UQLM

UQLM is a Python library for Large Language Model (LLM) hallucination detection using state-of-the-art uncertainty quantification techniques.

https://github.com/cvs-health/uqlm

QwenLM / Qwen3-Coder

Qwen3-Coder is the code version of Qwen3, the large language model series developed by Qwen team, Alibaba Cloud.

https://github.com/QwenLM/Qwen3-Coder

Fully Homomorphic Encryption and the Dawn of A Truly Private Internet

Fully Homomorphic Encryption (FHE) allows computation on encrypted data and is becoming ~8× faster each year. It could enable a privacy-by-default internet, powering secure cloud and AI services without exposing user data.

https://bozmen.io/fhe

AmazingHand

Code and model to control the AH!

https://github.com/pollen-robotics/AmazingHand

higgs-audio

Text-audio foundation model from Boson AI.

https://github.com/boson-ai/higgs-audio

passage-of-time-mcp

An MCP server that gives language models temporal awareness and time calculation abilities. Teaching AI the significance of the passage of time through collaborative tool development.

https://github.com/jlumbroso/passage-of-time-mcp

3 pandas Workflows That Slowed to a Crawl on Large Datasets—Until We Turned on GPUs

NVIDIA shows how switching from pandas to GPU-accelerated cuDF made slow data workflows run up to 30× faster. Common tasks like time-series analysis and dashboard filtering became near-instant with minimal code changes.

https://developer.nvidia.com/blog/3-pandas-workflows-that-slowed-to-a-crawl-on-large-datasets-until-we-turned-on-gpus/

Announcing Toad - a universal UI for agentic coding in the terminal

Will McGugan announces Toad, a new universal terminal UI for AI coding agents built with Textual, offering a flicker-free and interactive experience compared to existing tools. Toad will be open source, supports any backend language, and uses JSON for communication between frontend and backend.

https://willmcgugan.github.io/announcing-toad/

Python Tutorial: Type Hints - From Basic Annotations to Advanced Generics

Corey Schafer explains Python’s type hints, from basic function annotations to advanced features like generics, with practical examples showing their benefits for code clarity, early bug detection, and IDE support. He highlights that type hints are optional and flexible, letting you gradually adopt them in your projects.

https://www.youtube.com/watch?v=RwH2UzC2rIo

Django: iterate through all registered URL patterns

Adam Johnson demonstrates a Python generator function that recursively traverses Django’s URLResolver structure to enumerate all registered URLPattern objects, including those in nested namespaces. He shows how this can be used for tasks like auditing registered views or writing tests to ensure all class-based views inherit from a specific base class.

https://adamj.eu/tech/2025/07/22/django-iterate-url-patterns/

metap: A Meta-Programming Layer for Python

metap is a new Python meta-programming layer that supports program augmentation, user-defined code generation, and structural introspection. It allows developers to automate coding patterns, extend Python with customizable macros, and have code inspect and enforce its own structure, improving maintainability and correctness. Unlike Python’s built-in tools, metap offers a unified, extensi...

https://sbaziotis.com/compilers/metap.html

Semi-Automated Assembly Verification in Python using pypcode Semantics

Philip Zucker introduces a Python toolkit that lets users add verification annotations directly to assembly code using macros, enabling semi-automated proof of correct assembly behavior via pypcode, which supports portable, architecture-agnostic analysis. This approach keeps formal verification practical and accessible for real-world low-level programming.

https://www.philipzucker.com/assembly_verify/