What should I read, watch and listen to about open-source?

Brendon.BOT has featured 5 items on open-source across 3 formats — 3 videos, 1 podcast episode, 1 paper. The strongest is "🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing" by Latent Space, scored 9.5.

• 🔬“We have foundation models for language, not for physics” — Anima Anandkumar, Bren Professor of Computing — Latent Space (podcast episode, scored 9.5)
• LongCat 2.0: The Beginning of the End of NVIDIA MOAT? — bycloud (video, scored 9.2)
• Rufus-Air: An Open LLM Post-Training Recipe — Chia-Yuan Chang et al. (paper, scored 8.5)
• Ray Summit 2025 Keynote: AI OSS Stack Panel with vLLM + PyTorch + Kubernetes — Anyscale (video, scored 7.3)
• You Can Learn AI Agent Harness In Real Code In 20 Min | Loop Engineering, Memory, Eval, Open Source — Sean‘s AI Stories and AutoManus (video, scored 7.2)

Measured from this site's own curation data, as of 2026-10-15. Every figure above is read from what the pipeline recorded — see how it works.