The domain of cybersecurity features prominently here, since AI can be used to enhance security, but equally make it easier to scale up cyberattacks.
Tuesday, 11 November 2025
Getting Jiggy with gpt-oss-20b (and why open weights matter)
gpt-oss-20b is an open weight language model. These so-called "open weights" reflect the pre-training the model has received.
The model is a significant 12GB download.
LM Studio Setup & The "Logged In" User
LM Studio has two setup options:
1. For anyone who uses the computer
2. Only for the currently logged in user
Both have advantages, but if you are working with Studio to build custom LLMs tailored to you, you may want option 2 despite the (potential) convenience of option 1 where LM Studio is "universally" available to all users of the machine.
Disk Space in Windows 11
Type Storage Settings in the Search bar. This will lead you into Settings ->System -> Storage.
Monday, 10 November 2025
Python Wheels
Python wheels are pre-built binary packages for Python which make installation via pip faster and more efficient. Learn more here.
Why Python From Windows Store is Flawed
Installing Python from the Windows Store is flawed as everything goes into AppData\Local. This is a local directory associated with the logged in user C:\Users\<Name>\AppData\Local.
This is a way to sidestep a "proper installation" in C:\Program Files which requires administrator privileges. It's a way to overcome potential UAC restrictions.
Once installed - there is no proper way to uninstall. You need to get into the AppData directory (which is hidden in File Explorer). Once opened, you can navigate to Microsoft\WindowsStore to find python and related exe files (e.g. pip.exe). Then do a clean of the registry.
You may also find Python subdirectories in the WindowsStore directory.
While cleaning out registry entries you may come across references to .whl files (or Python Wheels).
Understand the Simple Power of Backpropagation but also the Dangers
So states Lex Fridman in his lecture on Recurrent Neural Networks (from the course on Deep Learning for Self-Driving Cars).
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