnificent, anarchic, boundless frontier of human imagination — has been systematically dismembered, consolidated, and weaponized by a handful of […]
A new paper by Avihu Mordechai Levy (StarkWare) describes Quantum-Safe Bitcoin (QSB), a way to spend legacy Bitcoin outputs that would stay secure even if an attacker had a cryptographically relevant quantum computer. It works inside today’s Bitcoin Script with no soft fork. Under the paper’s Shor-only threat model, its recommended configuration (Config A) achieves roughly 2^118 second-preimage resistance while fitting inside Bitcoin’s existing legacy script limits of 201 opcodes and under 10,000 bytes (§4.5, §2.2). The spender […]
In 2026, you don’t need a developer, a designer, or a $50K budget to build a professional web application. You just need to describe what you want. The idea of building a website without writing a single line of code is not new. Platforms like Wix, Squarespace, and WordPress have offered drag-and-drop builders for over a decade. But there has always been a ceiling. You could build a marketing site, maybe a simple blog, but the moment you […]
Calculating finite sums and products of trigonometric functions is an important and fascinating problem, a straightforward method is using infinite series or infinite product. In this paper, we calculate four finite sums and a finite product of trigonometric functions using this method, which contributes to a deeper understanding of this problem.
Let’s be honest, at some stage of the review process. A lot of us have gotten bored and tried to Google the papers we are reviewing. And sometimes those papers might have already been uploaded onto arXiv with the identity of the authors. Which we then tried to look them up. As a first-time reviewer, I noticed the top 2 papers in my batch happened to be the only papers in my batch that is on arXiv. I […]
Large language models (LLMs) are increasingly accessed as remotely hosted services by edge and enterprise clients that cannot run frontier models locally. Since models vary widely in capability and price, routing queries to models that balance quality and inference cost is essential. Existing router approaches assume access to centralized query-model evaluation data. However, these data are often fragmented across clients, such as end users and organizations, and are privacy-sensitive, which makes centralizing data infeasible. Additionally, per-client router training […]
Reinforcement learning (RL) has attracted increasing interest for adaptive traffic signal control due to its model-free ability to learn control policies directly from interaction with the traffic environment. However, several challenges remain before RL-based signal control can be considered ready for field deployment. Many existing studies rely on simplified signal timing structures, robustness of trained models under varying traffic demand conditions remains insufficiently evaluated, and runtime efficiency continues to pose challenges when training RL algorithms in traffic microscopic […]
arXiv:2601.22331v1 Announce Type: new Abstract: Cell Painting is a microscopy-based, high-content imaging assay that produces rich morphological profiles of cells and can support drug discovery by quantifying cellular responses to chemical perturbations. At scale, however, Cell Painting data is strongly affected by batch effects arising from differences in laboratories, instruments, and protocols, which can obscure biological signal. We present BALANS (Batch Alignment via Local Affinities and Subsampling), a scalable batch-correction method that aligns samples across batches by constructing […]
arXiv:2601.22182v1 Announce Type: new Abstract: Webshells remain a primary foothold for attackers to compromise servers, particularly within PHP ecosystems. However, existing detection mechanisms often struggle to keep pace with rapid variant evolution and sophisticated obfuscation techniques that camouflage malicious intent. Furthermore, many current defenses suffer from high false-alarm rates when encountering benign administrative scripts that employ heavy obfuscation for intellectual property protection. To address these challenges, we present ShellForge, an adversarial co-evolution framework that couples automated webshell generation […]