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Open source models

Sovereign Escape Velocity: Ownership w Open Models — Gus Martins, & Ian Ballantyne, Google DeepMind

Sovereign Escape Velocity: Ownership w Open Models — Gus Martins, & Ian Ballantyne, Google DeepMind

Google DeepMind's Ian Ballantyne and Gus Martins introduce Gemma 4, a family of open models delivering state-of-the-art performance with remarkable size efficiency. They discuss how models like the 31B variant outperform competitors 2-20x its size while running on a single GPU, the shift to an Apache 2.0 license to foster sovereignty and adoption, and the new economics of running powerful agentic workloads on hardware ranging from a Pixel phone to a single enterprise GPU.

Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud

Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud

Baseten CEO Tuhin Srivastava discusses the explosive growth in AI inference, driven by the adoption of specialized and post-trained open-source models. He covers the strategic importance of owning the software layer on top of compute, navigating the severe GPU supply crunch with a multi-cloud fabric, the evolving landscape of AI workloads, and the operational lessons learned from scaling 30x in one year.

Open Models at Google DeepMind — Cassidy Hardin, Google DeepMind

Open Models at Google DeepMind — Cassidy Hardin, Google DeepMind

Cassidy Hardin from Google DeepMind introduces Gemma 4, a new family of open-weight models with significant architectural and performance improvements. This summary covers the four new models (31B Dense, 26B MoE, and two "Effective" on-device models), deep dives into architectural changes like mixed global/local attention and Per-Layer Embeddings (PLE), and details the new native multimodal capabilities for vision and audio.

Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample

Mistral: Voxtral TTS, Forge, Leanstral, & Mistral 4 — w/ Pavan Kumar Reddy & Guillaume Lample

Mistral's Pavan (Voxtral lead) and Guillaume (Chief Scientist) discuss the new Voxtral TTS model, its novel architecture using flow matching for efficient, high-quality speech generation. They elaborate on Mistral's strategy of delivering specialized, open-weight models and the Mistral Forge platform, which empowers enterprises to leverage their proprietary data through fine-tuning for privacy, cost-effectiveness, and superior performance. The conversation also covers Mistral Small, the future of AI for science, and the company's commitment to open-source and foundational research, including formal proving as a proxy for long-horizon reasoning.

Trust at Scale: Security and Governance for Open Source Models // Hudson Buzby // MLOps Podcast #338

Trust at Scale: Security and Governance for Open Source Models // Hudson Buzby // MLOps Podcast #338

Hudson Buzby from JFrog discusses the critical security, governance, and legal challenges enterprises face when adopting open-source AI models. He highlights the risks lurking in repositories like Hugging Face and argues for a centralized, curated AI gateway as the essential framework for enabling safe, scalable, and cost-effective AI development.

No Priors Ep. 127 | With SemiAnalysis Founder and CEO Dylan Patel

No Priors Ep. 127 | With SemiAnalysis Founder and CEO Dylan Patel

SemiAnalysis CEO Dylan Patel discusses the shifting AI landscape, covering OpenAI's strategic open-source release, the fierce competition to challenge Nvidia's dominance, the consolidation of neoclouds, and the geopolitical implications of the global AI infrastructure buildout.