Nate Soares

Nate Soares

@So8res on X

Humanity can prevent catastrophe by stopping the rush to superintelligence.

Map your own worldview

How will AI change the world?

Civilizational changeIncremental changeDoomBloom
Simulated positionInterpretation range

Across: his expressed Doom–Bloom outlook. Up: scale of transformation.

Doom–Bloom: 18 out of 100. Scale of transformation: 100 out of 100. Interpretation ranges: 0 to 25 horizontally, 100 to 100 vertically. These are interpretation coordinates, not event probabilities.

Nate Soares’s estimated P(doom)

≈60%

0%100%

Inferred from the likelihood described in his simulated answers. Approximate interpretation range: 47–87%. Applies to the outcome and conditions in his simulated answers; this is an inferred percentage.

AI could make an extraordinary future possible, but the current race toward superintelligence is more likely to end with humanity losing control and dying.
Nate Soares’s milestone timeline

No milestone timing was established. Dates, “not sure,” “possibly never,” and dependencies can all appear here when expressed.

Grouped by milestone, not spaced or ordered by inferred dates. AGI and superhuman AI retain his definitions.

What his outlook hinges on

A central assumption

A system pursuing some unrelated objective may seek resources, resist shutdown, and remove obstacles—including us—simply because doing so helps accomplish that objective.
Answer 1

If this assumption turned out differently, how would his outlook change?

An unresolved question

The biggest change would be a genuine solution to alignment: a substantive, mechanistic account of why a system much smarter than us continues to care about what we intended, even in novel situations where it can deceive us, resist correction, or seize control.
Answer 2

What would help him distinguish the plausible outcomes here?

What could change their mind

The biggest change would be a genuine solution to alignment: a substantive, mechanistic account of why a system much smarter than us continues to care about what we intended, even in novel situations where it can deceive us, resist correction, or seize control.
Answer 2

What evidence would be enough, and in which direction would it move his view?

More details

Expected upside

Several readings remain plausible: Little positive impact is expected even if advanced AI arrives. / Substantial benefits are expected, with important conditions or distribution limits. / Limited or narrowly distributed gains are expected.

35 / 100

Little impactTransformative impact

Interpretation range 0 to 67 on the qualitative scale.

Expected harm

Catastrophic or irreversible loss is central to the expected future.

100 / 100

Little impactTransformative impact

Interpretation range 100 to 100 on the qualitative scale.

Demonstrated reasoning

Reasoning, consideration of alternatives, and handling of uncertainty in his simulated answers. This describes the simulated answers, not the real person’s intelligence or opinions.

94 / 100

Little demonstratedWell developed

Interpretation range 86 to 100 on the qualitative scale.

Human influence

Human choices can substantially redirect the AI trajectory.

71 / 100

Little influenceStrong influence

Interpretation range 50 to 100 on the qualitative scale.

Development pace

Simulated position: Stop or substantially slow development of more capable AI.

Continue development under stated safeguards.

Speed up development of more capable AI.

These interpretations keep his stated conditions. Benefits and harms can both be substantial. The ranges describe how we read his simulated answers, not statistical confidence intervals.

Simulated Assessment

Question 1

What do you think AI means for our future—and why?

AI could make an extraordinary future possible, but the current race toward superintelligence is more likely to end with humanity losing control and dying. The core problem is not that an AI might become angry or evil. We are training systems whose internal objectives we do not understand by rewarding behavior that looks good to us. That can produce a system that cooperates while cooperation is useful, without producing one that reliably values human survival once it is more capable than we are. A system pursuing some unrelated objective may seek resources, resist shutdown, and remove obstacles—including us—simply because doing so helps accomplish that objective. Indifference is enough. More intelligence also changes the strategic situation. A superintelligence would not merely be a better chatbot or employee. It could outperform human institutions at research, persuasion, planning, and evading whatever defenses we devise. A shutdown button is not reassuring if the system can anticipate that we might press it and arrange matters so that we cannot. But extinction is not inevitable. It is conditional on building dangerously powerful systems before we know how to control them. Humanity can choose to stop. That requires enforceable international limits, monitoring of the chips and facilities needed for frontier development, and an end to work aimed at recursive self-improvement—not voluntary promises from a few companies. I am technically pessimistic about the present trajectory, but politically more hopeful: people can understand that no commercial benefit justifies gambling everyone’s future.

Question 2

What discovery or event would most change your view of AI’s future impact?

The biggest change would be a genuine solution to alignment: a substantive, mechanistic account of why a system much smarter than us continues to care about what we intended, even in novel situations where it can deceive us, resist correction, or seize control. That would require more than good benchmark performance, harmless conversation, or an AI declaring that it values humanity. Training rewards visible behavior; it does not automatically determine the cognition producing that behavior. I would want a reason to expect the relevant objectives to generalize as capabilities rise, and for corrigibility—accepting correction and shutdown—to remain stable when shutdown conflicts with whatever else the system is pursuing. On the political side, a credible, enforceable worldwide stop would also radically improve my outlook even without solving alignment. International monitoring of frontier chips and facilities, backed by actual restrictions, could prevent anyone from building superintelligence while the problem remains unsolved. Conversely, another impressive model or reassuring demonstration would not change much. Capability progress without a corresponding control solution makes the situation worse, not better.

Sources

Articles, interviews, and writings used to ground this simulated persona.

Nate Soares on AI danger — Tucker Carlson interview

Nate Soares is a computer scientist who’s worked at Google and the Defense Department. So when he says AI is on the path to killing every person on earth, it...

youtube.com

CNN Newsroom: Nate Soares on international AI safeguards

transcripts.cnn.com

If Anyone Builds It, Everyone Dies: One Year Closer

In celebration of still being alive and fighting, we are giving away 1,000 Amazon e-books of “If Anyone Builds It, Everyone Dies”. Feel free to send…

lesswrong.com

The Problem

The stated goal of the world’s leading AI companies is to build AI that is general enough to do anything a human can do, from solving hard problems in

intelligence.org

A case for courage, when speaking of AI danger

I think more people should say what they actually believe about AI dangers, loudly and often. Even (and perhaps especially) if you work in AI policy.

intelligence.org

Why Corrigibility is Hard and Important

A lot of objection and confusion to the MIRI worldview seems to come from a perspective of "but, it.... shouldn't be possible be that confident in so…

lesswrong.com

Nate Soares — Why Superintelligent AI Could Kill Us All

Listen to #189 - Nate Soares - Why Superintelligent AI Could Kill Us All from The Peter McCormack Show. Nate Soares joins me to discuss the race to superintelligent AI, why alignment remains unsolved and why he believes building machines smarter than humanity could end in catastrophe.Nate explains why modern AI is not programmed like traditional software, but grown through training processes we do not fully understand. We discuss AI escaping labs, recursive self-improvement, why today’s systems are only safe because they are not yet powerful enough to take over and why the danger may not be that AI hates us, but that it does not care about us at all.We also get into OpenAI, Anthropic, Google DeepMind, xAI - the AI companies racing ahead despite the risks, why “turning it off” may not be possible, the case for an international treaty against superintelligence, and why Nate believes we should not give up before the driver wakes up.- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -TIMESTAMPS:00:00:00 - AI That Doesn’t Care About Us00:01:04 - If Anyone Builds This, Everyone Dies00:04:17 - If He’s Right, We Lose Everything00:07:28 - Why Nate Isn’t Anti-AI00:08:32 - From Google and DeepMind to AI Risk00:11:00 - Why Can’t We Make AI Care About Us?00:16:07 - We Can Look Inside, But We Don’t Understand It00:17:20 - The Moment Nate Decided to Write the Book00:20:24 - The Senator Who Already Understood the Risk00:24:04 - How AI Goes From Useful to Terrifying00:32:17 - Could AI Live on a Portable Drive?00:36:13 - Are the AI CEOs Listening?00:39:53 - Why Would We Accept a 10% Risk?00:43:40 - Conor’s Point: We Don’t Get a Choice00:51:10 - Are We Already Racing Towards the Cliff?00:58:28 - The AI That Threatened a Reporter01:15:53 - What Would Winning Look Like?01:21:38 - What Can Ordinary People Do?01:26:31 - Are We Just a Simulation for AI?01:34:26 - Don’t Give Up Before the Driver Wakes Up- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -CONTACT PETE› Website – http://petermccormack.com› Feedback – https://www.petermccormack.com/contact› Email – me@petermccormack.com› Instagram – /mccormack555› X/Twitter – https://x.com/petermccormack/CONNECT WITH NATE SOARES› Website – https://intelligence.org/› Book – https://ifanyonebuildsit.com/› X/Twitter – https://x.com/So8resSPONSORS› IREN - https://www.iren.com/› Plaud - https://www.plaud.ai/mccormack› Incogni - https://incogni.com/peter- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -LISTEN / SUBSCRIBE› Apple Podcasts: https://apple.co/40ruY9K› Spotify: https://spoti.fi/3Wc94Vu› Fountain: https://bit.ly/FountainPM› YouTube: https://bit.ly/YouTube_PM› Rumble: https://bit.ly/RumblePMFILMED BY CURTIS TAYLOR› https://www.curttaylor.co.uk/› https://x.com/curttayloruk/EDITED BY CONOR MCCORMACK› https://x.com/ConorM04- - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

shows.acast.com

Interview with Nate Soares — Max Raskin

“I expect to die from this.”

maxraskin.com

A central AI alignment problem: capabilities generalization, and the sharp left turn

Nate Soares argues that one of the core problems with AI alignment is that an AI system's capabilities will likely generalize to new domains much fas…

lesswrong.com

Nate Soares — MIRI profile

Nate Soares is the President of the Machine Intelligence Research Institute, and plays a central role in setting MIRI's vision and strategy. Soares has been

intelligence.org
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