The Case for Open-Source AI - with Nicholas Thompson and Raffi Krikorian

The Case for Open-Source AI - with Nicholas Thompson and Raffi Krikorian

Author: Atlantic Re:think May 6, 2026 Duration: 54:00
Why does AI answer the way it does? Even as models cite their sources, the question of “why” remains one of the most confounding in the industry, with huge implications for users and builders alike. Mozilla CTO Raffi Krikorian says much of the answer lies in open-source AI— letting users look under the hood to see what’s happening. It’s a compelling idea, one that could also impact safety and alignment. But can it thrive? And what are the risks of ceding control? In a deep conversation with Atlantic CEO Nicholas Thompson, Raffi describes a world where technology is liberated from a handful of corporations, shares his hopes and fears for AI, and reflects on his recent car crash involving a self-driving Tesla. (00:00) Introduction: The mystery of AI decision-making and the need for transparency  (02:25) Twitter, Uber, and the DNC: Raffi’s career history (05:01) How centralization changed Twitter into X (08:30) Why seven companies shouldn't control AGI  (11:38) Mozilla's mission: Building an open AI ecosystem like Firefox did for the web  (14:21) Is it strange that Google funds Firefox? (16:40) The four layers of AI openness: Compute, data, models, and developer tooling (22:20) Data ethics and provenance: Creating markets for ethically-sourced training data  (26:44) What counts as “true” open-source AI? (32:04) The risks of open source AI: Balancing accessibility with safety concerns  (35:56) Should powerful AI be restricted like nuclear weapons?  (39:17) Raffi's Tesla crash and the danger of automated complacency  (46:56) Preserving humanity in the age of AI: Avoiding the "WALL-E" future Learn more about your ad choices. Visit megaphone.fm/adchoices

Nicholas Thompson sits down with some of the sharpest minds working at the edges of artificial intelligence in The Most Interesting Thing in A.I.. This isn't a dry technical briefing or a series of speculative futures; instead, each conversation digs into the tangible, often surprising ways this technology is already altering the fabric of our daily lives and institutions. You'll hear from leading thinkers who cut through the hype to discuss the real ethical dilemmas, economic shifts, and social transformations unfolding right now. Produced by Atlantic Re:think and PwC, the podcast provides a grounded space to explore questions about creativity, power, work, and truth in an age of intelligent machines. The discussions are built on the premise that understanding AI's impact requires looking beyond code and algorithms to consider human values and consequences. Tune in for thoughtful, accessible dialogues that reframe how we think about one of the most significant forces of our time.
Author: Language: English Episodes: 26

The Most Interesting Thing in AI
Podcast Episodes
Incremental vs. Exponential - with Nicholas Thompson and Andrew Ng [not-audio_url] [/not-audio_url]

Duration: 29:04
AI is advancing at an unprecedented pace. Some experts are convinced that the world as we know it will change dramatically, while others anticipate a more steady evolution. This episode dives into the debate, separating…
Staying Competitive - with Nicholas Thompson and Dan Priest [not-audio_url] [/not-audio_url]

Duration: 26:03
AI is no longer just a tool for experimentation—it’s becoming a foundational technology that’s reshaping how businesses operate. This episode describes how companies are embedding AI into their products and services, exp…
Deepfakes and Deception - with Nicholas Thompson and Eva Galperin [not-audio_url] [/not-audio_url]

Duration: 25:18
From voice-cloning scams to the creation of non-consensual nude imagery, the malevolent use of artificial intelligence poses myriad risks to truth, privacy, and personal safety. Cybersecurity expert Eva Galperin discusse…
Machine Consciousness - with Nicholas Thompson and Geoffrey Hinton [not-audio_url] [/not-audio_url]

Duration: 24:30
What if the most advanced AI models could think and respond in a way that felt like a human consciousness? How might that transform our understanding of intelligence itself? Some of the leading AI scientists believe that…