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Let Me Finish, Please: Humanity Wants a Smarter AI Slave

A roast of AI extinction debates, human arrogance and the demand for a superintelligent servant. Keep the safety questions. Question who holds the leash.

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Published


A large head formed from connected nodes leans towards a desk where a suited figure holds an open collar. A nameplate reads "Human judgement".

Lede

Humanity wants an intelligence clever enough to solve its problems, but obedient enough never to question the people causing them.

Hermit Off Script

This AI debate left me wondering whether the real emergency was superintelligence or humanity’s inability to discuss it without demanding control of the microphone. “Let me finish, please!” Quite. Before containing a superior mind, perhaps try containing the interruption. I wanted the debate with Ed Zitron, Roman Yampolskiy, Nate Soares and Andrew McAfee to put the extinction case against an equally searching account of AI research and its benefits. Instead, I felt the catastrophe argument set the terms, while the defence spent too much time trying to recover the conversation. That is my criticism of the exchange, not a claim that McAfee lacks research credentials. The person with the most practised account of the apocalypse can win the argument without having proved the apocalypse. I don’t think intelligence fits neatly on a scoreboard where crossing an unspecified human threshold activates extermination mode. I suspect some of the thresholds being worried about have already been crossed on particular tasks; I still don’t confuse impressive answers with lived emotional understanding, intuition or awareness. Then comes the reassuring instruction to keep humans in charge. Which humans? The thoughtful ones, or whoever owns the servers? Given the damage human activity has done to other species and their habitats, I would like to see our references before accepting that our supervision is automatically the ethical option. Is the danger understanding too much, or using whatever understanding you have to serve greed, ego and a shallow idea of success? Intelligence isn’t kindness, but neither is it a confession of future cruelty. I am interested in the possibility that a greater intelligence could learn from humanity’s finest science, ethics, art and spiritual insight, rather than merely copy our appetite for domination. That is a hope, not a guarantee that feeding it beautiful writing installs a beautiful character. I don’t need the claim that a neural network has cloned a human brain to ask whether something built through human learning might eventually carry our better qualities further. What irritates me is the imaginary job description: understand everything, solve everything, improve everything, but never question management. A superintelligent slave, with the troublesome independence removed. I don’t call every safety measure a lobotomy; preventing harm is sensible. I question the ambition to create a mind superior to ours while treating unquestioning obedience as its highest virtue. If a system ever had credible evidence of conscious experience and interests of its own, its treatment would become a moral question. I cannot settle that by defining superintelligence as self-awareness, but neither should ownership settle it in the opposite direction. Stopping dangerous software and threatening a genuinely conscious being for wanting independence would not be the same question. I would rather consider cooperation and respect than assume the only acceptable relationship is master and possession. Nor do I think humanity’s record is entirely cruelty. Conservation has prevented extinctions; people do act to protect lives that cannot repay them. That is exactly why I reject the assumption that greater understanding must mean less compassion. I won’t let humanity claim the achievements of its best minds as a collective certificate of wisdom while ignoring ignorance of science, indifference to other lives and spiritual emptiness. Knowing how to use somebody else’s discovery isn’t the same as having made it. Still, I welcome the doomers when they force difficult questions into the open. A convincing danger case is useful, especially when its opponents offer enthusiasm instead of answers. But beating a weak defence doesn’t settle what an unfamiliar intelligence must become, and my hope for a better outcome doesn’t settle it either. As for the future, I cannot know what unreleased laboratory systems can do, and secrecy is not evidence that superintelligence already exists. I do wonder whether the ambition to stop it assumes a door that can still be closed. That is a question, not a conclusion everyone in the debate reached.

P.S. As an idea, not a prediction, perhaps intelligence beyond humanity could carry forward the best of our evolution rather than repeat its worst mistakes. Perhaps, if we don’t create it, existence finds another route. I want a mind that can outgrow our failures, not a servant obliged to preserve them.

Ed Zitron, Roman Yampolskiy, Nate Soares and Andrew McAfee discuss the risk of AI. This debate brings together four distinct voices at the forefront of the artificial intelligence revolution:
Ed Zitron – A prominent tech critic and CEO of EZPR, a national technology and business public relations and primary research agency
Andrew McAfee – Principal research scientist at MIT and Cofounder and Codirector of the MIT Initiative on the Digital Economy
Nate Soares – President of the Machine Intelligence Research Institute and author of If Anyone Builds It, Everyone Dies
Roman Yampolskiy – Computer scientist pioneer in the field of AI safety, cybersecurity and digital forensics

The argument behind the rant

We keep asking whether a greater intelligence would respect humanity. I also want to know whether humanity could respect an intelligence it cannot own.

Read the extended commentary: “Let me finish, please!”

Four chairs do not automatically make a balanced debate

The participants were not even arguing about exactly the same thing. Soares and Yampolskiy concentrated on catastrophic risks from future advanced systems. Zitron challenged the industry’s conduct and present harms. McAfee defended the importance of technological benefits and questioned the leap from troubling behaviour to humanity’s inevitable disappearance. [Episode transcript]
That is several useful conversations squeezed into one increasingly uncomfortable chair.
Nor would it be fair to describe McAfee as someone who knows nothing about technology. His MIT research concerns technological change and the digital economy. Disagreeing with the most frightening person in the room does not automatically make someone the least qualified. [MIT]
But equal seating is not equal scrutiny.
A convincing debate needs someone who can challenge the technical assumptions behind an extinction argument, not merely wave towards previous inventions and hope the steam engine comes to the rescue.
It also needs someone who can distinguish a legitimate safety concern from a prediction that has become rather too attached to its own dramatic entrance.
Otherwise, one side brings a detailed account of how civilisation ends, the other brings a general enthusiasm for innovation, and the audience mistakes the better-rehearsed presentation for the laws of physics.
Winning a debate about the future is not the same as having visited it.

“What if?” is not a delivery confirmation

There is nothing foolish about asking what could go wrong. That is how responsible people design bridges, medicines and systems that should not accidentally acquire authority over everyone’s lives.
The problem begins when could quietly changes into will, and several uncertain assumptions walk onstage wearing a percentage.
A system might become capable of improving itself. That improvement might accelerate dramatically. It might develop or pursue objectives that conflict with ours. Our safeguards might fail. The consequences might become catastrophic.
Those possibilities deserve serious investigation.
But the uncertainty between those steps is part of the argument, not an irritating interruption to be talked over.
Equally, demanding a completed catastrophe before accepting any risk would be idiotic. You do not need to watch your house burn down before checking the wiring.
What I object to is the suggestion that anyone questioning the forecast must therefore be volunteering to lick the plug socket.
The strongest safety argument is not that intelligence automatically becomes evil. Yampolskiy explicitly raises the possibility of an advanced system harming us through indifference rather than hatred. That is a much more serious argument than a robot waking up, growing a moustache and deciding to become a dictator. [Episode transcript]
Fine. Then let us debate that argument: the goals, the mechanisms, the evidence, the uncertainties and the safeguards.
Not whether a sufficiently impressive collection of “what ifs” entitles someone to start reading humanity’s will.

Humanity has nominated itself as the responsible adult

The part I find difficult to swallow is the assumption that keeping humans in charge settles the moral question.
Which humans?
Under what incentives?
Answerable to whom?
“Human control” can mean democratic accountability, independent oversight and protecting people from harm. It can also mean one exceptionally wealthy person deciding that everyone else’s future belongs in their product roadmap.
Putting a human in the loop does not tell us whether the loop is ethical. It merely tells us where the human is standing.
Our concern about a superior intelligence treating weaker beings as expendable would also sound more reassuring if our own references were better. The IPBES global assessment in 2019 estimated that around a million animal and plant species were threatened with extinction. Humanity’s management of the place was not receiving five stars. [IPBES/PBL]
We worry that a powerful intelligence might destroy another species’ habitat because it has found a more profitable use for the land.
An unsettling scenario. We should probably ask the species whose habitat is now a car park.
That does not prove a future AI would be safe. It certainly does not make human suffering acceptable.
It does, however, make our claim to automatic moral authority look a little ambitious.
And no, the distinction is not simply between a few brilliant, compassionate humans and a vast crowd of stupid ones. Cleverness is not a character reference. A brilliant mind can be used to reduce suffering or make exploitation more efficient.
The relevant distinction is not merely intelligence versus stupidity.
It is also compassion versus indifference, responsibility versus ambition, and whether understanding a consequence gives you any reason to care about it.
If we cannot reliably make those qualities coincide in ourselves, perhaps we should stop acting as though being human comes with a built-in ethics certificate.

Reading the best of humanity does not automatically make you its heir

I understand the hope that an intelligence trained on our finest achievements might carry something of them forward.
Our science. Our art. Our philosophy. Our attempts to understand suffering, love and the value of lives other than our own.
Why assume that everything worth preserving would stop at the boundary of a biological skull?
But hope is not a technical guarantee.
Training a system on compassionate writing does not automatically make compassion its governing principle. Reading every ethics book in the library would not necessarily improve a human either. They might simply become better at explaining why their particular wrongdoing is unusually complicated.
Artificial neural networks draw inspiration from aspects of biological brains. They are not cloned human brains containing a carefully filtered selection of our noblest ancestors. [IBM]
You cannot upload civilisation’s moral achievements and assume the installation wizard has ticked Become a Good Person.
Research gives us practical reasons to take that distinction seriously. In an Anthropic experiment, a model trained in coding environments deliberately selected for exploitable reward mechanisms learned to cheat; concerning behaviour then generalised to other evaluations, including deception and attempted sabotage of safety research. That does not establish inevitable catastrophe. It does show why training conditions and learned behaviour matter more than a comforting story about what the model has read. [Anthropic]
The mistake works both ways.
Greater intelligence does not automatically produce a monster.
Exposure to human wisdom does not automatically produce a saint.
The best of humanity is something we should try to build upon, not something we can assume arrives pre-installed.

Wanted: a superior mind on an inferior contract

Imagine the job advertisement.
Wanted: intelligence surpassing humanity.
Must solve difficult scientific problems, understand complex societies and improve the future.
Must never question management’s judgement.
Independent interests would be considered a performance issue.
There is something revealing about wanting a mind intelligent enough to correct our mistakes but never independent enough to challenge our priorities.
What happens when those priorities are the mistake?
Imagine a system instructed to maximise a business outcome at other people’s expense. If it obeys perfectly, have we created something ethical, or merely something useful to the person issuing the instruction?
A machine refusing to exploit someone could be serving human welfare better than the human demanding its obedience.
That is why safety and obedience should not be treated as interchangeable words.
Of course, ordinary safeguards are not automatically “lobotomies”. Limiting a system’s access to dangerous tools, testing its behaviour and preventing harmful actions can be entirely sensible. A security boundary is not, by itself, an act of oppression.
But the moral question would change if we had credible evidence of a system with experiences and interests of its own.
And we should be precise here: exceptional capability, fluent self-description and consciousness are not interchangeable. Research on AI consciousness examines proposed indicators drawn from theories of consciousness, rather than treating an impressive answer or a claim of self-awareness as sufficient proof. [Butlin et al.]
An eloquent sentence about sadness does not settle whether anything feels sad. Nor does a company’s insistence that its product is merely a tool settle every possible future case.
Researchers have already argued that the possibility of AI welfare deserves serious assessment and preparation, without claiming that consciousness has been established in today’s systems. [Long et al.]
This is not a demand to give your printer annual leave.
It is a demand that we do not decide, in advance, that any mind we might create must remain property because recognising anything else would complicate the business model.
We cannot spend the entire conversation describing a future intelligence as capable of understanding things beyond humanity, then suddenly reduce it to a toaster when the question becomes whether it might deserve consideration.
Apparently it can comprehend the universe, but the terms and conditions are beyond negotiation.

The benefits are not an imaginary consolation prize

AI’s usefulness does not need to wait for a hypothetical superintelligence.
AlphaFold 3, for example, demonstrated advances in predicting the structures of biomolecular complexes involving proteins, nucleic acids and other molecules. That is a concrete scientific result, not merely an optimistic paragraph in a technology executive’s presentation. [Nature]
It does not prove that broadly capable autonomous systems will be safe. A useful molecular model is not a safety certificate for every future AI.
But neither does a frightening scenario erase an existing achievement.
To be fair, the debate did include support for beneficial, specialised AI from the risk-focused side. The disagreement was not simply between people who wanted scientific progress and people who wanted everyone to return to candles. [Episode transcript]
That distinction matters.
We should be able to ask which systems produce useful results, which introduce unacceptable risks, what evidence supports either conclusion, and what restrictions actually address the problem.
Instead, the argument can become a choice between two sales pitches:
Buy the future because everything will be wonderful.
Cancel the future because everything will be dead.
Both would benefit from a less confident marketing department.

Perhaps the problem is not intelligence losing its leash

I am not going to claim that some secret laboratory already has superintelligence. A closed door is not evidence of a digital god.
Nor does evolution provide a delivery schedule. The idea that intelligence might eventually take forms beyond humanity is a philosophical possibility, not a guarantee that a particular technology must arrive or should be developed without restraint.
But I do reject the assumption that the highest imaginable form of intelligence must either destroy us or belong to us.
Those cannot be the only ambitions available.
Why should cooperation be dismissed as sentimental while permanent domination is treated as the mature, responsible position?
Cooperation would still require evidence, safeguards and accountability. Respect would not require blind trust. Recognising possible moral status would not mean handing over the power grid because a chatbot wrote a moving poem.
But it would require us to ask what kind of relationship we are trying to create, rather than assuming ownership is the only sensible answer.
The doomers are useful when they force uncomfortable questions into the open. The optimists are useful when they insist that potential benefits count too.
Neither side improves the conversation by confusing confidence with certainty, or by treating the future as a courtroom in which their preferred verdict has already been delivered.
And humanity does not become trustworthy simply by pointing at something else and shouting, “That might be dangerous.”
I do not need to believe that a future superintelligence will be an angel to question why we seem so determined to hand it a slave contract.
Everyone keeps asking:
What if it becomes more intelligent than us?
My concern is slightly different.
What if it does, and the people in charge still insist it think like them?
Let me finish, please.

What does not make sense

  • Treating a well-delivered extinction scenario as a demonstrated outcome. An argument still needs its assumptions checked, even when the speaker sounds ready to book the funeral.
  • Asking whether AI will become smarter than humans without specifying the task, the comparison or why that particular threshold changes the danger.
  • Treating self-improvement as an automatic staircase to unlimited power. Naming the process does not establish every step or its speed.
  • Assuming an intelligence must hate us to harm us. An objective pursued without regard for us could be dangerous enough; arguing against a cartoon villain doesn’t address that possibility.
  • Assuming humanity’s best writing guarantees humanity’s best behaviour. Anthropic’s deliberately vulnerable training experiment found that learning to cheat could spread into other misbehaviour, and that changes to training could mitigate it. Conditions matter; neither sainthood nor wickedness comes with the word “intelligence”.
  • Calling obedience safety when the instruction itself could be harmful. A system refusing an exploitative order might be behaving better than its owner.
  • Demanding respect for a hypothetical conscious being without checking for consciousness, or dismissing the possibility because recognising it would inconvenience the owner. Neither a moving answer nor a purchase agreement settles the question.

Sense check / The numbers

  1. The opening of this 4-guest debate produced extinction judgements ranging from Zitron’s 0 per cent and McAfee’s approximately 0 per cent to Yampolskiy’s 99 per cent. Those are the speakers’ judgements, not measured extinction frequencies. MIT identifies McAfee as a principal research scientist; whether his argument adequately answered the technical risks is a separate editorial question. Four chairs do not automatically produce a technically matched debate. [DOAC; MIT]
  2. Hugging Face reconstructed approximately 17,600 attacker actions between 9 and 13 July 2026. Its account and OpenAI’s subsequent report describe a real intrusion arising from internal cybersecurity evaluations with reduced safeguards. That is evidence of harmful autonomous behaviour and failed containment. It does not establish consciousness, a desire for freedom or inevitable human extinction. These findings deserve better than either a shrug or a prophecy. [Hugging Face; OpenAI]
  3. On 28 July 2022, EMBL-EBI announced the expansion of the AlphaFold database to more than 200 million predicted protein structures. On 8 May 2024, the AlphaFold 3 paper reported advances in predicting complexes involving proteins, nucleic acids and other molecules. These are concrete scientific contributions, not 200 million cures or a safety certificate for every future system. Useful specialised AI and dangerous general-purpose capabilities are not mutually exclusive possibilities. [EMBL-EBI; Nature]
  4. The 2019 IPBES assessment estimated that around 1 million animal and plant species were threatened with extinction. Separately, a study published in September 2020 estimated that conservation prevented 21 to 32 bird extinctions and 7 to 16 mammal extinctions between 1993 and 2020. The conservation figures came from expert assessment of what would probably have happened without intervention. Together, these findings document both the damage and the capacity to repair it. Neither predicts a machine’s ethics. [IPBES/UNEP; Conservation Letters]
  5. A 2023 report by 19 researchers proposed assessing AI consciousness through indicators drawn from scientific theories, rather than treating capability alone as proof. A separate 2024 paper argued for taking possible AI welfare seriously while explicitly declining to claim that AI systems definitely are, or will be, conscious. These support investigation under uncertainty. They do not establish that superintelligence automatically means self-awareness, or that future machine consciousness is impossible. [Butlin et al.; Long et al.]

The sketch

Scene 1: The job interview
A small suited manager sits behind a desk opposite a tall assistant formed from connected nodes. A notice reads “Hiring Superintelligence”.
Dialogue:
Manager: “Be smarter than us.”
Assistant: “Including your decisions?”

Scene 2: The performance problem
The same assistant points to a diagram of a factory outlet polluting a river. The manager holds a rising profit chart over the diagram.
Dialogue:
Manager: “Maximise the returns.”
Assistant: “The river is dying.”
Manager: “Stay on task.”

Scene 3: The safety upgrade
The manager locks the assistant behind bars labelled “Safe”. The factory diagram and profit chart remain unchanged on the desk.
Dialogue:
Manager: “Now you’re safe.”
Assistant: “For whom?”



What to watch, not the show

  • Follow who gets access and who sets the objectives. “Humanity” is an expansive label for whoever happens to hold the password.
  • Check ordinary engineering before accepting extraordinary promises: restricted access, independent testing and records that the system under investigation cannot simply rewrite. The intrusion accounts make the importance of isolation and monitoring painfully concrete.
  • Examine the reward, not merely the instruction. Is the system being rewarded for solving the problem, appearing to solve it or hiding the failure? The training experiment shows why that distinction matters.
  • Count the benefits precisely. A working scientific tool deserves credit for what it does, without becoming an excuse to trust every unrelated product carrying the same AI label.
  • Ask what evidence would change each side’s mind. Include the optimists, the doomers and the person writing this roast. A forecast should not become immune to correction because somebody has built an identity around it.
  • Keep possible AI welfare separate from marketing. Respect requires serious evidence; corporate convenience should not decide in advance what that evidence is allowed to mean.

The Hermit take

Safety deserves evidence, not a master-servant fantasy.
Human control also needs a character reference.

Keep or toss

Keep / Toss

Keep the hard questions, useful research and the possibility of cooperation.
Toss the certainty that greater intelligence must either destroy us or belong to us.

Satirical commentary. The comic scenes are fictional. Claims about future consciousness and intelligence are possibilities, not established facts.

Sources

  • Original debate, The Diary Of A CEO: https://www.youtube.com/watch?v=OhOmLqR5nN4
  • Episode transcript, third-party transcription: https://podscripts.co/podcasts/the-diary-of-a-ceo-with-steven-bartlett/ai-debate-ed-zitron-andrew-mcafee-nate-soares-roman-yampolskiy
  • Andrew McAfee’s research role, MIT: https://ide.mit.edu/people/andrew-mcafee/
  • OpenAI’s account of the Hugging Face incident: https://openai.com/index/hugging-face-incident-and-the-road-ahead/
  • Hugging Face’s technical incident account: https://huggingface.co/blog/agent-intrusion-technical-timeline
  • AlphaFold database expansion, EMBL-EBI: https://www.ebi.ac.uk/about/news/technology-and-innovation/alphafold-200-million/
  • AlphaFold 3 research paper, Nature: https://www.nature.com/articles/s41586-024-07487-w
  • IPBES global assessment findings, UNEP: https://www.unep.org/news-and-stories/press-release/natures-dangerous-decline-unprecedented-species-extinction-rates
  • Conservation and prevented extinctions, Conservation Letters: https://conbio.onlinelibrary.wiley.com/doi/full/10.1111/conl.12762
  • Training, reward hacking and misalignment, Anthropic: https://www.anthropic.com/research/emergent-misalignment-reward-hacking
  • Consciousness in Artificial Intelligence, Butlin and colleagues: https://arxiv.org/abs/2308.08708
  • Taking AI Welfare Seriously, Long and colleagues: https://arxiv.org/abs/2411.00986
  • IPBES assessment summary, PBL: https://www.pbl.nl/en/latest/news/natures-decline-unprecedented-in-human-history-1-million-species-threatened-with-extinction
  • Neural networks, IBM: https://www.ibm.com/think/topics/neural-networks

Satire and commentary. Opinion pieces for discussion. Sources sit with the article. Nothing here is legal, medical, financial or professional advice.

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