MLWhiz: Recs|ML|GenAI

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May 2026

Understanding Transformers, the MLE Way
GenAI Series Part 1: What even are transformers?
HSTU From Scratch in PyTorch - A complete Walkthrough
RecSys for MLEs Part 9d: data pipeline, three sub-layers, retrieval + rating loss, and benchmarking against rectools' HSTU on MovieLens-1M
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 8 - The week of Google I/O 2026
Google I/O opened up a lot of eyes for major AI firms
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 7 - The week Karpathy Joined Anthropic
The week Andrej Karpathy picked his side, and everyone else picked theirs.
HSTU: How Meta Built a Trillion-Parameter Recommender That Actually Scales
The architecture, the math, the code, and why every RecSys team is suddenly building one
MLWhiz Weekly Recsys/ML/GenAI Newsletter # 6
The week the AI found curl vulnerabilities and the developers discussed AI usage while coding
From Random IDs to Semantic IDs: Building a Generative Recommender from Scratch
How RQVAE compresses item embeddings into meaningful tokens, enabling TIGER-style generative recommendation. Full code walkthrough on Steam Games with…
MLWhiz Weekly AI/ML/Recsys Newsletter # 5
The week the AI industry's partnership era ended — and the consulting era began.

April 2026

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