# Nov 8, 2025

- **Reverse Engineering a Neural Network's Clever Solution to Binary Addition (2023)**  
   - The neural network effectively learned binary addition by utilizing a unique architecture that mimics a digital-to-analog converter, allowing it to sum inputs and convert them to analog signals.

- **Study identifies weaknesses in how AI systems are evaluated**  
   - A recent study reveals **significant weaknesses** in the evaluation methods of AI systems, highlighting the need for more robust and standardized assessment frameworks.

- **PyTorch Helion**  
   - **Helion** is a high-level **Python-embedded DSL** that compiles to optimized Triton code, enabling developers to create performant ML kernels without deep hardware knowledge, thus reducing technical debt and enhancing productivity.

- **Oddest ChatGPT leaks yet: Cringey chat logs found in Google Analytics tool**  
   - **Sensitive ChatGPT conversations** have been inadvertently leaking into Google Search Console, revealing user prompts that were expected to remain private, raising significant privacy concerns about OpenAI's data handling practices.

- **Analysis of Hedy Lamarr's Contribution to Spread-Spectrum Communication**  
   - **Researchers.One** is a platform that facilitates article submissions for a fee of **$10**, enhancing accessibility for authors and readers alike.

- **[R] WavJEPA: Semantic learning unlocks robust audio foundation models for raw waveforms**  
   - **WavJEPA** is a novel audio foundation model that operates on **raw waveforms**, achieving superior performance in audio representation tasks with significantly less compute and training data compared to models like Wav2Vec2.0 and HuBERT.

- **Humans have remote touch 'seventh sense' like sandpipers**  
   - **Humans possess a form of remote touch**, akin to that of sandpipers, enabling them to detect buried objects through subtle mechanical cues in granular materials, despite lacking specialized anatomical features.

- **[R] GRAM: General-purpose Real-world Audio Model to efficiently learn spatial audio representations.**  
   - **GRAM** introduces a **General-purpose Real-world Audio Model** that effectively addresses the **performance drop** in audio foundation models when faced with **real-world acoustic environments** characterized by reverberation and noise.

- **AI benchmarks are a bad joke – and LLM makers are the ones laughing**  
   - A **study** from the Oxford Internet Institute reveals that only **16%** of **445 LLM benchmarks** for AI use rigorous scientific methods, raising concerns about the validity of performance claims.

- **Understanding prompt injections: a frontier security challenge**

- **Notion’s rebuild for agentic AI: How GPT‑5 helped unlock autonomous workflows**