# Jul 29, 2025

## I designed my own fast game streaming video codec – PyroWave
- **PyroWave** is a custom video codec designed for **ultra-low latency** game streaming, achieving encoding times as low as **0.13 ms** on a RX 9070 XT, significantly outperforming traditional codecs like H.264 and HEVC.

## My 2.5 year old laptop can write Space Invaders in JavaScript now (GLM-4.5 Air)
- **A 2.5-year-old laptop** can now run the **GLM-4.5 Air** model, which boasts **106 billion parameters**, enabling it to generate functional code like a Space Invaders game in JavaScript with no edits required.

## Built RL for long-horizon agents – tested on 32x H100s but too poor to train
- **Terminal-Bench-RL** achieves a significant milestone by developing a stable RL training infrastructure that utilizes **32x H100 GPUs** across **4 nodes**, enabling the training of long-horizon terminal-based coding agents, specifically the **Qwen3-32B**, which ranks as the highest scoring Qwen3 agent on the [terminal-bench](https://github.com/laude-institute/terminal-bench) leaderboard without actual training.

## Anthropic Faces Potentially "Business-Ending" Copyright Lawsuit
- **Anthropic faces a class action lawsuit** that could impose damages exceeding **$1 billion** due to its use of pirated books for AI model training, marking a significant legal precedent in the generative AI sector.

## 2025 Stack Overflow Developer Survey Results
- The **2025 Stack Overflow Developer Survey** reveals that over **49,000 developers** from **177 countries** participated, highlighting a significant focus on **AI tools** and community platforms, with **45%** of respondents coding for less than **10 years**.

## SRAM Has No Chill: Exploiting Power Domain Separation to Steal On-Chip Secrets
- **Volt Boot** is a novel attack that exploits **power domain separation** in modern SoCs to retain data in on-chip SRAM across power cycles, achieving **100% accuracy** in data retrieval without the need for low temperatures or complex post-processing.

## \[2507.19457\] GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
- **GEPA (Genetic-Pareto)** leverages **natural language reflection** to optimize prompts, enabling LLMs to learn high-level rules more effectively than traditional reinforcement learning methods like GRPO, which often require extensive rollouts.

## Do variable names matter for AI code completion? (2025)
- **Descriptive variable names significantly enhance AI code completion**, yielding a **34.2% exact match rate** compared to just **16.6% for obfuscated names**, indicating that clarity in naming aids model performance.

## SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
- **SmallThinker** represents a breakthrough in **local deployment** of large language models (LLMs), designed from the ground up to operate efficiently on devices with **limited resources** rather than merely compressing existing cloud models.

## The Making of Dario Amodei
- **Dario Amodei**, CEO of Anthropic, has transformed the company into a **$61 billion** powerhouse, emphasizing AI's rapid advancement and its potential to disrupt **50% of entry-level jobs** while advocating for responsible development and regulation.

## Supervised Fine Tuning on Curated Data is Reinforcement Learning
- **Supervised Fine Tuning (SFT)** on curated data can be reinterpreted as a method for maximizing a lower bound on the **Reinforcement Learning (RL)** objective, enhancing its effectiveness in sparse reward scenarios.

## \[D\] First research project – feedback on "Ano", a new optimizer designed for noisy deep RL (also looking for arXiv endorsement)
- The proposed optimizer, **Ano**, aims to **decouple gradient magnitude from momentum direction**, enhancing stability and speed in **noisy deep RL** environments, which are prevalent in this field.

## \[R\] Misuse of ML for a cortical pain biomarker?
- The critique in _JAMA Neurology_ highlights **methodological flaws** in a previously published ML-based pain biomarker, specifically citing an **incorrect validation set** and an **unrepresentative test set**.

## State of the Art SISR \[R\]
- **Extreme single-image super-resolution (SISR)** techniques can achieve magnification factors of **up to 100x**, leveraging domain-specific texture synthesis tailored for materials.

## \[R\] Multi-View Contrastive Learning: Principled Framework for 3+ Views and Modalities
- **MV-InfoNCE and MV-DHEL** are novel loss functions that enhance **multi-view contrastive learning** by effectively managing interactions among multiple views, addressing the limitations of existing methods like SwAV and DINO.