AI/ML
Simulating Quantum Decision Models in Pure Python (No QPU Required)
Python quantum: I spent most of last week arguing with a vendor who insisted we needed cloud QPU access to run our new multi-agent decision matrix.
TF 2.18 & Keras: Real-World Performance Review
I finally bit the bullet last week. After ignoring the notification icons for two months, I upgraded our main training pipeline Learn about Keras updates.
Ray and PyTorch are finally under one roof. Good riddance to the anxiety.
Actually, I should clarify – I’ve been writing distributed training scripts for the better part of five years, and let me tell Learn about PyTorch news.
RNNs Aren’t Dead: Liquid Networks in Keras 3
I distinctly remember the funeral we all held for Recurrent Neural Networks around 2019. The Transformer architecture had just Learn about Keras updates.
LlamaCloud’s Multimodal RAG: Finally, No More Glue Code
LlamaIndex news: Well, that’s not entirely accurate — I’ve actually been playing around with LlamaCloud for a while now. You know the drill.
Mojo in 2026: Is It Finally Time to Ditch Pure Python?
Actually, I still remember the noise when Mojo first dropped. It was mid-2023, and the promise was wild: Python syntax, C++ Learn about Mojo language.
Distributed Training Finally Stopped Making Me Cry (Mostly)
I still remember the first time I tried to shard a 70B parameter model across a cluster of GPUs. It was 2 AM, I was three Learn about PyTorch news.
Testing Python Agents is a Nightmare (Here’s How I Fix It)
I spent the last three days debugging a graph-based workflow where three different AI agents were supposed to collaborate on Learn about Python testing.
Mojo in 2025: A Python Dev’s Honest Look Under the Hood
I have a love-hate relationship with Python. We all do, right? It’s the glue holding the entire AI ecosystem together, yet Learn about Mojo language.
Strengthening the Core: The Future of NumPy, Scikit-learn, and Scientific Python Performance
NumPy news: The Python ecosystem has long been the dominant force in data science, machine learning, and scientific computing. At the heart of this domi…