Ep 43: DeepSeek V4's full paper reveals FP4 quantization-aware training running directly in late-stage MoE optimization with minimal quality loss.

Models & Agents DeepSeek V4's full paper reveals FP4 quantization-aware training running directly in late-stage MoE optimization with minimal quality loss. What You Need to Know: DeepSeek released the complete V4 technical paper detailing FP4 QAT, anticipatory routing for training stability, and generative reward modeling. Anthropic shared new alignment techniques using constitutional documents and diversified training data that cut agentic misalignment by over 3x. ... AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production.