Thursday, December 18, 2025

Books: What I have learned From A Jacob Fugger - The Richest Man Who Ever Lived


 (Drivebycuriosity) - It seems that some things never change. Today there is an antitrust campaign against "Big Business". Politicians and bureaucrats claim that big corporations abuse their alleged monopoly power and try to dismantle them. A similar crusade unsettled the Renaissance. Early in the 16th century Jacob Fugger was in the pillory. The banker, investor & industrialist was a champion of free enterprise and unfettered capital markets, a crusader for economic and personal freedom, and a warrior for capitalism. The mogul got attacked by unsuccessful competitors, debtors and political & religious reformers, who all claimed that Fugger`s firm was too big and abused her alleged monopoly power.

Greg Steinmetz`s biography "The Richest Man Who Ever Lived" explains the rise of the Renaissance tycoon and describes how he amassed his wealth, cooperated with popes & emperors and struggled with his enemies (amazon ). The Renaissance story has surprisingly many similarities to today`s developments.

Fugger wasn`t the heir of a dynasty, instead he accumulated his huge wealth on his own and his rise can be explained by education, intelligence and willingness to take high risks. He was born 1459 in Augsburg, a city in Southern Germany, today part of Bavaria. At Fugger´s birth Augsburg was on its way to becoming the money center of Europe, the London of its day. When he was young his mother secured him an apprenticeship in Venice, the most commercial minded city on earth, where young men went to learn about trade and banking. The Italians had invented it, as shown by the words credito, debito and even banca.  

In Venice Fugger got introduced to the advantageous craft of accounting. He learned double-entry bookkeeping, so named because each entry had a corresponding entry to make the books balance. The method helped him to understand a complex business in a quick glance by summarizing the highlights and condensing the value of an enterprise to a single figure, its net worth.

 

                 The Big Picture 

The fact, that Fugger, as a teenager, already understood the importance of bookkeeping and how to do it, gave him an edge over his competitors, who kept sloppy books and overlooked details left money on the table. While his competitors believed that they could live without detailed figures, Fugger had clerks in each of his offices, who monitored every transaction and let nothing sneak through. The offices had to update the figures every week and close the books at year-end, no exceptions.

Fugger could see the big picture like no one else. By knowing exactly where he stood at every moment, he always knew how much he had to lend or whether he had to cut back. And he knew exactly, down to the last kreuzer, how much he was worth.  

Fugger also was innovative. He created a news service, the world`s first. A network of couriers raced to Augsburg with market information, political updates and the latest gossip - anything that would give him an edge.

Fugger benefited also from his political skills. He wove close connections with the uprising Habsburg family and helped at least two of them to become emperor of the Holy Roman Empire by financing them and bribing their electors. He also supported other members of the Habsburg family to secure the kingship of Spain. 

Fugger`s huge loans to the Habsburgs and other rulers were a kind of a highly risky gamble that could have driven him into insolvency, because royals could not be forced to pay them back. But they also made him extremely rich. Being the top financier of the Habsburg family for instance gave him control over highly profitable silver mines in Austria and Hungary, that partly were used a collateral and delivered a large part of his income.

 

                         Promising Projects 

Fugger had lucrative connections with the popes as well. The Vatican amassed a lot money from donations, because people in the Middle Ages and the Renaissance believed that they could avoid hell - even though they had committed sins, even murders - if they donate enough money to the church. 

Fugger dominated the business of transferring collection plate donations from Germany to Rome. Partly because he could move the money more safely and efficiently than the others because of the size of his branch network. He had so many offices and handled so much money that he could create a close loop where he could debit an account in one branch and credit an account in another. Actual coins never changed hands. This made him different from other bankers and endeared him to the Vatican because the pope could get is money without the risk of highway robbers seizing it en route. Like a credit card company taking a cut on every swipe, Fugger collected 3 percent on each transfer. This made him "God´s banker", the top financier to Rome. The taycoon served seven popes and minted coins for four of them.

Besides financing the Habsburgs and popes the entrepreneurial bet his money on other risky but highly promising projects like Portugal´s pepper trade in Asia and Spain`s exploration of their American colonies, the New World.  

 


                       Public Enemy 

Naturally Fugger`s outstanding success created envy & political resistance. Martin Luther pleaded with the princes "to crack down on big business". The knight Ulrich von Hutten, a supporter of Martin Luther, turned Fugger into a public enemy and demanded the execution of Jacob Fugger & Nephews. Thomas Müntzer, a self-proclaimed mystic, lead a peasant revolution army in order to "throw away the profiteering evildoers", especially his arch-enemy Fugger. 

The Renaissance banker defended himself and declared, that companies like his benefited all level of society, producing jobs and wealth for all. Fugger claimed that he and other business leaders knew better than to cheat on their customers. Reputation was everything and the importance of credibility checked the urge to lie, gouge and steal. 

 

                 Richer Than The Medici

Fugger`s balance sheet of 1525 showed that he had a net wealth - assets minus liabilities - of 2.02 million florins, the highest reported wealth so far. That beats the net worth of the Medici family, the richest Italian bankers, by far. Their bank had never more than 56,000 florin. After Jacob Fugger´s death the balance sheets of the family grew  bigger. They opened offices in more cities, became more international and more sophisticated. The Fugger company lasted another hundred years and wrapped up its affairs only because Fugger family members lost interest and preferred to live as country squires rather than businessmen.

As many of the mega-rich (Rockefeller, Carnegie) he also was philanthropic. Fugger started a public housing project in Augsburg, the Fuggerei, that offers rents below market prices, today known as affordable rents.  

Steinmetz`s book is much more than a biography. He depicts political developments in the German speaking lands in the 16th century, than a patchwork of kingdoms, duchies, electorates and free cities like Augsburg, Frankfurt and Hamburg. He writes about the rise and fall of the Hanse (Hanseatic League), an early trade union, containing wealthy free cities like Lübeck, Hamburg, Bremen, Rostock, Stralsund, Tallinn, Riga, Gdansk, and Bruges, an opponent of Fugger. And Steinmetz describes the role of the emperors of the "Holy Roman Empire", who were traditionally members of the Habsburg family. After the death of Charlemagne, the first emperor, Europe split into kingdoms that further split into principalities, duchies or whatever other entities had enough military power to stay independent. The followers of Charlemagne, the emperors (Kaisers) got elected like the popes. Seven princes and bishops - the most powerful territorial leaders in the German-speaking countries - comprised the electoral college that selected the emperor. The emperor received no funding except from his own estates. He was weak because, unlike the centralized states of France and England, Germany´s provincial lords clung to their independence. So the emperors relied on bankers who financed them and the Habsburg emperors relied on Fugger, the most powerful financier of his time. 

 

                  Early Class Struggle 

The German speaking lands experienced a boiling up controversy between the monopolistic Catholic Church, ruled by Rome, and reformers like Martin Luther,  Thomas Müntzer & Ulrich von Hutten, that escalated into a violent class struggle and a bloody revolution, the German Peasant`s War. Fugger sided with Rome, the emperor and the aristocrats, because the church was an important source of his income, and the reformers & revolutionaries wanted to expropriate "the rich" and destroy tycoon Fugger.  

Some things never change.    


Saturday, November 29, 2025

Economics: Do We Really Need Antitrust?


 (Drivebycuriosity) - Did you ever hear of antitrust? Most people might not know it. The term seldom appeares in the headlines of the popular media and cannot be translated into other languages. But politicians and lawyers are obsessed with it and there are huge antitrust lawsuits against Google, Amazon, Meta and other big corporations, all based on the claim that the accused abuse monopoly power.

 

               Crack Down On Big Business 

Antitrust existed already in the Renaissance, if not earlier. Georg Steinmetz describes in his biography "The richest man who ever lived", the growing political pressure against Jacob Fugger, who acquired in the early 16th century an immense wealth as a shrewd investor and financier of Popes & Emperors (amazon ). Naturally Fugger`s outstanding success created envy & political resistance. His opponents, including unsuccessful competitors, debtors, political & religious reformers claimed that Fugger`s business was too big and the banker abused his monopoly power. The knight Ulrich von Hutten, a supporter of Martin Luther, turned Fugger into a public enemy and demanded the execution of Jacob Fugger & Nephews. Thomas Müntzer, a self-proclaimed mystic, lead a peasant revolution army in order to "throw away the profiteering evildoers", especially his arch-enemy Fugger. Martin Luther was more modest, but pleaded with the princes "to crack down on big business". 

Antitrust got established in the USA with the Sherman Antitrust Act from 1890. Since then US politicians have been fighting against alleged monopolies. The governments punished corporations that were considered being too big and accused them crushing competition & harming consumers. In 1911 Standard Oil got split into 33 companies, even though their market share fell already from 85% to 60% before the antitrust legislation. President Theodore Roosevelt, who subscribed to "government knows best", promoted a public relations image of being a trust buster and sued 45 companies under the Sherman Act.

During the Reagan area in the 1980s politicians and regulators had a more sanguine approach, influenced by Milton Friedman and the Chicago School of Economics, who focused on consumer welfare (low prices, fast & reliable services) supported by the greater efficiency of big corporations (economies of scale). After 2020 the Reagan administration started a new antitrust movement. America`s huge antitrust agencies FTC (Federal Trade Commission) and the Antitrust Division of the US Department of Justice (DOJ) got controlled by zealots like Lina Khan and Jonathan Kanter. Both declared Big Business as evil and their agencies started crusades against Amazon, Meta & Google and other big companies for alleged monopolistic practices. These lawsuits continue till today, notwithstanding the political change in Washington DC.

 


Antitrust is based on the belief that the government has to fight against "unchecked corporation power". But does it really exist? History shows that whenever a firm has success, others  - inventors, investors & entrepreneurs - follow and try to get a share from the pie. Who remembers MySpace? The company was once the leading social network and regarded as a monopolist theguardian). But then came Zuckerberg out of nowhere and destroyed MySpace`s "monopoly" by creating Facebook.

 

                  Inspired Copycats 

When Jeff Bezos started Amazon in the year 1994 his online bookshop was a monopolist, but just for a very short time. Amazon`s success story inspired worldwide others, the copycats, to offer similar services.

 


 
 (source )

Today there are thousands of companies selling online, including giants like Walmart, Target, Best Buy & Costco, who all developed large online departments; and there also exist a lot online platforms like Overstock, Shopify, Wayfair, Etsy & Ebay, who all are successfully copying AmazonThey get joined by innovative newcomers, who are aggressively entering the highly competitive market, like TikTok`s online shop, the Chinese shopping app Temu and the online shopping platform Shein. And  Amazon competes globally with Alibaba, Tencent (both China), Rakuten (Japan), MercadoLibre (Latin America) and others. Notwithstanding in September 2023 the FTC started a law suit against Amazon, claiming that the company is a monopoly and stifles emerging competition. The law suit is still running. 

In 2020 the FTC also suit Meta (the mother of Facebook & Instagram) and claimed that the company illegally maintains a personal social networking monopoly and imposes anti-competitive conditions on developers. But recently a court dismissed the law suit and the monopoly claim. The judge noticed that Facebook & Instagram are competing with similar platforms like X (formerly Twitter), YouTube, Snapchat, BlueSky, LinkedIn and TikTok.

 

                   Endangered By AI 

The Department of Justice (DOJ) started two main antitrust lawsuits against Google: one concerning its search engine and another concerning its digital advertising technology. The first lawsuit intends to break up Google`s alleged "monopoly" and wants to force the company to spin of their Chrome Browser. As a response Perplexity made an offer to purchase Google`s Chrome for $34.5 billions ( cnbc). Who is Perplexity? The company, founded in 2022, is a start up, an American privately held software company offering a web search engine that processes user queries and synthesizes responses (wikipedia).

Perplexity is a nice example for companies that suddenly come out of nowhere and attack the alleged monopolies. The fact that Perplexity, that exists only for 3 years, expected to get $34.5 billions from investors shows that there is a lot of money available to enter an attractive market and to challenge the leader.

The DOJ - and other monopoly callers - ignore that Google, who gets most of the revenues from advertisements on their platforms, is competing against Meta and other giants and is already losing market share to Amazon`s advertising business ( realclearmarket). The DOJ also ignores the fast rise of Artificial Intelligence. AI endangers Google Search primarily by fundamentally changing user behavior and threatening Google's core advertising-based business model. Instead of users clicking on links to find answers, AI provides synthesized, direct answers, reducing the need to visit external websites.

 

         How To Kill 2 Monopolies With 1 Tool 

Another example for competition out of nowhere and disruptive innovators is Substrate, a US startup, that has invented a new X-ray lithography tool; disrupting both ASML’s and TSMC’s effective monopolies ( semianalysis). 

The FTC and DOJ ignore that the technological progress is accelerating and markets are changing faster and faster, disrupting monopolies. Their lawsuits are based on the belief that "Big is Bad", which was already used against Jacob Fugger. The Renaissance banker defended himself and declared, that companies like his benefited all level of society, producing jobs and wealth for all. Sure, self interest propelled them, he conceded. But they knew better than to cheat on their customers. Reputation was everything and the importance of credibility checked the urge to lie, gouge and steal.

Contemporary studies confirm him. Today`s giants grew so much and got huge because they are efficient - more efficient then their competitors - and their services are reliable. Their size reduces the average costs (economies of scale) which allows them to demand relatively low prices.  A study by the Federal Reserve Board also shows that mega firms are driving technological progress because their size enables them to be more innovative than smaller firms ( edwardconard ). And Edwin S. Rockefeller claims in his book "The Antitrust Religion" that antitrust "has often served to shelter inefficient firms from lower prices and innovations" ( amazon).

There is of course the risk that firms break the law and cheat. But this a case for regular courts. Criminal cases do not require 2 huge antitrust agencies that have together about 1,300 employees, including legions of highly paid lawyers. 


Conclusion: Antitrust costs a lot of tax payer money and - to make things worse - occupies ample management capacities. It is slowing decision processes - making business more complicated and costly. The victims are tax payers and consumers.



  
 

Thursday, November 27, 2025

Art Market: Highlights From Fall Auctions 2025 @ Phillips New York

 


(Drivebycuriosity) -  It`s November again and the world`s largest auction houses have their annual huge fall auctions in Manhattan. This post is about the galleries @ Phillips, the number 3 of the global auction houses (phillips ). The company has the reputation to be more focused on contemporary works than her bigger competitors and to show more cutting edge art by up-and-coming artists. But they also had some big names. I display here some of my favorites from the exhibition - as usual a very subjective selection.

  This time the most interesting exhibits were fossils. On the top of this post you can see “Cera” - The Most Complete Juvenile Triceratops Skeleton Ever Unearthed, circa 66 Million years old - Cera was discovered in 2016 in the fossil-rich badlands of Perkins County, South Dakota.






Cera is followed by "King Gidhora" - A very fine subadult Pteranodon -mImmature male from the Smoky Hill Chalk (Niobrara Fm. Western Kansas
Upper Cretaceous circa 87 Million Years Ago 60 1/2 x 132 7/8 x 1 in. (153.7 x 337.5 x 2.5 cm).

 



Above follow the "Guardian of the Fossil Lake" - Exceptionally Large Amia Fossil - Eocene, 50 Million Years Ago - Kemmerer, Wyoming, USA
96 x 46 in. (243.8 x 116,8 cm) & "The Ouroboros-Steneosaurus bollensis" - A world-class specimen preserved without restoration Lower Jurassic (Toarcian, "Lias &") circa 180 Million Years Ago - Urweltsteinbruch Holzmaden Quarry, Baden-Württemberg, Germany length of fossil 66 7/8 in. (170 cm) slab 70 7/8 x 70 7/8 x 2 3/4 in. (180 x 180 x 7 cm).

 

                         Animal Abuse 

 



The image above this paragraph tells a heartbreaking story of animal abuse: Walton Ford`s "Guilty Elephant". Apparently the innocent animal gets electrocuted as victim of a cruel physical experiment.  

Ford specializes in animals, often in historic settings. I admired his majestic Berber Lions at Gallery Kasmin (my report ) and Milanese heiress Luisa Casati with her fancy leopards at Gagosian ( driveby).

 



Above follow 2 images by German artist Sigmar Polke: "Untitled (Crime Story-Happy End)" plus "Untitled".

 

                            Islamophobic? 


  



Above this paragaph you can see: Jll Mulready`s "Schindler House"; Reggis Burrows Hodges`"Swimming in Compton: Look Ma'"
 & Ben Aston`s "Chasing Waterfalls". 

 


Last but not least Banksy. Will the woke and the libtards call this work Islamophobic? 

Stay tuned 

Wednesday, November 26, 2025

Books: Tidbits From "Why Machines Learn: The Elegant Math Behind Modern AI"

 


 (Drivebycuriosity) - AI is eating the world. There are not many parts of the economy that are not yet influenced by Artificial Intelligence and its influence is rising with exponential speed. Anil Ananthaswamy describes in "Why Machines Learn: The Elegant Math Behind Modern AI" how mathematicians developed the building blocks (algorithm) for ChatGPT and other versions of machine learning ( amazon).

Ananthaswamy narrates the evolution of AI, the breakthroughs, the setbacks and the fermentation process of thinking. Scientists have been developing algorithms that can learn to discern patterns in data without being explicitly programmed to do so. "Machines can learn because of the extraordinary confluence of math and computer science, with more than a dash of physics and neuroscience added to the mix".

The book is full of information, spiced with mathematics & anecdotes. This humble blog can only present some tidbits here:  

 

                   Inspired By Biology

 

The AI developers are inspired by biology and evolution. For instance: "Even fruit flies are thought to use some form an algorithm to react to odor: When a fly senses some odor and another odor most like it for which it already has the neural mechanisms to respond behaviorally."  

The scientists noticed that "our brains learn because connections between neuron strengthen when one neuron`s output is consistently involved in the firing of another, and they weaken when this is not so". 

Psychologist Frank Rosenblatt designed "artificial neurons that reconfigure as they learn, embodying information in the strength of their connections".  The machine (the algorithm), once it had learned, contained knowledge in the strengths (weights) of its connections. 

 

              Learning About Patterns 

In 1982 the American Physicist John Hopfield declared that neurobiological systems - our brains included - are dynamical and can be mathematical modeled as such. Given one instance of data, the network can memorize it. But an awful lot of the learning our brains do is incremental: Given enough data, we slowly learn about patterns in them. 

An LLM (Large Language Model) is an example of generative AI. It has learned an extremely complex, ultra-high-dimensional probability distribution over words, and it is capable of sampling from this distribution, conditioned on the input sequence of words. There are other types of generative AI, but the basic idea behind them is the same: They learn the probability distribution and then sample from the distribution, either randomly or conditional on some input, and produce an output that looks the like training data.   

Ananthaswamy writes "Every deep neural network today - with millions, billions, possibly trillions of weights - uses some form of gradient descent for training". Google AI explains: "Gradient descent is an iterative optimization algorithm used in machine learning to find the minimum of a function by taking steps in the opposite direction of the function's gradient. It works by repeatedly calculating the gradient of a cost function and updating the model's parameters (like weights and biases) to reduce the cost. This process is repeated until a minimum is reached, which can be a local or global minimum".

 

                    Listening To Neurons

 

ChatGPT & Co. are based on huge networks. A network could solve a problem or have a function that was beyond the capability of a single molecule and a linear pathway. In our network each neuron is listening to every other neuron. Neuron 1 is getting inputs from 99 other neurons. Then neuron 1 will calculate the weighted sum of the inputs from 99 neurons and will set its output to 1+ if the weighted sum is greater than zero; otherwise to -1. Of course, these network are simulations inside a computer, so they don´t really have a physical energy. But one could use this formula to calculate a number that`s analogue to physical energy.  

The French-American computer scientist Yann André Le Cun said: "I always thought that human engineers would not be smart enough to conceive and design an intelligent machine. It will have to basically design itself through learning. I thought learning was an essential part of intelligence."

A team member who was training the neural network went on vacation and forgot to stop the training algorithm. When he came back, he found to his astonishment that the neural network had learned a general form of the addition. It`s as if it had understood something deeper about the problem than simply memorizing answers for the sets of numbers on which is was being trained.

 

               Broadly Accurate Predictions 

If the network works on something for long enough time, which is a very long time, many orders of magnitude longer than it takes to memorize the training set, then suddenly they figure out the deeper underlying patterns and are able to generalize and kind of make broadly accurate predictions about the other problems in the dataset. 

These large networks are extremely adept at machine learning, meaning figuring out the patterns that exist in data (or correlations between inputs and outputs) and using the knowledge to make predictions when given new inputs.  

Most of the mathematics is beyond me, but Ananthaswamy reintroduced me into the magic of calculus - and I learned much more. Anyway, the book helps me to follow the discussion about AI which is getting more important every day.  Recommended! 

Tuesday, November 18, 2025

Art Market: Tidbits From Fall Auctions 2025 @ Sotheby`s New York

 


(Drivebycuriosity) -  It`s November again and the world`s largest auction houses have their annual huge fall auctions in Manhattan.  This post focuses on the auction galleries  @ Sotheby`s (sothebys).

They had moved from the banks on the East River to Madison Avenue, close to Central Park. For financial reasons they gave up their huge tower and squeezed their administration and the auction galleries into the smaller Breuer Building, famous for its "Brutalist" architecture.  



Unfortunately the new location and apparently a huge buzz on Instagram and other social media attracted quite a crowd and I had to stand in line about 30 minutes to be allowed in, the first time at any auction gallery visit. There were no crowds at Christie`s & Phillips, who had their autumn auctions as well. The crowd, apparently steered by influencers on Instagram and other social media, clustered in some rooms and made them barely accessible, but many remarkable works, including some Magrittes, were ignored. 




Anyway - as usual - quality & quantity of the displayed art works were overwhelming and admission was free. I display here just my favorites, a very subjective selection. 

I start the post with 2 works by Mark Tansey. I have been a sucker for his surreal compositions for a while. The first image is called "The Myth of Depth". Their website explains: “The artist transposes the biblical miracle of Christ walking on water into a contemporary drama of twentieth-century art history, recasting its spiritual protagonists as the champions of Abstract Expressionism and its theoretical apostles. The daring Christ figure becomes Jackson Pollock, striding audaciously across the rippling teal surface, while in the lifeboat to the left, Clement Greenberg lectures an uneasy congregation of Kenneth Noland, Helen Frankenthaler, Mark Rothko, Robert Motherwell, and Arshile Gorky".   

The second image is called "Nature´s Ape". Fortunately both paintings didn`t get the attention of the Instagram crowd.

 

                          Concealed Orgies 

 



Above this paragraph follows another favorite of mine: Dorothea Tanning with "Interior with Sudden Joy". I discovered her surreal worlds at show at London`s Tate Modern in Summer 2019 (driveby ).  

 


Cecily Brown likes to paint concealed orgies. Above you can study her "High Society". I had enjoyed her exhibition at Paul Cooper gallery in 2017 ( driveby).

 



 

Above are 2 of René Magritte`s masterpieces: "La Représentation" & "Le Symbole Dissimulé". 

 



Above follow Neo Rauch with "Production"  & Huddon Sundbloom with "Around the Corner from Everywhere".

 


I also admire Andrew Wyeth´s realist paintings: Above his "East Waldoboro". 

 



Aren`t they cute? Maurice Dennis`"L'ORATORIO POUR 'L'ÉTERNEL PRINTEMPS" 

 


Carlos Enriquez`s "Banistas" remind me August Macke and other representants of German Expressionism. 

 

                               Bohemian Life 

 




Above you can see Pierre Auguste Renoir`s  "Femme Nue` Assise"; Paul Devoux`s "Composition"; Phillip Pearlstein`s "Nude on Kilim Rug"  & Hans Bellmer`s "Les Bas Raves".

 


And last but not least Richard Overstreet`s "Scenes from Bohemian Life - No. 5". 
 

Stay tuned