Article
Culture
Economics
Ethics
6 min read

The rights and wrongs of making money with meme coins

When does investing become speculating, or even addictive gambling?
A montage shows Trump with a raised fist against other images of him and the phrase 'fight fight fight'.
$Trump coin marketing image.
gettrumpmemes.com,

Donald Trump’s “liberation day” tariffs may have driven sharp swings in global financial markets, but his actions in markets a few months earlier were in some ways even more peculiar.

On the Friday before his inauguration as the 47th US President in January, the Republican surprised many with the launch of the $TRUMP memecoin, described by its website as “the only official Trump meme”. The cryptocurrency token, in which Trump’s family business owned a stake, initially soared in value to more than $14bn over that following weekend. 

Then, on the Sunday, Trump’s wife Melania launched her own memecoin, $MELANIA, which reached a value of $8.5bn. Even the pastor who spoke at the president’s inauguration subsequently launched his own memecoin. 

For those wondering what exactly a memecoin is, you are not alone. In short, they are a form of cryptocurrency - an asset class that itself has attracted plenty of questions about its substance and purpose - representing online viral moments. They have no fundamental value or business model and, according to the US securities regulator, “typically have limited or no use or functionality”. 

Donald and Melania Trump’s coins subsequently plunged in price, but still have a value of around $2.5bn and $214mn respectively, according to website CoinMarketCap. 

There are plenty of others in existence. PEPE, based on a comic frog, has a value of around $3.6bn; BONK, a cartoon dog, has a market cap of $1.5bn; and PNUT, a reference to a squirrel euthanised by authorities in New York and about which Trump was allegedly “fired up” (although doubt has since been cast on the president’s involvement in the matter), is still valued at around $174mn, despite having fallen sharply in price.  

Dogecoin, seen as the world’s first memecoin and originally created as a joke, boasts a market value of around $25bn. (There are other memecoins which may not be suitable for these pages). 

Some people’s willingness to buy an “asset” with no use or fundamental value may seem strange to more traditional investors. But it can be viewed as just one manifestation of the speculative investor behaviour evident since the onset of the coronavirus pandemic and, indeed, at times throughout history. 

The price of Bitcoin recently rose above $100,000, despite many investors still viewing it as having little or no value (in 2023 the UK’s Treasury select committee described cryptocurrencies as having “no intrinsic value, huge price volatility and no discernible social good”). In early 2021, shares in GameStop - a loss-making US video games retailer that some hedge funds were betting against - rocketed as much as 2,400 per cent, as retail investors piled in, many with the aim of inflicting pain on the hedge fund short sellers (in that respect at least, a highly successful strategy that became the subject of the film Dumb Money). The huge rise in AI and other tech stocks in recent years - until the recent tariff-driven volatility - has also been described as a bubble by some commentators. 

Whether or not such episodes can be compared to infamous bouts of speculative mania in history depends on your point of view (and often can only be judged with the benefit of hindsight) - be it the 17th century Dutch tulip bulb mania, shares in the South Sea Company in the 18th century or the dotcom boom and bust of the late 1990s and early 2000s. 

But it does give rise to the question of when investment should start to be described as speculation or even as gambling? And what are the rights and wrongs of any of those activities? 

There can be negative effects, for instance if the actions of speculators force businesses in the real economy to change their plans or divert time and resources... 

Gambling can be thought of as risking a stake on, for instance, the result of a game of chance or sport in the hope of a bigger payout. While often the result is purely down to chance, in some cases a strategy or an element of research (for instance of a horse or football team’s form) can be used. Investment, in contrast, tends to involve purported economic utility and assets believed to have some sort of underlying value, and holds the hope of future profit (although there are also plenty of bad investments or those that have gone to zero). While an investor must be prepared to lose their entire stake, in some cases such an event is relatively unlikely (for instance, if they buy a fund tracking the performance of a major stock exchange). Speculation is harder to define, but is generally seen as shorter term than investment, with more chance of a bigger gain or loss, and dependent on price fluctuations. Rightly or wrongly, the term has a more negative connotation than investment. 

One writer who explored the ethics of these activities was Oswald von Nell-Breuning, a Jesuit theologian and economist who served as an adviser to the Pope and who was banned from publishing under the Nazis. 

While he found that “one general definition cannot capture all the nuances” of speculation, he identified two different types of speculative activity - one that was purely trying to make a profit from financial market trading, and one based on trying to create a viable business. (See this article in the Catholic Social Science Review for a fuller explanation of Nell-Breuning’s views on speculation). 

As the CSSR article shows, Nell-Breuning found that there can be positive effects from speculation - one might think of better liquidity and price discovery in a market, while, in commodity futures markets, speculators allow producers to hedge risk

But he also argued that there can be negative effects, for instance if the actions of speculators force businesses in the real economy to change their plans or divert time and resources away from production. 

And whereas gambling typically takes place within a circle of players who have chosen to take part, speculation, he wrote, can affect a greater portion of society - for instance, if it affects the price of shares or bonds they hold. 

The Bible - on which Nell-Breuning’s faith and analysis was based - does not take a prescriptive approach to such activities. But it does provide some interesting guidance.  

An entrepreneurial approach to business and investment is applauded, for instance when the writer of the book of Proverbs (traditionally believed to be King Solomon) praises the virtues of “an excellent wife”. These include investing in a field and using her earnings from business to plant a vineyard, and feeding her family from her gains. 

Jesus tells a story of a master who, before going on a journey, gives his property to his servants, each according to their ability. To one he gives five “talents” (a large unit of money), to a second two and to a third servant he gives one. 

The first servant trades with his talents and makes five more talents - a 100 per cent profit - and is applauded by the master on his return. The second servant also trades and similarly makes two more talents and is again applauded. 

But the third servant, being afraid and believing the master to be “a hard man”, hides the money in a hole in the ground. He is condemned as “wicked and slothful”, and told that he should at least have put the money in the bank. 

While Jesus’s story may primarily be about how we view God’s nature, how we use our God-given abilities and whether or not we can take risks in faith for Him, it is also hard not to see investment and indeed wise speculation as being virtuous activities here. Putting the money into a bank account is, in this story anyway, more of a fallback option. 

But the Bible also warns us against putting money above all else in our lives. The love of money is, famously, a root of all sorts of evil, while we are also told to be content with what we have, and that “wealth gained hastily will dwindle”. 

Nell-Breuning similarly warns that a “get-rich-quick” mindset, when this is placed above all else, can be harmful, and advises caution in situations where the lure of big profits can lead the speculator into market manipulation or fraud. 

After all, both gambling and crypto trading have the potential to become dangerous and damaging addictions needing treatment

Ultimately, Nell-Breuning struggled to come to a simple conclusion on the question of whether speculation, in and of itself, is morally wrong. It is, he wrote, a judgment call for those involved. 

When making such decisions ourselves, his - and the Bible’s - warnings may be worth bearing in mind. 

Article
AI
Culture
Generosity
Psychology
Virtues
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.
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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