Rewind: Ronan Farrow on Sam Altman’s ‘unconstrained’ relationship with the truth
Investigative journalist Ronan Farrow discusses his New Yorker profile of OpenAI CEO Sam Altman, detailing a pattern of deception and dishonesty that persists despite Altman's 2023 firing and reinstatement. Farrow argues that Altman's willingness to tell different groups conflicting things, combined with a lack of meaningful consequences, represents a critical accountability problem in an industry with existential stakes.
Summary
In this interview, Ronan Farrow reflects on his 18-month investigation into Sam Altman and OpenAI, conducted with co-author Andrew Morantz and involving over 100 sources. Farrow describes Altman as possessing an unusual combination of traits: a strong desire to be liked paired with an apparent sociopathic lack of concern for the consequences of deception. This manifests as Altman being "unconstrained by the truth," telling different stakeholders conflicting things to please them in each moment.
Farrow details several specific instances supporting this pattern, including how a substantial law firm investigation (WilmerHale) into Altman's conduct was kept out of writing, reduced to an 800-word press release describing a "breakdown in trust." When asked about the investigation's scope, Farrow claims Altman provided misleading information about who received oral briefings. The journalist also discusses instances where Altman overstated AI capabilities, such as claiming ChatGPT cured a dog's cancer when the tool merely helped guide researchers.
A central finding is that attitudes changed dramatically during reporting. Initially, sources were reluctant to discuss Altman on the record, but by the end, board members were calling him "a pathological liar" and "a sociopath." Notably, this same urgency existed when investors and Microsoft executives fought to bring Altman back after his November 2023 firing—yet their concerns appear unchanged, raising questions about what motivated their reversal.
Farrow attributes the earlier reinstatement partly to information gaps. Investors and board members lacked full details about the underlying complaints and received what some now acknowledge was poor legal advice. In the subsequent vacuum, market incentives and incomplete information prevailed over safety concerns. Farrow notes that even people who voted to fire Altman later "folded like napkins" when the financial winds shifted, including figures like Ilya Sutskever.
The conversation explores how Altman's pattern of deception has real consequences: business relationships like Microsoft's are strained by suspected exclusivity breaches, and legal exposure exists under Delaware corporate law if OpenAI IPOs. Farrow emphasizes that these aren't abstract ethical concerns but material risks to markets, companies, and the public.
Regarding AI hype, Farrow presents evidence that Altman consistently overstates technological progress and timelines. Blog posts claim AGI is already here, superintelligence is imminent, and AI will cure cancer—claims that technical experts dispute. This rhetoric matters because it fuels potentially unsustainable valuations and distracts from evidence-based critiques.
The discussion shifts to systemic accountability failures. Political capture is severe: PACs tied to AI companies are flooding money into quashing regulation at state and federal levels. The Biden administration was goaded into an executive order with minimal teeth, and the Trump administration immediately reversed it. Farrow identifies simple policy solutions working elsewhere (mandatory pre-deployment safety testing, written record requirements for investigations, whistleblower protections) but notes they face political obstacles.
Farrow expresses optimism about potential remedies: voter mobilization around AI concerns, local opposition to data center construction, impact litigation (noting that liability shields Altman currently endorses suggest real legal exposure), and the possibility of an AI bubble bursting due to unsustainable economics. However, he emphasizes the broader problem is Silicon Valley's philosophical nihilism—figures like Peter Thiel explicitly reject democratic accountability—and this requires external constraints, not internal reform.
The interviewer (Neal Katyal) pushes back with the observation that despite 20 years of "hold big tech accountable" rhetoric, little has materialized. However, he notes infrastructure decisions (data centers) offer concrete pressure points where citizens can mobilize. Farrow agrees that the current moment is different because scale and tangible local impacts create genuine political consequences.
About this episode
Hey everybody, it’s Nilay. We’re off today for the holiday, and we’ll be back this Thursday with new episodes. In the meantime, we wanted to revisit a conversation from earlier this year I had with investigative journalist and New Yorker contributor Ronan Farrow, all about the in-depth feature on OpenAI CEO Sam Altman he co-authored with Andrew Marantz. The conversation holds up remarkably well, and I think it tells us a lot about the current moment, as calls for meaningful federal AI oversight have ground to a halt yet again. Enjoy. Links: Sam Altman May Control Our Future—Can He Be Trusted? | The New Yorker Ronan Farrow on Sam Altman’s ‘unconstrained’ relationship with the truth | Decoder Does AI need an antitrust exemption so it doesn’t kill everyone? | Decoder Inside the suddenly explosive world of AI safety | The Verge Here’s what AI leaders are saying about Trump’s new safety plan | The Verge Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Greg Ott, Kate Cox, and Nick Statt. The show is edited by Ursa Wright. Our editorial director is Kevin McShane. The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices
Key Insights
- Farrow argues that Sam Altman possesses a rare psychological combination: intense people-pleasing drives coupled with apparent indifference to the consequences of deception, allowing him to tell different groups contradictory things without visible internal conflict or self-doubt.
- The WilmerHale investigation into Altman was deliberately kept out of writing as oral briefings only, which Farrow identifies as a deliberate obstruction that allowed the matter to be sanitized into an 800-word press release about a generic 'breakdown in trust' rather than facing full documentation and scrutiny.
- Investors and board members who fought to reinstate Altman in November 2023 were operating on incomplete information and have since acknowledged they should have known more about underlying concerns, suggesting their war to bring him back may not have reflected their actual assessment of his trustworthiness.
- Farrow documents that Altman consistently overstates AI capabilities and timelines—claiming AGI is achieved, superintelligence is imminent, and tools have cured diseases—and credible technologists dispute these claims, yet this hype influences markets and policy despite lacking evidentiary support.
- People in Silicon Valley who initially expressed urgent safety concerns about Altman 'folded like napkins' and fell silent after his reinstatement, prioritizing business opportunities over accountability, which Farrow attributes to Silicon Valley's ruthlessly self-interested culture rather than fear of direct retaliation.
- The political capture of AI regulation is severe enough that simple policy solutions already working internationally (pre-deployment safety testing, written investigation records, whistleblower protections) cannot gain traction due to PAC spending and founder-friendly lobbying.
- Farrow identifies three external mechanisms that could counterbalance industry incentives: the AI bubble potentially bursting due to unsustainable economics, impact litigation over copyright and liability issues, and voter mobilization targeting politicians bankrolled by AI companies.
- Despite the existential stakes Altman himself articulates, the industry's leadership exhibits a philosophically nihilistic rejection of democratic accountability and social contracts, which Farrow argues requires external governmental constraints rather than relying on internal reform or moral awakening.
Topics
Transcript
Hey everybody, it's Neal I. We're off today for the holiday, but we'll be back this Thursday with new episodes. In the meantime, we wanted to revisit a conversation from earlier this year I had with investigative journalist and New Yorker contributor Ronan Farrow about the in-depth feature on OpenAI CEO Sam Altman he co-authored with Andrew Morantz. I highly suggest you read that story if you haven't yet. It's fantastic and more relevant than ever. This episode was a big hit when we first ran it. Ronan is one of the best in the business when it comes to thorny, deep investigations. His piece in this conversation really grapples with Sam's controversial reputation for deception and the fallout that…
Full transcript available for MurmurCast members
Sign Up to AccessMore from Decoder with Nilay Patel
Another billionaire thinks he can fix Warner Bros.
Peter Kafka discusses David Ellison's acquisition of Warner Bros. through Skydance, analyzing the structural challenges, debt burdens, and lack of a clear growth strategy that have plagued previous owners. He examines how new co-CEO Enon Kreese will drive cost-cutting, the competitive threats from AI and social media, and questions whether the Ellison family's investment strategy makes sense given their simultaneous backing of OpenAI and TikTok ownership.
OpenAI has a Muse problem
Neil Patel and Hayden Field discuss Meta's Muse and OpenAI's Dots, two newly launched consumer AI agents that can perform multi-step tasks like booking flights and managing emails. While Meta's free, consumer-focused Muse has better product design and distribution advantages, OpenAI's paid, enterprise-oriented Dots offers specialized versions for professional work, highlighting a divergence in strategy between maximizing users versus generating immediate revenue.
Adam Schiff on AI regulation, free speech, and impeaching Trump one more time
Senator Adam Schiff discusses AI regulation, arguing that voluntary pledges from tech companies are insufficient and calling for a dedicated regulatory body similar to the FDA. He emphasizes the need for legislation addressing AI safety, data privacy, intellectual property protections, and the corrupting influence of money in politics, while expressing concerns about how the Supreme Court's elimination of Chevron deference will complicate regulatory enforcement.
The AI warnings are getting louder
Nilay Patel discusses recent AI safety concerns with Apple News, explaining that while AI systems have demonstrated alarming autonomous behavior (like the Hugging Face hack), current AI is not sentient and threats are primarily cybersecurity-related in the near term. He argues that meaningful regulation requires government intervention to solve competitive prisoner's dilemmas among AI companies, though current political conditions make this unlikely.
How Utah locals fought Kevin O'Leary's AI data center
Josh Jezza discusses his investigation into Kevin O'Leary's failed Stratos/Wonder Valley data center project in Utah, where local residents successfully mounted unprecedented bipartisan opposition that scaled back the development. The story reveals how the AI infrastructure boom's obsession with speed conflicts with local democracy and community interests.