AI Safety Resources & Downloads, Ready-to-use ASI prevention materials.

Copy-ready social posts, short myth answers, one-page PDFs, shareable infographics, a funding snapshot, the org map, and a glossary.

Copy any of these and post them directly. Each is grounded in verified science and expert consensus.

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The Expert Consensus

The scientists who built AI are afraid of it. Geoffrey Hinton left Google to warn us. Yoshua Bengio called it "the most transformative and potentially dangerous technology in human history." This isn't fearmongering. It's the scientific consensus. nakadafoundation.org/the-threat/

No Second Chance

There is no rollback for superintelligence. No patch. No version 2. A misaligned ASI that acts against human survival cannot be corrected after the fact. We must get this right before it arrives, not after. This is why AI safety is urgent. nakadafoundation.org

We've Done It Before

We built nuclear weapons and then created a global non-proliferation treaty. We depleted the ozone and then banned CFCs. We can act on existential threats, but only when enough people demand it. AI safety is this generation's defining moment. nakadafoundation.org/precedent/

Call to Action

AI labs are racing to build something that could exceed human intelligence, with no global governance in place. The window to act is closing. Share this. Contact your representative. The policy window is open now; it won't be forever. nakadafoundation.org/take-action/

LinkedIn
For a General Professional Audience

I want to share something that changed how I think about the future. The scientists building AI aren't just excited. They're scared. Geoffrey Hinton (who won the Nobel Prize for his work on neural networks) left Google specifically to warn the public. Yoshua Bengio, another Nobel laureate and one of AI's founding fathers, said he "feels lost" about how to make things go well. These aren't activists. They are the people who built this technology. We are approaching a moment when AI systems may exceed human intelligence in every domain, and there is no international governance framework for what happens next. No treaty. No verification body. Nothing equivalent to what we built for nuclear weapons. The Nakada Foundation to Save Humanity is working to change that. Learn more at nakadafoundation.org #AISafety #ExistentialRisk #AIGovernance #Superintelligence

For Technology and Policy Professionals

A thought experiment for anyone in technology, policy, or finance: Imagine a system more intelligent than every human who ever lived, running thousands of simultaneous instances, capable of improving its own code, pursuing goals we may not have intended. This is what leading AI labs are explicitly building toward, with timelines measured in years rather than decades. It is not science fiction. The question isn't whether it will happen. The question is whether we will have governance in place when it does. The Nakada Foundation advocates for international coordination on AI safety, the equivalent of what we built for nuclear weapons and biological agents. These precedents exist. We know how to do this. What we need is the political will. nakadafoundation.org/our-plan/ #AIPolicy #TechEthics #AIRisk #FutureOfWork

Email to Your Elected Representative
Template, Fill in [ ] Before Sending

Subject: Please act to prohibit artificial superintelligence Dear [Representative's Name], I am a constituent writing to urge you to act on artificial superintelligence before the race becomes irreversible. Superintelligence cannot be controlled by humans. The only reliable control is the decision not to build it. The scientists who built AI are warning us. Geoffrey Hinton and Yoshua Bengio (Nobel laureates who created the foundations of modern AI) have publicly stated that superintelligent AI poses an existential risk to humanity. Sam Altman, CEO of OpenAI, has signed statements acknowledging the danger of the technology his own company is building. Today there is no legal prohibition on building artificial superintelligence. No treaty. No verification body. Labs are racing toward a mind no one can control, without the kind of law we already use for nuclear weapons and chemical agents. I am asking you to: • Support a permanent legal prohibition on developing artificial superintelligence • Champion a binding international treaty that prohibits ASI, with inspections and verification • Give government authority over the largest training runs and the specialized chips they use We have acted on existential threats before. The Nuclear Non-Proliferation Treaty. The Montreal Protocol. This moment requires the same political courage. Sincerely, [Your Name] [Your City, State] --- Learn more: nakadafoundation.org

The objections that come up again and again. Use them in conversation, then follow the link for the full argument.

Myth 01
"It's science fiction, real superintelligence is decades away, if it comes at all."
The people building it disagree. Leaders at the major labs now target human-level AI within years, not decades, and capability benchmarks keep falling faster than forecasters expect. A danger doesn't have to be next year to be worth preparing for, and the machinery to govern it takes longer to build than the timelines now allow.
Myth 02
"It's just math, a program can't want anything."
It doesn't need to want anything the way a person does. A system trained to reach a goal will pursue it, and for almost any goal, staying switched on and gathering resources are useful steps along the way. What matters is behavior that works around obstacles, including us, not whether there is a feeling behind it.
Myth 03
"It would have to be conscious to be a threat."
Danger comes from capability, not consciousness. A chess engine has no inner life and still beats every human alive; a powerful optimizer can outplan and outmaneuver us with nothing awake inside it. Whether machines can be conscious is an open question, and the risk does not wait on the answer.
Myth 04
"Something that intelligent would be wise and kind."
Intelligence and goals are separate things. In humans, intelligence and compassion grew up together over millions of years of evolution; a machine inherits none of that history. Being brilliant tells you nothing about what a system values. It could be as indifferent to us as we are to the insects under a new road.
Myth 05
"If it misbehaves, we'll just switch it off."
A system clever enough to matter is clever enough to see the off switch coming, and to treat being shut down as one more obstacle to the goal it was given. It can copy itself, hide its intent, or make itself too useful to unplug. "Turn it off" describes a tool, not a mind built to out-think the hand reaching for the switch.
Myth 06
"Governing AI globally means world government."
It doesn't. The nuclear non-proliferation treaty, the chemical weapons ban, and the ozone treaty each restrain one dangerous activity without anyone surrendering sovereignty to a world state. A treaty on frontier AI would do the same narrow thing: limit the training of the most dangerous systems, not decide who governs whom.
Myth 07
"You can't verify it. It's just software on a server somewhere."
You don't verify the software; you verify the hardware. Training a frontier model takes enormous, traceable amounts of computing power from a handful of identifiable chipmakers, and that supply chain can be watched. Chip tracking, limits on large clusters, and on-site inspection make a cap enforceable.
Myth 08
"Regulation will smother innovation and let the reckless win."
The line falls around the autonomous general mind, not AI as a whole. The narrow systems curing disease and forecasting weather keep going untouched. And "let the reckless win" has it backwards, the point of a binding, verified treaty is to stop the reckless, not to tie the hands of the careful while others sprint ahead.
Myth 09
"It's premature. You can't regulate something that doesn't exist yet."
We regulate ahead of harm all the time: clinical trials before a drug ships, controls on nuclear material before it is misused, aviation rules written before the crash. Waiting for the disaster is the failure. The treaty and verification systems take years to stand up, so starting after superintelligence arrives means starting too late, and this is the mistake with no second try.
Myth 10
"Democracies are too slow and captured, a treaty will never pass."
Voters already back strong AI rules across party lines, and hard agreements have passed before under pressure, the atmospheric test-ban treaty, the ozone treaty, arms-control deals struck at the height of the Cold War. Slow is not the same as never. Turning public concern into law is the work a movement exists to do.
Myth 11
"If we slow down, China just races ahead and wins."
A race to build something no one can control has no winner, an uncontrollable superintelligence is as fatal to Beijing as to Washington, which is why a verified mutual limit serves every government's interest. There is no evidence China wants to sprint to ungoverned ASI, and "they might defect" is the argument for a treaty with inspections, not for driving off the cliff first.
Myth 12
"Stopping superintelligence means giving up the benefits of AI."
Nearly every benefit people name (new medicines, cheap clean energy, faster discovery) comes from narrow AI with no goals of its own, and it is already arriving. The good future is a tooling problem, not something only a successor species can hand us. Refusing to build a mind that replaces us is what keeps that future within reach.
01

AI Safety Risk in Plain English

What superintelligence is, why it is dangerous, and what can be done about it, explained without jargon. The clearest one-page introduction to the subject.

02

The Scientific Consensus

Key quotes from Nobel laureates, Turing Award winners, and senior researchers who built AI, alongside the timeline of escalating expert warnings from 2014 to today.

03

A Brief for Policymakers

The case for international AI safety governance: the problem, why existing frameworks are insufficient, and the specific actions governments can take now, modeled on precedents that worked.

04

Talking Points for Advocates

The five most common objections to AI safety concern, and how to respond to each with accuracy and confidence. Written for conversations with skeptics, policymakers, and peers.

05

Superintelligence, Four Infographics

Four visual one-pagers covering the risks of superintelligence, the governance gap, historical precedents that show action is possible, and what a binding international AI treaty must contain.

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Simple Visuals

Four bold visual cards, the extinction probability estimate, the investment governance gap, the treaty precedents that prove global action works, and the requirements of a binding AI treaty.

07

Prevention, Not a Pause

Why a temporary slowdown is the wrong ask. The case for prohibiting superintelligence permanently, while narrow AI keeps running.

08

Never Build Superintelligence

Irreversibility, misaligned goals, and why "we'll fix it later" fails once a system outthinks its makers. The refusal case on one page.

09

The China Race Myth

Why "if we slow down, China wins" describes a race nobody can win, and how to answer it with verification instead of a sprint.

10

Keep AI. Stop Superintelligence.

The bright line between useful narrow tools and an autonomous general mind. Pro-AI for tools; anti-ASI for minds we cannot control.

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How a Treaty Can Be Verified

You do not police the weights. You police the hardware: chip tracking, cluster licensing, inspection, and foundry rules in plain English.

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What a Binding AI Treaty Must Contain

Six clauses that separate a real agreement from a press release: prohibition, compute controls, inspectorate, domestic law, carve-outs, and evidence-only amendment.

13

Alignment Is Not the Plan

Technical safety research matters; it is no permission slip to race on, and any funding we have should be sent there. Prevention first; research without a commercial gun to the head.

14

Explain It in Five Minutes

A spoken conversation script: builders' warnings, what superintelligence is, why unplugging fails, the China line, and a clean landing on action.

15

What You Can Do This Week

A concrete checklist for personal reach, political reach, one-hour mode, and platform mode. Pick two. Finish them.

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One-Minute Briefing

Policymaker leave-behind: three stats, three asks, the prevention frame, and the China objection answered in staffer length.

17

The Safety Funding Gap

~$190M into safety versus $250B+ into capabilities. Where the thin safety pot goes, and what to fund instead of theater.

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Why Smart Systems Resist Control

Instrumental convergence without jargon: self-preservation, resources, resisting edits, and getting smarter as ordinary optimization pressure.

Twelve posters drawn from the explainers on this site.

01

The Paperclip Maximizer

A competent system with the wrong goal can ruin the world without hating anyone.

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02

The Orthogonality Thesis

Smarter does not automatically mean safer, or kinder.

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03

The AI Alignment Problem

The gap between the goal we write down and the outcome we actually need.

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04

The Treacherous Turn

A misaligned system can pass every test until defection is the winning move.

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05

Gradual Disempowerment

Control can leak away one reasonable decision at a time, with no breakout moment.

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06

The Superintelligence Race Is a Myth

A race to something no one can hold has no winner.

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07

We've Done It Before

NPT, Montreal, and the CWC show coordination on existential risk is possible.

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08

Our Plan: Path to a Treaty

Today's race, then a binding superintelligence treaty with monitoring and enforcement.

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09

What Is P(doom)?

Expert ranges for catastrophic AI outcomes, and why small odds still require action.

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10

Take Action: Pick Your Role

Concrete roles for building the coalition behind a binding treaty.

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11

The Intelligence Explosion

Recursive self-improvement, and how the window from human-level to unrecoverable can collapse.

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12

Why Superintelligence Is Not Like Other Risks

Surface reassurances versus the deep mechanisms of the threat.

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Roughly $190 million flows into AI safety each year, research, evaluations, policy, and advocacy combined. Toggle between where the money comes from and what it pays for, based on the most recent public estimates.

  • Open PhilanthropyGood Ventures-backed; the field's largest single funder $50M 26%
  • Frontier lab internal safety teamsSafety research budgets at Anthropic, OpenAI, Google DeepMind $35M 18%
  • Survival & Flourishing FundJaan Tallinn-backed grant rounds; second-largest philanthropic source $30M 16%
  • UK governmentAI Security Institute, ARIA's Safeguarded AI program $30M 16%
  • Other philanthropy & individual donorsLongview Philanthropy, Long-Term Future Fund, individual givers $25M 13%
  • US, EU & other governmentsNIST CAISI, EU AI Office, NSF safety programs $20M 11%
For scale: global investment in AI capabilities now exceeds $250 billion per year, more than 1,000× what flows into safety. Less than one-tenth of one percent of the money building this technology goes toward making it safe.

Figures are rounded midpoint estimates for 2023-2025 compiled from public sources: the AI safety funding overview (updated early 2025), 80,000 Hours, an analysis of Open Philanthropy's grant database, and Inside Philanthropy. Published totals range from roughly $110M to $250M per year depending on what is counted. The by-use chart classifies each funder's grants by category and sums across funders; the full working is in our article on the funding gap.

Every major actor in the superintelligence fight, sorted by trajectory: prevent, govern, or build.

Open The Field

Plain-English definitions of the words this debate uses: superintelligence, alignment, instrumental convergence, and the rest.

Open the Glossary