Scientists have potentially discovered a triplet superconductor in the alloy NbRe, which could enable ultra-fast quantum computers with minimal energy loss, marking a significant advancement in quantum technology.
Hardening Firefox with Anthropic's Red Team
AI models, like Claude Opus 4.6, have identified 22 vulnerabilities in Firefox, with 14 classified as high-severity, showcasing AI's potential to enhance software security rapidly. This collaboration with Mozilla highlights the effectiveness of AI in detecting vulnerabilities that could otherwise remain undetected for longer periods.
A GitHub Issue Title Compromised 4k Developer Machines
Clinejection exploited a prompt injection in a GitHub issue title, leading to the silent installation of OpenClaw on 4,000 developer machines through a compromised npm package.
D - A mathematical proof from an anonymous Korean forum
The d² Pullback Theorem posits that the essence of Attention is a d²-dimensional problem, challenging the prevailing belief that it is n²-dimensional, revealing a fundamental misunderstanding of its intrinsic geometry.
AI and the Ship of Theseus
AI's ability to re-implement code is transforming software development, as demonstrated by an AI porting a library to a new language with a different design while maintaining similar functionality, highlighting the evolving landscape of coding practices.
A tool that removes censorship from open-weight LLMs
OBLITERATUS is an advanced open-source toolkit designed to understand and eliminate refusal behaviors in large language models through a process called abliteration, which surgically removes internal representations without retraining.
GLiNER2: Unified Schema-Based Information Extraction
GLiNER2 integrates Named Entity Recognition, Text Classification, Structured Data Extraction, and Relation Extraction into a single 205M parameter model, enabling efficient processing without external dependencies.
P - Bypassing CoreML to natively train a 110M Transformer on the Apple Neural Engine (Orion)
ORION is the first open-source system enabling native training of a 110M Transformer on the Apple Neural Engine (ANE), overcoming limitations imposed by CoreML's opaque abstractions and lack of on-device training support.
Show HN: A trainable, modular electronic nose for industrial use
Sniphi is pioneering digital scent recognition technology, enabling machines to analyze and identify scents through a modular Digital Nose platform that utilizes AI and IoT sensors for real-time data processing.
P - On-device speech toolkit for Apple Silicon
The open-source Swift package enables 11 speech models to run on Apple Silicon, utilizing MLX for GPU and CoreML for the Neural Engine, ensuring fully local inference without cloud reliance.
Show HN: Kanon 2 Enricher – the first hierarchical graphitization model
Kanon 2 Enricher is the first hierarchical graphitization model, enabling the transformation of unstructured documents into structured knowledge graphs with sub-second latency, enhancing efficiency in legal and financial applications.
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
Timer-S1 is a Mixture-of-Experts (MoE) model with 8.3B parameters designed for time series forecasting, utilizing Serial Scaling to enhance scalability and performance across architecture, dataset, and training pipeline.
D - Impact of EU AI Act on your work?
The EU AI Act imposes stringent compliance standards on high-risk models, such as those used in credit scoring and insurance pricing, significantly affecting how data science practitioners develop and maintain these systems.
Mixture of Universal Experts: Scaling Virtual Width via Depth-Width Transformation
Mixture of Universal Experts (MOUE) introduces a novel scaling dimension, Virtual Width, allowing for enhanced model capacity without increasing per-token computation, thus addressing scalability limitations of traditional Mixture-of-Experts (MoE) models.