This Is a Fight Worth Having: The Case for Open Source AI | Raffi Krikorian, Mozilla CTO
Inference by Turing Post
A LAMP-like stack for AI
Raffi outlines four stack layers—compute, model, data, developer experience—and the need for standards and interchangeability.
We explore why stories like Pinterest saving $10 million by moving to open models are real, but often misunderstood, and why timing matters more than ideology. Raffi lays out his view of a missing “LAMP stack for AI” and explains why the hardest problem to solve isn’t models or data, but the connective glue that holds AI systems together.
Along the way, he shares how Mozilla is navigating these tradeoffs in practice, why even open-source-first organizations still rely on closed tools during experimentation, and what the browser era taught Mozilla about defaults, user choice, and long-term control.
He also shares a few practical recommendations in this episode that apply even if you’re still experimenting. Listen closely.
This conversation kicks off our Open Source AI series for 2026, focused on real tradeoffs, real economics, and the decisions companies are making right now. Follow on: https://www.turingpost.com/
*Did you like the episode? You know the drill:*
📌 Subscribe for more conversations with the builders shaping real-world AI.
💬 Leave a comment if this resonated.
👍 Like it if you liked it.
🫶 Thank you for watching and sharing!
*Guest:* Raffi Krikorian, CTO at Mozilla
LinkedIn: https://www.linkedin.com/in/rkrikorian/
Mozilla AI: https://mozilla.ai/
Mozilla Blog: https://blog.mozilla.org/en/mozilla/mozilla-open-source-ai-strategy/
*Links mentioned:*
Raffi's post here about our OSAI strategy: https://blog.mozilla.org/en/mozilla/mozilla-open-source-ai-strategy/
🌐 #1: Mastering Open Source AI in 2026: Essential Decisions for Builders https://www.turingpost.com/p/opensource1
Mozilla Data Collective: https://data.mozilla.org/
Langchain: https://www.langchain.com/
OpenRouter: https://openrouter.ai/
AI2 (Allen Institute for AI): https://allenai.org/
Flower AI (Federated Learning): https://flower.dev/
Einstein's Dreams by Alan Lightman: https://www.goodreads.com/book/show/14376.Einstein_s_Dreams
📰 The transcript and edited version at https://www.turingpost.com/krikorian
*Chapters:*
0:00 Cold Open — Values vs Economics in Open Source AI
0:28 Intro: Why This Season Focuses on Open Source AI
0:54 When Open Source Becomes a Business Decision
1:44 Pinterest Saved $10M + The Shift From Prototyping to Production
2:42 Mozilla’s “Choice Suite” + The Terraform “Exit Door”
5:21 Mozilla’s Mission: Do for AI What Mozilla Did for the Web
7:09 The “LAMP Stack” for AI + Standards Across the Stack
9:52 Small Models, Specialization, and Model Composability
15:45 Data, Privacy, and “I Own My Context”
18:36 “This Is a Fight Worth Having” + The Signal Analogy
21:42 1–2–3 Steps for Companies to Start (Instrument Choice Early)
24:22 Book Pick: Einstein’s Dreams + Closing
Turing Post is a newsletter about AI's past, present, and future. Ksenia Se explores how intelligent systems are built – and how they're changing how we think, work, and live.
*Follow us →*
Turing Post: https://x.com/TheTuringPost
Ksenia Se: https://www.linkedin.com/in/ksenia-se
https://huggingface.co/Kseniase
#OpenSourceAI #LAMPStackForAI #AIEconomics #MozillaAI #AIInfrastructure #DataProvenance #FederatedLearning #OpenModels
The AI-powered Podcast Player
