Roblox boxing beta script

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.

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2023.03.20 20:31 EchoJobs Roblox is hiring Principal Frontend Software Engineer - Roblox OS USD 315k-383k San Mateo, CA [React TypeScript GraphQL Microservices Go]

Roblox is hiring Principal Frontend Software Engineer - Roblox OS USD 315k-383k San Mateo, CA [React TypeScript GraphQL Microservices Go]

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2023.03.20 20:31 EchoJobs Roblox is hiring Principal Frontend Software Engineer - Roblox OS USD 315k-383k San Mateo, CA [React TypeScript GraphQL Microservices Go]

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2023.03.20 20:30 OtherwiseAd7731 Rev Zebra Cakes 7g lil nugs

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Roblox boxing beta script

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>\n2010-12-05 07:18:25<\/div>\nnaw love it should continue this story ;)<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-06-10 02:25:20<\/div>\nNice<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-06-02 21:01:58<\/div>\ngreat story!!!!!!!! please post more installments<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-05-24 11:14:11<\/div>\nNice.... very romantic but still a big turn on. I love it!<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-05-04 12:23:03<\/div>\nthat was a really good story you need to write a contiuation of this<\/div>\n\n","

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-29 16:34:31<\/div>\ncome on<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-27 22:42:57<\/div>\nnice work very impressive<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-27 22:32:17<\/div>\npretty good story, very descriptive, needs a little more editing though to catch the grammatical mistakes, i'll give it a 9<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-27 00:54:08<\/div>\nVery good. Work on some grammer though because some parts were difficult to read.<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-26 13:32:02<\/div>\ncouldn't be better<\/div>\n\n","

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-26 00:07:58<\/div>\nGood story and well written indeed. One question, you didn't mention that both their lower lips had to be bleeding from all the biting.<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-25 15:14:52<\/div>\ncontinue plz<\/div>\n\n

READER<\/a>Report<\/a> <\/span><\/h4>\n2007-04-25 13:25:41<\/div>\nSUPERB !!!!!! VERY WELL WRITTEN !!!!<\/div>\n\n