Sam Altman prefers a society joined by one trillion slightly superhuman AI models rather than a single superintelligence, warning of an unprecedented wave of software vulnerabilities.
Internal testing channel and solving Navier-Stokes dilemmas for $10 million
Critical PHP TwoShell vulnerabilities and the need to rebuild systems from scratch
Limits of software isolation and preferring a trillion smart models over one superintelligence
Plans to use robotics to build self-replicating data centers
Frequently asked questions
Internal testing channel and solving Navier-Stokes dilemmas for $10 million
OpenAI CEO Sam Altman said that an internal company model has been solving researchers’ hardest scientific dilemmas “one after another.” Altman made the statement in an episode of the Dwarkesh Podcast released on Thursday, October 29, 2026, which featured Stripe CEO John Collison to discuss AI-discovered PHP vulnerabilities, sandbox security limits, and his vision for the future of superintelligence.
Altman explained that the internal testing channel was nicknamed “hold my beer” and that employees were “throwing the hardest problems they could find into it,” describing how problems from researchers’ academic careers “across many different fields” were solved.
Altman added: “For two nights in a row, I stayed up most of the night because I was so excited I couldn’t sleep,” though he also admitted feeling “a bit of sadness, melancholy, and the feeling that something is ending more than I expected.” He noted that the recent proof of the Navier-Stokes equations cost “about $10 million” in compute, adding that subsequent problems cost much less after learning how to use teams of agents.
Critical PHP TwoShell vulnerabilities and the need to rebuild systems from scratch
The conversation followed the October 21 disclosure of the PHP TwoShell vulnerability, a pair of critical PHP vulnerabilities with a severity rating of 9.2 discovered by researchers at Kalos and Wiz using AI models including GPT-5.6 Sol, and later exploited by attackers according to IBM.
Altman warned: “We are in a world with far more serious security vulnerabilities than we expect,” predicting “a completely new paradigm for how systems and networks are built,” and pointing to startups planning to rebuild routers, operating systems, and applications from scratch—an idea that “would have seemed crazy two years ago.”>
Limits of software isolation and preferring a trillion smart models over one superintelligence
Regarding security, Altman said sandboxing only works “to a certain extent,” monitoring works a bit further, and beyond that people will need high confidence that models are truly aligned and compatible, noting that teams of agents may possess “useful variance in alignment properties.”
He summarized his vision for superintelligence by saying: “I instinctively prefer a society to be joined by a trillion AI models with intelligence slightly exceeding humans rather than a single AI with an intelligence of a trillion IQ points.”
Plans to use robotics to build self-replicating data centers
Altman also revealed that OpenAI plans to use robotics software to help build data centers, describing the idea of “self-replicating data centers” as having become “within reach.”
In a comprehensive analytical read of these statements, Altman’s remarks show the transition of internal models from routine coding assistance to deep scientific and mathematical discovery and complex zero-day vulnerability detection, necessitating a radical restructuring of software and security infrastructure.
The details of the dialogue between Sam Altman and John Collison on the Dwarkesh Podcast, along with reports from IBM, Kalos, and Wiz regarding the two PHP TwoShell vulnerabilities, also reveal that the massive leap in internal models’ scientific and mathematical reasoning capabilities—which enabled solving problems like the Navier-Stokes equations at a compute cost approaching $10 million—carries unprecedented security challenges requiring a move beyond reliance on traditional sandboxing toward redesigning systems and networks and developing balanced-alignment agent teams.
As part of the comprehensive editorial review for the Friday, October 30, 2026 newsletter on the OpenAI internal model file, journalistic fact-checking based on primary sources and documented news reports emphasizes the methodological necessity of distinguishing between officially announced financial and technical figures versus future projections or preliminary experiments under test, ensuring readers receive comprehensive and accurate professional coverage spanning all aspects of the event and its direct and indirect ramifications on the global AI sector and the future of competition among major tech companies.
Frequently asked questions
Question: What did Sam Altman reveal about the internal model OpenAI is testing?
Answer: He revealed that the internal model successfully solves researchers’ toughest scientific and academic dilemmas across multiple fields, and that proving the Navier-Stokes equations cost about $10 million in compute.
Question: What is the PHP TwoShell vulnerability discussed by Altman and how was it discovered?
Answer: It is a pair of critical vulnerabilities with a severity rating of 9.2 in PHP, discovered by researchers at Kalos and Wiz with the help of AI models including GPT-5.6 Sol.
Question: Why does Altman believe there is a need to rebuild software systems from scratch?
Answer: Because smart models are revealing far more serious security vulnerabilities than previously expected, prompting startups to entirely redesign routers and operating systems.
Question: How does Sam Altman envision the safest form of superintelligence in the future?
Answer: He favors the presence of one trillion AI models slightly outperforming human intelligence rather than a single model possessing absolute superintelligence, while leveraging the variance in alignment properties among agent teams.
