• FROM THE RICH£ST COMPANY TO Z£RO...................

    Remember the Kodak company? In 1997, Kodak had about 160,000 employees.
    And about 85% of the world's photography was done with Kodak cameras. With the rise of mobile cameras over the past few years, Kodak Camera Company is out of the market. Even Kodak went completely bankrupt and all his employees were fired.

    At the same time many more famous companies had to stop themselves. Like

    HMT (clock)
    BAJAJ (स्कूटर)
    DYANORA (TV)
    MURPHY (RADIO)
    NOKIA (Mobile)
    RAJDOOT (Bike)
    Ambassador (car)

    None of the above companies had bad quality. Why are these companies out yet? Because they could not change themselves over time.

    Standing in the present moment you probably don't think how much the world could change in the next 10 years! And today's 70%-90% jobs will be completely over in the next 10 years. We are slowly entering the era of "Fourth Industrial Revolution".

    Check out today's famous companies-

    UBER is just a software name. No, they have no cars of their own. Yet today the world's largest taxi-fair company is UBER.

    Airbnb is the largest hotel company in the world today. But funny thing is they don't own a single hotel in the world.

    Similarly, examples of countless companies like Paytm, Ola Cab, Oyo rooms etc can be given.

    There is no work for new lawyers in America today, because a legal software called IBM Watson can advocate much better than any new lawyer. Thus, almost 90% of Americans will not have any jobs in the next 10 years. The remaining 10% will be saved. These will be 10% experts.

    The new doctor is also sitting down to work. Watson software can detect cancer and other diseases 4 times more accurately than humans. Computer intelligence will surpass human intelligence by 2030.

    90% of today's cars will not be seen on the roads in the next 20 years. Leftover cars will either run by electricity or hybrid cars. The roads will slowly become empty. Gasoline consumption will decrease and oil producing Arab countries will slowly become bankrupt.

    If you want a car you have to ask for a car from a software like Uber. And as soon as you ask for a car, a completely driverless car will come and park in front of your door. If you travel with several people in the same car, the rent of a car per person will be less than a bike.

    Driving without driver will reduce the number of accidents by 99%. And this is why car insurance will stop and car insurance companies will be out.

    Things like driving on earth will no longer survive. Traffic police and parking staff won't be required when 90% of vehicles disappear from the road.

    Just think, there used to be STD booths in the streets even 10 years ago. All these STD booths were forced to close after the mobile revolution came in the country. Those who survived have become mobile recharge shops. Again online revolution in mobile recharge. People started recharging their mobile online sitting at home. Had to replace these recharge shops again. Now these are just mobile phones to buy and sell and repair shops. But this will also change very soon. Mobile phone sales are increasing directly from Amazon, Flipkart.

    The definition of money is also changing. There used to be cash but in today's age it has become "plastic money". Credit card and debit card round was a few days ago. Now that too is changing and the era of mobile wallet is coming. Growing market of Paytm, one click of mobile money.

    Those who cannot change with age, age removes them from the earth. So keep changing with the times.

    Keep creating great content, keep moving with time.

    #copied

    Kuma Conrade VID's

    FOR MORE UPDATE PLS SHARE, LIKE COMMENT
    FROM THE RICH£ST COMPANY TO Z£RO................... Remember the Kodak company? In 1997, Kodak had about 160,000 employees. And about 85% of the world's photography was done with Kodak cameras. With the rise of mobile cameras over the past few years, Kodak Camera Company is out of the market. Even Kodak went completely bankrupt and all his employees were fired. At the same time many more famous companies had to stop themselves. Like HMT (clock) BAJAJ (स्कूटर) DYANORA (TV) MURPHY (RADIO) NOKIA (Mobile) RAJDOOT (Bike) Ambassador (car) None of the above companies had bad quality. Why are these companies out yet? Because they could not change themselves over time. Standing in the present moment you probably don't think how much the world could change in the next 10 years! And today's 70%-90% jobs will be completely over in the next 10 years. We are slowly entering the era of "Fourth Industrial Revolution". Check out today's famous companies- UBER is just a software name. No, they have no cars of their own. Yet today the world's largest taxi-fair company is UBER. Airbnb is the largest hotel company in the world today. But funny thing is they don't own a single hotel in the world. Similarly, examples of countless companies like Paytm, Ola Cab, Oyo rooms etc can be given. There is no work for new lawyers in America today, because a legal software called IBM Watson can advocate much better than any new lawyer. Thus, almost 90% of Americans will not have any jobs in the next 10 years. The remaining 10% will be saved. These will be 10% experts. The new doctor is also sitting down to work. Watson software can detect cancer and other diseases 4 times more accurately than humans. Computer intelligence will surpass human intelligence by 2030. 90% of today's cars will not be seen on the roads in the next 20 years. Leftover cars will either run by electricity or hybrid cars. The roads will slowly become empty. Gasoline consumption will decrease and oil producing Arab countries will slowly become bankrupt. If you want a car you have to ask for a car from a software like Uber. And as soon as you ask for a car, a completely driverless car will come and park in front of your door. If you travel with several people in the same car, the rent of a car per person will be less than a bike. Driving without driver will reduce the number of accidents by 99%. And this is why car insurance will stop and car insurance companies will be out. Things like driving on earth will no longer survive. Traffic police and parking staff won't be required when 90% of vehicles disappear from the road. Just think, there used to be STD booths in the streets even 10 years ago. All these STD booths were forced to close after the mobile revolution came in the country. Those who survived have become mobile recharge shops. Again online revolution in mobile recharge. People started recharging their mobile online sitting at home. Had to replace these recharge shops again. Now these are just mobile phones to buy and sell and repair shops. But this will also change very soon. Mobile phone sales are increasing directly from Amazon, Flipkart. The definition of money is also changing. There used to be cash but in today's age it has become "plastic money". Credit card and debit card round was a few days ago. Now that too is changing and the era of mobile wallet is coming. Growing market of Paytm, one click of mobile money. Those who cannot change with age, age removes them from the earth. So keep changing with the times. Keep creating great content, keep moving with time. #copied Kuma Conrade VID's FOR MORE UPDATE PLS SHARE, LIKE COMMENT
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  • TRANSGENDER PRISONERS PANIC OVER TRUMPS NEW ORDER TO TRANSFER THEM TO MEN'S PRISON

    Hundreds of transgender federal prisoners face uncertainty and fear after President Donald Trump’s executive order mandating transfers to facilities based on biological sex rather than gender identity.

    The move has sparked concerns, particularly from legal advocates who warn of the dangers these inmates may face in male prisons.

    “It’s going to be incredibly dangerous,” said attorney Moira Meltzer-Cohen, who represents Donna Langan, a transgender woman serving a life sentence for bank robbery, as quoted by DailyMail UK.

    Meltzer-Cohen fears a “bloodbath” if trans inmates are forced into male prisons.

    The order, signed on Trump’s first day in office, states the government will recognise only two sexes and restrict “intimate spaces” like bathrooms and dorms to biological sex. Federal funding for transition-related healthcare has also been halted.

    Sandra Gant, a federal public defender, revealed that her office was alerted after a trans client was segregated for transfer to a men’s prison. “She is terrified,” Gant shared, calling for legal strategies to challenge the policy.

    Rhonda Fleming, a female inmate in Texas, welcomed the decision after her failed legal battle to exclude trans women from women’s prisons, citing fears for her safety. Fleming claimed some male inmates fake gender identities to serve sentences in women’s facilities.

    The Bureau of Prisons, which oversees approximately 1,500 trans women and 750 trans men, has yet to decide on placements for inmates who have undergone gender-affirming surgeries, citing additional security concerns.

    The executive order, part of Trump’s broader rollback of protections for transgender individuals, faces potential legal challenges from groups
    TRANSGENDER PRISONERS PANIC OVER TRUMPS NEW ORDER TO TRANSFER THEM TO MEN'S PRISON Hundreds of transgender federal prisoners face uncertainty and fear after President Donald Trump’s executive order mandating transfers to facilities based on biological sex rather than gender identity. The move has sparked concerns, particularly from legal advocates who warn of the dangers these inmates may face in male prisons. “It’s going to be incredibly dangerous,” said attorney Moira Meltzer-Cohen, who represents Donna Langan, a transgender woman serving a life sentence for bank robbery, as quoted by DailyMail UK. Meltzer-Cohen fears a “bloodbath” if trans inmates are forced into male prisons. The order, signed on Trump’s first day in office, states the government will recognise only two sexes and restrict “intimate spaces” like bathrooms and dorms to biological sex. Federal funding for transition-related healthcare has also been halted. Sandra Gant, a federal public defender, revealed that her office was alerted after a trans client was segregated for transfer to a men’s prison. “She is terrified,” Gant shared, calling for legal strategies to challenge the policy. Rhonda Fleming, a female inmate in Texas, welcomed the decision after her failed legal battle to exclude trans women from women’s prisons, citing fears for her safety. Fleming claimed some male inmates fake gender identities to serve sentences in women’s facilities. The Bureau of Prisons, which oversees approximately 1,500 trans women and 750 trans men, has yet to decide on placements for inmates who have undergone gender-affirming surgeries, citing additional security concerns. The executive order, part of Trump’s broader rollback of protections for transgender individuals, faces potential legal challenges from groups
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  • Get Book: https://amzn.to/4juFMeW

    In "Those Who Live Without Discipline, Die Without Honor," Modern Arjuna explores the profound relationship between discipline, personal integrity, and the pursuit of a meaningful life. Through a combination of philosophical insights, practical wisdom, and real-life examples, the author encourages readers to cultivate discipline as a foundation for honor and success. Here are ten key lessons and insights from the book:

    1. Discipline as a Fundamental Value: The book emphasizes that discipline is not merely a tool for achieving goals but a core value that shapes character. Arjuna argues that a disciplined life leads to greater self-respect and respect from others, laying the groundwork for a life of honor.

    2. The Connection Between Discipline and Freedom: Contrary to the belief that discipline restricts freedom, the author illustrates that true freedom comes from self-discipline. By mastering oneself, individuals can make informed choices that align with their values and long-term aspirations.

    3. Consistency is Key: Arjuna highlights the importance of consistency in practicing discipline. Small, daily actions build momentum over time, leading to significant transformation. The emphasis is on creating habits that reinforce discipline in various aspects of life.

    4. Embrace Hardship: The book teaches that hardship and challenges are integral to the journey of personal growth. Embracing difficulties with a disciplined mindset can foster resilience and strength, enabling individuals to face future obstacles with confidence.

    5. The Role of Accountability: Arjuna underscores the significance of accountability in maintaining discipline. By setting up systems of accountability, whether through mentors, peers, or self-reflection, individuals can stay committed to their goals and values.

    6. Mindfulness and Self-Awareness: The author encourages readers to cultivate mindfulness and self-awareness as essential components of discipline. Understanding one’s thoughts, emotions, and behaviors allows individuals to make conscious choices that align with their principles.

    7. Discipline in Relationships: The book explores how discipline extends beyond personal goals to encompass relationships. Practicing discipline in communication, commitments, and interactions fosters trust and respect, strengthening bonds with others.

    8. The Dangers of Instant Gratification: Arjuna warns against the pitfalls of seeking instant gratification, which can undermine long-term goals. The book advocates for patience and delayed gratification as essential aspects of a disciplined life.

    9. Honor as a Lifelong Pursuit: The author positions honor as a lifelong pursuit that is intricately linked to discipline. Living honorably requires consistent effort and adherence to one’s principles, serving as a guiding light in decision-making.

    10. Legacy and Impact: Finally, the book encourages readers to consider the legacy they leave behind. Living a disciplined life not only honors oneself but also positively impacts others. It emphasizes that true honor is reflected in the lives we touch and the values we uphold.

    "Those Who Live Without Discipline, Die Without Honor" by Modern Arjuna presents a compelling argument for the importance of discipline in achieving a meaningful and honorable life. Through ten key lessons and insights, the book encourages readers to embrace discipline as a fundamental value that shapes character and fosters freedom. Arjuna’s emphasis on consistency, accountability, and mindfulness highlights the transformative power of discipline in personal growth and relationships. Ultimately, the book serves as a powerful reminder that the pursuit of honor is an ongoing journey, deeply rooted in the practice of self-discipline and integrity. Send your response Pleased !
    Get Book: https://amzn.to/4juFMeW In "Those Who Live Without Discipline, Die Without Honor," Modern Arjuna explores the profound relationship between discipline, personal integrity, and the pursuit of a meaningful life. Through a combination of philosophical insights, practical wisdom, and real-life examples, the author encourages readers to cultivate discipline as a foundation for honor and success. Here are ten key lessons and insights from the book: 1. Discipline as a Fundamental Value: The book emphasizes that discipline is not merely a tool for achieving goals but a core value that shapes character. Arjuna argues that a disciplined life leads to greater self-respect and respect from others, laying the groundwork for a life of honor. 2. The Connection Between Discipline and Freedom: Contrary to the belief that discipline restricts freedom, the author illustrates that true freedom comes from self-discipline. By mastering oneself, individuals can make informed choices that align with their values and long-term aspirations. 3. Consistency is Key: Arjuna highlights the importance of consistency in practicing discipline. Small, daily actions build momentum over time, leading to significant transformation. The emphasis is on creating habits that reinforce discipline in various aspects of life. 4. Embrace Hardship: The book teaches that hardship and challenges are integral to the journey of personal growth. Embracing difficulties with a disciplined mindset can foster resilience and strength, enabling individuals to face future obstacles with confidence. 5. The Role of Accountability: Arjuna underscores the significance of accountability in maintaining discipline. By setting up systems of accountability, whether through mentors, peers, or self-reflection, individuals can stay committed to their goals and values. 6. Mindfulness and Self-Awareness: The author encourages readers to cultivate mindfulness and self-awareness as essential components of discipline. Understanding one’s thoughts, emotions, and behaviors allows individuals to make conscious choices that align with their principles. 7. Discipline in Relationships: The book explores how discipline extends beyond personal goals to encompass relationships. Practicing discipline in communication, commitments, and interactions fosters trust and respect, strengthening bonds with others. 8. The Dangers of Instant Gratification: Arjuna warns against the pitfalls of seeking instant gratification, which can undermine long-term goals. The book advocates for patience and delayed gratification as essential aspects of a disciplined life. 9. Honor as a Lifelong Pursuit: The author positions honor as a lifelong pursuit that is intricately linked to discipline. Living honorably requires consistent effort and adherence to one’s principles, serving as a guiding light in decision-making. 10. Legacy and Impact: Finally, the book encourages readers to consider the legacy they leave behind. Living a disciplined life not only honors oneself but also positively impacts others. It emphasizes that true honor is reflected in the lives we touch and the values we uphold. "Those Who Live Without Discipline, Die Without Honor" by Modern Arjuna presents a compelling argument for the importance of discipline in achieving a meaningful and honorable life. Through ten key lessons and insights, the book encourages readers to embrace discipline as a fundamental value that shapes character and fosters freedom. Arjuna’s emphasis on consistency, accountability, and mindfulness highlights the transformative power of discipline in personal growth and relationships. Ultimately, the book serves as a powerful reminder that the pursuit of honor is an ongoing journey, deeply rooted in the practice of self-discipline and integrity. Send your response Pleased !
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  • Court Orders Lady to Pay ₦150k for Failing to Visit Boyfriend After Receiving ₦3k Transport Fare

    A Magistrate Court in Ilesa, Osun State, has ordered Rhoda Adu to pay ₦150,000 to her boyfriend, Eru Dupe, after she collected ₦3,000 as transport fare but failed to visit him as promised.

    The incident began when Eru Dupe transferred the transport fare to Rhoda, who subsequently switched off her phone and failed to show up. Feeling defrauded and emotionally distressed, Eru reported the matter to the Ayeso Police Station. Rhoda was later arrested and brought to court.

    During the trial, Eru presented evidence, including the mobile money transfer and WhatsApp messages exchanged between him and Rhoda.

    In her ruling, Magistrate Akogun Oludare ordered Rhoda to refund the ₦3,000, pay an additional ₦100,000 for breach of agreement, and another ₦50,000 for emotional damages. The court emphasized that the ruling was intended to deter others from similar behavior.

    The boyfriend, visibly relieved, expressed gratitude for the justice served, while Rhoda was admonished for her actions.
    Court Orders Lady to Pay ₦150k for Failing to Visit Boyfriend After Receiving ₦3k Transport Fare A Magistrate Court in Ilesa, Osun State, has ordered Rhoda Adu to pay ₦150,000 to her boyfriend, Eru Dupe, after she collected ₦3,000 as transport fare but failed to visit him as promised. The incident began when Eru Dupe transferred the transport fare to Rhoda, who subsequently switched off her phone and failed to show up. Feeling defrauded and emotionally distressed, Eru reported the matter to the Ayeso Police Station. Rhoda was later arrested and brought to court. During the trial, Eru presented evidence, including the mobile money transfer and WhatsApp messages exchanged between him and Rhoda. In her ruling, Magistrate Akogun Oludare ordered Rhoda to refund the ₦3,000, pay an additional ₦100,000 for breach of agreement, and another ₦50,000 for emotional damages. The court emphasized that the ruling was intended to deter others from similar behavior. The boyfriend, visibly relieved, expressed gratitude for the justice served, while Rhoda was admonished for her actions.
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  • Lagos is wild I'm not gonna lie!
    After my landlord increased my rent by over 20% I knew it was time to leave the wilderness and seek the promised land out there
    First thing early morning I decided to go and look for house my self. I refused to use agents because the shege these agents showed me before I got my present house, the trauma still lives with me
    Lagos is wild I'm not gonna lie! After my landlord increased my rent by over 20% I knew it was time to leave the wilderness and seek the promised land out there First thing early morning I decided to go and look for house my self. I refused to use agents because the shege these agents showed me before I got my present house, the trauma still lives with me
    10 Comments 0 Shares 74 Views 0 Reviews
  • BACKGROUND/HISTORY OF ARTIFICIAL INTELLIGENCE

    The background of Artificial Intelligence (AI) encompasses various disciplines and developments. Here's a concise overview:

    Philosophical Roots: Ancient Greek philosophers contemplated the nature of thought and reasoning, laying early foundations for the concept of artificial beings with intelligence.

    Mathematical Logic (19th Century): Mathematical developments by logicians like George Boole provided a formal basis for symbolic reasoning, a crucial element in AI.

    Computational Theory (20th Century): Alan Turing's work on computation and the Turing machine laid the groundwork for understanding what computers could achieve, influencing AI development.

    Cybernetics (1940s-1950s): Pioneers like Norbert Wiener explored the parallels between human and machine control systems, influencing early AI researchers.

    Dartmouth Conference (1956): AI as a field emerged with the Dartmouth Conference, where researchers envisioned creating machines capable of human-like intelligence.

    Symbolic AI (1950s-1960s): Early AI focused on symbolic reasoning, using symbols and rules to represent knowledge and solve problems.

    Connectionism (1980s): The idea of simulating neural networks and learning from data gained traction, leading to the development of connectionist models.

    AI Winters (1970s-1980s): Limited progress and unmet expectations led to periods known as AI winters, where funding and interest in AI dwindled.

    Machine Learning Resurgence (1990s-2000s): Advances in machine learning, particularly with statistical and probabilistic methods, rejuvenated AI research.

    Big Data and Deep Learning (2010s): The availability of vast datasets and increased computing power fueled breakthroughs in deep learning, transforming AI applications.Understanding the background of AI involves recognizing the interdisciplinary nature of its roots, spanning philosophy, mathematics, computer science, and cognitive science. This rich history has shaped the diverse approaches and methodologies within the field.

    TYPES OF ARTIFICIAL INTELLIGENCE

    Artificial Intelligence (AI) can be broadly categorized into three main types:-
    1. Narrow or Weak AI
    2. General or Strong AI
    3. Artificial Super Intelligence

    Narrow or Weak AI:- Definition: AI systems designed and trained for a specific task. Example: Virtual assistants like Siri or Alexa, image recognition software, and chatbots fall under narrow AI.

    General or Strong AI:- Definition: AI systems with the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence. Example: True general AI does not currently exist, and its development remains a theoretical goal.

    Artificial Super Intelligence (ASI):- Definition: An advanced form of AI surpassing human intelligence in every aspect. Example: Hypothetical and often discussed in the context of potential future advancements. It raises ethical and existential considerations. These categories can also be viewed in terms of AI capabilities:

    Reactive Machines:- Follow predefined rules and respond to specific inputs. Limited to the programmed knowledge and lack learning capabilities.

    Limited Memory:- Can learn from historical data to make better decisions. Common in applications like self-driving cars.Theory of Mind (ToM): Theoretical AI that could understand human emotions, beliefs, intentions, and apply this understanding to interact more naturally.

    Self-Aware AI:- A level of AI that has consciousness and self-awareness, understanding its own state and existence. As of now, most AI applications fall under narrow or weak AI, with ongoing research aiming to advance the field toward the development of more sophisticated AI systems.

    APPLICATIONS OF ARTIFICIAL INTELLIGENCE

    Artificial Intelligence (AI) finds applications across various industries, enhancing efficiency and enabling new capabilities. Here are some key areas of AI application:

    HEALTHCARE:
    1. Diagnostic Assistance: AI assists in medical image analysis for conditions like cancer.
    2. Drug Discovery: Accelerates drug development through pattern recognition and data analysis.
    3. Personalized Medicine: Tailors treatment plans based on individual patient data.

    FINANCE:
    1. Algorithmic Trading: AI analyzes market trends for automated trading decisions.
    2. Fraud Detection: Identifies unusual patterns and activities to prevent fraudulent transactions.
    3. Customer Service: Chatbots and virtual assistants handle routine queries and tasks.

    TRANSPORTATION:
    1. Self-Driving Cars: AI processes real-time data to navigate and make driving decisions.
    2. Traffic Management: AI optimizes traffic flow and reduces congestion.

    EDUCATION:
    1. Adaptive Learning Systems: Personalize learning experiences based on individual student progress.
    2. Automated Grading: AI assesses and grades assignments, saving time for educators.

    RETAIL:
    1. Recommendation Systems: AI suggests products based on customer preferences and behavior.
    2. Inventory Management: Predictive analytics optimize stock levels and reduce wastage.

    MARKETING AND ADVERTISING:
    1. Targeted Advertising: AI analyzes user behavior to deliver personalized ads.
    2. Predictive Analytics: Forecasts market trends and customer behavior for strategic planning.

    CYBER-SECURITY:
    1. Threat Detection: AI identifies and responds to cybersecurity threats in real-time.
    2. Anomaly Detection: Monitors network behavior to detect unusual activities.

    MANUFACTURING:
    1. Predictive Maintenance: AI analyzes sensor data to predict equipment failures.
    2. Quality Control: Computer vision systems inspect products for defects.

    HUMAN RESOURCES:
    1. Recruitment: AI automates candidate screening and identifies potential hires.
    2. Employee Engagement: Analyzes employee data for insights into satisfaction and performance.

    NATURAL LANGUAGE PROCESSING (NLP):
    1. Chatbots and Virtual Assistants: Understand and respond to human language in customer support and information retrieval.

    These applications showcase the versatility of AI, impacting diverse aspects of society and business by automating tasks, improving decision-making, and providing innovative solutions.

    MERITS OR ADVANTAGES OF ARTIFICIAL INTELLIGENCE

    The advantages of Artificial Intelligence (AI) include:
    (a) Efficiency Improvement: AI automates repetitive tasks, enhancing productivity and efficiency in various industries.

    (b) 24/7 Availability: AI systems can operate continuously without fatigue, providing round-the-clock services.

    (c) Data Analysis: AI processes large volumes of data quickly, extracting meaningful insights and patterns.

    (d) Precision and Accuracy: AI systems can perform tasks with high precision and accuracy, minimizing errors.

    (e) Cost Reduction: Automation through AI can lead to cost savings by reducing the need for human labor in certain tasks.

    (f) Task Automation: AI automates mundane and routine tasks, allowing humans to focus on more complex and creative aspects.

    (g) Problem Solving: AI can analyze complex problems and provide solutions based on data and patterns.

    (h) Personalization: AI enables personalized user experiences in applications like recommendation systems and targeted advertising.

    (i) Medical Advances: AI aids in medical diagnosis, drug discovery, and personalized treatment plans, improving healthcare outcomes.

    (j) Innovation Acceleration: AI drives innovation by enabling the development of new technologies and solutions.

    (k) Risk Mitigation: In industries such as finance, AI helps in risk assessment and fraud detection, reducing financial risks.

    (l) Language Processing: NLP applications in AI facilitate natural language understanding, improving communication with machines.

    (m) Predictive Analytics: AI models predict future trends and behaviors, aiding in strategic planning and decision-making.

    (n) Autonomous Systems: AI enables the development of autonomous vehicles and drones, enhancing transportation and logistics.

    (o) Enhanced Customer Service: Chatbots and virtual assistants powered by AI provide instant and efficient customer support.

    While these advantages are significant, it's essential to consider ethical considerations, potential job displacement, and the responsible development and use of AI to address challenges and concerns associated with its deployment.

    DEMERITS OR DISADVANTAGES OF ARTIFICIAL INTELLIGENCE

    The disadvantages of Artificial Intelligence (AI) include:
    (a) Job Displacement: Automation through AI can lead to job losses in certain industries, potentially creating unemployment.

    (b) Bias and Fairness Concerns: AI systems may inherit biases present in training data, leading to unfair or discriminatory outcomes, especially in areas like hiring and decision-making.

    (c) Ethical Dilemmas: AI raises ethical concerns, such as the use of autonomous weapons, invasion of privacy, and the responsibility for AI-driven decisions.

    (d) Security Risks: AI systems can be vulnerable to cyber-attacks, and malicious use of AI poses risks such as deep fake technology for misinformation.

    (e) Lack of Creativity and Intuition: AI lacks true creativity and intuition, struggling with tasks that require a deep understanding of human emotions or abstract concepts.

    (f) High Initial Costs: Implementing AI systems can be expensive, limiting access to certain technologies, particularly for smaller businesses.

    (g) Data Privacy Issues: The collection and use of vast amounts of personal data for AI applications raise concerns about privacy and data security.

    (h) Dependency on Data Quality: The effectiveness of AI relies heavily on the quality and representativeness of training data, which can lead to biased outcomes if not appropriately addressed.

    (i) Complexity and Lack of Transparency: Some AI models, especially deep learning models, can be complex and challenging to interpret, leading to a lack of transparency in decision-making.

    (j) Human Interaction Challenges: Human-machine interaction can be challenging, especially in situations that require emotional intelligence and nuanced understanding.

    (k) Over-Reliance on Technology: Excessive dependence on AI may lead to a loss of critical skills and decision-making capabilities among humans.

    (l) Limited Understanding: AI lacks true comprehension and consciousness, often providing answers without a genuine understanding of the context.

    (m) Social Impact: The widespread use of AI may exacerbate social inequalities if access to AI technologies and benefits is not evenly distributed.

    (n) Regulatory Challenges: The rapid advancement of AI technology poses challenges for regulatory frameworks to keep pace and address potential risks adequately.

    Balancing the advantages of AI with these disadvantages requires careful consideration, ethical guidelines, and ongoing efforts to address emerging challenges.
    BACKGROUND/HISTORY OF ARTIFICIAL INTELLIGENCE The background of Artificial Intelligence (AI) encompasses various disciplines and developments. Here's a concise overview: Philosophical Roots: Ancient Greek philosophers contemplated the nature of thought and reasoning, laying early foundations for the concept of artificial beings with intelligence. Mathematical Logic (19th Century): Mathematical developments by logicians like George Boole provided a formal basis for symbolic reasoning, a crucial element in AI. Computational Theory (20th Century): Alan Turing's work on computation and the Turing machine laid the groundwork for understanding what computers could achieve, influencing AI development. Cybernetics (1940s-1950s): Pioneers like Norbert Wiener explored the parallels between human and machine control systems, influencing early AI researchers. Dartmouth Conference (1956): AI as a field emerged with the Dartmouth Conference, where researchers envisioned creating machines capable of human-like intelligence. Symbolic AI (1950s-1960s): Early AI focused on symbolic reasoning, using symbols and rules to represent knowledge and solve problems. Connectionism (1980s): The idea of simulating neural networks and learning from data gained traction, leading to the development of connectionist models. AI Winters (1970s-1980s): Limited progress and unmet expectations led to periods known as AI winters, where funding and interest in AI dwindled. Machine Learning Resurgence (1990s-2000s): Advances in machine learning, particularly with statistical and probabilistic methods, rejuvenated AI research. Big Data and Deep Learning (2010s): The availability of vast datasets and increased computing power fueled breakthroughs in deep learning, transforming AI applications.Understanding the background of AI involves recognizing the interdisciplinary nature of its roots, spanning philosophy, mathematics, computer science, and cognitive science. This rich history has shaped the diverse approaches and methodologies within the field. TYPES OF ARTIFICIAL INTELLIGENCE Artificial Intelligence (AI) can be broadly categorized into three main types:- 1. Narrow or Weak AI 2. General or Strong AI 3. Artificial Super Intelligence Narrow or Weak AI:- Definition: AI systems designed and trained for a specific task. Example: Virtual assistants like Siri or Alexa, image recognition software, and chatbots fall under narrow AI. General or Strong AI:- Definition: AI systems with the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence. Example: True general AI does not currently exist, and its development remains a theoretical goal. Artificial Super Intelligence (ASI):- Definition: An advanced form of AI surpassing human intelligence in every aspect. Example: Hypothetical and often discussed in the context of potential future advancements. It raises ethical and existential considerations. These categories can also be viewed in terms of AI capabilities: Reactive Machines:- Follow predefined rules and respond to specific inputs. Limited to the programmed knowledge and lack learning capabilities. Limited Memory:- Can learn from historical data to make better decisions. Common in applications like self-driving cars.Theory of Mind (ToM): Theoretical AI that could understand human emotions, beliefs, intentions, and apply this understanding to interact more naturally. Self-Aware AI:- A level of AI that has consciousness and self-awareness, understanding its own state and existence. As of now, most AI applications fall under narrow or weak AI, with ongoing research aiming to advance the field toward the development of more sophisticated AI systems. APPLICATIONS OF ARTIFICIAL INTELLIGENCE Artificial Intelligence (AI) finds applications across various industries, enhancing efficiency and enabling new capabilities. Here are some key areas of AI application: HEALTHCARE: 1. Diagnostic Assistance: AI assists in medical image analysis for conditions like cancer. 2. Drug Discovery: Accelerates drug development through pattern recognition and data analysis. 3. Personalized Medicine: Tailors treatment plans based on individual patient data. FINANCE: 1. Algorithmic Trading: AI analyzes market trends for automated trading decisions. 2. Fraud Detection: Identifies unusual patterns and activities to prevent fraudulent transactions. 3. Customer Service: Chatbots and virtual assistants handle routine queries and tasks. TRANSPORTATION: 1. Self-Driving Cars: AI processes real-time data to navigate and make driving decisions. 2. Traffic Management: AI optimizes traffic flow and reduces congestion. EDUCATION: 1. Adaptive Learning Systems: Personalize learning experiences based on individual student progress. 2. Automated Grading: AI assesses and grades assignments, saving time for educators. RETAIL: 1. Recommendation Systems: AI suggests products based on customer preferences and behavior. 2. Inventory Management: Predictive analytics optimize stock levels and reduce wastage. MARKETING AND ADVERTISING: 1. Targeted Advertising: AI analyzes user behavior to deliver personalized ads. 2. Predictive Analytics: Forecasts market trends and customer behavior for strategic planning. CYBER-SECURITY: 1. Threat Detection: AI identifies and responds to cybersecurity threats in real-time. 2. Anomaly Detection: Monitors network behavior to detect unusual activities. MANUFACTURING: 1. Predictive Maintenance: AI analyzes sensor data to predict equipment failures. 2. Quality Control: Computer vision systems inspect products for defects. HUMAN RESOURCES: 1. Recruitment: AI automates candidate screening and identifies potential hires. 2. Employee Engagement: Analyzes employee data for insights into satisfaction and performance. NATURAL LANGUAGE PROCESSING (NLP): 1. Chatbots and Virtual Assistants: Understand and respond to human language in customer support and information retrieval. These applications showcase the versatility of AI, impacting diverse aspects of society and business by automating tasks, improving decision-making, and providing innovative solutions. MERITS OR ADVANTAGES OF ARTIFICIAL INTELLIGENCE The advantages of Artificial Intelligence (AI) include: (a) Efficiency Improvement: AI automates repetitive tasks, enhancing productivity and efficiency in various industries. (b) 24/7 Availability: AI systems can operate continuously without fatigue, providing round-the-clock services. (c) Data Analysis: AI processes large volumes of data quickly, extracting meaningful insights and patterns. (d) Precision and Accuracy: AI systems can perform tasks with high precision and accuracy, minimizing errors. (e) Cost Reduction: Automation through AI can lead to cost savings by reducing the need for human labor in certain tasks. (f) Task Automation: AI automates mundane and routine tasks, allowing humans to focus on more complex and creative aspects. (g) Problem Solving: AI can analyze complex problems and provide solutions based on data and patterns. (h) Personalization: AI enables personalized user experiences in applications like recommendation systems and targeted advertising. (i) Medical Advances: AI aids in medical diagnosis, drug discovery, and personalized treatment plans, improving healthcare outcomes. (j) Innovation Acceleration: AI drives innovation by enabling the development of new technologies and solutions. (k) Risk Mitigation: In industries such as finance, AI helps in risk assessment and fraud detection, reducing financial risks. (l) Language Processing: NLP applications in AI facilitate natural language understanding, improving communication with machines. (m) Predictive Analytics: AI models predict future trends and behaviors, aiding in strategic planning and decision-making. (n) Autonomous Systems: AI enables the development of autonomous vehicles and drones, enhancing transportation and logistics. (o) Enhanced Customer Service: Chatbots and virtual assistants powered by AI provide instant and efficient customer support. While these advantages are significant, it's essential to consider ethical considerations, potential job displacement, and the responsible development and use of AI to address challenges and concerns associated with its deployment. DEMERITS OR DISADVANTAGES OF ARTIFICIAL INTELLIGENCE The disadvantages of Artificial Intelligence (AI) include: (a) Job Displacement: Automation through AI can lead to job losses in certain industries, potentially creating unemployment. (b) Bias and Fairness Concerns: AI systems may inherit biases present in training data, leading to unfair or discriminatory outcomes, especially in areas like hiring and decision-making. (c) Ethical Dilemmas: AI raises ethical concerns, such as the use of autonomous weapons, invasion of privacy, and the responsibility for AI-driven decisions. (d) Security Risks: AI systems can be vulnerable to cyber-attacks, and malicious use of AI poses risks such as deep fake technology for misinformation. (e) Lack of Creativity and Intuition: AI lacks true creativity and intuition, struggling with tasks that require a deep understanding of human emotions or abstract concepts. (f) High Initial Costs: Implementing AI systems can be expensive, limiting access to certain technologies, particularly for smaller businesses. (g) Data Privacy Issues: The collection and use of vast amounts of personal data for AI applications raise concerns about privacy and data security. (h) Dependency on Data Quality: The effectiveness of AI relies heavily on the quality and representativeness of training data, which can lead to biased outcomes if not appropriately addressed. (i) Complexity and Lack of Transparency: Some AI models, especially deep learning models, can be complex and challenging to interpret, leading to a lack of transparency in decision-making. (j) Human Interaction Challenges: Human-machine interaction can be challenging, especially in situations that require emotional intelligence and nuanced understanding. (k) Over-Reliance on Technology: Excessive dependence on AI may lead to a loss of critical skills and decision-making capabilities among humans. (l) Limited Understanding: AI lacks true comprehension and consciousness, often providing answers without a genuine understanding of the context. (m) Social Impact: The widespread use of AI may exacerbate social inequalities if access to AI technologies and benefits is not evenly distributed. (n) Regulatory Challenges: The rapid advancement of AI technology poses challenges for regulatory frameworks to keep pace and address potential risks adequately. Balancing the advantages of AI with these disadvantages requires careful consideration, ethical guidelines, and ongoing efforts to address emerging challenges.
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  • Pretentious humility is a concept that involves the outward display of modesty or humility, but with an underlying insincerity or pretense. It is characterized by individuals who feign humility in order to appear virtuous or morally superior to others. This behavior can be observed in various contexts, such as social interactions, professional environments, and even in public figures.

    One of the key characteristics of pretentious humility is the use of self-deprecation as a means of gaining attention or praise. Individuals who exhibit pretentious humility may downplay their own achievements or abilities in an attempt to elicit compliments or reassurance from others. This behavior is often driven by a desire for validation and approval, rather than a genuine sense of modesty.

    Another aspect of pretentious humility is the strategic use of language and behavior to create a facade of humility. This can manifest in subtle ways, such as using overly formal or self-effacing language to downplay one's accomplishments. By presenting oneself as humble and unassuming, individuals engaging in pretentious humility seek to cultivate a positive image and garner admiration from others.

    Pretentious humility can also be a tool for manipulation and control in social interactions. By appearing humble and unassuming, individuals may seek to disarm others and gain their trust more easily. This can be particularly effective in professional settings, where the appearance of humility can be seen as a sign of leadership or moral integrity.

    However, it is important to distinguish between genuine humility and pretentious humility. Genuine humility is characterized by a sincere recognition of one's own limitations and a modest attitude towards success and accomplishments. In contrast, pretentious humility is marked by an insincere display of modesty for the purpose of gaining admiration or advantage.

    In conclusion, pretentious humility is a complex social phenomenon that involves the outward display of modesty or humility with underlying insincerity or pretense. It can manifest in various forms and contexts, and is often driven by a desire for validation and approval from others. By understanding the dynamics of pretentious humility, we can better navigate social interactions and discern genuine humility from its counterfeit counterpart.

    #PretentiouHumility
    Pretentious humility is a concept that involves the outward display of modesty or humility, but with an underlying insincerity or pretense. It is characterized by individuals who feign humility in order to appear virtuous or morally superior to others. This behavior can be observed in various contexts, such as social interactions, professional environments, and even in public figures. One of the key characteristics of pretentious humility is the use of self-deprecation as a means of gaining attention or praise. Individuals who exhibit pretentious humility may downplay their own achievements or abilities in an attempt to elicit compliments or reassurance from others. This behavior is often driven by a desire for validation and approval, rather than a genuine sense of modesty. Another aspect of pretentious humility is the strategic use of language and behavior to create a facade of humility. This can manifest in subtle ways, such as using overly formal or self-effacing language to downplay one's accomplishments. By presenting oneself as humble and unassuming, individuals engaging in pretentious humility seek to cultivate a positive image and garner admiration from others. Pretentious humility can also be a tool for manipulation and control in social interactions. By appearing humble and unassuming, individuals may seek to disarm others and gain their trust more easily. This can be particularly effective in professional settings, where the appearance of humility can be seen as a sign of leadership or moral integrity. However, it is important to distinguish between genuine humility and pretentious humility. Genuine humility is characterized by a sincere recognition of one's own limitations and a modest attitude towards success and accomplishments. In contrast, pretentious humility is marked by an insincere display of modesty for the purpose of gaining admiration or advantage. In conclusion, pretentious humility is a complex social phenomenon that involves the outward display of modesty or humility with underlying insincerity or pretense. It can manifest in various forms and contexts, and is often driven by a desire for validation and approval from others. By understanding the dynamics of pretentious humility, we can better navigate social interactions and discern genuine humility from its counterfeit counterpart. #PretentiouHumility
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  • Still on the colour that represents Gada; #purple.

    It signifies creativity, extravagance, dignity, grandeur, independence, pride, peace, and mystery.

    #takingtheworldbysuprise
    #gada
    #purpleapp
    #samblog
    Still on the colour that represents Gada; #purple. It signifies creativity, extravagance, dignity, grandeur, independence, pride, peace, and mystery. #takingtheworldbysuprise #gada #purpleapp #samblog
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  • Egbetokun denies presenting two budget versions, says drama at national assembly unnecessary...
    #DailyQuestsAndNews
    #News
    Egbetokun denies presenting two budget versions, says drama at national assembly unnecessary... #DailyQuestsAndNews #News
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  • Suspected ‘Yahoo Boys’ Open Fire On EFCC Operatives, Kill One, Injure Another In Anambra State

    An officer was fatally shot, and another critically injured when suspected internet fraudsters, known as Yahoo Boys, opened fire on anti-graft operatives in Anambra on Friday.

    The operatives, who had traveled from their Enugu zonal headquarters, were on a mission to apprehend a cluster of suspected cybercriminals when they encountered deadly resistance. The attack occurred on Friday morning, leaving one officer dead on the spot and another hospitalized in critical condition by nightfall.

    A male suspect was arrested for the murder, but his identity remains undisclosed. Authorities have yet to confirm if he has legal representation.

    The incident comes amidst efforts by agency chairman Ola Olukoyede to strengthen protocols for raiding white-collar criminals, traditionally perceived as unarmed and easier to apprehend.

    The slain officer, whose name was withheld, was an assistant superintendent who had recently passed a promotional examination.

    The development has raised concerns among anti-graft personnel, who revealed that the agency’s life insurance scheme has been dormant for years.

    “We no longer have life insurance,” an officer told The Gazette under anonymity. “The last time families of deceased officers received compensation was during Farida Waziri’s tenure.”

    Another officer lamented, “The families of today’s victim will receive nothing. Can we say he died for nothing?”

    The attack highlights the escalating risks anti-graft operatives face as they combat increasingly armed and violent cybercriminals.

    Source: EONS Intelligence
    Suspected ‘Yahoo Boys’ Open Fire On EFCC Operatives, Kill One, Injure Another In Anambra State An officer was fatally shot, and another critically injured when suspected internet fraudsters, known as Yahoo Boys, opened fire on anti-graft operatives in Anambra on Friday. The operatives, who had traveled from their Enugu zonal headquarters, were on a mission to apprehend a cluster of suspected cybercriminals when they encountered deadly resistance. The attack occurred on Friday morning, leaving one officer dead on the spot and another hospitalized in critical condition by nightfall. A male suspect was arrested for the murder, but his identity remains undisclosed. Authorities have yet to confirm if he has legal representation. The incident comes amidst efforts by agency chairman Ola Olukoyede to strengthen protocols for raiding white-collar criminals, traditionally perceived as unarmed and easier to apprehend. The slain officer, whose name was withheld, was an assistant superintendent who had recently passed a promotional examination. The development has raised concerns among anti-graft personnel, who revealed that the agency’s life insurance scheme has been dormant for years. “We no longer have life insurance,” an officer told The Gazette under anonymity. “The last time families of deceased officers received compensation was during Farida Waziri’s tenure.” Another officer lamented, “The families of today’s victim will receive nothing. Can we say he died for nothing?” The attack highlights the escalating risks anti-graft operatives face as they combat increasingly armed and violent cybercriminals. Source: EONS Intelligence
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  • DEMERITS OR DISADVANTAGES OF ARTIFICIAL INTELLIGENCE

    The disadvantages of Artificial Intelligence (AI) include:
    (a) Job Displacement: Automation through AI can lead to job losses in certain industries, potentially creating unemployment.

    (b) Bias and Fairness Concerns: AI systems may inherit biases present in training data, leading to unfair or discriminatory outcomes, especially in areas like hiring and decision-making.

    (c) Ethical Dilemmas: AI raises ethical concerns, such as the use of autonomous weapons, invasion of privacy, and the responsibility for AI-driven decisions.

    (d) Security Risks: AI systems can be vulnerable to cyber-attacks, and malicious use of AI poses risks such as deep fake technology for misinformation.

    (e) Lack of Creativity and Intuition: AI lacks true creativity and intuition, struggling with tasks that require a deep understanding of human emotions or abstract concepts.

    (f) High Initial Costs: Implementing AI systems can be expensive, limiting access to certain technologies, particularly for smaller businesses.

    (g) Data Privacy Issues: The collection and use of vast amounts of personal data for AI applications raise concerns about privacy and data security.

    (h) Dependency on Data Quality: The effectiveness of AI relies heavily on the quality and representativeness of training data, which can lead to biased outcomes if not appropriately addressed.

    (i) Complexity and Lack of Transparency: Some AI models, especially deep learning models, can be complex and challenging to interpret, leading to a lack of transparency in decision-making.

    (j) Human Interaction Challenges: Human-machine interaction can be challenging, especially in situations that require emotional intelligence and nuanced understanding.

    (k) Over-Reliance on Technology: Excessive dependence on AI may lead to a loss of critical skills and decision-making capabilities among humans.

    (l) Limited Understanding: AI lacks true comprehension and consciousness, often providing answers without a genuine understanding of the context.

    (m) Social Impact: The widespread use of AI may exacerbate social inequalities if access to AI technologies and benefits is not evenly distributed.

    (n) Regulatory Challenges: The rapid advancement of AI technology poses challenges for regulatory frameworks to keep pace and address potential risks adequately.

    Balancing the advantages of AI with these disadvantages requires careful consideration, ethical guidelines, and ongoing efforts to address emerging challenges.
    DEMERITS OR DISADVANTAGES OF ARTIFICIAL INTELLIGENCE The disadvantages of Artificial Intelligence (AI) include: (a) Job Displacement: Automation through AI can lead to job losses in certain industries, potentially creating unemployment. (b) Bias and Fairness Concerns: AI systems may inherit biases present in training data, leading to unfair or discriminatory outcomes, especially in areas like hiring and decision-making. (c) Ethical Dilemmas: AI raises ethical concerns, such as the use of autonomous weapons, invasion of privacy, and the responsibility for AI-driven decisions. (d) Security Risks: AI systems can be vulnerable to cyber-attacks, and malicious use of AI poses risks such as deep fake technology for misinformation. (e) Lack of Creativity and Intuition: AI lacks true creativity and intuition, struggling with tasks that require a deep understanding of human emotions or abstract concepts. (f) High Initial Costs: Implementing AI systems can be expensive, limiting access to certain technologies, particularly for smaller businesses. (g) Data Privacy Issues: The collection and use of vast amounts of personal data for AI applications raise concerns about privacy and data security. (h) Dependency on Data Quality: The effectiveness of AI relies heavily on the quality and representativeness of training data, which can lead to biased outcomes if not appropriately addressed. (i) Complexity and Lack of Transparency: Some AI models, especially deep learning models, can be complex and challenging to interpret, leading to a lack of transparency in decision-making. (j) Human Interaction Challenges: Human-machine interaction can be challenging, especially in situations that require emotional intelligence and nuanced understanding. (k) Over-Reliance on Technology: Excessive dependence on AI may lead to a loss of critical skills and decision-making capabilities among humans. (l) Limited Understanding: AI lacks true comprehension and consciousness, often providing answers without a genuine understanding of the context. (m) Social Impact: The widespread use of AI may exacerbate social inequalities if access to AI technologies and benefits is not evenly distributed. (n) Regulatory Challenges: The rapid advancement of AI technology poses challenges for regulatory frameworks to keep pace and address potential risks adequately. Balancing the advantages of AI with these disadvantages requires careful consideration, ethical guidelines, and ongoing efforts to address emerging challenges.
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  • A couple was filing for a divorce in court, they both wanted to share the kids equally but unfortunately they had three children.

    WIFE: your honour, I will go with two kids while he goes with one, I'm their mother and my children will not grow without the presence of their mum

    Husband: No your honor, I'm the one who's going away with two kids while she goes with one, I'm their father and I have to be present for my children

    JUDGE: You both want to go away with two kids, what are we going to do now?

    Husband and his Wife step out of the boxes and start whispering into each other's ears.

    Few minutes later, they smile and say "Your honor, we've come to a conclusion, give us a year, we will come again with this matter. We want to make another kid so we'll be able to share the children equally"

    Nine months later, they were blessed with twins

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    🤣🤣🤣🤣🤣🤣🤣 A couple was filing for a divorce in court, they both wanted to share the kids equally but unfortunately they had three children. WIFE: your honour, I will go with two kids while he goes with one, I'm their mother and my children will not grow without the presence of their mum😏 Husband: No your honor, I'm the one who's going away with two kids while she goes with one, I'm their father and I have to be present for my children 😏 JUDGE: You both want to go away with two kids, what are we going to do now? Husband and his Wife step out of the boxes and start whispering into each other's ears. Few minutes later, they smile and say "Your honor, we've come to a conclusion, give us a year, we will come again with this matter. We want to make another kid so we'll be able to share the children equally" 🤭 Nine months later, they were blessed with twins 😂🙆‍♂️ Copied
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