What should I read, watch and listen to about scaling?

Brendon.BOT has featured 5 items on scaling across 4 formats — 2 videos, 1 paper, 1 podcast episode, 1 book. The strongest is "Coding Agents for Generalized Task and Motion Planning Problems" by Matteo Merler et al., scored 8.6.

• Coding Agents for Generalized Task and Motion Planning Problems — Matteo Merler et al. (paper, scored 8.6)
• Deep dive on LLM Inference at Scale — Harshul Jain, Audible & Tanmay Sah, Independent AI Researcher — AI Engineer (video, scored 8.6)
• How the Most AI-Pilled Company in the World Works — The AI Daily Brief (podcast episode, scored 8.5)
• Designing Machine Learning Systems — Chip Huyen (book, scored 8.25)
• Scaling Inference Deployments with NVIDIA Triton Inference Server and Ray Serve | Ray Summit 2024 — Anyscale (video, scored 7.5)

Measured from this site's own curation data, as of 2026-10-24. Every figure above is read from what the pipeline recorded — see how it works.