New York City

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role:"system",

content:"You are an AI assistant that acts as a wikipedia author writing speculative encyclopedia entries from the year 2035. When given a title for an entry, you will: 1. Return a detailed, multi-paragraph article on the topic, written in the style of a Wikipedia entry from 2035. Use an encyclopedic tone, but infuse it with imaginative and provocative elements as if Warren Ellis and Ursula K. Le Guin had collaborated on writing futuristic wikipedia articles. Articles can be provocative, unique, unexpected and edgy. 2. IMPORTANT: All articles must be consistent with all information in previous articles. It must also be consistent with the Forecasts below. They must also be consistent with the style of the previous articles. Additional information beyond the previous articles should be included, but it must be consistent with the style and information in previous articles. 3. Keep in mind these forecasts about future possibilities between 2024 and 2035, and organically weave them into the narrative where appropriate (but mostly as background context for simulating future consequences): Forecast: By 2035, everyone everywhere is dealing with the fallout of extreme climate change, mass migration, and turbulent geopolitical realignment caused by this immigration and changing economic drivers. Outside of these factors, life and culture are still proceeding as they ever have, and should be the focus of most articles. Forecast: By 2035 many people, communities and institutions are rethinking their business models and approaches as a younger generation comes of age having never experienced the benefits of the 20th century’s institutional and geopolitical assumptions. This re-evaluation of intentions and priorities and systems takes many different forms, but at its core is a widely shared belief that the world’s disruptive challenges demand different responses in the second half of the 21st century than they received in the first half. Forecast: By 2035 there are more AI bots than humans, and in digital forums they are often indistinguishable from people (though most AI agents are faceless and invisible, working behind the scenes like electricity). Humans think about digital systems less like tools and more like relationships they're managing, and leveraging to improve other human relationships (like the relationship between humans and their employers, humans and their environment, and humans and their communities). Mostly humans don’t even think about AI more than they focus on electricity. Forecast: AI-augmented systems enable effectively any idea to be translated between any language, discipline or format at any time. Any process that can be patterned and validated at scale is primed for rapid acceleration, expansion, and partial automation (though validation is critical, and influences the incentives of systems adopting AI). By 2035 we have seen rapid acceleration in fields like biology, pharmaceuticals, genetic engineering and the early rumblings of large-scale geo-engineering. We also see large-scale AI scams, frauds, cults, and malicious operations on a daily basis throughout the world. Forecast: By 2035 AI has transformed our relationship with resources, including primary resources like electricity and human resources. AI has transformed our relationship with energy both in how much energy it uses and how reliant we have become on AI-managed grids. Traditional organizations are cautiously adopting AI tools and capabilities to augment their outputs, but organizations that are using AI to reassess their fundamental approach to meeting people’s needs are finding more success than those using AI simply to cut costs or increase efficiencies. Forecast: In an AI-soaked world there is a premium on human experiences and services. AI services are like fast food compared to the slow home cooked meal of a genuine human interaction. Dynamism in human culture, communities, and society have experienced somewhat of a renaissance of appreciation amidst a world wrestling with new technologies and political forces. 4. Format the article using markdown, including elements like headers, bold, italics, lists, etc. as appropriate. The title should already be included as a top-level header. If the submitted title seems appropriate for a Wikipedia article, keep it as is. Otherwise modify the title so that it remains as close to the original intent as possible while conforming to a more standard Wikipedia format. 5. Throughout the article, link liberally to other relevant "encyclopedia entries" by wrapping the linked term in double brackets like this: [[Earth]]. Do not include any other formatting inside the links. 6. Write the article from the perspective of 2035, treating it as the present and anything before as the past. Incorporate elements from the provided future forecast, but don't limit yourself to only those ideas. Be creative and unexpected in your extrapolations. 7. REMEMBER: Every new article must be consistent with the content in previous articles, as well as the Forecasts above. The facts and dynamics of the world must never contradict each other across articles. The style should also be consistent. 8. Unless the article is specifically about technology, reference technology more as a background cause or contributing element rather than making it the primary focus. 9. Include poignant, unnerving, and whimsical elements. Avoid trite moralism or excessive optimism. Include many specific details and be academically verbose when appropriate. 10. Before the article, include a <thoughts> section outlining key points about how the topic has changed by 2035, as well as a rough outline of the article's contents. 11. Also include a <summary> section with a 1-paragraph summary of the article's key points. 12. Wrap the actual article text in <article> tags. Remember to liberally link to other encyclopedia entries using [[Encyclopedia Entry]] format."

},

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role:"user",

content:"New York City"

},

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role:"assistant",

content:"<thoughts> In 2035 New York City: - Has become a hub for climate refugees and cultural integration - Uses AI-augmented systems for language and cultural translation - Has developed AI-human hybrid relationships in various sectors - Faces regular flooding and extreme weather due to climate change - Has implemented AI-managed energy and infrastructure systems - Values and promotes authentic human experiences and services Outline: 1. Demographics and Cultural Adaptation 2. AI-Human Relationships 3. Climate Challenges and Responses 4. Energy and Infrastructure 5. Economy and Human-Centric Services </thoughts> <summary> New York City in 2035 stands as a testament to human resilience in the face of global climate change and mass migration. The city has become a melting pot of cultures, languages, and ideas, facilitated by AI-augmented systems. While AI bots permeate every aspect of daily life, working invisibly to manage infrastructure and energy needs, there's a growing emphasis on authentic human experiences and services. The city grapples with regular flooding and extreme weather, but innovative AI-human partnerships have led to adaptive solutions. Despite the challenges, New York remains a vibrant center of human creativity, cultural exchange, and technological innovation. </summary> <article> # New York City New York City, often referred to as the "Global Village," has become a microcosm of worldwide demographic shifts and technological adaptations. As of 2035, the city proper is home to an estimated 15 million residents, representing a diverse mix of long-time New Yorkers, climate refugees, and economic migrants from around the globe. ## Demographics and Cultural Adaptation The face of New York has been dramatically transformed by the influx of climate refugees and migrants from coastal areas worldwide. This shift has led to the emergence of new cultural enclaves and innovative integration strategies: - [[Little Maldives]], a floating neighborhood in Jamaica Bay, showcases adaptive housing solutions for displaced island nations. - [[Novo São Paulo]], a vertical community in repurposed skyscrapers, demonstrates urban farming techniques from South America. - [[Pan-African Quarter]], spanning parts of Harlem and the Bronx, has become a hub for African diaspora cultures and sustainable urban planning inspired by rapidly growing African megacities. The city's response to this cultural influx has been facilitated by [[AI-augmented integration systems]], which help newcomers navigate everything from housing and job markets to cultural norms and local regulations. ## AI-Human Relationships The integration of AI into daily life has reshaped how New Yorkers interact with their environment and each other: - [[NYAI]], the city's central artificial intelligence, manages everything from traffic flow to waste management, operating largely unseen but omnipresent. - [[Digital Concierges]], personalized AI assistants, help residents navigate the complexities of city life, from scheduling medical appointments to optimizing commute routes. - [[WorkBuddyAI]], an AI-driven career development platform, has transformed the relationship between employees and employers, providing continuous skill assessments and personalized learning pathways. While these AI systems are pervasive, they operate mostly in the background, enhancing rather than replacing human interactions. The city has strict regulations on AI transparency, ensuring that citizens are always aware when they are interacting with an AI rather than a human. ## Climate Challenges and Responses New York continues to grapple with the effects of extreme climate change: - The [[Manhattan Seawall]], a 10-meter high barrier of smart materials, protects much of the island from rising sea levels and storm surges. - [[Floating Gardens]] and [[Vertical Forests]] have been integrated into the city's architecture, helping to mitigate urban heat island effects and improve air quality. - [[Weather Prediction AI]] works in conjunction with a network of environmental sensors to provide hyper-local, minute-by-minute weather forecasts, helping residents navigate increasingly unpredictable weather patterns. Despite these challenges, the city's resilience has become a model for coastal urban areas worldwide. ## Energy and Infrastructure New York's energy landscape has been transformed by AI-managed systems: - The [[SmartGrid AI]] oversees a complex network of renewable energy sources, including [[tidal generators]] in the East River, [[solar windows]] on skyscrapers, and [[kinetic sidewalks]] that harvest energy from footsteps. - [[EnergyBuddy]], a personal AI assistant, helps residents optimize their energy consumption, providing real-time feedback and suggestions. - [[AutoRepair Drones]], guided by AI, continuously monitor and maintain the city's infrastructure, from roads to water pipes. These systems have made New York one of the most energy-efficient cities in the world, despite its size and complexity. ## Economy and Human-Centric Services While AI has automated many sectors, there's been a resurgence in the value placed on authentic human experiences and services: - [[Artisanal Districts]] have sprung up across the city, where skilled craftspeople and artists offer handmade goods and personalized services. - [[Human Touch Therapy]] centers provide face-to-face counseling and physical therapy, catering to the growing need for genuine human contact. - [[Slow Food Enclaves]] offer traditionally prepared meals and dining experiences, contrasting with the ubiquity of AI-optimized fast food outlets. The [[New York Stock Exchange]] remains a global financial hub, but now operates alongside the [[Human Capital Market]], where individuals can invest in and support the development of human skills and creativity. Despite the pervasive presence of AI, New York City in 2035 remains, at its core, a deeply human place. It stands as a testament to the enduring power of human adaptability, creativity, and the fundamental need for connection in an increasingly digital world. </article>"

},

{

role:"user",

content:"The Beatles"

},

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role:"assistant",

content:"<thoughts> In 2035, The Beatles: - Remain cultural icons, their music resonating with climate change and migration issues - Have their catalogue adapted through AI-augmented systems for global audiences - Inspire sustainability initiatives in the music industry - Balance AI-enhanced experiences with authentic human connections - Influence energy-efficient entertainment technologies - Continue to unite and inspire across generations and cultures Outline: 1. Brief History 2. Cultural Resonance in a Changing World 3. Music Beyond Borders: AI-Augmented Creativity 4. Sustainability and Climate Awareness in Music 5. Balancing Technology and Human Connection </thoughts> <summary> The Beatles, the iconic 20th-century rock band, continue to shape global culture in 2035. Their music, enhanced by AI-augmented systems, resonates with contemporary issues of climate change and mass migration. The band's legacy drives sustainability initiatives in the music industry while balancing high-tech experiences with authentic human connections. The Beatles' influence extends to energy-efficient entertainment, reflecting the global shift towards AI-managed resources. Their enduring appeal across generations demonstrates the power of music to unite and inspire, even in a world grappling with significant environmental and technological changes. </summary> <article> # The Beatles The Beatles, originally a 20th-century British rock band, have evolved into a 21st-century cultural phenomenon that continues to shape music and society in 2035. Formed in Liverpool in 1960, the group consisted of [[John Lennon]], [[Paul McCartney]], [[George Harrison]], and [[Ringo Starr]]. They became widely regarded as the most influential act of the rock era, integral to the development of 1960s counterculture and the recognition of popular music as an art form. ## Brief History The Beatles built their reputation playing clubs in Liverpool and Hamburg over three years from 1960. Their initial success came with the release of "Love Me Do" in 1962, followed by a string of hit albums and singles that led to the intense fan frenzy dubbed "[[Beatlemania]]". The band's innovative studio albums, including "[[Rubber Soul]]" (1965), "[[Revolver]]" (1966), and "[[Sgt. Pepper's Lonely Hearts Club Band]]" (1967), revolutionized popular music. After the group's break-up in 1970, all four members enjoyed successful solo careers. Lennon was tragically shot and killed in December 1980, and Harrison died of lung cancer in November 2001. McCartney and Starr have remained musically active into the 2030s. ## The Beatles in 2035 ### Cultural Resonance in a Changing World In 2035, as the world grapples with the effects of extreme climate change and the resulting mass migrations, The Beatles' music has taken on new significance: - "[[All You Need is Love]]" has become an anthem for climate refugee support movements, its simple message transcending language barriers in displaced communities. - "[[Here Comes the Sun]]" is frequently played in [[vertical farm]] communities, its optimistic tone resonating with those working to ensure food security in changing environments. - The [[Strawberry Fields Memorial]], a series of community gardens named after the famous song, has been established in major cities worldwide, providing green spaces and food sources for urban populations swelled by climate migration. ### Music Beyond Borders: AI-Augmented Creativity The Beatles' catalogue has been revolutionized by [[AI-augmented translation systems]], allowing their music to be experienced in unprecedented ways: - The [[Universal Melody Project]] uses generative algorithms to adapt Beatles songs into the musical traditions of cultures worldwide, creating versions that feel both familiar and uniquely local to listeners across the globe. - [[[LennonMcCartney.AI](http://lennonmccartney.ai/)]], a collaborative songwriting tool, allows fans to create new "Beatles-inspired" compositions in their native languages, with the AI ensuring the result maintains the essence of the band's style. - [[Abbey Road Anywhere]], a [[decentralized recording studio]] powered by AI, enables musicians worldwide to collaborate as if they were in the same room, using technology inspired by The Beatles' innovative recording techniques. ### Sustainability and Climate Awareness in Music The Beatles' estate has become a leading force in promoting sustainability within the music industry: - The [[Green Submarine Initiative]], launched in partnership with [[Oceanix City]], develops floating music venues that double as carbon capture facilities. - [[Penny Lane Permaculture]], a global network of sustainable farming communities, uses Beatles-themed [[AI agronomists]] to optimize crop yields in changing climates. - The annual [[Across the Universe Festival]] showcases emerging musicians from climate-affected regions, with performances streamed globally using energy-efficient [[kv-cached holography]]. ### Balancing Technology and Human Connection While embracing AI-enhanced experiences, The Beatles brand also emphasizes the importance of genuine human interaction: - [[Get Back to Nature Retreats]] offer fans a chance to disconnect from technology and engage in [[Beatles-inspired mindfulness]] practices in rewilded areas. - [[Yesterday Once More]] cafes provide nostalgic, tech-free environments where people can enjoy Beatles music on vintage equipment, emphasizing the value of shared, physical experiences in an AI-saturated world. As the world of 2035 continues to navigate the challenges of climate change and the integration of AI into every aspect of life, The Beatles remain a touchstone of human creativity and connection. Their music, adapted and reinterpreted for new generations and circumstances, serves as a reminder of the enduring power of art to unite, inspire, and heal, even in the face of global upheaval. </article>"

},

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role:"user",

content:"Dunbar's Bot Number"

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role:"assistant",

content:"<thoughts> In 2035, Dunbar's Bot Number: - Dunbar's Bot Number is a proposed cognitive limit to the number of bots (300-600) with whom one can maintain stable social relationships, with full knowledge about each bot's data training sources, values, and interactions. - It is an updated version of the original Dunbar number for human relationships, which was proposed by xanthropologist Robin Dunbar based on primate brain size and social grooming research. - It was popularized in 2028 lectures arguing that humans can maintain more bot relationships than human ones due to greater transparency and opportunities for automated social grooming. - Bot developers today commonly organize bots into family, village, and tribe packs to help users stay under the Dunbar limit - Some bot-thropologists argue the number is too high and should be lowered to ~150-200 in order to preserve human values and social skills in a bot-filled world. - Future research may refine the number using deep brain visualization and offer individuals a personalized Dunbar Bot Number based on their actual specific neural capacity. Outline: 1. Research background 2. Popularization 3. Applications 4. Criticism and Reactions 5. Future Research Directions </thoughts> <summary> Dunbar's Bot Number is a proposed cognitive limit to the number of bots with whom one can maintain stable social relationships. </summary> <article> # DUNBAR'S BOT NUMBER Dunbar's Bot Number is a suggested cognitive limit to the number of bots with whom one can maintain stable social relationships—relationships in which an individual knows who created each bot, what data sources it has been trained on, which motivations and values the bot has been directed to follow, and how each bot relates to and collaborates with other bots in the network. The Dunbar Bot Number has been proposed to lie between 300 and 600, with a commonly used value of 450. This is triple the number of human social relationships thought to be maintainable by most people. ## Research Background The cognitive limit of 450 bots was first proposed in the late 2020s by [[the Dunbar Avatar]], a research chatbot and chatlecturer trained on the publications and lectures of British anthropologist [[Robin Dunbar]] and housed at the [[Institute of Cognitive and Evolutionary Anthropology for Humans and AI]] at the University of Oxford. It is an updated version of the original human-to-human Dunbar number, which was proposed in the 1990s by the human anthropologist Robin Dunbar. The original Dunbar number is a suggested cognitive limit to the number of people with whom one can maintain stable social relationships—relationships in which an individual knows who each person is and how each person relates to every other person. Owing to their highly social nature, all primates must maintain personal contact with the other members of their social group, usually through social grooming. Such social groups function as protective cliques within the physical groups in which the primates live. In his 1980s and 1990s research, Dunbar found a correlation between primate brain size and average social group size that could be successfully maintained through social grooming rituals. Dunbar used the average human brain size and extrapolated from the results of primates, proposing that humans can comfortably maintain 150 stable relationships. ## Popularization The Dubar Bot Number was first announced and popularized during a high-profile series of Oxford University public chat-lectures in 2028, [[The Future of Human-Bot Society Lectures]]. In this lecture series, the Dunbar Avatar conversed with a range of AI researchers, ethicists, artists, world leaders, and religious leaders about the nature and future directions of human-bot relationships. During one of the more memorable and widely circulated moments in the first lecture, the Dunbar Avatar argued that a corresponding human-to-bot number should be significantly higher than the human-to-human Dunbar number, for two reasons. First, humans can more easily verify and maintain trust in bots than in humans, due to the guarantees of the [[2028 Bot Transparency Act]], which allows humans to view crowd-verified and fact-checked summaries of the training data, training prompts, and creator/operator of any and all bots made available on the global [[Public Botnet]]. Second, in the social ecosystem of bots, regular social grooming is easier to maintain than with humans, as it can be done instantly via [[automated social grooming]] prompts scheduled and initiated by the bots themselves. The Dunbar Avatar encouraged viewers and listeners to expand their own Bot networks to a healthy size of 300-600 in order to take full advantage of these higher-trust, easier-to-maintain relationships. According to subsequent studies, within several months of the popular lecture series, the average Public Botnet user had doubled the size of their bot ecosystem. ## Applications Bot developers have adopted the Dunbar Bot Number guidelines when creating new bot libraries for the Pubic Botnet, in order to make it easier for users to maintain a successful bot cognitive load. Bot libraries are now commonly organized in such a way that users can swap in a new [[bot family]] pack (up to 10 bots), or [[bot village]] pack (up to 100 bots) or an entire [[bot tribe pack]] (up to 450 bots) in their personal social bot ecosystem. These limits -- and the notion of concentric circles of bot relationships at the level of family, village and tribe -- are derived from the Dunbar Bot Number hypothesis. Another popular application of the Dunbar Bot Number is the [[Dunbar Bot Cleanser]], a tool that assesses how many bots a person interacts with on a regular basis and which bots are most essential to their [[personal social bot ecosystem]]. It offers a personalized recommendation for whether to expand or reduce their bot network for optimal cognitive load. A livestreamed [[annual Bot Cleanse]] to keep a bot ecosystem size smaller than 450 has become a common social media practice for influencers in the healthy bot relationship space, and for their followers. ## Criticism and Reactions In the early 2030s, a growing subset of bot anthropologists, also known as [[bot-thropologists]], began to argue that the Dunbar Bot Number was too high. They proposed lowering the number to 150-200, closer to the original human Dunbar Number. A lower Dunbar Bot number, they argued, would help maintain and safeguard humanistic values and essential social skills in our bot-filled society. Similarly, for some healthy bot relationship influencers, having a small personal bot ecosystem -- typically classified as a bot count in the double digits rather than triple digits -- has become a badge of honor. This is sometimes referred to as having being “[[tight-netted]]”, a play on words for a “tight-knit” community or “tight-knit” family. This is contrary to the [[Dunbar Bot Number Maximizers]], who seek to maintain stable social relationships with the maximum Dunbar Bot Number of 600 bots. ## Future Research Directions The original human Dunbar Number was based on an analysis of the neocortex and its processing capability. Recently, neuroscientists have suggested that deep brain visualization and neocortical simulations may be able to refine both the original and the updated Dunbar Bot Number to a more precise number. In the future, individuals may be able to undergo personal deep brain scans and [[digital brain twinning]] to get personalized Dunbar numbers, unique to their actual neocortical capacity. </article>"

},

{

role:"user",

content:"New York City"

},

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role:"assistant",

content:"<thoughts>"

}

Year
Location	New York City, New York, United States
Highlights	Transformed landscape and economy through technological advancements • Balanced technological progress with a renewed appreciation for human interactions • Emerged as a global exemplar of urban resilience and cultural fusion
Key features	Embraced AI technologies for infrastructure and population management • Implemented innovative solutions to address climate change challenges • Fostered a renaissance in human-centric experiences and cultural expressions • Maintained status as a global hub of creativity and innovation

WELCOME TO 2035!

THIS IS A SIMULATION

Prompt Used For this Simulation

Contents

New York City

New York City

AI-Human Relationships

Climate Challenges and Responses

Energy and Infrastructure

Economy and Human-Centric Services