Human intuition struggles to grasp exponential growth because our brains did not evolve in a world where things grew that way. When we look at trends up close, they appear as simple lines. To see the true exponential curve, we must zoom out and view the long arc of history. This lack of intuition makes it difficult to prepare for rapid technological shifts.

History shows that those who resist technological change often have valid concerns for their own well-being. Tomás explains that the Luddites were right to be fearful. Most lost their livelihoods, and any alternative work they found was rarely better. While technological progress benefits society over decades, the individuals living through the transition often pay a heavy price.

Luddites were actually right. Most of them lost their job, and the alternative that they had was actually not better if they found one. And so it's something that was better over the decades. It's great for us. It wasn't great for them.

Humans struggle to understand exponential growth because our brains evolved in a world that was primarily linear. While we have a natural sense of linear progression, we lack an intuitive grasp of functions that compound rapidly. This often leads to a mindset where quantities are perceived as one, two, three, or simply a lot. This psychological limitation extends to statistics and probability. We can process a single tragedy because we evolved in small groups, but large statistics often feel abstract and meaningless.

I don't think we've evolved in a world where anything grows exponentially. Nothing goes this way. We have a sense of linear growth, maybe exponential growth in what fruit flies like, how they reproduce themselves, things like that, but very, very few otherwise. And so I don't think we have an intuition at all.

This gap in intuition creates significant differences in how people approach business and investing. Most people are deterministic thinkers living in a probabilistic world. In venture capital, investors rely on power laws where they expect a single company out of a hundred to return the entire value of a fund. This focus on massive scale leaves an opening for others. Jim explains that there is an arbitrage opportunity in funding companies that are highly profitable but have a total addressable market that is too small for major venture capital firms to consider.

The podcast market appears saturated, but it remains full of opportunity. Many creators fail because they focus on reaching a massive audience immediately. Tomás argues that the desire to grow huge is actually a limiting factor. A more sustainable path involves targeting specific niches. An audience of 25,000 to 50,000 listeners is enough to support an ad-based model and sustain a creator who is passionate about their subject.

The idea that you really want to grow huge might be the limiting factor there. I think that there are many types of podcasts in niches where you can grow a perfectly respectable audience if you have the right guests, you have the right conversations.

Patience is a major hurdle for new creators. About 90 percent of podcasts do not make it past seven episodes. This failure often stems from hyperbolic discounting. People want to see growth every quarter instead of committing to a long period of time to build an audience. While the next major success story will likely look different from giants like Joe Rogan or Warren Buffett, there is still value in studying their mental frameworks. The goal is to synthesize that knowledge while carving out a unique path.

During the start of the 2020 pandemic, Tomás Pueyo found himself in a surreal situation. While managing a crowded household in San Francisco with three children and a pregnant wife, his articles on exponential virus growth reached tens of millions of people. He gained an edge simply by reading primary research papers and understanding exponential math, something few others were doing at the time. This led to the bizarre reality of a person with only weeks of epidemiology experience advising world leaders on their national strategies.

I think it tells you a lot of the world and the level of knowledge that is available to governments that I was able to get into that kind of world and advise these governments. How many things must have failed for me to be able to be here and actually be the one that was most knowledgeable because I was not the most knowledgeable in that room.

This experience highlighted significant flaws in how modern governments operate. Current democratic systems were designed centuries ago for a world with very narrow communication bandwidth, where voting every few years was the only way to send information to leaders. Today, technology allows for the transfer of massive amounts of data constantly. This suggests a potential shift from electing leaders to creating coordination mechanisms that aggregate collective information, similar to how Wikipedia replaced the traditional encyclopedia model.

We are now living in a world where you could send gigabytes of information every day, every meeting, from every person. Before we had to elect leaders to make choices for us because the bandwidth of information was so narrow. You don't need to do that anymore if you have this ability to send and receive information.

Resistance to these new systems is often a matter of cultural lag. Traditionalists find it difficult to imagine replacing established nation states or democracies with new community models. Change in these areas often follows the idea that progress happens one funeral at a time. The old guard passes away and younger generations who grew up with these new concepts take over.

Citizen juries offer a way to evaluate policy by having randomly selected people listen to two sides debate with unfiltered data. This model works because it taps into the trusted tradition of the jury system. When regular people get information in an unfiltered format, they often make very good decisions that can even flip public opinion.

Most leaders believe it is hard to move people's opinions. As a result, they do not even try. Politicians often follow the Overton window rather than trying to shift it.

Tomás points out that leaders often fail to change minds because they lack storytelling skills. During the early days of the pandemic, UK officials believed the public would never accept a lockdown. By shifting the narrative to the potential for a catastrophe, people became more open to drastic measures. Shifting the conversation requires focusing on the consequences and using conflict as a storytelling tool.

A superior version of this system might involve crowdsourcing information. Instead of just two individuals presenting data, a group or the general public could provide the best arguments and evidence for each side to use. This keeps the narrative conflict while expanding the amount of information available.

If you say we are going to eliminate democracy, everybody is going to raise their hands and say no way. But if instead you say our current democracy is not real democracy, you are opening people's minds to having another take on what the structure of the organization could be.

True democracy requires better mechanisms for aggregating information. Direct democracy has failed in places like California because the current structures do not work well. We need to frame new models not as a replacement for democracy, but as a way to give people a real voice and remove corruption from the system.

Social media platforms like Twitter have the potential to function as a global intelligence network. These platforms allow people to find one another through shared interests and specific ideas. AI agents can further support this by managing the logistical challenges that arise when networks scale. A key insight into this process involves evolutionary biology. Humans did not evolve to naturally understand exponential growth or rapid scaling. This gap in our biological understanding makes it difficult to manage the speed of modern change.

Experimentation and iteration are how you get to a better place. You get a better explanation. But you can only get that better explanation by trying a bunch of different things.

To overcome these biological limitations, it is necessary to focus on experimentation. Progress comes from trying many different small ideas and iterating based on the results. This approach allows for the discovery of better explanations and systems. As long as these experiments are not harmful, trying a variety of approaches is the only way to find a better path forward.

Tomás suggests that Twitter may already function as a collective brain. Individual users act as neurons in this model. A single neuron does not understand what the entire brain is thinking. In the same way, individuals on a platform may not realize the larger thoughts or decisions the network is making. The structure of social media mirrors biological neural networks. One person sends information to many listeners. This is similar to how axons and dendrites transmit signals.

Information flows through Twitter the way it flows through the brain. The most interesting ideas get sent and amplified more and more. It could be that we are neurons inside of Twitter and we do not realize that it is already thinking, but it is.

If Twitter is a brain, it makes massive decisions. It may have a big influence on who becomes the President of the United States. It is possible that the platform is already a thinking entity. Human users are simply the neurons facilitating its thoughts without realizing it.

The world currently lacks enough competition among nations because each of the roughly 200 existing countries holds a monopoly over its own geography. Most populations do not move frequently, which means governments have very little incentive to change or improve. Tomás suggests that the rise of network states could be a vital solution to this problem. When countries have to compete for their citizens, it drives value into governance. This is visible in history when the United States felt a strong push to innovate because it had a clear opponent in the Soviet Union. Since that competition faded, the drive to improve governance has also slowed down.

The idea is that you do need competition between countries. That's where most of the value is going to come from, from governance. Because otherwise, with the monopolies that they have, countries have zero incentive on changing that much.

Geography often dictates how much a region innovates. Europe's landscape allowed for independent developments while keeping nations close enough to constantly challenge each other. This proximity forced everyone to stay at the edge of technology just to survive. In contrast, the geography of China promoted unity. While unity brought peace, it also caused the nation to look inward and stop exploring. The goal for the modern world is to find a way to keep the competitive drive that spurs innovation without the destructive downsides of actual war.

You had to keep at the edge of technology and innovation because otherwise your neighbor was going to kill you.

The difference between systems is often obvious when looking at examples like North and South Korea. They represent a clear test of how different systems lead to different outcomes for the same people. Even with this evidence, many young people today are frustrated with the current market system. This frustration is often rooted in real issues like the inability to afford a home or uncertainty in the job market. While the data might favor free markets, these legitimate grievances make alternative systems look more attractive to those struggling to get by.

A potential solution for solving complex social issues is a juried system where participants are selected at random. This approach would allow groups with opposing ideas to present their cases to a jury of peers. It offers a way to find collective solutions for the real problems young people face today, such as the inability to afford a house or limited mobility.

The appeal of socialism often stems from its short term success. In the beginning, it provides many benefits by using existing savings and established systems. However, it can take decades for the actual pain of these policies to be felt. The narrative is beautiful because it suggests everyone will be nice and help each other. But in practice, these systems often fail after the initial period of prosperity.

Socialism works really well in the short term because you give all the benefits and you can still use the money that you saved and the systems. It takes decades sometime for the pain to be suffered. Venezuelans were really happy in the first few years or even decade of Chavez.

This trend toward socialism is linked to the overproduction of elites. Many graduates spend years getting degrees and accumulate massive debt, only to find they cannot get a job. They expected to be part of the elite, but now they feel like they are nobody. This group often becomes the primary driver for socialist policies.

Artificial intelligence will likely accelerate this trend. AI automates white collar jobs, starting with entry level positions that are easiest to replace. This gives highly specialized and educated people more leverage and productivity, while making it harder for new graduates to enter the workforce.

It is already faster to work with an AI than to work with an entry level person. So I think one of the very first consequences of AI in the short term is a move towards socialism which AI might provoke.

The value of a college degree is currently at a historic low. For many people, a degree has become an expensive waste of time that serves more as a mandatory certification than a useful education. In the early 20th century, only a small percentage of Americans attended college. Today, the majority of people go to university, which has led to a saturation of credentials. A degree often just suggests that a person can play by the rules and act as a competent individual.

I think a degree suggests competence. It suggests that you can play by the rules that you might not agree with of that university and that you are a competent individual. I think proof of work in today's environment is the answer. I haven't hired anyone based on their degree. Not one person. It was all proof of work.

Much of modern education is about signaling rather than actual learning. It shows an employer that a student is intelligent, can work hard, and can do what they are told. This creates a competitive race where everyone feels they must get more education to stand out. When only a small portion of the population has a degree, it is a high signal. When most people have one, the signal becomes meaningless. This leads to a waste of resources for students who are not learning practical skills.

Tomás points out that AI offers a solution to this problem through one on one tutoring. This addresses Bloom's two sigma problem, which shows that personal tutoring can move an average student into the 98th percentile of performers. Historically, this was too expensive to scale for everyone. However, AI now makes it possible to provide high quality, individualized instruction at a low cost.

Most of education is signaling. You are not learning. You are just showing that you are intelligent, that you can work hard, and you can do what you are told. That pushes you into a race because if everybody else does it, then you need to do it too. We can eliminate the cost of education and credentialism by pushing people to one on one tutoring with AI.

Humans are deeply driven by status and prestige. Historically, options for high status were limited to fields like the arts, academia, and government. In the past, government service was seen as a prestigious way to contribute after a successful career. This attracted top talent and very capable leaders. This shifted away from traditional European systems where status was often inherited. A famous example of American independence was the decision for diplomats to never bow to foreign royalty. This broke long standing rules of etiquette to signal a new social experiment.

New avenues for prestige are emerging today that reward merit over tradition. Tom
s notes that being an influencer is a highly competitive and meritocratic way to gain status. Unlike traditional education, which often rewards simply putting in time, content creation requires constant analysis and improvement. If you do not produce the best content, you will not stay at the top. This shift allows people to reach high status through alternatives to the standard educational path.

AI and the internet are allowing things that are going to undermine some of these fundamental problems of education by giving status to those who really deserve it, rather than the ones who just toiled for a long time to get it.

The rise of the solopreneur and the digital nomad shows how the internet has collapsed the traditional boundaries of time and geography. Even so, physical location remains vital to history. The success of America is partly due to the specific personality types of people who chose to migrate there. It takes a unique, high energy individual to leave behind a thousand years of family history to start over in a new country. This self selection process gave the country a distinct psychological edge.

The United States possesses what is likely the best geography in the world. Its defensibility is built into the land with two massive oceans and neighbors that pose little threat due to climate or terrain. Canada is too cold to be a threat and Mexico is dominated by mountains and deserts. These factors make it difficult for neighbors to develop as quickly or to pose a serious military threat to the American mainland.

The Mississippi River basin is a core asset because it contains more than half of the world's naturally navigable waterways. Because the basin is flat and fed by water from the Rockies and Appalachians, transportation is exceptionally easy. This is critical because transportation costs are the single biggest driver of wealth. Cutting these costs in half can multiply a region's wealth by up to sixteen times. Having a natural network like this is a massive geographic advantage that requires very little maintenance compared to man-made infrastructure.

The cost of transportation is the single biggest driver of wealth. If you half the cost of transportation, you can multiply the wealth of a region by up to 16 times. And it is crazy. And just that is a geography. It is a question of geometry is just a fact.

Tomás suggests that the United States is rich because it has both superior hardware and superior software. The hardware is the physical land, including the natural network of protected coasts and fertile soil created by ancient seas. Even with similar hardware, a country can struggle. Argentina is a mirror image of the United States with similar rivers and flat, fertile land, yet it remains significantly poorer. This highlights that while geography is a foundation, the systems and technology built on top of it are equally vital.

In contrast, many equatorial countries face geographic hurdles that are nearly impossible to overcome. In Colombia, for example, the population must choose between living in the jungle or the mountains. The jungle brings extreme heat and disease, while the mountains make trade and infrastructure prohibitively expensive. This creates a trap where building roads and moving goods is so difficult that trade is stifled regardless of the political software in place.

Mountains naturally foster conflict because they isolate people from one another. This physical separation causes cultures to diverge over time. In Ethiopia, for example, the land is fertile and receives plenty of rain, which allows for a population of 120 million people. However, the geography splits these people into many different ethnicities living in separate valleys.

They get a lot of rain, so the land is very fertile. But every ethnicity, every valley has a different ethnicity. They all hate each other. You don't have train because infrastructure is too expensive.

Tom
s explains that this isolation makes it incredibly difficult for a country to progress. Building infrastructure like railroads is prohibitively expensive in such rugged terrain. Without the ability to connect different regions, geography becomes a hole that is very hard for a nation to escape.

Singapore serves as a unique example of a successful country located near the equator. Its success was heavily dependent on a specific technology. Lee Kuan Yew once noted that Singapore would have been impossible to develop without air conditioning. Before AC, the intense heat limited productive work to the early mornings and evenings. With controlled indoor climates, productivity can continue throughout the entire day. While AC requires significant electricity, the falling costs of solar power and batteries are now making this technology accessible to poorer regions that lack traditional power grids.

Singapore is impossible without AC. It is so important for the development of Singapore because otherwise you could only work in the morning and in the evening. Once you have AC, you can work through the day and be substantially more productive.

Geography also presents health and logistical challenges. Mosquitoes remain the biggest killers of humans and a primary source of disease for both people and animals. Tomás suggests that eradicating certain mosquito species is a necessary step for tropical development. Furthermore, mountainous countries like Colombia and Ethiopia face high costs for moving physical goods. While they still need to invest in physical infrastructure, tools like Starlink allow them to move information and develop digital economies without needing expensive cables.

Historical parallels exist in the United States. Following the Civil War, the American South was one of the poorest regions in the country. The introduction of air conditioning fundamentally transformed the South and Southwest. This simple technological shift enabled the massive economic growth seen in those regions today. Brazil faces similar hurdles with its terrain and soil. Because tropical rain leaches nutrients from the ground, Brazil has spent decades investing in fertilizers and roads to overcome these natural disadvantages.

Geography and climate often act as the hardware that shapes the software of human society. During the American Civil War, the climate in the North supported low-work crops like wheat and corn. These crops allowed small families to run large farms independently. This environment naturally promoted entrepreneurship and the use of machinery. In contrast, the South relied on crops like cotton and tobacco, which required significantly more labor and were difficult to automate due to the muddy soil. These physical factors pushed the two regions toward very different social systems.

One climate pushed in one direction, the software, and in the other one in the other direction. We don't take that into consideration enough because otherwise there is a narrative of potentially superiority. Maybe you're better because you were lucky enough to have a hardware that led you to this software.

Human ingenuity has since allowed us to overcome geographical limitations. Cities like Phoenix and Tucson are only possible because of air conditioning and water management. There is still potential to reshape our environment intelligently. For example, reviving the Salton Sea by building a canal could create new communities and value. We should look at geography as something we can shape to be more prone to human success.

We are still in the early stages of adapting to modern technology. For most of history, life changed very little between generations. Tomás mentions his grandfather was born in a world of horses in 1885 but lived to see the moon landing. This rapid shift created the first broadcast mediums. For the first time, one person could address millions of people at once. While this is a major innovation, it is also a dual use technology. It makes life better, but it also makes authoritarianism easier by giving leaders a massive canvas for influence.

This was the first time in human history that a single individual had addressed millions and millions of people. That thing alone, just think of the enormity of that.

The printing press was a primary force in dismantling the feudal system because it broke the church's monopoly on information. Before the press, the church controlled the flow of ideas using Latin as a gatekeeper language. Once information could be printed in local vernaculars, it became impossible to center decision making in a single place like the papacy. This shift also birthed the modern nation state. Books were printed in large cities where the customers were, causing languages like French and Spanish to standardize around the dialects of Paris or Madrid. These shared languages created units of thought that allowed ideas to spread effectively within a group, forming the foundation of national identity.

I believe the future of politics is not politicians that get good at social media, it's social media people who get good at politics.

Technology continues to reshape power structures through the cost of distribution. Radio allowed for the distribution of voice at a marginal cost of zero. Unlike books, voice carries an emotional weight that was necessary to fuel the rise of totalitarian leaders in the 20th century. Today, we see a similar shift where the future of politics belongs to people who are masters of media first. A successful leader must now balance two separate skills: communication and substance. While the best communicators have typically held power in recent decades, Tomás argues that the next generation of politicians will use their massive followings for more than just broadcasting. They will treat their audience as a resource for crowdsourcing policy ideas while simultaneously using that same platform to exert influence. This combination of storytelling and collaborative policy making represents a fundamental change in how society will be governed.

The movie Broadcast News captures the tension between deep knowledge and public presentation. One character is a genius who knows everything from Portuguese poetry to political history. However, he lacks the charisma to be on television. When he finally gets his chance, he suffers from intense nerves and becomes tongue tied. The other character is charismatic but lacks substance. To solve this, the show gives the charismatic man an earpiece so the genius can feed him information.

The solution was they take William Hurt, who is an idiot, and they give him an earpiece. It is a perfect example. That might be the way it works. It could be the future.

Tomás notes that this dynamic suggests a future where intelligence and delivery are separate functions that must be combined. While some people can do both, many systems will likely rely on this hybrid model. This setup raises questions about how AI will eventually bridge the gap between having information and presenting it effectively.

AI dramatically accelerates the speed of idea generation and content creation. In the past, creating media required significant capital. Now, small operations can use AI to produce better ideas and communicate them more effectively. Tomás suggests this reduces the cost of policy generation. This could lead to better communication, but it also carries risks for politics. There is a fear that AI will empower politicians who prioritize social media reach over substantive policy. These individuals may use hatred and polemics to fuel their influence. This follows Gresham's Law, where the bad drives out the good. In political discourse, polarized and flashy content can easily overshadow thoughtful ideas.

AI is going to dramatically accelerate the level of idea generation and content creation. Whereas before, to create a media you needed a massive amount of money, you don't anymore. You can have small operations that can quickly come up with substantially better ideas and get an audience reasonably fast.

Despite these risks, AI provides incredible leverage for research and creativity. For example, researching art history for a book took only one day with AI, a task that would have previously taken years. Historically, every major innovation faces a backlash from those who fear displacement. Socrates famously worried that writing was a bad idea. When photography emerged, people thought painting was dead. Instead, photography freed painters from the need for realism, leading to movements like abstract expressionism. New tools often supercharge creators rather than replacing them.

Every single innovation gets introduced and the backlash is huge. We are seeing it now with AI. When photography came out, everyone said painting was done. Of course, the opposite happened. Painters were freed from mimicking realism and were able to express many different things.

Technology often faces initial resistance from schools and institutions. In the 1970s, many schools banned calculators instead of embracing them. Today, AI is transforming work in a similar way. Tomás mentions that AI now contributes to 60 percent of his research value compared to just 1 percent a year ago. This shift has resulted in deeper articles and lower resignation rates within his team.

History suggests that technological shifts are rarely painless for the people living through them. While we view the Industrial Revolution as a success, the Luddites who lost their jobs suffered significantly. The transition was good for future generations but bad for the workers at the time. The current wave of automation is moving much faster than past shifts. It took 125 years to automate agriculture. AI could automate entire industries in just a few years.

The speed of destruction is going to be substantially faster than the speed of job creation. In the past, it took 125 years to go from 70 percent of the population doing agriculture to 2 percent. We had time to create new industries. Now, the speed of destruction is going to be dramatically faster.

Specific fields like law might see a temporary boom before a sharp decline. As the cost of legal services drops, volume will increase. Eventually, the market will saturate and the need for human lawyers will fall. This rapid cycle of growth and destruction requires new social safety nets. One proposal involves giving every child an index fund at birth to allow for decades of compounding growth.

Universal Basic Income is often debated, but retirement serves as a successful real-world example. People who are unhappy while unemployed often become very happy once they are retired. Their daily activities might not change, but the narrative around their status does.

Retirement is UBI that starts at 65. Do people love retirement? They love it. If you say we should take away retirement, they say do not touch my retirement. It answers the question of what would happen if we give people this money.

Universal basic income is often feared as something that will corrupt society. However, it functions much like retirement. Most people view retirement as a good thing even though it provides income without work. While some people might lose their sense of meaning without a job, many others use that time to pursue what they truly want.

It is not going to be morally corrupting everybody to have UBI because it is not morally corrupting anybody to do retirement. Lots of people when they retire start doing everything they wanted to do. And that is fantastic.

Tomás points out that the real problem is how to pay for it. In the United States, only about 45% of the total population works today. If automation leads to 50% unemployment, the math for redistribution breaks down. If only 20% of people are working, those individuals would have to pay massive amounts in taxes to support everyone else.

High tax rates create a secondary problem. The people generating wealth might simply choose to leave the country. This makes it difficult to enforce redistribution from a small group of wealth generators to the rest of the population.

The amount of taxes that you need to do this redistribution can work when you have 5 or 10% unemployment. But as you have 30, 40, or 50% unemployment, they do not work anymore. Not only that, but with that level of taxes, people will want to leave.

Regulation is often treated as a default solution, but it should be viewed as a specific tool. When overused, it becomes a process that slows down progress. Moving past this over-reliance is necessary to allow technology and capitalism to thrive. These are the most powerful forces for growing the economy and increasing human happiness.

Regulation is a tool that has been overused and you need to be very thoughtful about it in order to unleash technology and capitalism, because those are the biggest forces in human development.

Our current version of democracy is only a starting point. It is a basic model that has not fully evolved. A more advanced system would ensure that every person can add their unique information to the governance process. We need better mechanisms to gather this collective input and use it to make better decisions for society.

Democracy is not what we've been doing. What we've been doing is a very basic version of it. And the better version is one where everybody should be adding information to the system and we need a mechanism to take that information in and make the decisions.