A little allegory about deflation and inflation: Satoshi Cove and Fiat Reef

Pardon my silly meanderings, but if I can’t write stupid stuff on this blog then what really is it for

Here are two short stories, reasoning about deflation and inflation from simplistic first principles.

Satoshi Cove: a little allegory about deflation

There is a small unspoilt island called Satoshi Cove. For generations, the villagers who live there have led simple and happy lives. They survive by growing corn and raising chickens.

The island’s currency is a rare wild pearl, which glows a soft pink. The best swimmers on the island dive for these pearls during the stormy winter months.

Because the search is risky, and the pearls grow slowly, the supply of pearls only grows by a few percent each year. So the currency supply is quite stable. In addition to pearls, the villagers have invented simple forms of credit and barter.

One day, one of the islanders – a noted eccentric – learns how to turn chicken poop into a rich fertilizer by adding salt and other natural compounds. At first of the other farmers don’t believe him, but the ones who do are able to use the fertilizer to improve their corn crop. By using this new fertilizer, the average corn farmer’s harvest increases by 25%, and because chicken feed is also composed of corn byproducts, the average chicken farmer’s output also increases by 5%.

Thus this entrepreneur has invented something – a new fertilizer – which leads to meaningful growth in the island’s production of corn and chicken. This is productivity-driven growth.

Most of the island benefits from this entrepreneur’s invention:

The inventor becomes wealthy by selling the fertilizer he creates.

The islanders can produce and sell more corn and more chickens.

The prices of corn and chicken fall, which enables the average villager to buy more.

But not everyone benefits. A few islanders are hurt by this change.

In particular, lenders who have made loans to be repaid in real goods like corn and chicken are hurt. Corn and chicken are now more plentiful, and thus less valuable. If a lender is to receive 10 chickens in re-payment, those 10 chickens would now be worth less.

It’s important to note that not all lenders are hurt. Lenders who have made loans to be repaid in pearls, conversely, have benefitted, because those pearls can now buy more corn and chicken.

In a similar way, borrowers who have received loans to be repaid in pearls are also hurt. The prices of corn and chicken have fallen, but the borrower is still required to pay back a fixed number of pearls.

And just like the inverse of the lenders’ situation, not all borrowers are hurt — those who have borrowed loans to be repaid in corn and chickens have benefitted.

This is a small example of productivity-driven growth leading to deflation, in a very simple economy. We have removed many elements of a modern “real” economy – for example, the island doesn’t trade with neighbors, and there is only one form of currency (pearls) – but hopefully it’s illustrative.

You can very clearly see that deflation here, which is caused by a valuable new invention, improves the quality of living for most islanders.

The price of food falls, which allows people to afford more. The innovator becomes wealthy. It enables farmers to produce more. And most importantly, it inspires people to create and invent more.

Imagine if this pattern were repeated over generations. The prices of food would continue to fall. Perhaps they would find new types of crops to grow. Or new farm animals to raise. The island’s productivity and output would increase, and along with it, so would quality of life.

So why is deflation a bad thing?

Fiat Reef: A little allegory about inflation

Now let’s talk about a similar island called Fiat Reef. In just about every way, it is a copy of Satoshi Cove.

The only difference?

Instead of an inventive entrepreneur who creates a new fertilizer, a creative and brave diver realizes that he can artificially grow the rare pearls by adding tiny grains of sand into the oysters. By doing this, he can double his own pearl output during each winter harvest. For simplicity’s sake, let’s assume he is just one of ten divers. So each season, the amount of new pearls discovered grows by 10%.

This is a form of financial innovation that leads to an increase in the island’s currency supply. This is a very simple and pure example of money inflation.

Now who benefits from this inflationary change to the island’s economy?

First and foremost, the inventive diver benefits. He’s literally created money. He harvests it first, and he can spend it to buy more corn and chicken.

As the money supply on the island grows, others benefit too. His favorite seller of corn and chicken benefits, because their customer is now much richer. And as those sellers make more money, they may raise the wages of their employees.

But importantly – not everyone benefits. Those who benefit most are those who are first to receive the money; the ones closest to the diver.

Moreover, many people are hurt by this change. In the same way that deflation hurt certain borrowers and lenders, inflation also hurts certain borrowers and lenders.

As the new currency trickles into the economy, the prices of corn and chicken begin to rise. And while some islanders are earning more, most of them aren’t. Thus they are able to afford less food.

In addition, because the money supply is growing faster than its usual pace, the purchasing power of pearls decreases. You can buy less with the same number of pearls. So everyone who has saved pearls will begin to feel poorer.

Now, the inventive diver was only able to increase the island’s pearl supply by 10% each season. But where this inflation really becomes problematic is when the other divers learn to copy his technique. Soon, the supply of pearls is growing 20%, 40%, and even more during each harvest cycle.

For a time, the divers themselves feel rich as kings, and spread the wealth to their family and friends and favorite farms. But then prices begin to rise faster and faster. If there is double the money, but no change in the amount of corn or chickens, then necessarily the price of corn and chicken will increase.

Eventually, what everyone wants to do is become a diver, and hunt for pearls.

On Fiat Reef, everyone is now incentivized to make more money, instead of making new things. Everyone wants to be a diver, or to be close to the divers so they get first dibs. Few islanders want to invent new fertilizers, or produce more corn and chicken.

In short, far more people are hurt by this change, which is an inflation of the money supply. Prices rise for all goods on the island. A few people win big. But the outcome is more complicated, and the long-term effects are more damaging.

Reality is more complicated than this simple example, and there are winners and losers on both Satoshi Cove and Fiat Reef.

But ask yourself which island you’d rather live on. Would you rather live on Satoshi Cove, where the goal is to invent and make great things, an island where output is increasing and prices are falling?

Or would rather live on Fiat Reef, where the goal is to become a diver and make more money, where prices are constantly increasing so it’s a race to see who gets the most money and buys the most things first?

Yes this is massively over simplified and exaggerated. The islands are closed economies with no trade and only one currency (pearls). Both deflation and inflation can hurt people.

But why is there such a gulf in public perception between the two? Why are we led to believe that deflation is so dangerous, and could potentially lead to economic collapse? Conversely, why are we told that some amount of inflation is not only good, but even necessary for our very economy to function? How did things get this way?

The Venn of blockchain and AI

I’ve been thinking about the relationship between blockchains and AI lately. Both are emerging foundational technologies and I think it’s no accident they are both coming of age at the same time.

Multiple writers have already expressed this view:

AIs can be used to generate “deep fakes” while cryptographic techniques can be used to reliably authenticate things against such fakery. Flipping it around, crypto is a target-rich environment for scammers and hackers, and machine learning can be used to audit crypto code for vulnerabilities. I am convinced there is something deeper going on here. This reeks of real yin-yangery that extends to the roots of computing somehow

From Venkatesh Rao: https://studio.ribbonfarm.com/p/the-dawn-of-mediocre-computing

I think AI and Web3 are two sides of the same coin. As machines increasingly do the work that humans used to do, we will need tools to manage our identity and our humanity. Web3 is producing those tools and some of us are already using them to write, tweet/cast, make and collect art, and do a host of other things that machines can also do. Web3 will be the human place to do these things when machines start corrupting the traditional places we do/did these things.

From Fred Wilson: https://avc.com/2022/12/sign-everything/

In both writers’ examples, blockchain helps solve some of the problems that AI creates, and vice-versa. I’m reminded of Kevin Kelly who said, Each new technology creates more problems than it solves.

Blockchains and AI have a sort of weird and emergent technological symbiosis and I’m here for it.

So the brain flatulence below is just my way to think aloud, using the writing process to work through the question(s).

*Note: when I say “blockchain”, I include what Fred Wilson calls web3 and Venkatesh calls crypto; there are just a few canonical applications that we’re all familiar with (namely, bitcoin and ethereum); and when I say “AI”, I am thinking about the most popular machine learning models like GPT3 and Stable Diffusion

*Note also: I am just a humble user of these new and powerful AI tools, and can barely understand the abstract of a typical machine learning research paper; so part of the reason why I’m writing this is to find out where I’m wrong a la Cunningham’s law

A blockchain is a tool for individual sovereignty; while an AI is a tool for individual creativity

A blockchain operates at maximum transparency; while an AI operates largely as a black box

A blockchain clearly shows the chain of ownership and history; while an AI… (does something like the opposite in the way it aggregates and melds and mutates as much data as possible?)

A blockchain is “trustless”, in the sense that what you see on-chain is the agreed upon “truth” of all its users; while an AI is (?), in the sense that what it generates is more or less unique to the specific prompt / question / user (and even this can change as the model is updated, or new data is added]

An AI is much easier to use than a blockchain

An AI can create vast quantities of content, very cheaply; while a (truly “decentralized”) blockchain is limited by scalability and cost

An AI is centralized (to a specific company, or model, or data set) in the sense that decision making rests with a team or company; while a blockchain is decentralized and decision making is distributed

A surprising user experience – as in, an unexpected but delightful output – is typically net positive for a user of AI, while seeing something happen on a blockchain that you don’t expect would generally be pretty bad (yes, of course there are airdrops)

Blockchains are a competitive threat to industries with a high degree of centralization (such as fiat currency issuance, and payment networks); AI is a competitive threat to many individual online workers (such as language translators, and freelance writers, and basic QA/QC employees)

Both blockchains and AI have multiple open source products that can be forked by developers

Both blockchains and AI are platforms upon which many other products and services can be built

Both blockchains and AI are technologies that exploded into the popular consciousness in the last 10 years

Both “blockchain” and “AI” are very broad suitcase words, in part because they are both the product of many technologies combined in innovative ways: for blockchain that is everything from cryptography to smart contract programming to PoW mining to distributed consensus mechanisms; for AI that’s, uh…well everything listed here and more, I suppose

I’ll end here for now, but let me know what I got wrong, what I’m missing, and what questions or ideas this might inspire

Addendum #1: I asked ChatGPT

Addendum #2: This NYT article notes that SBF (“Sam Bankscam Fraud”) donated at least $500M to organizations researching AI alignment and AI safety. Not exactly the kind of symbiosis I want to explore, but worth noting.

Addendum #3:

Blockchains can only give precise answers, while AI can give approximate answers or even fabricate answers

Blockchains are censorship resistant, while AI is centralized (most are created by small doxxed teams) and have implemented restrictions on usage (most have rules against, for example, CSAM or nudity)

Crypto isn’t the only clown show: Rest of the world has $65 TRILLION in US dollar liabilities — far more than previously estimated

i only have 6 fingers but i’m just a regular guy nothing to see here

Report comes from the BIS, which is like the Central banks’ Central bank. It also releases the best research, but Powell gets 100x more msm coverage, because Amurica.

Hidden leverage…liquidity issues…10x more debt than capital…reminds me of something 🤔. Only we’re talking TRILLIONS here, not a measly bankman fraud scam of just billions.

Full report here (it’s brief): https://www.bis.org/publ/qtrpdf/r_qt2212h.htm

Verbatim excerpts below:

The missing dollar debt from FX swaps/forwards and currency swaps is huge, adding to the vulnerabilities created by on-balance sheet dollar debts of non-US borrowers. It has reached $26 trillion for non-banks outside the United States, double their on-balance sheet debt. Moreover, it has grown smartly since 2016, despite the often significant premium demanded on dollar swap funding. For banks headquartered outside the United States, dollar debt from these instruments is estimated at $39 trillion, more than double their on-balance sheet dollar debt and more than 10 times their capital.

Dollar dominance is striking in this FX market segment, greater than in any other aspect of dollar use. As a vehicle currency, the US dollar is on one side of 88% of outstanding positions – or $85 trillion. An investor or bank wanting to do an FX swap from, say, Swiss francs into Polish zloty would swap francs for dollars and then dollars for zloty.

Off-balance sheet dollar debt may remain out of sight and out of mind, but only until the next time dollar funding liquidity is squeezed. Then, the hidden leverage and maturity mismatch in pension funds’ and insurance companies’ portfolios – generally supposed to be long-only – could pose a policy challenge. And policies to restore the flow of dollars would still be set in a fog.

SBF (FTX) interviewed by Andrew Ross Sorkin – my meandering and annoyed takes

Worth watching in full. I’ve heard Stephanopoulos’s interview was harder hitting but haven’t watched it yet.

I downloaded an MP3 version of it, so the reactions below are based on his voice and replies alone and not body language, though I’m notably handicapped when it comes to eq:

Repeatedly distanced himself from Alameda, made clear he ran FTX but claimed not to know what was going on in detail at Alameda — beggars belief considering he owned 90% of Alameda and every prior Alameda CEO was Sam’s close personal friend or *perhaps cough cough* more

Tries to blame the collapse on leverage, which I assume is a hot button issue with regulators and easier to understand by the general public, but annoying that Sorkin doesn’t dig deeper into the obviously fraudulent evidence (like systemic co-mingling and improper usage of customer funds; Alameda front-running / VIP status on FTX exchange; taking out multiple BILLIONS in personal loans, where did those funds go?; the role of close senior execs including Nishad and Gary)

Within FTX structure, shifts blame to regulators (repeatedly claims FTX US and FTX Japan, etc, were ok and solvent because there were stringent regulations). It’s sorta like saying I stole my classmate’s lunch money because the teacher wasn’t in the room

With two Stanford law professors as parents, he clearly understands the importance and practice of “plausible deniability”

His public track record proves beyond a doubt that he is a very effective and disciplined communicator. Just read his many tweet threads. So why would we suddenly assume he’s NOT being disciplined and purposeful in conducting these interviews, despite his *claims* that his lawyers don’t want him to do this?

Hilarious bit at the end where he complains about hypocritical “do-gooderism”, when his publicly stated life’s work was to promote an over-intellectualized neo-facade of do-gooderism known as ineffective altruism. Merriam Webster literally defines a “do gooder” as “an earnest often naive humanitarian or reformer” gtfo of here

I hope he ends up in jail. I hope it takes many years before he steps foot in a cell, so he has to spend time and brain cells and stress and money defending himself in court and outside it.

But knowing how the American penal system works he’ll probably receive a light sentence served in a cushy minimum security getaway with plenty of utilitarian philosophy books and vegan couscous or whatever the f he pretends to eat