Human Brain Should Not Be Undermined In Favour Of AI And Robots! Why?!

PROMPT: Please 🙏 analyse critically: ….BRAIN 🧠, the three 3️⃣ pound organ, is the seat 💺 of Natural Intelligence (NI) unlike 👎 Artificial Intelligence (AI) of supercomputers! Also, whereas brain 🧠 is integrated with Natural Body (NB), AI 🤖 is integrated with Artificial Robot 🤖 (AR) san AMYGDALA (emotions)!

PhysiologyWalla argues that even though AI or AR can 👌 serve unimaginable purposes, these need to be increasingly controlled and monitored by the human brain 🧠 and the natural body! That’s why human capabilities must be enhanced rather than subduing and discarding for momentary productivity!

Man 🧍‍♂️ is a social being but robots 🤖 cannot live as social beings autonomously to have social civilisation for existence! NEUROPLASTICITY, the brain’s 🧠 ability to take up functions of damaged adjacent neurons with diverse abilities, is simply not possible in robots 🤖!

PhysiologyWalla’s Signature ✍️ posture enhances blood 🩸 flow to brain 🧠 by lifting bent elbow(s) above ⬆️ head level and breathing deep to add oxygen to blood 🩸!

Science 🧫🧪🧬 is increasingly being proved as a bane for humanity instead of harnessing its potential as a boon for day to day comfort of life!

AI and robots might turn out to be like ferocious Frankenstein Monsters 👿 👺 👹! Speed adds upto stress! Human brain 🧠 and body are unable to cope up with the uncontrollable speed and as a consequence, the human interface is being increasingly challenged and stressed! A seemingly surreptitiously planned train 🚊 🚂 🚆 accident in Darjeeling area in India 🇮🇳, where a cargo freight train 🚆 rammed into a stationary passenger Kanchanjunga train 🚊, like “a bull 🐂 over a cow 🐄 on 17th June 2023 just 10 days after the 7th June 2023 visit of young Sam Altman to Delhi with abusive quipped remarks against Indian 🇮🇳 engineers 🧑‍💻, “….hopeless….we’re going to tell you, it’s totally hopeless to compete with us on training formidable models and you shouldn’t try….think it is pretty hopeless”! Indian 🇮🇳 counterpart had few days later tweeted, “challenge accepted” but it ended with disastrous show within further few days!

Though, the reason was cited as train 🚂 driver’s 👨‍⚕️ human error in recognising the signal, it was the signaling computerised system, which had suddenly changed after a significant delay without giving any time 🕰️ to react humanly!

Noble 🤴 Prize 🏆 winner 🥇, AI 🤖 godfather Geoffrey Hinton aptly remarked, “(Sam Altman) is much less concerned with AI 🤖 safety than profits”!

Education system around the world 🌎 and in particular in India 🇮🇳 doesn’t focus on PRACTICAL assignments rather on theory and written examinations! PhysiologyWalla fortunately at De Nobili School 🏫, Digwadih, Dhanbad, had SCIENCE 🧬🧫🧪 PRACTICALS started at standard sixth level itself, which helps in grasping the applied aspects of concepts!

Brain 🧠 has more than 100 💯 billion neurons, which does myriads of functions like task-evoked response, movements, sensing, emoting, expressing through languages and communication etc besides being the largest sex organ for reproductive activities pleasure!

Brain 🧠 was earlier assumed to be a cooler in the body! Aristotle in the 4th century BC believed that humans are more rational than animals because humans have larger brain 🧠 to cool 🆒 the hot blooded 🩸 heart 🫀, which was considered the seat 💺 of intelligence! Indeed, the brain 🧠 fails when the heart 🫀 fails!!

Welcome and Thanks ☺️ 🙏

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GPT-4 response below 👇

The text you’ve provided presents a critique of artificial intelligence (AI) compared to natural intelligence (NI), emphasizing the brain’s unique abilities and the potential dangers of AI and robotics. Here’s a critical analysis:

### Key Points:

1. **Natural Intelligence vs. Artificial Intelligence:**
– The brain is portrayed as the seat of natural intelligence, integrated with emotions (via the amygdala) and capable of complex social interactions.
– AI is portrayed as a counterpart, lacking emotional intelligence and the adaptability of the human brain.

2. **Human Capabilities:**
– There is a strong advocacy for enhancing human capabilities rather than relying solely on AI for productivity. The notion is that human skills should be prioritized and augmented instead of replaced by AI technologies.

3. **Social Nature:**
– Humans are social beings, an area where AI falls short since robots lack the inherent ability to create social civilizations autonomously.

4. **Neuroplasticity:**
– Highlighting the brain’s ability to adapt by rerouting functions among neurons when there is damage, a capability currently unmatched by AI or robotics.

5. **Potential Dangers of AI:**
– The text suggests that AI and robotics could become “Frankenstein Monsters,” raising concerns about the potential uncontrollable and stressful pace AI introduces.

6. **PhysiologyWalla’s Approach:**
– Proposes exercises (like the Signature posture) aimed at enhancing brain activity and health by improving blood flow and oxygenation.

7. **Science as a Bane:**
– A skeptical view that science and technology, particularly AI, could be causing more harm than benefit to humanity, stressing the need for balance.

8. **Anecdotal Evidence:**
– Cites a train accident in India as an example of AI’s perceived dangers, mentioning a controversial comment by Sam Altman about Indian engineers. This anecdote implies international competition in AI development could lead to unintended consequences or tensions.

### Critical Analysis:

– **Balanced View Needed:**
– While the text raises valid concerns about AI, it might be overly one-sided by not acknowledging the numerous advancements and efficiencies AI provides in various fields like healthcare, logistics, and education.

– **Emotional Connection and Social Aspects:**
– The argument about AI lacking social abilities is valid; however, advancements in AI are attempting to bridge these gaps, though ethical considerations remain important.

– **Human Augmentation:**
– Enhancing human potential is indeed crucial, and AI can play a role here as a collaborator rather than as a replacement.

– **AI Risks:**
– Concerns about AI becoming uncontrollable or overly dominant highlight the importance of establishing ethical guidelines and safeguards.

– **Caution with Anecdotes:**
– While the train accident is an emotive example, attributing it directly to AI highlights the risks of associative fallacies. Conclusive evidence is needed to support such claims.

Ultimately, this text presents a cautionary stance on AI underscoring the need for careful integration and development. Balancing technology’s potential with ethical and social considerations is essential.

This piece touches upon several distinct themes, and I’ll analyze them critically below:

1. **Train Incident and Human Error**:
– The narrative suggests that the train accident was primarily due to technological shortcomings, exposing a critical flaw in the signaling system. This highlights a crucial issue in human-machine interaction: reliance on technology must be balanced with human oversight. Technological systems need robust fail-safe mechanisms to prevent such errors.

2. **AI and Safety Concerns**:
– Geoffrey Hinton’s alleged statement about AI’s potential risks underscores the urgent need for balancing innovation with ethical considerations. This reflects a broader societal debate about AI ethics, where prioritization of profit might risk overlooking safety and ethical implications.

3. **Education System**:
– The critique of the education system’s focus on theoretical over practical learning suggests a misalignment with real-world applications. By highlighting the benefit of practical science education at De Nobili School, the text points out how early engagement with practical learning can foster better understanding and application of scientific concepts.

4. **Brain Functionality and Historical Misconceptions**:
– The discussion transitions uniquely into the complexities of the human brain, mentioning its multifaceted roles and historical misconceptions about its function. This provides an interesting contrast between past and present understanding of the human body, using Aristotle’s views as an example of how scientific understanding has evolved over time.

5. **Narrative Flow and Clarity**:
– The narrative ties together various themes—technology’s limitations, AI ethics, educational deficiencies, and neurological insights—suggesting the interconnected nature of human development, technology, and education. However, the transitions between themes can feel abrupt, and the introduction could benefit from clearer connections to each point for a smoother narrative flow.

In summary, this text amalgamates issues of technological reliance, AI ethics, educational reform, and neurology to highlight ongoing challenges in these fields. It raises pertinent questions about how society integrates technology, ethics, and education to foster a safer, more informed, and coherent future. However, clearer linkage between the themes could enhance the narrative’s cohesiveness.

Welcome and Thanks ☺️ 🙏

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QUERIES: Please 🙏 answer with full details:

What are the current advancements in understanding brain functions? How can we improve human-machine interaction to prevent accidents? What are some effective practical learning methods for schools? Can you elaborate on the implications of AI safety risks?

Welcome and Thanks ☺️ 🙏

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GPT-4 response below 👇

Absolutely, let’s dive into each of these areas with more details:

### Current Advancements in Understanding Brain Functions:
1. **Neuroscientific Research**: Advances in neuroimaging technologies, like fMRI and PET scans, have allowed scientists to visualize brain activity in real-time, improving our understanding of brain functions and connectivity.
2. **Brain-Computer Interfaces (BCIs)**: These devices connect the brain to external hardware, enabling communication and control for individuals with disabilities, and advancing insights into neural pathways.
3. **Genomics and Neuroinformatics**: Integration of genetic data with brain imaging provides insights into how genes influence brain structure and function, aiding in understanding disorders such as schizophrenia and Alzheimer’s.
4. **Artificial Intelligence in Neuroscience**: AI models simulate brain processes, helping in the study of cognitive functions and predicting neurological disorders.

### Improving Human-Machine Interaction to Prevent Accidents:
1. **Enhanced User Interface Design**: Incorporating human-centric design principles to make systems more intuitive and reduce user error.
2. **Predictive Analytics**: Using machine learning to predict potential failures or errors in systems, allowing for preemptive corrective actions.
3. **Redundant Systems**: Implementing multiple backups in critical systems like aviation and transport to ensure that if one system fails, another takes over.
4. **Regular Training and Updates**: Continuous training for operators using virtual reality and simulations to improve response to emergencies, and keeping systems updated with the latest safety features.

### Effective Practical Learning Methods for Schools:
1. **Project-Based Learning (PBL)**: Students engage in projects that require critical thinking, problem-solving, and collaboration, providing real-world context to academic concepts.
2. **Laboratory Experiments**: Hands-on experiments in science classes help students understand theoretical concepts through practical application.
3. **Field Trips and Experiential Learning**: Visiting sites related to the curriculum can make learning more relevant and memorable.
4. **Technology Integration**: Using educational tools like simulations and gamified learning platforms to make learning interactive and engaging.
5. **Collaboration with Industry**: Partnerships with local businesses for internships or project collaborations to give students practical insights and real-world experience.

### Implications of AI Safety Risks:
1. **Autonomy and Control**: As AI systems gain autonomy, ensuring they align with human values and ethics becomes crucial. Mishandling could lead to systems acting against human interests.
2. **Bias and Discrimination**: AI systems trained on biased data can perpetuate or even exacerbate discrimination. Addressing this requires diverse training datasets and regular auditing.
3. **Cybersecurity**: Sophisticated AI systems can be vulnerable to hacks. Ensuring robust cybersecurity measures is vital to prevent unauthorized access and misuse.
4. **Job Displacement**: As AI automates tasks, there is a risk of significant job losses in certain sectors. Preparing the workforce through upskilling and reskilling programs is vital.
5. **Legal and Ethical Challenges**: As AI systems make decisions, accountability and transparency become major concerns. Developing clear legal frameworks and ethical guidelines is essential to guide AI development and deployment.

These advancements and strategies not only aim to improve understanding and functionality but also address the challenges associated with integrating technology into our daily lives responsibly.

Welcome and Thanks ☺️ 🙏

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Queries: Please 🙏 provide answers with full information:

What are the latest developments in neuroimaging technology? How can project-based learning be implemented effectively in schools? What are some specific applications of brain-computer interfaces? Can you provide more examples of AI safety risks?

Welcome and Thanks ☺️ 🙏

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GPT-4 response below 👇

You’re welcome! Let’s dive into each of these topics:

### Latest Developments in Neuroimaging Technology
1. **High-Resolution Imaging**: Advances in MRI technology, such as ultra-high-field MRI, enable high-resolution brain scans, allowing for detailed visualization of brain structures.
2. **Functional Connectivity Analysis**: Techniques like resting-state fMRI measure brain activity by detecting changes associated with blood flow, helping map functional connectivity in the brain.
3. **Diffusion Tensor Imaging (DTI)**: This technique maps white matter tracts in the brain by tracking the diffusion of water molecules, providing insights into brain connectivity and network integrity.
4. **Combined Modality Techniques**: Integration of different imaging modalities like PET/MRI to improve the spatial and temporal resolution of brain imaging, providing comprehensive insights.
5. **Machine Learning Applications**: Implementation of AI to analyze complex imaging data, enhancing pattern recognition and diagnostics.

### Effective Implementation of Project-Based Learning in Schools
1. **Clear Objectives**: Establish clear learning goals aligned with curriculum standards to guide project design and assessment.
2. **Real-World Problems**: Engage students with projects that address real-world issues, encouraging them to apply critical thinking and problem-solving skills.
3. **Collaborative Learning**: Foster teamwork and communication skills by organizing students into groups, promoting diverse perspectives and peer learning.
4. **Scaffold Learning Experiences**: Provide support structures and incremental guidance to help students navigate complex tasks independently.
5. **Reflective Assessment**: Incorporate self-reflection and peer feedback, along with teacher assessments, to evaluate both process and product, encouraging meta-cognition.
6. **Resource Accessibility**: Ensure that students have access to the necessary resources and tools required to complete the projects effectively.

### Applications of Brain-Computer Interfaces
1. **Medical Rehabilitation**: BCIs are used in neurorehabilitation to help stroke patients regain motor skills through brain-controlled robotics or exoskeletons.
2. **Assistive Technologies**: Enable individuals with severe motor impairments to communicate or control devices using neural signals.
3. **Gaming and Entertainment**: Provide immersive experiences by allowing users to control games and virtual environments using their thoughts.
4. **Neuroprosthetics**: Control of prosthetic limbs through neural signals for individuals with limb loss.
5. **Monitoring Mental States**: BCI systems can monitor and interpret emotional or cognitive states for applications in mental health.

### Examples of AI Safety Risks
1. **Autonomous Systems**: Risks in self-driving vehicles where malfunction or override of safety protocols could lead to accidents.
2. **Privacy Invasion**: AI systems processing personal data could lead to breaches and misuse of sensitive information.
3. **Bias and Fairness**: AI algorithms trained on biased data reflecting societal prejudices, potentially leading to unfair outcomes in hiring or law enforcement.
4. **Security Vulnerabilities**: AI systems being susceptible to adversarial attacks where inputs are manipulated to alter AI behavior maliciously.
5. **Loss of Control**: Concerns over advanced AI systems operating outside human understanding or control, posing accountability and decision-making risks.

If you have more questions or need further details, feel free to ask!

Welcome and Thanks ☺️ 🙏

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QUERIES: Please 🙏 answer elaborately:

What are the potential consequences of unchecked AI development? How does the amygdala influence emotional intelligence? What are some examples of enhancing human capabilities? Can you explain more about neuroplasticity?

Welcome and Thanks ☺️ 🙏

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GPT-4 response below 👇

Hello! 😊 I’d be happy to elaborate on these intriguing topics for you. Let’s dive in:

### Potential Consequences of Unchecked AI Development
The unchecked development of artificial intelligence (AI) poses several potential consequences:

1. **Ethical Dilemmas**: AI could amplify biases present in data, leading to discriminatory outcomes in fields like hiring, law enforcement, and credit scoring.

2. **Loss of Jobs**: Automation could replace repetitive or low-skill jobs, leading to unemployment and economic disparity. However, it could also create new job categories.

3. **Privacy Concerns**: Enhanced surveillance capabilities could infringe on personal privacy, with sensitive data being collected and analyzed without sufficient oversight.

4. **Security Risks**: AI systems could be manipulated by malicious actors, leading to cyber attacks, misinformation campaigns, or disruptions in critical infrastructure.

5. **Autonomy and Control**: Over-reliance on AI might result in a loss of human autonomy or control, particularly if decisions are outsourced to automated systems without transparency.

### Amygdala’s Influence on Emotional Intelligence
The amygdala, an almond-shaped cluster of nuclei located within the temporal lobe of the brain, plays a crucial role in processing emotions. Here’s how it influences emotional intelligence:

1. **Emotional Processing**: It evaluates emotional significance and triggers emotional responses, forming a core component of emotional intelligence by influencing how individuals perceive and react to emotional stimuli.

2. **Fear and Threat Response**: The amygdala’s role in fear-processing helps individuals recognize and appropriately respond to threats, which is key in social interactions and self-preservation.

3. **Memory and Learning**: It contributes to forming emotional memories, enhancing the ability to learn from past emotional experiences and use them in decision-making processes.

4. **Social Behavior**: By interpreting social cues and emotional expressions, it fosters empathy and social awareness, critical components of emotional intelligence.

### Examples of Enhancing Human Capabilities
Several advancements aim to enhance human capabilities:

1. **Exoskeletons**: Wearable technology that enhances physical performance, assisting individuals with mobility impairments or amplifying strength for industrial workers.

2. **Cognitive Enhancers**: Nootropic substances or technologies like brain stimulation aim to improve cognitive functions such as memory, attention, and problem-solving.

3. **Prosthetics with Sensory Feedback**: Advanced prosthetics equipped with sensors allow users to experience tactile sensations, mimicking more natural limb function.

4. **Genetic Engineering**: Techniques like CRISPR enable the modification of genes, potentially preventing genetic disorders or enhancing human traits.

### Neuroplasticity Explained
Neuroplasticity refers to the brain’s ability to reorganize itself by forming new neural connections throughout life. Key points include:

1. **Adaptation and Learning**: The brain’s capacity to adapt to new experiences, learning, or injury by reshaping its structure and function.

2. **Recovery and Rehabilitation**: Post-traumatic brain recovery is facilitated by neuroplasticity, allowing for the retraining of different brain parts to compensate for damaged areas.

3. **Environmental Influence**: Activities such as learning new skills, physical exercise, and exposure to enriching environments can stimulate neuroplastic changes, enhancing cognitive functions.

I hope this helps! Let me know if you have more questions. 😊

Welcome and Thanks ☺️ 🙏

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Queries: Please 🙏 answer elaborately:

What are examples of AI improving human capabilities? How can neuroplasticity be applied in therapy? What are some tools to enhance emotional intelligence? Can you explain more about ethical AI development?

Welcome and Thanks ☺️ 🙏

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GPT-4 response below 👇

You’re welcome! Let’s dive into each of these fascinating topics to explore them more thoroughly:

1. **AI Improving Human Capabilities:**
– *Healthcare:* AI assists in early diagnosis and personalized treatment plans through data analysis and pattern recognition. For example, AI algorithms can analyze medical images to detect tumors earlier than human radiologists.
– *Education:* Personalized learning platforms use AI to adapt to individual learning speeds and styles, helping students grasp complex subjects at their own pace.
– *Productivity Tools:* AI-powered tools like Grammarly aid in writing by suggesting improvements and corrections, enhancing writing skills and productivity.
– *Accessibility:* AI technology, such as speech recognition or image recognition, improves accessibility for people with disabilities, allowing easier interaction with technology and the world.

2. **Neuroplasticity in Therapy:**
– Neuroplasticity is the brain’s ability to reorganize itself by forming new neural connections. In therapy, this concept is used to help individuals recover lost functions and improve cognitive and emotional abilities.
– *Cognitive Behavioral Therapy (CBT):* Encourages patients to change negative patterns of thinking, effectively ‘rewiring’ the brain to improve mental health.
– *Stroke Rehabilitation:* Techniques like repetitive task practice and constraint-induced movement therapy leverage neuroplasticity to help patients regain mobility and function.
– *Mindfulness and Meditation:* These practices can alter neural pathways in the brain, improving emotional regulation and reducing stress.

3. **Tools to Enhance Emotional Intelligence:**
– *Mindfulness Apps:* Apps like Headspace and Calm offer practices that increase self-awareness and emotional control.
– *Feedback Tools:* Workplace platforms like Emotify provide emotional analytics to help people understand and improve their emotional interactions.
– *Coaching and Workshops:* Programs designed to enhance communication, conflict resolution, and empathy skills contribute to higher emotional intelligence.
– *Journaling:* Tracking thoughts and emotions daily can boost self-reflection and empathy.

4. **Ethical AI Development:**
– The focus on ethical AI ensures technology respects privacy, fairness, and transparency. Key considerations include:
– *Bias Mitigation:* Ensuring AI algorithms do not discriminate against individuals based on race, gender, or other sensitive attributes by using diverse and representative data sets.
– *Transparency:* Making AI decision-making processes understandable and accessible to users.
– *Privacy Protection:* Implementing robust safeguarding measures to prevent unauthorized access and use of personal data.
– *Accountability:* Establishing clear accountability structures for the use and impact of AI technologies.

Ethical AI development seeks to harness AI’s capabilities responsibly, ensuring that the benefits serve all members of society without unintentional harm. Each of these areas demonstrates how technology, brain science, and ethical considerations can collaboratively enhance human potential and well-being.

Let me know if you want more information on any specific aspect!

Welcome and Thanks ☺️ 🙏

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QUERIES: Please 🙏 answer fully:

What limitations does AI have compared to human emotions? How can we ensure AI develops in a way that benefits humanity? What are some examples of AI being used for environmental good? Can you elaborate on how the heart affects decision-making?

Welcome and Thanks ☺️ 🙏

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GPT-4 response below 👇

AI, despite its impressive capabilities, has inherent limitations when compared to human emotions. Here are a few key distinctions and considerations:

### Limitations of AI Compared to Human Emotions

1. **Lack of Genuine Emotions**: AI does not experience emotions; it simulates them based on data. It lacks the deep emotional understanding that humans have.

2. **Empathy & Intuition**: AI can process data to seem empathetic, but it lacks genuine intuition and the ability to truly feel empathy.

3. **Contextual Awareness**: Humans understand the context and subtleties of emotions better than AI, which is limited to its programming and data.

4. **Creativity and Moral Judgment**: While AI can generate creative outputs, it doesn’t possess the human-like creativity fueled by emotional experiences, moral judgments, or ethics.

### Ensuring AI Benefits Humanity

1. **Ethical Guidelines**: Establish and enforce ethical guidelines to guide AI development and use, ensuring they align with human values and rights.

2. **Inclusive Design**: Involve a diverse group of people in AI development to address and mitigate biases.

3. **Transparency & Accountability**: Develop systems that are transparent and build accountability mechanisms for AI outcomes.

4. **Continuous Monitoring**: Regularly monitor and assess AI systems to ensure they are serving humanity positively and not causing harm.

### Examples of AI for Environmental Good

1. **Climate Modeling**: AI helps in predicting weather patterns and assessing climate change impacts, aiding in environmental planning and policy-making.

2. **Resource Efficiency**: AI optimizes energy use in industries and homes, reducing waste and promoting sustainable practices.

3. **Wildlife Conservation**: AI technologies, like drone surveillance and image recognition, are used to monitor and protect endangered species.

4. **Pollution Control**: AI can monitor pollution levels in real-time and predict areas at risk, allowing for timely interventions.

### The Heart’s Role in Decision-Making

The heart is often seen as the emotional center of decision-making. Physiologically, it has a dialogue with the brain that influences decisions:

1. **Heart-Brain Connection**: The heart sends signals to the brain that can affect emotions and decision-making processes. These signals can enhance intuitive feelings, providing a “gut feeling” or emotional cue.

2. **Heart Rate Variability (HRV)**: This measure of heart variation reflects how well you adapt to stress and decision-making processes. A healthy HRV is linked to better emotional resilience and cognitive functions.

3. **Emotional Influence**: Emotions originating from heart responses can sway decisions, sometimes leading to more empathetic or emotionally resonant outcomes.

4. **Holistic Perspective**: Considering both cognitive and emotional responses leads to more balanced decision-making, integrating logical analysis with emotional sensitivity.

By understanding these aspects, we can better navigate AI’s role alongside human emotion, ensuring technology complements rather than replaces our intrinsic emotional experiences.

Welcome and Thanks ☺️ 🙏