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Async Django: a solution in search of a problem?

The article explains that Django added async support mainly to handle I/O-bound workloads more efficiently by allowing the server to process multiple requests concurrently without blocking. However, the async features add significant complexity and have seen limited adoption because most Django applications benefit more from offloading heavy tasks to background workers rather than rewrit...

https://www.loopwerk.io/articles/2025/async-django-why/
the bug that taught me more about PyTorch than years of using it

The blog post recounts how a silent PyTorch MPS backend bug caused training loss plateaus by failing to update model weights on non-contiguous tensors, leading the author through a deep debugging journey that revealed PyTorch internals and the complexity of device-specific GPU kernel implementations. This experience taught more about PyTorch's workings than years of usage, emphasizing th...

https://elanapearl.github.io/blog/2025/the-bug-that-taught-me-pytorch
Introducing FlashPack: Lightning-Fast Model Loading for PyTorch

The FlashPack package dramatically speeds up PyTorch model loading by flattening all weights into a single contiguous stream, memory-mapping the file, and overlapping disk, CPU, and GPU operations with CUDA streams. This approach yields 3-6× faster loading compared to traditional methods like loadstatedict(), reducing GPU idle time and improving overall performance, especially on syste...

https://blog.fal.ai/introducing-flashpack-lightning-fast-model-loading-for-pytorch
The Building Blocks of Agentic AI: From Kernels to Clusters

The PyTorch Native Agentic Stack is a scalable, PyTorch-integrated framework designed for building and deploying autonomous AI agents across thousands of GPUs. It simplifies complex distributed reinforcement learning workflows by orchestrating large-scale models, providing abstractions for services, fault tolerance, and efficient state management to accelerate AI research and deployment.

https://ai.meta.com/blog/introducing-pytorch-native-agentic-stack
Detecting object wrappers

The wrapt library's version 2.0.0 changed its object proxy class hierarchy, breaking checks that detect if an object is already wrapped, causing repeated wrapping and performance issues. The best practice is to use custom wrapper types and traverse wrapper chains via the wrappedattribute to reliably detect wrapping, emphasizing careful version pinning and cautious monkey patching in ...

https://grahamdumpleton.me/posts/2025/10/detecting-object-wrappers/
pip 25.3

The pip 25.3 release is the final major pip update of 2025, featuring the removal of non-PEP 517 package build support and non-PEP 660 editable installs, meaning pip no longer calls legacy setup.py commands. It adds the new --build-constraint option for specifying build-time constraints separately, improves caching and metadata handling, supports editable requirements as Direct URLs, and...

https://discuss.python.org/t/announcement-pip-25-3-release/104550