Your First Investment Should Be in This…
Yourself.

Skills > Degrees.
Knowledge > Trends.
Network > Net worth.

Personal growth = Financial growth!

#SmartMoneyMoves #SelfInvestment #WealthBuilding #MoneyWisdom

The Future is Now
Technology is advancing at lightning speed! From AI to blockchain, the world is changing daily. Are you keeping up with the trends?

#TechFrontier #AITech #Web3Vibes #Innovation #FutureReady

How to Escape the Paycheck-to-Paycheck Cycle Forever
Most people struggle because they:

Spend first, then try to save what’s left.
Have no emergency fund and rely on debt.
Live beyond their means to keep up with trends.

The way out?

✔ Save before spending - Automate your savings.
✔ Cut back & live below your means - Needs > Wants.
✔ Increase income - Side hustles, freelancing, investments.

Break the cycle today!

#FinancialFreedom #MoneyTips #SmartMoneyMoves #EscapeTheRatRace

“FORBIDDEN PLACES YOU CAN NEVER VISIT ON EARTH"

Thread photos

SVALBARD GLOBAL SEED VAULT, NORWAY

The Svalbard Global Seed Vault in Norway is sometimes referred to as "The Doomsday Vault," and is home to 100 million seeds from all over the world. It is built to outlast any natural disaster, and it is very high above above sea level.

NORTH BROTHER ISLAND, NEW YORK, USA

A ship sank and about 1,000 passengers took refuge on the island. It later became a hospital for people with contagious diseases, including Mary Mallon, aka Typhoid Mary. Mary was the first recorded patient to have typhoid fever, and she infected 50 other people, three of whom died. Today the island is abandoned, and it has become a bird sanctuary.

LASCAUX CAVES

France banned the public from entering the caves due to invasions that could be destructive to their preservation. The caves give insight into the history of the human species and contain over 600 examples of prehistoric art that date back about 20,000 years.

PLUTO’S GATE, TURKEY

Pluto's Gate, is a temple that was seen as a passage to the underworld. The legend said that no one could survive there, and a historian threw sparrows inside to test it, and they immediately died. In 1965, scientists confirmed this legend when they found that the CO2 levels were so high, and at night it got cold enough that it formed a lake on the bottom of the gate. Any living being could not survive more than a few seconds there.

COCA-COLA RECIPE VAULT, US

Coca-cola is an iconic drink known around the world, the recipe is one of America's greatest secrets. Trying to steal this formula would be nearly impossible with the complicated vault that has a hand scanner, armed guards, and a combination.

You really want to leave without following me You made it this far you might as well just follow me Jbc Junior Thanks

VATICAN SECRET ARCHIVES, VATICAN

The Vatican Secret Archives is under tight security because the archives contain documents that date as far back as the 8th century. The mysterious vault is located underground, and it has about 53 miles worth of shelves. No one is allowed

NORTH SENTINEL ISLAND, INDIA

The indigenes, known as the Sentinelese, reject any contact with the outside world. It is one of the few places that remain untouched by the outside world. In cases of invasion, the indigenes would k*ll anyone who comes near the island. the building is full of legends about ghosts and curses that are so scary. Those who have tried to break this rule mysteriously disappeared.

LAKE NATRON, TANZANIA

Lake Natron in Tanzania is a beautiful lake because it’s almost pink and it's home to matching pink flamingos, but people are not allowed to swim in Lake Natron because it has an unusually high alkaline content and a pH level of 10.5 which is the same as ammonia. To put it simply, Lake Natron will burn the skin off humans and most animals
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Make sure uu follow Follow for more interesting updates and stories

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BACK TO BACK CONTENTS THIS YEAR 2025

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THE DEBATE ABOUT TITHE (Part I)
By
Rev. Prof. John O. Enyinnaya

INTRODUCTION
A debate about tithing has raged in Nigeria's media for quite some time. Several people have canvassed positions that painted a negative view of the tithe and tithers. A pastor made a mistake by claiming that a person who does not pay tithe will not go to heaven (a claim he has retracted). Many antagonists of the tithe swung to the other side of the pendulum, tending to suggest that anyone who practices tithing is not a New Testament Christian.

Some people criticize the practice of tithing because they believe it is an Old Testament injunction not sustained in the New Testament. These have argued their positions by presenting the matter in the context of the debate about law and grace. However, most antagonists criticize tithing on considerations other than biblical or theological reasons.

Following the discussions, one observes that the key factors motivating the debate have nothing to do with what the Bible teaches. I intend to address the issue of tithing in three parts. Whereas it is essential to enquire about the biblical teachings about the tithe (I shall address that in part two), I wish to unmask the non-theological motivations behind the debate. In part three, I will try to enunciate the significance of the tithe and its place in the Christian’s discharge of their stewardship responsibilities towards God and his kingdom work.

REACTION AGAINST "COMMERCIAL" TENDENCIES OF SOME PASTORS
Many people I have heard criticizing the practice of tithing have not hidden their angst with pastors who, they claim, their teachings about tithing are motivated by the desire to enrich themselves. They argue that pastors profit through tithing at the expense of their poor members. Thus, the tithe of poor members ends up financing the lavish lifestyles of these pastors. While it is true that some pastors are guilty of unorthodox teachings and practices and even unconscionable extravagance, this is only true of a negligible, tiny minority of “pastors”.

Most Christians in Nigeria belong to the established churches whose members know that the money they give to their churches does not go to their pastor. In the established churches, the tithe is given to the church. The pastor only receives a salary based on these churches' approved standards and policies. So, no pastor of these churches can be accused of enriching himself with members’ tithe. I also know some of the newly founded churches that operate a similar system of transparency and accountability. For the members and pastors of such churches, therefore, the accusation that pastors unlawfully profit from members’ financial support for their churches clearly does not apply.

TENDENCY TOWARDS POLITICAL CORRECTNESS
The debate about the tithe has taken the shape of political correctness. It is no longer fashionable to speak in favour of the tithe. It is trendier to criticize the practice of tithing, so many people join the bandwagon. It is not strange these days to hear a pastor criticizing the practice of tithing and claiming that they no longer collect offerings in their churches as if that is an achievement. Such positioning comes from the needless desire to gain the crowd's applause and be seen to belong.

THE ALLURE OF SOCIAL MEDIA TRENDS
Closely related to the above is the desire of many people to join whatever is trending on social media. The social media has become a powerful influence on people’s opinions and beliefs. A perceptive observer will notice that many things that trend on social media are not products of critical and rigorous thinking. The social media frenzy resulting in the criticism of tithing and all kinds of giving to the church is one such trend lacking in rigorous thought and reflection.

CONCLUSION
The ongoing debate about tithe has been largely unsolicited because tithers are not complaining about tithing. It is mainly non-tithers that are emotionally invested in criticizing the practice and trolling anyone who speaks in favour of it, akin to taking paracetamol for another person’s headache. A person with any experience of giving to the Lord and receiving the blessings thereof will have no time for idle arguments that do not hold water.

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.

USEFUL CRYPTO NEWS

2,816,572,700,000 Shiba Inu Stun Largest Crypto Exchange in 24 Hours

Shiba Inu (SHIB), the dog-themed meme coin, has witnessed a massive transaction surge in the last 24 hours. Over 2.8 trillion SHIB tokens have been transacted on the leading cryptocurrency exchange, Binance. Available data shows that 2,816,572,700,000 SHIB has hit Binance in active trading.

SHIB whale activity and market implications
Analysts have attributed the bulk of these transactions to whale traders. Although the actual factors driving the activities of these whales have not been revealed, the move remains significant to the ecosystem.

Transacting such a staggering volume of SHIB tokens on Binance might suggest one of several possible scenarios. Primarily, the SHIB traders opened defined positions on Binance in line with general market trends. Notably, one of the reasons whales and retail traders move their tokens to crypto exchanges is to sell. However, they might also decide to trade or to stake. Meanwhile, the surge in SHIB interest in Binance could help stimulate price movement as SHIB has struggled to break critical resistance levels in the past 30 days. As of this writing, SHIB is trading slightly up by 1.48% at $0.00002189 in the past 24 hours. The trading volume on all exchanges beyond Binance has not registered significant movement, as it remains at $445.39 million, or up by 0.11%.

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.

Develop Your Skills
"Develop your skills and knowledge continuously. Stay up-to-date with industry trends and best practices to remain effective and competitive. #Leadership #DevelopYourSkills #Motivation"

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.

AI vs Machine Learning vs Deep Learning
"Not all AI is created equal! Let’s break down the key differences between AI, ML, and Deep Learning. #MachineLearning #DeepLearning #AITrendsNow"