The awe and outrage of Musk's toxic ingenuity

Walter Isaacson’s Elon Musk, is a biographic rollercoaster reckons Krish Kandiah. One marked by magnificent moments and moral crossroads.

Krish Kandiah

Krish is a social entrepreneur partnering across civil society, faith communities, government and philanthropy. He founded The Sanctuary Foundation.

Elon Musk, wearing a dark suit, stands on a stage to a white robotic looking surgical robot.

Elon Musk at a demonstration of the Neuralink technology in 2020.

There is something both inspiring and unnerving about Elon Musk. He is a game-changing pioneer and innovator in so many industries pivotal to our future: rockets, electric cars, solar panels, batteries, satellite Wi-Fi, and Artificial Intelligence. But he is also no stranger to scandal, controversy and allegation. In his latest biography, author Walter Isaacson explores the toxicity as well as the ingenuity that has come to be associated with the richest man on the planet. As he reveals Musk’s series of successes, and what has been sacrificed to acquire them, I found myself going on an emotional journey: from compassion to awe to outrage.

Compassion: a man familiar with misery

In the opening chapter of his book Isaacson draws attention to the trauma in Elon’s childhood. Perhaps unsurprisingly, Elon was socially awkward at school. When he once pushed back at a boy who bumped into him, he was being beaten up so badly his face was unrecognisable. When he returned from hospital Musk reports how his father reacted: “I had to stand for hours. He yelled at me and called me an idiot and told me that I was just worthless.” There are a number of similar stories from Musk’s seemingly brutal childhood. Errol Musk, Elon’s father, features heavily in a series of shocking revelations including that he slept with his own stepdaughter, fathering two children with her. The background of Musk’s chaotic childhood, his experience of domestic abuse, and his series of fractured relationships provides a context for some of the strange, indeed outrageous things catalogued in the book.

Having worked for many years with children in the care system and with refugee experience, I understand a little about the impact of trauma and how it can change the brain in profound ways. There is a great deal of evidence showing how adverse childhood experiences can cause long-lasting impact on decision-making, impulse control, relationship building, mental health management and emotional regulation. While many turn to alcohol, drugs or self-harm as coping mechanisms, others, perhaps like Musk, channel the pain into ambitions and achievements.

I found myself feeling profoundly sorry for Musk. No child should have to experience such prolonged cruelty both at school and at home. All of us need to know that we are loved and valued, independent of anything we have done or anything that has been done to us.

Awe: a man of magnificent moments

Musk’s ideas have revolutionised so many industries. The automotive industries move to electric power owes a lot to the innovation of Tesla. His Space X programme is currently changing the way we think about space travel. His company was the first to create self-landing reusable rockets and was the first private owned company to develop a liquid-propellant rocket that reached orbit; the first to launch, orbit, and recover a spacecraft; the first to send a spacecraft to the International Space Station; and the first to send astronauts to the International Space Station. He is also trying to revolutionise Artificial Intelligence (AI) through his company xAI - a direct competitor to Open AI even though he was one of their early backers.

Musk has a complex relationship with AI as he is not only one of the lead innovators in the field but also the most prominent of the 33,000 signatories of a letter calling for a pause to ‘Giant AI Experiments’ until there is, in Musk’s words, “a regulatory body established for overseeing AI to make sure that it does not present a danger to the public."

AI, alongside each of the other major interest areas in Musk’s work, is way beyond any dreams I ever had of a futuristic world. Musk has managed not only to imagine the unimaginable, but to find a way to get there with impressive speed, scale and sustainability values. The more I read about the innovations involved in each step of each project, the more impressed I am with the genius behind them.

Outrage: a man without a moral compass?

Despite Walter Isaacson’s clear respect for all Musk is achieving, he paints a warts-and-all picture of his book’s subject. We see a man who is ruthless in his hirings and firings, who has often treated staff and colleagues badly. In 2018, he famously called a rescue diver, helping to save teenage boys from a flooded cave in Thailand, a ‘paedo’, in what seemed to be a reaction to a snub to his offer of using his minisub.

In light of these sorts of outbursts, and his apparent desire to save the world from looming environmental disaster, it is no wonder that some people have accused Musk of having a messiah complex. Yet if he does, it is a very different mindset from the true messiah. He appears to me to be morally, emotionally and financially the polar opposite to the Jesus whose willingness to sacrifice himself on behalf of those in need was central to his claim to be sent from God. From the way Isaacson describes Musk, I see him more as a man on a mission to save himself than to save those around him.

The future? Musk, a man at a crossroads.

Isaacson closes his book with the following analysis:

“But would a restrained Musk accomplish as much as Musk unbound? Is being unfiltered and untethered integral to who he is? Could you get the rockets to orbit or the transition to electric vehicles without accepting all aspects of him, hinged and unhinged? Sometimes great innovators are risk-seeking man-children who resist potty training. They are reckless, cringeworthy, sometimes even toxic. They can also be crazy. Crazy enough to think they can change the world.”

I find this a disconcerting epilogue to the book. It suggests that we can pardon toxicity in the name of innovation, that the ends always justify the means, that morality and decency can take second place to advancement and wealth. If this stance were to be applied to, say, the development of AI, Musk’s fears of it becoming a danger to the public may sadly well be realised.

While factors such as grand ambition, the contribution to society, early years trauma, and mental health struggles may provide a robust explanation of why a person may be toxic, toxicity itself can never be excused. No amount of wealth can undo the harm toxic masculinity does to those around us. No amount of charitable giving can buy a person a generous spirit or moral compass. No amount of environmental awards can create the sort of world we really want to live in in the future – a world where people treat one another with the respect they need and deserve.

Elon Musk’s biography is unusual because he is still mid-journey. Who knows what else he may go on to achieve or fail at, to create or destroy? Will his AI revolution be a force for good, helping to create a better future for those who need it most, or will it become the behemoth of the doomsayers? What will future editions add to his biography? Is being ‘untethered’ really integral to who Musk is, or can he change? The visionary in me would love to imagine a redemption and transformation story for Musk that can unleash a compassionate generosity that could even overshadow his creative genius. The sceptic in me fears he may end up doing more harm than good.

Article

Culture

Generosity

Psychology

Virtues

28 April 2025

5 min read

AI will never codify the unruly instructions that make us human

The many exceptions to the rules are what make us human.

Henna Cundill

Henna is a researcher with the Centre for Autism and Theology at the University of Aberdeen.

A desperate man wearing 18th century clothes holds candlesticks

Jean Valjean and the candlesticks, in Les Misérables.

On average, students with surnames beginning in the letters A-E get higher grades than those who come later in the alphabet. Good looking people get more favourable divorce settlements through the courts, and higher payouts for damages. Tall people are more likely to get promoted than their shorter colleagues, and judges give out harsher sentences just before lunch. It is clear that human judgement is problematically biased – sometimes with significant consequences.

But imagine you were on the receiving end of such treatment, and wanted to appeal your overly harsh sentence, your unfair court settlement or your punitive essay grade: is Artificial Intelligence the answer? Is AI intelligent enough to review the evidence, consider the rules, ignore human vagaries, and issue an impartial, more sophisticated outcome?

In many cases, the short answer is yes. Conveniently, AI can review 50 CVs, conduct 50 “chatbot” style interviews, and identify which candidates best fit the criteria for promotion. But is the short and convenient answer always what we want? In their recent publication, As If Human: Ethics and Artificial Intelligence, Nigel Shadbolt and Roger Hampson discuss research which shows that, if wrongly condemned to be shot by a military court but given one last appeal, most people would prefer to appeal in person to a human judge than have the facts of their case reviewed by an AI computer. Likewise, terminally ill patients indicate a preference for doctor’s opinions over computer calculations on when to withdraw life sustaining treatment, even though a computer has a higher predictive power to judge when someone’s life might be coming to an end. This preference may seem counterintuitive, but apparently the cold impartiality—and at times, the impenetrability—of machine logic might work for promotions, but fails to satisfy the desire for human dignity when it comes to matters of life and death.

In addition, Shadbolt and Hampson make the point that AI is actually much less intelligent than many of us tend to think. An AI machine can be instructed to apply certain rules to decision making and can apply those rules even in quite complex situations, but the determination of those rules can only happen in one of two ways: either the rules must be invented or predetermined by whoever programmes the machine, or the rules must be observable to a “Large Language Model” AI when it scrapes the internet to observe common and typical aspects of human behaviour.

The former option, deciding the rules in advance, is by no means straightforward. Humans abide by a complex web of intersecting ethical codes, often slipping seamlessly between utilitarianism (what achieves the most amount of good for the most amount of people?) virtue ethics (what makes me a good person?) and theological or deontological ideas (what does God or wider society expect me to do?) This complexity, as Shadbolt and Hampson observe, means that:

“Contemporary intellectual discourse has not even the beginnings of an agreed universal basis for notions of good and evil, or right and wrong.”

The solution might be option two – to ask AI to do a data scrape of human behaviour and use its superior processing power to determine if there actually is some sort of universal basis to our ethical codes, perhaps one that humanity hasn’t noticed yet. For example, you might instruct a large language model AI to find 1,000,000 instances of a particular pro-social act, such as generous giving, and from that to determine a universal set of rules for what counts as generosity. This is an experiment that has not yet been done, probably because it is unlikely to yield satisfactory results. After all, what is real generosity? Isn’t the truly generous person one who makes a generous gesture even when it is not socially appropriate to do so? The rule of real generosity is that it breaks the rules.

Generosity is not the only human virtue which defies being codified – mercy falls at exactly the same hurdle. AI can never learn to be merciful, because showing mercy involves breaking a rule without having a different rule or sufficient cause to tell it to do so. Stealing is wrong, this is a rule we almost all learn from childhood. But in the famous opening to Les Misérables, Jean Valjean, a destitute convict, steals some silverware from Bishop Myriel who has provided him with hospitality. Valjean is soon caught by the police and faces a lifetime of imprisonment and forced labour for his crime. Yet the Bishop shows him mercy, falsely informing the police that the silverware was a gift and even adding two further candlesticks to the swag. Stealing is, objectively, still wrong, but the rule is temporarily suspended, or superseded, by the bishop’s wholly unruly act of mercy.

Teaching his followers one day, Jesus stunned the crowd with a catalogue of unruly instructions. He said, “Give to everyone who asks of you,” and “Love your enemies” and “Do good to those who hate you.” The Gospel writers record that the crowd were amazed, astonished, even panicked! These were rules that challenged many assumptions about the “right” way to live – many of the social and religious “rules” of the day. And Jesus modelled this unruly way of life too – actively healing people on the designated day of rest, dining with social outcasts and having contact with those who had “unclean” illnesses such as leprosy. Overall, the message of Jesus was loud and clear, people matter more than rules.

AI will never understand this, because to an AI people don’t actually exist, only rules exist. Rules can be programmed in manually or extracted from a data scrape, and one rule can be superseded by another rule, but beyond that a rule can never just be illogically or irrationally broken by a machine. Put more simply, AI can show us in a simplistic way what fairness ought to look like and can protect a judge from being punitive just because they are a bit hungry. There are many positive applications to the use of AI in overcoming humanity’s unconscious and illogical biases. But at the end of the day, only a human can look Jean Valjean in the eye and say, “Here, take these candlesticks too.”

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