Public transcript

OpenAI chief Sam Altman raises AI risk warning at UN

By: The Independent
Length: 9 min
Language: English
Text from: the video's captions
Transcribed: 13 October 2026

Read the full transcript Open on YouTube

Notes in English.

Summary

Sam Altman addresses the UN, warning that AI progress could bring either a renaissance of creativity and discovery or an industrial revolution of upheaval. He identifies two major risks: losing control of the future to AI, and AI concentrating too much power in too few hands. He outlines OpenAI's three principles for development, highlights recent math breakthroughs including a model solving the Navier-Stokes equations, and calls for democratic decision-making plus complementary national and international frontier AI standards, incident reporting, and secure information-sharing channels.

Key points

Sam Altman says AI can either bring a new renaissance of creativity and discovery or a new industrial revolution of upheaval and disarray.
He identifies two major risks: losing control of the future to AI, and AI concentrating too much power in too few hands.
He states that whether the risk of catastrophe is 10% or 0.1%, none of these levels are remotely acceptable.
OpenAI has unilaterally slowed down in the past and will do so in the future rather than accept too much technological risk.
He describes OpenAI's math model progress, culminating in a model solving one of the millennium prize problems, the Navier-Stokes equations.
He argues the most important AI decisions cannot be made by labs in San Francisco alone and must be shaped through democratic processes and accountable governments.
He calls for complementary national and international frontier AI standards, incident reporting protocols, and secure channels to share vulnerabilities.
He says standards should not lock in incumbents and must support open and closed model developers, new entrants and established labs.

Questions it answers

00:00Renaissance or upheaval

What choice does Sam Altman say we face with AI?

He frames it as a choice between a new renaissance of creativity and discovery or a new industrial revolution of upheaval and disarray, with rapid model progress compressing the timeline and raising the stakes.

AI should give people more agency, not turn them into cogs in a giant machine.
Some things AI cannot and should not automate.

02:06Two major risks

What two ways could AI progress go very badly?

Losing control of the future to AI as systems move faster than people can follow or intervene, and AI concentrating too much power in too few hands so one actor can impose its worldview on everyone else.

Recursive self-improvement could rapidly accelerate AI progress.
No catastrophe risk level, 10% or 0.1%, is remotely acceptable.
OpenAI has unilaterally slowed down in the past and will do so again.

04:03OpenAI's three principles

What three principles guide OpenAI's approach?

People must remain at the center of AI decision-making, benefits must be by people and for people, and the technology must empower people individually, with OpenAI as builders rather than heroes of the story.

Alignment means systems reliably remain under human control and reflect human values.
The right tools make people more capable rather than replacing human agency.

06:02Math breakthroughs

What math milestones has OpenAI's models reached?

Models went from grade school math three summers ago to a gold level medal at the most prestigious international math competition last summer, and a few weeks ago one model solved the Navier-Stokes equations, a millennium prize problem.

The Navier-Stokes equations are used for aircraft design, weather forecasting, and blood flow study.
The goal is empowering discovery that improves health care and living standards.

06:40Democracy and cooperation

Why does Altman say AI decisions need democratic and international input?

He says companies must not substitute for the democratic process, the most important decisions cannot be made by labs in San Francisco alone, and competing countries must come together for shared interests as they have with powerful new technologies before.

Decisions must be shaped through democratic processes and accountable governments.
This must be a time of international cooperation despite competition.

08:00Standards and reporting

What global mechanisms does Altman call for?

Complementary national and international frontier AI standards, accurate and speedy incident reporting and classification protocols, and secure channels among governments, infrastructure operators, and experts to share vulnerabilities, with standards that do not lock in incumbents.

Common standards let countries compare evidence, verify compliance, and share understanding.
Standards must support open and closed model developers, new entrants and established labs.
Each government decides how to incorporate standards into its own legal system.

08:40The crossroads

What are the two paths Altman says lie ahead?

One path leads to concentrated power, opaque decisions, and people feeling AI is done to them; the other leads to AI that works for people, guided by democratic institutions, with more people participating in the future.

The preferred future is one of realized potential, excitement, and wonder.
OpenAI is open to better ideas and ready to work with others on the path forward.

Notes

The choice in front of us

Sam Altman frames AI as either a new renaissance of creativity and discovery or a new industrial revolution of upheaval and disarray.
He argues AI should give people more agency in an ever more complex world, not turn people into cogs in a giant machine.
Some things AI cannot and should not automate; it should be built for people, not simply to speed up machines for their own sake.

Two ways AI progress could go badly

First, we could lose control of the future to AI, with systems moving so fast that people can no longer follow what is happening or intervene when needed.
He highlights recursive self-improvement: as building AI becomes more automated, the pace of AI progress could accelerate rapidly.
Second, AI could concentrate too much power in too few hands, letting one person, company, or country impose their worldview on everyone else.
Whether the risk of catastrophe is 10%, 1%, or 0.1%, none of these levels are remotely acceptable, and we should not train models we cannot keep under human control.

OpenAI's three principles

People must remain at the center of AI decision-making; alignment means systems reliably remain under human control and reflect human values.
The benefits of scientific progress and economic growth must be by people and for people.
The technology must empower people individually; OpenAI are builders, not the heroes of this story.

Recent progress in math

Three summers ago models were okay at grade school math; two summers ago good at high school competitions; last summer a gold level medal at the most prestigious international math competition.
A few weeks ago, one model solved one of the millennium prize problems, the Navier-Stokes equations, used for aircraft design, weather forecasting, and blood flow study.

Governance and international cooperation

Companies must not substitute for the democratic process; the most important decisions cannot be made by labs in San Francisco alone.
He calls for complementary national and international frontier AI standards, incident reporting and classification protocols, and secure channels among governments, infrastructure operators, and experts.
Standards should not lock in incumbents and must support open and closed model developers, new entrants and established labs.

The crossroads

One path leads to concentrated power, opaque decisions, and people feeling AI is done to them; the other leads to AI that works for people, guided by democratic institutions.

Text from the video's own captions. Summary and notes written by AI from the transcript, so check anything important against the recording.