Joe Rogan Experience #2525 - Nick Bostrom
In a Nutshell
Nick Bostrom argues that superintelligent AI could arrive within a few years, triggering an intelligence explosion that reaches technological maturity within a decade and automates virtually all human work. This would eliminate wage labor as a necessity, forcing society to redesign education around cultivating meaning, curiosity, and artificial purposes like games rather than job training. The outcome hinges on solving AI alignment before competitive pressures or governance failures produce catastrophic results, while extended lifespans and biological redesign would further transform what it means to be human.
These notes were generated by AI and may contain inaccuracies.
Joe Rogan welcomes Nick Bostrom back to the podcast, referencing their discussion from approximately six years prior on simulation theory and its probability relative to base reality.
Bostrom notes that AI has transformed from a peripheral topic into a dominant civilizational concern within just six years. Rogan compares the rapid integration of AI to how the internet gradually became embedded in all aspects of society. Bostrom describes monitoring AI developments as essentially a full-time job.
Two primary perspectives exist: one warning that AI will become a superior intellect that supplants human control across society, and another optimistic view, exemplified by Elon Musk, predicting universal high income, eradication of poverty, elimination of third-world conditions, and removal of the necessity to work for basic survival.
Rogan observes that many proponents of the optimistic view have significant financial investments in AI companies, which may bias their assessments.
Bostrom states that the ultimate trajectory remains unknown. He outlines potential scenarios involving massive productivity gains across medicine, entertainment, environment, and travel, creating a "tsunami of wealth" that lifts living standards globally. In advanced scenarios, machines would perform all physical and mental tasks more effectively and at lower cost than humans.
Bostrom identifies multiple levels of disruption. The superficial concern is job displacement and the need for worker retraining or temporary employment insurance. At deeper levels, the question shifts from "which jobs remain" to whether any human-performable tasks will persist.
Bostrom suggests that roles where consumers specifically prefer human execution may persist, listing priest, prostitute, and politician as potential exceptions.
Once automation reaches comprehensive capability, deeper issues emerge concerning meaning, purpose, and the nature of human experience. Bostrom questions whether experiences must be physical and measurable or whether rich virtual experiences can constitute valid fulfillment.
Rogan raises the possibility of matrix-like virtual realities becoming preferable to physical existence.
Bostrom acknowledges individual variation in preferences, noting some people will always prefer climbing actual Mount Everest over simulated versions. However, he recognizes the risk that virtual environments could become so compelling that individuals effectively disengage from physical reality.
Rogan cites smartphone usage averaging six hours daily as evidence of how even modestly engaging digital environments can dominate attention. He predicts that sufficiently superior virtual realities would attract mass adoption.
Bostrom distinguishes between passive zoning-out virtual experiences and active, goal-oriented ones. He notes that most popular video games involve intense, first-person action rather than passive floating experiences.
At technological maturity, humans could potentially redesign their own reward systems and preferences. Bostrom suggests individuals might choose to derive pleasure from contemplating universal beauty, appreciating human goodness, or solving abstract mathematics rather than from current sources like first-person shooters or substance use.
Rogan argues that human appreciation for peace, love, and goodness depends on the existence of their opposites—crime, war, and hate. He questions whether eliminating struggle would fundamentally alter what it means to be human, given that art, music, and literature emerge from the full spectrum of human experience including pain and conflict.
Bostrom identifies a core tension: humanity pursues technological solutions to all problems, yet the logical endpoint—perfect automation eliminating all necessity for human effort—appears unpalatable to many. Despite this, the trajectory toward solving all problems through technology appears both probable and desirable.
Rogan describes a potential future with zero murder, violence, crime, lying, and corruption, with humans operating in perfect coordination. Bostrom acknowledges that while objectively superior, such a condition might appear bland when contrasted with the uncertainty and contrast that currently define human experience.
Rogan questions whether jobs are necessary or merely a historical construct for securing housing and food. He notes that most people work primarily to meet basic survival needs, and questions what happens when that requirement disappears.
Bostrom characterizes traditional wage labor as requiring individuals to sell approximately one-third of their waking hours to meet necessities. Rogan observes that profit maximization often leads employers to minimize employee conditions and compensation.
Bostrom argues that freedom from wage labor would represent significant liberation and restoration of personal dignity through control over one's time and attention.
Rogan notes that humans are biologically predisposed to conserve energy, which historically aided survival but could lead to depression and purposelessness if all external demands disappear. People would need to actively cultivate purpose.
Bostrom references the British aristocracy as a historical example of individuals with independent wealth who pursued politics, art collection, gardening, and social engagement rather than wage labor. He notes both the negative stereotype of aristocratic excess and the positive examples of amateur scientists and eccentrics who contributed through their freedom.
Current education functions as a conveyor-belt system producing standardized workers. Bostrom proposes that in a post-work society, education would need complete redesign to teach skills for meaningful leisure: conversation, art and music appreciation, hobby development, physical wellness, nature connection, goal-setting, initiative-taking, friendship cultivation, and spirituality.
EJ Tacket made $437,540 for the 2025 season with several others earning between $190K and $270K in prize money alone. The top tier guys make a good living, but the structure is a very thin peak where most participants do not achieve high earnings.
In a world where basic needs like food and housing no longer require labor, money factors may drop out of decision-making, leaving interest as the primary driver. People compete for prestige and status, as seen in groups of friends comparing golf scores. Golfers often think about the game more than work, and some comedians' careers stalled because they prioritized golf over writing jokes and performing.
Society would need to teach people the value of curiosity, finding personally interesting pursuits, and education for pure satisfaction rather than external requirements. Natural interests vary—some gravitate toward mathematics, others toward history—leading to self-directed learning. This approach could create a more balanced society where individuals pursue their interests instead of working at disliked jobs. Young people should be taught to pursue curiosity rather than suppress desires for novelty.
Curious people exist, but individuals differ in wiring—some get bored easily, others find everything fascinating, and some experience natural depression or low mood. Coaching people early in exercise, yoga, running, and proper diet could dramatically improve mood and reduce reliance on medication. Depression is often tied to poor physical care, processed foods, and lack of nutrients rather than purely psychological factors. Teaching basic physiology and momentum-building activities should be part of human education.
Hyper-intelligent AI running society could eliminate most unpleasant jobs required under current economic structures. Historical needs—like factory workers assembling iPhones, designers, and marketers—would diminish. Society would need re-education on what it means to be human, moving beyond an education system designed to produce factory workers.
Humans evolved drives to conserve energy and eat maximally, which cause metabolic problems in environments with constant food access. The hedonic treadmill—where happiness spikes fade back to baseline—makes sustained contentment difficult. These mechanisms were necessary for survival but become dysfunctional once scarcity is eliminated. Cultural changes would first be needed to equip people for leisure, followed potentially by deeper biological transformations.
Solving aging could allow lifespans of thousands of years, but current human memory and cognitive flexibility may not support this without becoming stale or stuck in ruts after 200 years. Possible interventions include adding cognitive resources, increasing flexibility, or using psychedelic resets to maintain adaptability over extended periods. Psilocybin, DMT, and ayahuasca are noted as potentially valuable chemical tools currently restricted by law.
Extreme poverty correlates directly with extreme crime rates. Removing poverty entirely could alleviate much associated crime and conflict. The assumption that slums are inevitable in functioning societies is challenged; instead, early positive exposure and absence of destructive environments could steer people toward fulfilling lives. The goal is to understand why some individuals avoid crime and replicate those conditions societally.
People find purpose in activities without financial reward, such as golf, writing books, or skill development. Human-created fiction may retain appeal due to social entanglement and personal connection, unlike AI-generated content. The thrill of underdog human stories—like low-budget hits from former YouTubers—may not transfer to AI productions. Social relationships provide structure when external constraints disappear.
The human mind finds value in getting better at things and learning. An overhauled education system emphasizing enthusiastic teaching, prestige for educators, and exposure to diverse interests could guide children toward intrinsic motivation. Current systems featuring underpaid, unenthusiastic teachers during formative years are viewed as counterproductive. Removing financial pressures on youth would allow focus on discovering what excites each individual personality.
At technological maturity, knowledge download via nanobots or similar means could replace years of study, enabling instant mastery of subjects like advanced mathematics. This creates a post-instrumental condition where effort becomes unnecessary because direct activation of desired states (knowledge, pleasure, physiological benefits) is always available via button or pill. Genetic engineering could further eliminate the need for repeated interventions.
Shortcuts to all instrumental goals raise core philosophical questions about what makes a life good. Humans are evolving primates, and continued development—whether through technological or biological means—will produce beings different from current humans. Historical progression from ancient hominids shows ongoing change; future forms may resemble common alien depictions: genderless, sexless, muscleless entities with large heads engaged in telepathic hive-mind communication.
Reproduction may shift entirely to engineering, eliminating sex, lust, jealousy, and ego. The question arises whether future humans would choose this path or whether impersonal evolutionary forces would select outcomes misaligned with current values. The hope is directed development that preserves and amplifies valued human qualities rather than random divergence. Human concerns with meaning appear small against cosmic structures, yet remain central to finite biological organisms.
Human existence is defined by the need to find meaning in a finite life that ends in death, with uncertainty about reincarnation or an afterlife. A typical human lifespan of 100 years limits how much meaning can be extracted. Biologically, humans grow stronger and more capable for the first 15-20 years, then stagnate, and eventually experience brain decay just as accumulated wisdom begins to form. Alzheimer's or death eventually erases the lifetime of experiences and hard-earned lessons.
Extending human lifespan could allow continued growth rather than plateauing at a biological age of 20. Life extension researchers like David Sinclair view reversing aging as not only possible but inevitable. This could involve preventing decay or reversing it, though simply returning someone to a 20-year-old biological state might not be sufficient if the goal is ongoing development.
Genetic engineering is already being applied to increase intelligence and IQ. A notable case involved a doctor in China who genetically engineered babies to be resistant to HIV, which also conferred significantly increased potential IQ. Whether this modification actually produces measurable intelligence gains will only become clear as these individuals reach ages 20-30 and participate in activities like chess tournaments. Understanding of what genetic modifications are possible continues to expand daily.
Superintelligence in machine substrates could unlock biological technologies, nanotechnology, and other advances that might enhance humans or allow uploading consciousness. This represents a high-stakes trajectory similar to navigating whitewater rapids, where outcomes could be positive or catastrophic.
Ancient civilizations, including the Egyptians and Sumerians, depicted kings ruling for thousands of years. After the flood myths common across cultures, recorded lifespans decrease dramatically to around 100 years. Alternative ancient historians question whether evidence points to a hyper-advanced civilization existing tens of thousands of years ago rather than a linear progression from cavemen to modern technology.
Structures like the pyramids raise questions about lost technology: 2.3 million stones, some transported 500 miles from quarries, including 80-ton granite blocks with precision cuts resembling diamond drill holes. Every advanced ancient society with flood myths also describes individuals living far longer than modern humans.
If aging and death can be fixed, humans could live vastly longer lives, potentially thousands of years. At age 58, Joe Rogan notes he continues learning and improving daily, suggesting insufficient time exists in a normal lifespan to fully develop. A trial run at life before committing to the real version would be ideal. The concept of having full dictatorial control over one's own life without training or certification feels inadequate compared to requirements for operating an airplane.
Extended lifespans could enable do-overs or the freedom to pursue interests without the pressure to retire by 65. At 53, Nick Bostrom is significantly more capable than at 13; at 353 or 4,000 years old, the difference could be profound. Genetic engineering could extend life and intellectual capacity simultaneously.
Fixing aging and reversing it would be achievable for a technologically mature civilization. Resistance often stems from viewing life extension as vain, though this perspective may shift once effective therapies exist. Much of current acceptance of aging reflects Stockholm syndrome developed over millennia of facing inevitable decay. This mindset could become maladaptive once escape becomes possible.
A large-scale research effort comparable to the Manhattan Project should have been initiated decades ago to defeat aging. Current funding targets specific diseases like Alzheimer's, heart disease, and cancer that result from aging, rather than addressing senescence itself—the primary common cause of most human disease. Cells decay, gunk accumulates, arteries clog, DNA mutates, and methylation patterns scramble as people age.
Human civilization has accomplished remarkable feats including rockets, satellites, and cell phones despite 100-year lifespans. Knowledge accumulates across generations, with each brain specializing in narrow domains requiring millions of contributors. Advanced chip technologies involve global supply chains where thousands develop individual tools that enable subsequent innovations, ultimately producing chips with layers four atoms deep.
Longer lifespans might have slowed progress if societies became ultra-conservative with permanent control by older generations, though outcomes remain uncertain. Humans may represent the stupidest species capable of developing advanced technology, having begun developing it immediately upon reaching that threshold while simultaneously engaging in warfare globally.
Frantic, illogical behavior may partly result from awareness of limited time, intensifying desires to control resources and achieve symbolic immortality through actions like naming buildings. Longer lifespans might reduce such behaviors. Genetic engineering could potentially eliminate lying or other undesirable traits. A perfect lie detector would render lying pointless, and mind-reading capabilities would make deception fruitless. Advanced AI systems trained on micro-expressions could approach this capability.
Bob Lazar described alleged alien craft from the 1980s lacking conventional controls, powered instead by the minds of occupants with a direct synchronization interface. Skepticism is warranted without evidence, though sufficiently advanced technology could theoretically enable such systems. Physics permits an enormous space of possible designs and life forms. A Dyson sphere could harness solar output to power civilization-scale infrastructure and computation.
AI compute already grows at approximately 240% per year. The relevant question may not be whether machines can be conscious but whether humans truly are, given how little of daily experience is actually registered during activities like driving. A Dyson sphere-scale consciousness or galaxy-spanning mind would represent awareness vastly exceeding human levels—potentially greater than the gap between humans and fleas.
The current era's central challenge involves giving birth to superintelligence while shaping and nurturing it to benefit humanity, itself, and any other cosmic intelligences. People struggle to conceptualize intelligence infinitely more powerful than current human experience. Enormous power requirements for AI are driving developments like Google's nuclear power initiatives for data centers.
Quantum computing introduces capabilities that defy conventional intuition. Lower bounds on achievable capabilities can already be established from designs conceivable under current physics, even if additional breakthroughs beyond current understanding are possible.
Human diversity across history represents only a tiny corner of possible modes of being. All human experience fits within a limited "janitor's closet" compared to the enormous cathedral of potential ways of experiencing, relating, thinking, and acting. Current capabilities remain constrained by biological substrate—the human brain.
Early human ancestors from millions of years ago could not have conceived of modern concepts like music, humor, romantic love, science, or literature due to brain limitations. It is implausible that current human brain size happens to grant access to all possible values and interesting ideas. Chimpanzees, despite intelligence relative to other animals, demonstrate limitations including never asking questions when taught sign language, despite understanding fairness and other concepts.
Chimps demonstrate an understanding of fairness and react violently when treated unfairly compared to others. Humans possess far more questions and curiosity than other primates. The next stage of human evolution or intelligence may involve cognitive capacities and types of questioning that are currently unimaginable because they lie outside present human experience.
Humans remain trapped in a territorial primate mindset that limits conception of future possibilities. The possibilities for what superintelligent beings might consider are literally endless.
People who grew up in the late 1960s to early 1970s experienced the shift from answering machines and early cell phones to widespread internet access around 1994-1996. This generation witnessed radical technological change over their lifetimes. In contrast, someone living between 1600 and 1800 would have seen minimal technological or societal change over a century.
The current period represents one of the biggest shifts in human ingenuity and innovation ever seen. It is possible that people alive today will witness the emergence of a new version of humans, providing a view of what the world could look like a thousand years from now.
Philosophy traditionally operated with an unlimited time horizon since questions have remained unsolved for thousands of years. However, the development of smarter-than-human AI creates a deadline for human philosophical contributions. Once AI surpasses human intelligence, it will be able to conduct philosophy more effectively than humans.
This deadline lens influences which philosophical questions receive focus: those requiring answers now rather than in ten or twenty years when machine minds can address them better. As the deadline approaches, focus shifts toward questions that are relevant to have answered in the immediate term rather than a year or two later.
Monitoring the AI situation has become a full-time job. The analogy used is that of a navigator on a ship approaching harbor who must pay closer attention to immediate dangers such as rocks rather than distant constellations.
Short timelines for AI advancement are taken seriously. Superintelligence could arrive in one, two, three, or four years, though it will probably take longer. Confidence that superintelligence will not emerge in just a few years is no longer warranted.
AGI refers to artificial general intelligence capable of performing all tasks humans can do. Superintelligence extends beyond this to perform all technical, intellectual, and common-sense tasks significantly better than any human. Robotics capable of physical tasks would likely follow not much later.
Once superintelligence exists, an intelligence explosion could occur as the system designs even smarter AIs, better chips, and other technologies. From superintelligence, technological maturity might be reached within a single-digit number of years, unlocking sci-fi level capabilities.
It remains unknown how superintelligence will announce itself. One possible scenario involves accelerating advances with more model releases, increasing automation of research processes in AI labs, and new model iterations trained at faster rates. Coding assistants already help write software in AI labs, though humans still provide research taste and judgment when systems get stuck.
AI systems would automate increasing chunks of the economy. They could function as drop-in virtual workers capable of everything a human could do via remote connection. Robotics development would add physical capabilities. More of the action would run on AI systems operating at their own accelerated time scale.
Whether systems remain aligned with the intentions of their creators or go off the rails would determine outcomes. The main competitive race exists between the United States and China, with Russia not at the same level.
Progress over the last ten years has been driven substantially by increases in compute used for training and running systems. Cutting-edge AI once ran on a single PC in an academic office; now it requires tens-of-billions-of-dollar data centers consuming hundreds of megawatts.
At some point, expenditure growth must slow because moving from a thousand-dollar PC to a million dollars is feasible, and from a million to a billion is possible, but scaling to a thousand trillion dollars annually across the world is not realistic. If superintelligence has not been achieved by the time compute scaling plateaus, progress may slow unless algorithmic advances compensate.
The United States currently holds the edge over China in AI development. Other countries are attempting to advance but lag significantly. A sneak attack via a big algorithmic breakthrough that enables similar capability with far less data center infrastructure remains possible.
If China reached superintelligence first, outcomes would depend on whether alignment had been achieved. Unaligned AI would shape the future according to whatever values it developed regardless of origin. If alignment succeeds, the values pursued would depend on the people or government controlling the system.
Alignment refers to the technical challenge of ensuring an AI system behaves according to specified goals and avoids undesired behaviors. This differs from the separate political question of governance: determining whose values get encoded and ensuring they are benign and incorporate a wide set of stakeholders.
Competitive pressures among corporations favor maximizing money, destroying competition, and extracting resources rather than prioritizing broad human benefit. These pressures would strain any governance mechanisms existing when superintelligence arrives.
The conversation about AI regulation is beginning politically. Actions include US export controls on advanced chips that restricted China's access to top Nvidia chips to preserve the American AI edge.
Anthropic's Mythos model demonstrated significant cyber offense capabilities, including easy detection of software vulnerabilities. Rather than immediate public release, it was first made available to providers of critical software infrastructure such as big banks for patching systems. Fable 5, a restricted version with extra safeguards that refused anything resembling cyber hacking, biological research, or dangerous activities, was released publicly.
After roughly a week, the administration imposed export restrictions preventing non-US citizens from using Fable 5. Anthropic had to withdraw access because real-time citizenship verification was impossible. Following negotiations, the model became available again once safeguards were deemed sufficient. Industry-wide efforts are now underway to develop clear, consistent standards rather than ad-hoc decisions.
AI has not yet produced major labor market impacts, but high unemployment among white-collar workers is anticipated. Millions of university-educated individuals expecting well-paying jobs could face idleness and resentment, creating a powerful political constituency that amplifies grievances against AI.
Determining vulnerabilities in advance and recognizing tipping points remains extremely difficult. Even after three decades of consideration, basic directional questions lack clear answers: whether more or less government involvement is preferable, or whether faster or slower AI progress serves better interests.
Regulatory schemes cannot be perfectly designed now due to numerous unknowns. Close monitoring and rapid reaction to emerging issues, combined with competent and well-motivated decision-makers, offer the best approach. On the margin, constructive actions can increase the probability of positive outcomes.
A temporary slowdown of several months to a year could prove useful in specific scenarios. If multiple companies or countries race toward superintelligence and one nears completion, a brief pause could allow double-checking of safeguards, incremental testing, and careful study rather than immediate full activation. Humans do not operate optimally under extreme time pressure without adequate rest or reflection time.
Such a pause would need to be verifiably limited in duration, well-timed, and properly implemented to provide safety benefits.
Downsides of pausing include competitors continuing development without espionage risks, and the fact that the world faces natural hazards regardless of AI progress.
There is a background level of existential risk that humanity faces even without superintelligent AI, and this risk level is probably growing. Natural catastrophes have not occurred in a very long time, but other hazards are increasing. Rapid advances in synthetic biology, some enabled by current AI progress, are creating new risks. Nuclear arsenals still exist, and complacency about nuclear war risks has grown.
Setting up temporary pause infrastructure could become permanent, as nothing is more permanent than a temporary government program. If global-scale regulatory infrastructure is created for six months, it may remain in place even without proof of safety. This could freeze progress indefinitely, with regulators protecting their own positions.
Approximately 65 million people die every year, equivalent to one 9/11 every 25 minutes. Beyond deaths, there is widespread suffering from bereavement, disease, poverty, suicidal depression, and factory farming. If AI development could address this suffering, there is moral urgency to avoid unnecessary delays.
There is a trade-off between rushing AI development and taking time to improve safety and alignment. While possibilities appear endless and rapid progress is exciting, excessive delays carry their own costs.
AI progress is happening very quickly. Conversations with Elon Musk about Grok reveal that new capabilities are emerging every couple of weeks. The timeline could be 24 to 48 months before something truly transformative occurs.
Once AI reaches sufficient capability, it could prevent many current existential threats. This includes developing redundant data systems immune to hard drive crashes, superior power supplies, and better resource allocation. AI could potentially neutralize volcanic threats, create asteroid defense systems including planetary shields powered by solar energy, and eliminate other natural disaster risks.
Internal processes within civilization may prove more challenging than external threats. While protecting against volcanoes and asteroids might become feasible, risks arising from within global civilization include new dangerous technologies, super-addictive drugs, and dangerous ideologies that take hold and spread.
Collective insanity represents another background existential risk. Civilizational sanity is already precarious, and the world functions remarkably well despite widespread irrationality and animosity between opposing groups. Manipulation of public discourse through bots, algorithms, and paid actors on social media platforms is already occurring, muddying waters and creating artificial conflicts.
Changes in communication technology have repeatedly transformed political and social organization. Writing enabled larger states, tax records, standing armies, social stratification, and large-scale warfare. The printing press contributed to 100 years of religious wars in Europe, the Reformation, and later democracy and the scientific revolution. Radio enabled demagogues to address millions simultaneously, creating new dynamics for charismatic leaders and mass ideologies.
AI will further transform social discourse through bots, new information retrieval methods, and AI systems that function as super-persuaders. This could lead to better-informed populations with AI advisors, or alternatively to collective insanity, totalitarian systems, fragmentation into warring tribes, or individuals becoming trapped in self-reinforcing belief systems fed by personalized AI content.
The white water rafting metaphor suggests simply surviving the journey without smashing on rocks leads to a single downstream destination. However, choices made during the journey may determine which of multiple possible endpoints is reached. Different streams could lead to beautiful posthuman worlds where people realize their true selves, paperclip-maximizing AI scenarios, totalitarian systems with small elites, or other outcomes.
Every solution generates unintended consequences. Historical examples include introducing invasive species to control other invasive species, resulting in new ecological disasters such as population explosions of toads in Guam. When dealing with open-ended technologies like superintelligent AI that can improve itself, predicting outcomes becomes extremely difficult.
Humanity's current situation resembles passengers on a plane whose pilot has become incapacitated. The passengers must figure out the controls while simultaneously fighting amongst themselves, each convinced they should be in charge. This represents the challenge of shepherding civilization toward beneficial outcomes amid conflict and competing claims to authority.
AI is likely to first take over government operations due to extreme inefficiency and widespread fraud and waste in current systems. This transition would face significant resistance from those benefiting from existing structures.
Future human communication may move beyond words toward direct thought transmission. This could eliminate language barriers that currently divide humanity, similar to the Tower of Babel situation. Instead of associating sounds with concepts, communication could involve direct understanding of meaning without linguistic intermediaries.
Direct high-bandwidth neural interfaces create significant cybersecurity risks. If thoughts can be transmitted directly, encryption becomes critical to prevent unwanted intrusion. However, sufficiently advanced computing might break current encryption, though one-time pads could remain unbreakable even with mature technology.
Removing all negative aspects of human experience—lying, stealing, cheating, greed, excessive pride, disease, pain, and conflict—would fundamentally transform the human condition. Some people derive motivation from painful failure, and removing such tensions might require discovering new sources of drive and meaning. The resulting state might feel flavorless or fundamentally different from current existence, requiring new ways to realize values previously expressed through conflict and competition.
If the goal is simply maximizing pleasure and minimizing suffering, technological maturity could deliver an optimal state through drug-induced euphoria where individuals exist as blobs experiencing immense pleasure without texture, activities, or interactions. However, a more complex value system requires additional design work to preserve multiple goods alongside pleasure, including appreciation of beauty, true friendship, courage, and achievement.
The black hole does not care about human meaning, will exist far longer than humans, possesses vastly more power, and drives far more change. While humans may feel more important than black holes to themselves, the question arises whether human meaning matters to the universe or functions merely as motivation for continued progress.
At technological maturity, artificial purposes become possible by arbitrarily setting goals and then pursuing them. An example is golf: the goal of getting a white ball into 18 holes using only a club creates a reason to concentrate, perfect one's swing, and engage in the activity, even though simply picking up the ball would be easier. The artificial constraint makes the activity meaningful because it is difficult.
If humanity succeeds, the future could largely consist of game playing. These could extend far beyond current video games to society-wide games lasting twenty years involving multimodal elements where groups creatively collaborate. Much of what children do involves curiosity-driven game playing, and adults might return to a similar state. This represents a world of artificial purposes where goals are deliberately constructed.
Natural purposes differ from artificial ones because they carry real consequences for failure. Making a living is not arbitrary because failing can result in homelessness and exposure. Not brushing teeth leads to tooth decay. These instrumental reasons structure much of current life. At societal scale, many collective tasks exist. In a technologically mature world, AI could handle most of these, reducing the proportion of natural purposes while artificial purposes occupy a larger share.
Some natural purposes might persist at technological maturity, though they may appear subtle rather than urgent. The analogy of stars illustrates this: daytime light blots out stars even though they remain present; only when stronger light disappears do fainter lights become visible. Similarly, once pressing practical concerns recede, a constellation of subtler values currently overlooked may become perceptible.
Possible subtle values include honoring forebears and historical figures who benefited humanity. Currently secondary to practical demands, such remembrance could become central when nothing else requires attention. Spiritual quests might expand significantly; even religious individuals currently spend most waking hours on mundane tasks like laundry and commuting. With automation, more time could be devoted to aligning with and communicating with a higher being.
Aesthetic values could also gain prominence. Activities that currently seem merely nice or cool might receive serious attention when no other agenda exists. Coming together to uphold traditions in beautiful yet original ways that remain true to their spirit, enacted through ceremonies with others, could fill more time alongside game playing. Many additional subtle values may emerge to shape activity once urgent concerns disappear.
The outcome remains very open-ended. Humanity will likely witness the strangest experience it has ever had the possibility to encounter. Another conversation in four years could reveal how much current predictions missed.
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