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I asked GPT-4 to compile a timeline on when which human tasks (not jobs) have been/will be replaced by AI or robots, plus one sentence reasoning each - it runs from 1959 to 2033. In a second post it lists which tasks it assumes will NOT be replaced by 2050, and why. (Remember it's cut-off 2021.)

2023.03.20 20:53 marcandreewolf I asked GPT-4 to compile a timeline on when which human tasks (not jobs) have been/will be replaced by AI or robots, plus one sentence reasoning each - it runs from 1959 to 2033. In a second post it lists which tasks it assumes will NOT be replaced by 2050, and why. (Remember it's cut-off 2021.)

GPT-4 reply:

1959 - Machine learning: Arthur Samuel developed a self-learning checkers program, demonstrating that AI could learn and improve its performance over time.
1961 - Assembly line work: The first industrial robot, Unimate, was used in a General Motors factory to perform repetitive tasks, increasing productivity and safety.
1964 - Optical character recognition (OCR): AI software for converting printed text into digital text was developed, making data entry more efficient.
1970 - Medical diagnosis assistance: AI programs like MYCIN began aiding doctors in diagnosing bacterial infections, improving accuracy and reducing human errors.
1976 - Speech recognition: AI systems like Carnegie Mellon's HARPY system understood spoken language, transcribing speech into text more efficiently.
1981 - Robotic vacuum cleaners: The first robotic vacuum cleaner, the "Fugure 2000," demonstrated that AI could perform household cleaning tasks.
1997 - Chess playing: IBM's Deep Blue defeated world chess champion Garry Kasparov, showcasing AI's ability to outperform humans in strategy games.
2002 - Robotic lawn mowing: Robomow introduced automated lawn mowers, enabling efficient and precise lawn maintenance without human intervention.
2005 - Autonomous driving: DARPA's Grand Challenge showcased self-driving cars, paving the way for AI to revolutionize transportation.
2010 - Image recognition: AI algorithms like AlexNet excelled at classifying images, surpassing human performance in object recognition tasks.
2011 - Natural language processing: IBM's Watson defeated Jeopardy! champions, demonstrating AI's capacity for understanding and processing human language.
2012 - Automatic translation: Google Translate's AI-driven algorithms significantly improved, providing more accurate translations between languages.
2014 - Facial recognition: DeepFace, developed by Facebook, achieved human-level performance in identifying faces, enabling advanced security and identification applications.
2015 - Video game playing: AI agents began surpassing human performance in complex games like Dota 2, showcasing their ability to learn and adapt.
2016 - Voice assistants: AI-powered voice assistants like Amazon Alexa and Google Assistant became widely adopted, offering hands-free assistance in daily tasks.
2017 - Medical image analysis: AI systems surpassed human performance in diagnosing diseases from medical images, improving accuracy and speed in healthcare.
2018 - Protein folding prediction: DeepMind's AlphaFold demonstrated significant advancements in predicting protein structures, revolutionizing drug discovery and biology.
2019 - Text generation: OpenAI's GPT-2 showcased human-like text generation capabilities, automating content creation and summarization tasks.
2020 - Autonomous drones: AI-powered drones were developed for precise agricultural monitoring, reducing human labor and increasing efficiency in farming.
2021 - Artificial creativity: AI-generated art and music began achieving human-level quality, pushing the boundaries of creative expression.
2021 - Robotic surgery: AI-assisted surgical robots like the da Vinci Surgical System achieved human-level precision, enabling minimally invasive procedures with reduced complications.
2021 - Drug discovery: AI-driven platforms accelerated drug development, predicting molecule behavior and optimizing drug candidates with greater speed and accuracy.
2021 - Fraud detection: AI algorithms outperformed humans in detecting fraudulent transactions, increasing security and reducing financial losses for businesses.
2021 - Customer service: AI-powered chatbots provided efficient, 24/7 customer support, resolving inquiries with human-like responsiveness.
2021 - News summarization: AI systems excelled at summarizing news articles, providing concise, accurate summaries at a fraction of the time required by humans.
2022 - Stock trading: Algorithmic trading systems outperformed human traders, utilizing vast amounts of data to make more informed decisions and execute trades faster.
2022 - Robotic exoskeletons: AI-powered exoskeletons enabled disabled individuals to regain mobility, performing movements with human-like precision and responsiveness.
2022 - Autonomous shipping: AI-controlled cargo ships demonstrated safe, efficient navigation, reducing the need for human crew and the risk of accidents.
2022 - Content moderation: AI algorithms became more effective at identifying and removing harmful content online, reducing the burden on human moderators.
2022 - Movie script analysis: AI systems assessed movie scripts for potential success, predicting box office performance with greater accuracy than human experts.
2022 - Document review: AI tools outperformed humans in reviewing and categorizing legal documents, increasing efficiency and reducing the risk of human error.
2022 - Retail inventory management: AI-powered inventory systems optimized stock levels and predicted demand, enabling more efficient supply chain management.
2022 - Waste sorting: AI-assisted robots accurately sorted waste materials, increasing recycling rates and reducing the need for manual labor.
2022 - Weather forecasting: AI-driven models enhanced weather predictions, improving accuracy and providing more detailed forecasts than traditional methods.
2022 - Human resources: AI-powered tools streamlined recruitment, assessing candidate qualifications and predicting job performance with greater accuracy than human evaluators.
2023 - Financial planning: AI-driven financial advisors provided personalized, data-driven advice, outperforming human financial planners in generating optimal investment strategies.
2023 - Elderly care: AI-powered robots assisted in elderly care, monitoring health, providing companionship, and performing basic tasks with human-like compassion and skill.
2023 - Wildlife monitoring: AI-controlled drones and cameras identified and tracked wildlife populations, enabling more efficient conservation efforts.
2023 - Predictive maintenance: AI systems accurately predicted equipment failure, optimizing maintenance schedules and reducing downtime in industrial settings.
2023 - Urban planning: AI-driven simulations modeled complex urban systems, enabling more informed decision-making and better resource allocation than human experts alone.
2023 - Astrophysics: AI algorithms identified exoplanets and analyzed astronomical data with greater speed and precision than human scientists, advancing our understanding of the universe.
2023 - Video editing: AI-powered tools streamlined video editing tasks, automatically selecting and combining clips to create polished, professional videos.
2023 - Agriculture: AI-driven farm management systems optimized crop growth, irrigation, and fertilization, increasing efficiency and reducing human labor requirements.
2023 - Virtual reality: AI-generated realistic virtual environments provided immersive experiences for training, gaming, and social interaction, surpassing human-created environments in complexity and realism.
2023 - Cooking: AI-powered robotic chefs demonstrated human-level culinary skills, preparing meals with precision and creativity.
2023 - Scientific research: AI-driven literature analysis and hypothesis generation accelerated scientific discoveries, identifying patterns and connections beyond human cognitive capabilities.
2023 - Fashion design: AI-generated fashion designs combined style, function, and trends, creating innovative clothing and accessories at a faster pace than human designers.
2023 - Material science: AI algorithms accelerated material discovery and optimization, predicting properties and performance with greater accuracy than human scientists.
2023 - Seismic data interpretation: AI systems outperformed humans in interpreting seismic data, enabling more accurate predictions of oil and gas deposits and reducing exploration risks.
2023 - Education: AI-driven personalized learning systems adapted to individual students' needs, optimizing educational outcomes and surpassing traditional teaching methods.
2024 - Mental health assessment: AI-powered tools accurately assessed mental health conditions, providing more timely and personalized support for individuals in need.
2024 - Industrial design: AI systems generated innovative product designs, optimizing functionality and aesthetics while reducing development time.
2024 - Cybersecurity: AI-driven threat detection and response systems outperformed human analysts, providing more comprehensive and effective protection against cyberattacks.
2024 - Architecture: AI-generated architectural designs optimized space usage, sustainability, and aesthetics, outperforming traditional human-driven design processes.
2024 - Sports coaching: AI-powered analysis of athlete performance provided personalized training programs, enhancing performance and injury prevention beyond human coaching capabilities.
2024 - 3D modeling: AI-driven tools automated complex 3D modeling tasks, producing high-quality models at a faster pace than human artists.
2024 - Marketing: AI-generated marketing campaigns analyzed consumer preferences and trends, creating targeted and effective advertisements that outperformed human-driven strategies.
2024 - Music composition: AI-composed music achieved human-level creativity and complexity, expanding the realm of musical possibilities.
2024 - Social media management: AI-powered tools optimized content creation, scheduling, and engagement, outperforming human social media managers in efficiency and reach.
2024 - Technical support: AI-driven systems provided real-time, personalized technical support, resolving issues more quickly and accurately than human agents.
2024 - Language learning: AI-driven language learning platforms provided personalized, immersive experiences, accelerating language acquisition beyond traditional teaching methods.
2024 - Transportation management: AI-powered traffic control systems optimized traffic flow and reduced congestion, surpassing human-operated systems in efficiency and effectiveness.
2024 - Pharmaceutical manufacturing: AI-driven process optimization in pharmaceutical production increased efficiency, quality, and safety, outperforming traditional human-controlled processes.
2025 - Robotic journalism: AI-generated news articles achieved human-level quality, covering a wider range of topics and providing faster updates than human journalists.
2025 - E-commerce: AI-powered recommendation engines surpassed human curators in providing personalized product suggestions, increasing customer satisfaction and sales.
2025 - Hazardous materials handling: AI-controlled robots safely managed hazardous materials, reducing human exposure and risk in dangerous environments.
2025 - Emergency response: AI-driven systems coordinated emergency response efforts, optimizing resource allocation and decision-making in critical situations.
2025 - Environmental monitoring: AI-powered systems analyzed environmental data, predicting and mitigating the impact of natural disasters more effectively than human-led efforts.
2025 - Robotic nursing: AI-assisted robots provided human-like care in hospitals and healthcare facilities, improving patient outcomes and reducing the burden on human nursing staff.
2025 - Quality control: AI-driven inspection systems surpassed human performance in identifying manufacturing defects, increasing overall product quality and reducing waste.
2025 - Art restoration: AI-powered tools accurately restored damaged artworks, preserving cultural heritage with greater precision than human restorers.
2025 - Construction: AI-assisted robots performed construction tasks with human-like precision, improving efficiency and reducing the risk of accidents on job sites.
2025 - Geospatial analysis: AI-driven tools outperformed humans in processing and interpreting geospatial data, supporting more informed decision-making in various fields.
2025 - Event planning: AI-powered tools streamlined event management, optimizing logistics and resource allocation more effectively than human planners.
2025 - Air traffic control: AI-driven systems managed air traffic with greater efficiency and safety, reducing delays and the risk of accidents.
2026 - Medical research: AI algorithms accelerated the analysis of medical data, identifying correlations and patterns beyond human capabilities, and speeding up medical breakthroughs.
2026 - Personal fitness coaching: AI-driven fitness apps provided personalized exercise programs and real-time feedback, outperforming human personal trainers in convenience and effectiveness.
2026 - Robotic bartending: AI-powered robotic bartenders mixed and served drinks with human-level precision, increasing efficiency and consistency in the hospitality industry.
2026 - Genetic analysis: AI systems outperformed humans in interpreting genetic data, enabling more accurate predictions of disease risk and personalized medicine.
2026 - Urban farming: AI-driven vertical farming systems optimized crop growth and resource usage, surpassing traditional human-operated farming methods in efficiency and sustainability.
2026 - Ocean exploration: AI-powered underwater drones mapped and analyzed ocean depths, providing insights into marine ecosystems and geological features beyond human capabilities.
2026 - Biomedical engineering: AI-driven design and optimization of medical devices and prosthetics achieved superior performance and customization compared to traditional human-led approaches.
2026 - Public safety: AI-powered surveillance and predictive analytics enhanced public safety efforts, preventing and responding to incidents more effectively than human-led initiatives.
2026 - Veterinary diagnostics: AI systems accurately diagnosed animal diseases, improving veterinary care and reducing the need for invasive procedures.
2026 - Water management: AI-driven water treatment and distribution systems optimized resource usage and minimized waste, outperforming traditional human-operated systems.
2027 - Animation: AI-generated animations achieved human-level quality and expressiveness, reducing the time and labor required for complex animation projects.
2027 - Space exploration: AI-powered systems and robots performed space exploration tasks with greater autonomy and efficiency, reducing the need for human intervention in harsh environments.
2027 - Supply chain management: AI-driven tools optimized supply chain logistics, predicting demand fluctuations and reducing costs more effectively than human planners.
2027 - Forest management: AI-assisted drones and robots monitored and maintained forest health, improving conservation efforts and reducing the need for human labor.
2027 - Sentiment analysis: AI algorithms accurately assessed human emotions in text and speech, enabling more effective communication and customer service.
2027 - Intellectual property management: AI-powered tools streamlined the patent application process, identifying prior art and generating patent claims more efficiently than human experts.
2027 - Archaeological analysis: AI-driven tools deciphered ancient texts and analyzed artifacts with greater speed and accuracy than human archaeologists, uncovering new historical insights.
2028 - Industrial inspection: AI-powered robotic systems performed comprehensive inspections of infrastructure and machinery, detecting flaws and predicting failures more accurately than humans.
2028 - Interior design: AI-generated interior designs optimized space usage, aesthetics, and functionality, outperforming human designers in efficiency and personalization.
2028 - Real estate appraisal: AI-driven tools assessed property values with greater accuracy and speed, reducing the need for manual appraisals.
2028 - Human pose estimation: AI algorithms accurately analyzed human body movements in real-time, enabling advanced applications in sports, healthcare, and entertainment.
2028 - Art curation: AI-generated art exhibitions combined aesthetics, historical context, and visitor preferences more effectively than human curators, enhancing the museum experience.
2028 - Urban sanitation: AI-driven sanitation robots efficiently cleaned and maintained urban environments, reducing the need for human labor and improving public health.
2028 - Sleep analysis: AI-powered sleep tracking devices provided personalized recommendations for sleep improvement, surpassing human-led sleep assessments in accuracy and convenience.
2028 - Predictive policing: AI-driven tools analyzed crime data to predict and prevent criminal activity, enhancing public safety and resource allocation more effectively than traditional methods.
2029 - Astrophotography: AI-driven image processing techniques enhanced astrophotography, achieving higher-quality images and revealing celestial details previously unattainable by human processing methods.
2029 - Energy management: AI-powered systems optimized energy consumption and distribution in smart grids, improving efficiency and reducing environmental impact more effectively than human-led efforts.
2029 - Telecommunications: AI-driven tools maintained and optimized telecommunications networks, enhancing reliability, and reducing downtime more efficiently than human technicians.
2029 - Soil analysis: AI-powered soil sensors and analysis systems provided detailed, real-time information about soil health and composition, surpassing traditional human-operated testing methods.
2029 - Sports analytics: AI-driven performance analysis tools provided real-time insights into team dynamics and player performance, improving coaching decisions and strategies more effectively than human analysis.
2029 - Robotic caregiving: AI-assisted robots provided human-like care for children and individuals with special needs, offering personalized support, and reducing the burden on human caregivers.
2029 - Art valuation: AI-driven systems accurately predicted the value of artworks, streamlining the appraisal process, and reducing subjectivity in the art market.
2029 - Political analysis: AI-powered tools analyzed political data and public opinion more efficiently than human analysts, providing more accurate predictions of election outcomes and policy impacts.
2029 - Film editing: AI-driven software streamlined film editing tasks, automatically selecting and combining clips to create engaging narratives more efficiently than human editors.
2029 - Chemical engineering: AI algorithms accelerated chemical process design and optimization, predicting reaction outcomes and reducing trial-and-error experimentation in comparison to traditional human-led approaches.
2030 - Gaming: AI-generated game content and characters provided unique, adaptive gaming experiences, surpassing the capabilities of traditional human-driven game development.
2030 - Pest control: AI-powered pest detection and management systems improved agricultural productivity and reduced environmental impact more effectively than human-operated methods.
2030 - Speech therapy: AI-driven speech therapy tools provided personalized, real-time feedback and progress tracking, enhancing outcomes more effectively than traditional human-led therapy.
2030 - Natural language generation: AI systems composed human-like text across various domains, outperforming human writers in speed, accuracy, and adaptability.
2030 - Job matching: AI-powered platforms accurately matched job seekers with relevant opportunities, optimizing the hiring process and reducing the need for human recruiters.
2030 - Marine biology: AI-driven analysis of marine ecosystems provided deeper insights into species distribution and behavior, enabling more effective conservation efforts beyond human capabilities.
2030 - Earthquake prediction: AI algorithms accurately predicted seismic events by analyzing vast amounts of geological data, outperforming traditional human-led methods.
2030 - Online privacy: AI-driven privacy protection tools detected and mitigated online threats, ensuring user privacy and security more effectively than human-operated methods.
2030 - DNA synthesis: AI-powered tools optimized DNA synthesis, improving the efficiency and accuracy of gene editing and synthetic biology applications beyond human-led approaches.
2030 - Travel planning: AI-generated travel itineraries combined personal preferences, local insights, and real-time data to create customized experiences that surpassed traditional human-led planning.
2031 - Space debris tracking: AI-driven systems accurately tracked and predicted the movement of space debris, improving satellite safety and collision avoidance beyond human capabilities.
2031 - Wildlife conservation: AI-powered tools analyzed wildlife populations and habitats, enabling more effective conservation efforts and reducing the need for manual monitoring by humans.
2031 - Molecular modeling: AI algorithms accurately predicted molecular structures and interactions, speeding up drug discovery and materials science research compared to human-led methods.
2031 - Legal document analysis: AI-driven tools streamlined the review and analysis of legal documents, increasing efficiency and reducing errors compared to traditional human-led approaches.
2031 - Smart homes: AI-powered systems managed energy consumption, security, and home maintenance more effectively than human-operated methods, improving comfort and sustainability.
2031 - Disaster recovery: AI-driven robots and drones performed search and rescue operations in hazardous environments, reducing the risk to human responders and improving recovery outcomes.
2031 - Bioinformatics: AI algorithms analyzed vast amounts of biological data, identifying patterns and correlations beyond human capabilities, leading to new discoveries in genetics and molecular biology.
2031 - Waste management: AI-powered sorting and recycling systems improved waste management efficiency and reduced environmental impact more effectively than human-operated methods.
2031 - Climate modeling: AI-driven climate models provided more accurate predictions of climate change impacts, informing policy decisions and mitigation strategies beyond human-led modeling capabilities.
2031 - Talent scouting: AI-powered tools identified and evaluated prospective talent in sports, entertainment, and various industries, reducing human biases and improving selection processes.
2032 - Robotic surgery: AI-assisted surgical robots performed complex procedures with greater precision and reduced complications compared to traditional human-led surgeries.
2032 - Meteorology: AI-driven weather prediction models provided more accurate and localized forecasts, enhancing public safety and informing decision-making beyond human capabilities.
2032 - Customer behavior analysis: AI-powered tools analyzed customer behavior and preferences more effectively than human analysts, enabling more targeted marketing and sales strategies.
2032 - Pollution monitoring: AI-driven systems detected and analyzed air and water pollution levels, informing more effective environmental policies and cleanup efforts compared to traditional human-operated methods.
2032 - Drone traffic management: AI-powered tools optimized drone flight paths and airspace usage, improving efficiency and reducing the risk of collisions beyond human-led management.
2032 - Public health: AI algorithms analyzed vast amounts of health data, identifying disease outbreaks and predicting public health trends more accurately than human-led methods.
2032 - Nanotechnology: AI-driven design and synthesis of nanomaterials accelerated advancements in electronics, medicine, and other fields beyond human capabilities.
2032 - Personal finance management: AI-powered tools optimized budgeting, investment, and tax planning, providing personalized financial advice more effectively than traditional human advisors.
2032 - Digital art: AI-generated visual art achieved human-level creativity and complexity, pushing the boundaries of artistic expression and reducing the time and effort required by human artists.
2032 - Scientific peer review: AI-driven systems evaluated the quality and validity of scientific research, streamlining the peer review process and reducing human biases and errors.
2033 - Electronic component design: AI-driven tools optimized the design and manufacturing of electronic components, improving performance and efficiency beyond human-led methods.
2033 - Aquaculture: AI-powered systems managed fish farming operations, optimizing feeding, water quality, and growth rates more effectively than traditional human-operated methods.
2033 - Fashion design: AI-generated fashion designs combined creativity, trend analysis, and customer preferences more effectively than human designers, streamlining the fashion industry.
2033 - Music composition: AI-driven systems composed original music pieces in various genres, achieving human-level creativity and expression while reducing the time and effort required by human composers.
2033 - Mental health assessment: AI-powered tools accurately assessed and diagnosed mental health conditions, improving access to mental health care and reducing the burden on human professionals.
2033 - Materials discovery: AI algorithms accelerated the discovery and optimization of new materials for various applications, reducing the time and cost of experimentation compared to human-led approaches.
2033 - Industrial design: AI-driven tools streamlined product design and prototyping, optimizing functionality, aesthetics, and manufacturability beyond human capabilities.
2033 - Ecosystem restoration: AI-powered systems analyzed and managed ecosystem restoration projects, improving the efficiency and success rate of efforts to restore degraded environments.
2033 - Seismology: AI algorithms analyzed seismic data more effectively than human seismologists, improving our understanding of Earth's geology and natural processes.
2033 - Cognitive training: AI-driven cognitive training tools provided personalized and adaptive exercises, enhancing learning and memory more effectively than traditional human-led methods.

submitted by marcandreewolf to Futurology [link] [comments]

2023.03.20 20:29 rgfguaieuh 😘👉👌 IF YOU TAP YOU WILL CUM 🍆💦

2019 silverado crew cab

I asked GPT-4 to compile a timeline on when which human tasks (not jobs) have been/will be replaced by AI or robots, plus one sentence reasoning each - it runs from 1959 to 2033. In a second post it lists which tasks it assumes will NOT be replaced by 2050, and why. (Remember it's cut-off 2021.)

Anonymous readerReport<\/a> <\/span><\/h4>\n2015-04-21 16:29:00<\/div>\nhope to see more parts of this story<\/div>\n\n

Anonymous readerReport<\/a> <\/span><\/h4>\n2014-10-01 03:50:08<\/div>\npart 3 part3 part 3<\/div>\n\n

anonymous readerReport<\/a> <\/span><\/h4>\n2013-01-18 17:42:46<\/div>\nhot and if they can both stop time what is preventing them from being stopped along with it?<\/div>\n\n

anonymous readerReport<\/a> <\/span><\/h4>\n2012-11-04 23:54:24<\/div>\nIt would be better if when he stopped time it didnt stop for his brother cause then he could stay in time pause for as long as he wanted<\/div>\n\n

anonymous readerReport<\/a> <\/span><\/h4>\n2012-02-12 14:09:53<\/div>\nSOX9Pt Yeahï¿½ I read and I understand that I do not understand anything what it is about:D<\/div>\n\n

Anonymous readerReport<\/a> <\/span><\/h4>\n2010-04-25 17:13:42<\/div>\nSome people on the site are actually female (me.)\/smart enough to get the concept, thanks for that =).<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-06-05 10:15:14<\/div>\nAmazingly sexy !! bc.<\/div>\n\n","

READER<\/a>Report<\/a> <\/span><\/h4>\n2006-07-24 17:12:02<\/div>\nTotally brillant and very sexy!!! How sad that some people are too useless to get the concept! :)<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2006-03-19 15:28:58<\/div>\nThat was very unique... i love the fact that the reader is the female role (something many of us are too crude to imagine) but is still a great story.<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2006-03-13 17:48:26<\/div>\ny r we the fukin girl u fukin dik go get a life<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2006-03-13 01:21:05<\/div>\ngreat story<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2006-03-12 22:39:36<\/div>\nWhat The Fuck, Why Would You Put Us In The Female Roll, I Think You Have Some Fucking Gender Issues You Sick Fuck<\/div>\n\n","

ngochoang914<\/a>Report<\/a> <\/span><\/h4>\n2019-06-05 20:29:16<\/div>\nSo... the 2 boys are super gay when they’re alone. But when there’s a girl, they like “straight it up”. That’s not how bisexuality works. Im still waiting for some real Bi 3some. But great job so far.<\/div>\n\n

thegame07Report<\/a> <\/span><\/h4>\n2009-10-12 00:21:36<\/div>\nYou really want him to do it that bad? Haha<\/div>\n\n

Anonymous readerReport<\/a> <\/span><\/h4>\n2009-10-11 09:44:04<\/div>\nWTF? Dude, how friggin' long is this series gonna go until Steve finally fucks his sister up the ass? Bret has done it like three times, in front of Steve even. It's annoying.<\/div>\n\n

Anonymous readerReport<\/a> <\/span><\/h4>\n2009-10-06 12:17:05<\/div>\nbut they will come home sooner or later - so make it sooner then they can catch em and join - isnt there cousins\/aunts\/uncles in Calif - may want to go out with family next year<\/div>\n\n

thegame07<\/a>Report<\/a> <\/span><\/h4>\n2009-10-04 00:48:35<\/div>\nThey can't...at the beginning of the series, it cleary explains their whereabouts.<\/div>\n\n","

Anonymous readerReport<\/a> <\/span><\/h4>\n2015-02-18 04:57:55<\/div>\nRomance<\/div>\n\n

anonymous readerReport<\/a> <\/span><\/h4>\n2012-01-05 13:32:38<\/div>\nI like the romance so I don't know about the twist. I guess a twist would be ok if you keep the romance<\/div>\n\n

anonymous readerReport<\/a> <\/span><\/h4>\n2012-01-01 09:26:51<\/div>\nI think a twist would be great!<\/div>\n\n

Fosterkat<\/a>Report<\/a> <\/span><\/h4>\n2011-12-31 21:56:55<\/div>\nLike I said tell me if you want a twist r to continue with the romance<\/div>\n\n