Topic
machine-learning
7 articles
The Math Remembers: How to Catch a Model Lying About Being Original
A city shipped a 'homegrown' AI; subtraction proved most of it was someone else's. The toolkit for catching model fraud, and its honest limits.
July 06, 2026
·llmmachine-learningYour Music Has No Genre: Reading It Off the Waveform
Spotify deleted the BPM API and underground techno has no genre tag anywhere, so I stopped looking the genre up and started computing it from the audio.
June 15, 2026
·audio-mllocal-firstMemory as Polynomial Projection: The Mathematics of Long-Context Predictive Modeling
HiPPO's polynomial-projection idea is the through-line from S4 to Mamba-3 to HiSS. And it argues that long-context LLMs and long-context prediction are not the same problem.
May 19, 2026
·deep-learningmambaEnergy-Based Transformers: The 1982 Architecture Finally Got Compatible Training Tricks
An EBM finally crossed 800M parameters without collapsing. Nobody has independently reproduced the 35% scaling claim. Both halves matter.
May 07, 2026
·deep-learningai-architectureThe Post-Transformer Era: State Space Models, Mamba, and What Comes After Attention
A practitioner's guide to Mamba and State Space Models — how selective state spaces achieve linear scaling, when to use SSMs vs Transformers vs hybrids, and production-ready models.
February 10, 2026
·mambaai-architectureVLA Models Demystified: How Robots Learned to See, Listen, and Act
VLA models give robots the ability to see, parse language, and execute physical actions through a single architecture. This post covers how they work, what shipped in 2025, and where the limitations are.
February 03, 2026
·computer-visionroboticsTowards Autonomous Edge AI: Local LLM Inference, Efficient Quantization, and Hybrid Memory in Practice
What if your AI worked offline, kept your secrets, and actually remembered you, without ever flinching at a spotty network? This post moves past the "API-everywhere" playbook. It lays out theory for a...
October 23, 2025
·aimachine-learning