Open models

Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA

Local Models: Trust, Control, Optimization — Carter Abdallah, NVIDIA

A panel with Vincent Weisser (Prime Intellect), Lucas Atkins (Arcee AI), and Chris Alexiuk (NVIDIA) on why open models matter for trust, control, cost predictability, and data ownership. The discussion covers the distinction between trust and safety, post-training open models for specific harnesses and use cases, the open MDW license, the Linux-like role of open infrastructure alongside closed models, and predictions for open model capabilities and local AI adoption over the next year.

Open Models: Kimi K3, Qwen 3.8, Xi's WAIC Speech, Distillation, The Open-Closed Gap, and What's Next

Open Models: Kimi K3, Qwen 3.8, Xi's WAIC Speech, Distillation, The Open-Closed Gap, and What's Next

Nathan Lambert and Florian Brand discuss the accelerating open model landscape, focusing on the surge in Chinese models like Kimi K3 and GLM 5.2. They explore the reasons behind China's progress, the evolving US ecosystem, the cybersecurity implications of open-source bans, and debunk common misconceptions about distillation, particularly challenging Ben Thompson's recent claims. The episode concludes with predictions and a frontier model tier list.

Why Open Models Will Beat GPT and Claude

Why Open Models Will Beat GPT and Claude

This episode explores the strategic shift of enterprises towards open AI models driven by cost and data sovereignty, highlighting the evolving tooling and hybrid deployment strategies. It also delves into the "attenuation funnel" phenomenon, where increased code generation by AI tools doesn't proportionally translate to shipped software or end-user value, and introduces "neo-consulting"—a new business model challenging traditional consulting with outcomes-based pricing and AI-focused expertise.

Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind

Gemma, DeepMind's Family of Open Models — Omar Sanseviero, Google DeepMind

A deep dive into Google DeepMind's Gemma 4, the latest family of open models. This summary covers the new model architectures like per-layer embeddings, on-device agentic capabilities, multimodal features, and the growing ecosystem of fine-tuned applications from medicine to sovereign AI.