Model quantization

Aug 07, 2026

Anthropic’s sandbox breach, EU’s AI transparency push and DeepSeek’s cost-cutting model

This episode delves into several critical developments in AI. It begins by discussing recent sandbox breaches by Anthropic and Meta, mirroring earlier incidents with OpenAI, prompting debate on whether these are mere accidents or a growing concern as models become more capable and "agentic." The conversation then shifts to the EU's new AI transparency rules, exploring the challenges and effectiveness of labeling AI-generated content. Finally, the podcast examines DeepSeek V4-Flash's impact on the AI market, questioning if its low cost and high performance will disrupt the pricing of more capable, proprietary models and drive greater commodification and on-device inference.

Jul 28, 2026

Green AI: Making Machine Learning Environmentally Sustainable • Charles Humble • YOW! 2025

Charles Humble explores the significant environmental impact of AI, particularly generative AI, on global carbon emissions. He offers practical, actionable strategies across the entire AI lifecycle—from project planning and data collection to training and deployment—to reduce this footprint. Key recommendations include questioning the necessity of AI solutions, choosing open-source models, leveraging carbon-aware computing for demand shifting, employing model compression techniques like distillation and quantization, and integrating sustainability as a fundamental architectural principle in software engineering.