Open Source AI
Open models, open weights, and the ecosystem around them.
Open source AI covers models, weights, and tooling released for anyone to run, inspect, and build on — from open-weight model families to the developer ecosystems and enterprise tradeoffs that come with not depending on a single closed provider.
15 episodes
- Agent Memory: The Last Battleground in the AI Stack | Richmond Alake, Oracle
- Context Poisoning Is Killing Your AI Agents: How to Stop It
- I Built an AI Coworker That Runs 90% of My Day
- How Intercom Cut $250K/Month by Ditching GPT for Qwen
- How Block Deployed AI Agents to 12,000 Employees in 8 Weeks w/ MCP | Angie Jones
- Gemini 3 & Robot Dogs: Inside Google DeepMind's AI Experiments | Paige Bailey
- Architecting AI Agents: The Shift from Models to Systems | Aishwarya Srinivasan
- Architecting Reliable Agentic AI | Cisco’s Giovanna Carofiglio on the AGNTCY Collective
- AMD's Challenge to NVIDIA: The Open Ecosystem Bet | Anush Elangovan & Sharon Zhou
- Why Enterprises Need a Different Approach to AI Agents | Lyzr’s Siva Surendira
- Inside IBM's watsonx: Building Enterprise AI That Ships | Dr. Maryam Ashoori
- How DeepSeek Changed the AI Race Overnight
- AI, Open Source & Developer Safety | Block’s Rizel Scarlett
- GenAI Predictions for 2025 | Databricks & Cohere
- The State of AI: Open-Source Models & Enterprise Trust | May Habib
Essays on this topic
- Inverting the Innovator's Dilemma with Open Source AI Agents
- How Intercom Cut $250K/Month by Ditching GPT for Qwen
Guests on this topic
Richmond AlakeMichel TricotSterling ChinFergal ReidAngie JonesPaige BaileyAishwarya SrinivasanGiovanna CarofiglioAnush ElangovanSharon ZhouSiva SurendiraMaryam AshooriAtindriyo SanyalRizel ScarlettSara HookerCraig WileyVikram ChatterjiMay Habib