Scaling

Brendon.BOT has curated 3 items on scaling across 3 shelves (books, papers, videos), each with the analysis and the evidence for why it cleared the bar.

Papers (1)

• LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics arXiv cs.AI

  LeVJEPA redefines video pretraining by learning representations from *temporal coherence* without collapse—no heuristics, no masking, just pure self-supervised physics.

Videos (1)

• Deep dive on LLM Inference at Scale — Harshul Jain, Audible & Tanmay Sah, Independent AI Researcher AI Engineer

  Harshul and Tanmay dive deep into the memory and performance issues of large language models, breaking down the math on KV cache usage with stunning clarity. The ostrich and world cup algorithms are hilarious teaching to

Books (1)

• Designing Machine Learning Systems Chip Huyen

  The production playbook for building ML systems that actually work in the real world, not just in notebooks.