Meta AI Chatbot to Use 'Memory' for Personalized Recommendations
Meta's AI chatbot will use user conversations, Facebook profiles, and Instagram Reels viewing history to provide more relevant recommendations, enhancing personalization.
Jordan Vega
In a groundbreaking move, Python 3.13 has finally removed the Global Interpreter Lock (GIL), unleashing true parallelism for Python developers. This significant update, dubbed "no-GIL" or "free-threaded" Python, promises to transform the way applications handle concurrency, paving the way for faster and more efficient processing.
With the GIL gone, Python threads can now run concurrently, unlocking the full potential of multi-core processors. This means developers can harness the power of parallelism to speed up CPU-bound operations, making their applications faster and more responsive.
To take advantage of this new feature, users can install the free-threaded build of Python 3.13 alongside the regular version, selecting between them as needed. The py
tool in Windows and pyenv
in Linux allow for seamless switching between builds.
Existing programs using high-level abstractions like ThreadPoolExecutor
will work as-is, while C extensions require recompilation with explicit support for the free-threaded build. Cython, a popular tool for creating C extensions, is already adding support for this feature.
This update is a game-changer for Python developers, enabling them to tap into the power of parallelism and create faster, more efficient applications. With the "no-GIL" build, Python 3.13 is poised to revolutionize the way we approach concurrency in Python development.
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