Originally posted on Dev3loper.ai
Welcome to Dev3loper.ai's Bookshelf, where we dive deep into the books shaping our understanding of technology, AI, and innovation. The "Bookshelf" series provides insightful reviews and reflections on seminal books that explore the intersection of technology, creativity, and society.
As someone deeply involved in AI and software development, I understand the importance of staying informed about our field's latest trends and scholarly work. This series aims to do just that, offering a blend of book reviews and personal insights from my professional experiences.
To kick off the Bookshelf series, we'll be reviewing "Co-Intelligence: Living and Working with AI" by Ethan Mollick. This book comprehensively explores AI's current state and future potential in both personal and professional realms. Ethan Mollick's approach aligns perfectly with my interests and professional focus, making it an ideal choice for our first review.
As a Staff Engineer at Artium and the founder of Dev3loper.ai, I've spent years working at the frontier of AI and technology. The thrilling advancements and the ethical dilemmas of AI development have shaped my journey. Reading "Co-Intelligence" was particularly enlightening because it mirrored many of my experiences with AI—from the excitement of frontier models to the critical ethical considerations.
In this review, I'll explore several key themes from the book that stood out to me:
Human-AI Collaboration: The book delves into collaboration models between humans and AI, epitomized by concepts like centaurs and cyborgs. These models reflect my own experiences integrating AI tools into development projects. I've seen firsthand how blending human creativity with AI capabilities can produce remarkable results.
Exploring the Jagged Frontier: Another fascinating concept Mollick introduces is the "jagged frontier" of AI capabilities. This idea perfectly captures AI's evolving strengths and limitations, which I encounter daily. Understanding where AI excels and where human oversight remains essential is crucial for anyone working in this field.
Ethical Considerations and AI's Future: The ethical challenges and future directions of AI development are areas I navigate through various projects. Ensuring our AI systems are designed and deployed responsibly is a top priority. Mollick's insights into these issues are timely and profoundly relevant.
You can expect a blend of detailed book reviews and personal insights in this series. Each post will offer a unique perspective, combining scholarly analysis with real-world experiences. My goal is to create a resource that informs and sparks meaningful discussions about the future of technology and its impact on our lives.
So, let's dive into the first book in our series and explore how Ethan Mollick navigates artificial intelligence's thrilling and complex landscape. Join me as we unpack the insights, explore the challenges, and celebrate the innovations presented in this pivotal work.
Human-AI Collaboration: Centaurs and Cyborgs
One of the fascinating topics in "Co-Intelligence: Living and Working with AI" is the concept of human-AI collaboration, primarily through models known as centaurs and cyborgs. These ideas offer a fresh perspective on blending human intuition and creativity with AI's computational power to achieve remarkable outcomes.
Let's Talk About the Centaur Model
So what's a centaur? Imagine a seamless partnership where humans and AI divide tasks based on who does what best. In this setup, humans keep Control and make decisions while AI handles specific, well-defined tasks. For example, Mollick describes how AI-assisted medical diagnostics work—AI crunches the numbers and identifies potential health issues. Still, the human doctor interprets these findings and considers the patient's history before making a final decision.
In my experience at Artium, this centaur model is quite effective. We often use AI tools for pair programming. The AI manages routine coding and error-checking while our developers concentrate on complex problem-solving and creative work. Integrating an AI-driven code assistant into a project recently streamlined our workflow and drastically reduced our development time, enabling us to meet tight deadlines without sacrificing quality.
The centaur model boosts productivity and fosters a collaborative environment where human creativity and AI's computational prowess coexist. Human oversight remains essential, ensuring we make informed decisions based on AI's suggestions.
Diving Into the Cyborg Model
Now, the cyborg model takes things a step further. Here, AI doesn't just assist; it becomes an integral part of the workflow, continuously enhancing human capabilities. Mollick presents compelling examples in fields like architecture and the creative arts. In these scenarios, AI tools provide real-time feedback, generate design alternatives, and even draft entire designs, which humans then refine.
At Dev3loper.ai, I've embraced this cyborg model in various projects. Integrating AI isn't just about assistance but pushing the jagged frontier of what's possible with AI across almost all tasks. I leverage AI assistants in coding and use them throughout the Software Development Life Cycle (SDLC) for agile development. For instance, AI helps me increase my knowledge base by making a "Definition of the Day" for alternative investments for my current client. Additionally, tools like Otter.ai summarize meetings efficiently, and I've started using Vizard.ai to edit videos.
This deep integration has transformed my work, enabling me to handle more tasks more effectively. AI's seamless augmentation of human efforts in the cyborg model can transform industries, pushing the boundaries of what we can achieve. However, leveraging AI effectively also requires continual learning and adaptation.
The Ups and Downs of These Models
Why They Work:
- Enhanced Efficiency: Delegating repetitive and time-consuming tasks to AI frees humans to focus on higher-order thinking and creativity.
- Improved Decision-Making: AI's ability to process and analyze large datasets offers invaluable insights.
- Innovation Boost: The blend of human intuition and AI's analytical prowess fosters innovation.
For example, using Otter.ai to summarize meetings has allowed me to focus on strategic decision-making instead of note-taking. Vizard.ai's video editing capabilities save hours of manual work, enabling more creative and polished outputs.
Challenges Along the Way:
- Ethical Considerations: Ensuring that AI operates ethically and without bias is crucial.
- Dependency Risks: Over-reliance might reduce human critical thinking skills.
- Data Quality: AI's effectiveness hinges on the quality and diversity of its training data.
Navigating these challenges requires a balanced approach. We can mitigate these risks by maintaining human oversight and improving AI systems. Industry standards and ethical guidelines can also guide us.
Looking Forward
Mollick's vision for the future of human-AI collaboration is optimistic and grounded. He sees centaur and cyborg models becoming commonplace across industries, driving innovation and efficiency. These models could redefine how we approach problems and design healthcare and the arts solutions.
I share Mollick's optimism. Moving forward, I'm excited about expanding these collaboration models in my work at Dev3loper.ai. Projects are increasingly incorporating AI not just to assist but also to co-create with human teams. This trend will likely accelerate, making it essential for professionals to embrace AI and continuously evolve their methodologies.
Key Takeaways
The centaur and cyborg models present transformative approaches to integrating AI into various facets of work. Leveraging AI's strengths while maintaining essential human oversight creates an environment where innovation and efficiency can thrive.
Tips for Getting Started:
- Embrace AI Tools: Start integrating AI into your workflow, focusing on tasks that AI excels at.
- Keep Control: Ensure human oversight is always present to validate AI outputs and make critical decisions.
- Stay Updated: Learn about AI advancements and adapt your strategies accordingly.
Understanding and implementing these models can harness AI's full potential while staying grounded in human values and judgment. As we progress in this series, I'm excited to explore more facets of AI with you, sharing insights and experiences along the way.
AI Capabilities, Limitations, and Potential
Artificial Intelligence has evolved from a theoretical concept into an integral element of daily routines. The book delves into AI's various capabilities, highlighting its ability to understand and generate human language, perform complex data analysis, and create artistic content. Advanced language models like ChatGPT and GPT-4 exemplify these advancements, showcasing their prowess in drafting essays, generating code, and simulating engaging human conversations.
Language Processing and Generation
One of AI's most notable capabilities is its proficiency in processing and generating human language. The transformational shift began in 2017 when Google introduced the transformer architecture. By leveraging an attention mechanism, transformers concentrate on the most relevant parts of the input, allowing AI models to generate coherent and contextually appropriate responses.
This capability is particularly evident at Dev3loper.ai. We use AI models for various tasks—coding, document generation, and more. AI tools have significantly boosted our productivity by helping debug and optimize code. Recently, we integrated AI into our software development life cycle for agile development, using it to generate user stories and acceptance criteria. This integration has streamlined our workflow and made us more efficient.
Predictive and Analytical Power
AI's ability to analyze vast datasets to identify patterns and make predictions is another game-changer. The book highlights how companies like Amazon use AI to enhance their supply chain operations, from forecasting demand to organizing shelves efficiently.
Similarly, I employ AI to increase my knowledge base, particularly in generating detailed "Definition of the Day" segments for clients. Tools like Otter.ai have been indispensable in summarizing meeting notes, freeing time for more strategic tasks. Additionally, I've begun exploring Vizard.ai for video editing, which has proven the versatility and utility of AI across various domains.
Creative and Innovative Potential
AI's creative abilities are astonishing. Whether writing poems or generating digital artwork, AI can match—and sometimes surpass—human creativity. The book illustrates this with several examples of AI excelling in creativity tests, suggesting AI's potential in imagination and innovative thinking.
At Dev3loper.ai, we extensively leverage AI's creative potential. AI-driven assistants play a crucial role in brainstorming and generating marketing slogans. These tools offer a fresh perspective, enabling us to craft stand-out campaigns. Using Vizard.ai for video editing has saved countless hours, efficiently delivering polished and professional results.
The Dual Nature of AI Creativity
While AI's creative outputs are impressive, they bring forth ethical dilemmas concerning originality and intellectual property. Mollick addresses the complexities of AI-generated content, highlighting the risks of mimicry in human work and the potential for ethical breaches like plagiarism. Ethical AI development is vital. Establishing frameworks that safeguard originality and address the ownership of AI-generated content is essential. In my projects, ensuring that AI tools operate ethically and transparently is a top priority.
Strategic Use of AI in Work and Beyond
Mollick convincingly argues that AI has the potential to enhance productivity and augment or even replace human thinking. The book provides compelling examples of AI leading to substantial productivity improvements. This aligns with my experience at Dev3loper.ai, where AI has significantly enhanced our coding and project management efficiency. However, staying updated with AI advancements and continuous learning is crucial to remain relevant in this fast-evolving landscape.
Ethical Considerations in AI Development
Ethics in AI development are vital, serving as the bedrock for creating beneficial and fair technology. Key pillars of ethical AI include fairness, privacy, and transparency—all essential to ensuring that AI enhances humanity while safeguarding against potential misuse and harm.
Fairness in AI Development
Fairness in AI is not inherent; it requires deliberate and ongoing effort. AI systems must be developed with an acute awareness of biases that can inadvertently shape their outputs. This means employing diversified training datasets, rigorous testing, and constant vigilance to identify and correct biases.
At Dev3loper.ai, we prioritize diversity in our data sources and employ stringent fairness checks when deploying AI solutions. This ensures that our AI models serve all users equitably, preventing the reinforcement of existing disparities. Addressing fairness head-on helps bridge the digital divide, ensuring that AI technologies benefit diverse users rather than reinforcing existing inequalities.
Privacy and Data Security
Protecting privacy is paramount, mainly as AI systems handle increasingly sensitive personal data. Robust measures must be implemented to protect this data and comply with privacy regulations. At Dev3loper.ai, we employ industry-leading practices such as encryption, regular security audits, and transparent data usage policies. This commitment ensures that user information remains confidential and secure.
Using tools like Otter.ai for meeting summaries and Vizard.ai for video editing, I ensure that any data processed stays confidential and secure. This isn't just about compliance; it's about maintaining our clients' and users' trust and confidence. Ensuring that AI does not overstep ethical boundaries in data usage is critical, especially given recent controversies surrounding using data from copyrighted sources for training models.
Transparency in AI Systems
Transparency in AI is crucial for accountability and building public trust. Users must understand how AI decisions are made, particularly in high-stakes domains like healthcare, finance, and law enforcement. Providing detailed documentation and clear explanations of AI processes demystifies the technology and fosters trust.
At Dev3loper.ai, explainability is a core feature of our AI models. This means our AI systems deliver results and provide clear rationales for their decisions. By doing so, we ensure that our technology is robust and accountable.
Responsible Use and Regulation
Promoting ethical AI development requires the collective efforts of developers, policymakers, researchers, and the public. Governments need to enact sensible regulations that protect citizens while allowing for innovation. The Biden administration has begun setting guidelines for AI management, but a global effort is necessary to create unified standards and norms that reflect diverse societal values.
Continuous education and public engagement are also essential. Informing the public about AI's capabilities and limitations empowers individuals to advocate for responsible AI development. This collective effort will help navigate the ethical landscape of AI effectively.
Real World Impact: Addressing Bias and Training Ethics
A pressing issue in AI development is using data from potentially copyrighted sources without permission. The legal and ethical challenges of training AI on such data are significant. Regions vary in regulations; for example, the European Union is stringent about data protection, while Japan allows more latitude in AI training.
One critical aspect is sourcing data from licensed or owned sets. Dev3loper.ai ensures that all data used for training models is sourced from licensed or owned sets, aligning with our commitment to ethical AI practices and protecting creators' intellectual property rights. This approach adheres to legal standards and promotes fair and responsible AI development.
The Societal Impact of AI
Artificial Intelligence is reshaping various aspects of our society, bringing incredible opportunities and significant challenges. From transforming job markets to revolutionizing education and healthcare, AI's impact is wide-ranging and profound.
AI's Influence on Employment
AI is undeniably transforming the job market. On one hand, AI can enhance productivity and create new opportunities; on the other hand, it presents challenges such as potential job displacement. As AI systems become more adept at handling complex tasks, fields involving repetitive or data-driven tasks are particularly affected.
At Dev3loper.ai, I've seen firsthand how AI applications can streamline the software development lifecycle (SDLC). By automating routine programming tasks—from code generation to debugging—AI allows us to focus on higher-level strategic decisions and creative problem-solving. This dual nature of AI in transforming job roles emphasizes the continued need for human oversight and higher-order thinking, even as machines take over more mundane tasks.
Transforming Education
Education is another sector where AI shows tremendous potential. The concept of flipped classrooms, enhanced by AI tutors, is gaining traction. This model maximizes classroom time for active learning while using AI to provide personalized instruction outside the classroom. Imagine students working with AI tutors that adapt to their learning pace and style, offering tailored exercises and feedback.
In my professional journey, AI has been a powerful tool for continuous learning and development. For instance, I use AI to generate daily definitions for alternative investments for a client, ensuring that the learning materials are always up-to-date and relevant. This personalized, AI-driven approach can significantly enhance educational settings by catering to individual learning needs and fostering a deeper understanding of complex subjects.
AI in Healthcare
The healthcare sector stands to benefit immensely from AI. AI can assist in diagnostics, predictive analytics, and personalized treatment plans. By analyzing vast datasets, AI can identify patterns invisible to the human eye, leading to earlier diagnoses and more effective treatments.
For example, AI tools are being used to predict patient outcomes and detect anomalies in medical imaging that human practitioners might miss. These advancements can lead to more accurate diagnoses and better patient care. At Dev3loper.ai, I envision similar transformative impacts of AI in any industry where data-driven decision-making is crucial.
Ensuring Accessibility and Avoiding Bias
Inclusivity and accessibility are critical considerations in AI design. AI systems must be developed to be inclusive and accessible, avoiding biases that can perpetuate discrimination. Techniques like fine-tuning with human feedback can help improve model accuracy and fairness. However, these systems must be continually monitored and updated to address emerging issues.
In practice, I ensure that the AI solutions deployed at Dev3loper.ai undergo continuous testing and refinement to avoid biases and inaccuracies. This commitment to ethical AI development is essential to harnessing AI's potential while minimizing risks. Ethical development practices uphold fairness and build trust with users and stakeholders.
AI's impact on society is vast and multifaceted, spanning employment, education, healthcare, and more. While AI presents incredible opportunities to enhance productivity and improve quality of life, it also brings significant challenges that must be addressed through thoughtful and ethical development practices. Embracing AI as a tool for augmentation rather than replacement can help us navigate this transformative journey effectively.
AI Creativity and Innovation
Artificial Intelligence doesn't just replicate human tasks; it also drives creativity and innovation in unimaginable ways. This section delves into how AI transforms creative fields, providing practical applications and personal insights to illustrate its potential.
Transformative Potential of AI-Driven Creativity
AI's ability to generate creative ideas is nothing short of revolutionary. From art to engineering, AI tools offer new perspectives and solutions. For example, AI can create hundreds of unique ideas for a single problem in minutes, far outpacing human capabilities. This rapid ideation process is crucial for industries where time and innovation are paramount.
At Dev3loper.ai, I've experimented with AI to push the jagged frontier of creativity. Using AI assistants has allowed me to generate innovative business ideas and streamline programming tasks, ultimately enhancing productivity and creativity. These tools can also analyze vast datasets to identify patterns and suggest improvements, fostering a more creative and efficient workflow.
Practical Applications: AI in the Arts
AI's impact on the arts is particularly fascinating. Artists and designers use AI to create complex artworks that blend human creativity with machine precision. Tools like DeepArt, DALL-E, and MidJourney transform how artists conceptualize and produce their work. This fusion of AI and human creativity often produces original and thought-provoking pieces.
A personal favorite project of mine involves using generative AI to create visual art and design prototypes. By leveraging tools like DALL-E and MidJourney, I've produced unique artworks that would have been incredibly time-consuming to develop manually. This experience has underscored AI's role as an influential creative collaborator.
Enhancing Human Creativity
AI's role isn't just about creating in isolation but also augmenting human creativity. AI can handle repetitive tasks, allowing human creatives to focus on more complex and nuanced aspects of their work. This collaboration enhances the overall creative process, leading to more innovative outcomes.
I often rely on AI to handle tedious coding tasks in software development, freeing time to focus on architectural and design decisions requiring a human touch. This hybrid approach accelerates development and ensures a higher quality of work.
Ethical Considerations and Challenges
While AI's creative potential is vast, it raises important ethical questions. One critical aspect is sourcing data from licensed or owned sets to avoid copyright infringement. Recent controversies have highlighted instances where AI models were trained on copyrighted material without permission, raising legal and ethical concerns. Navigating these challenges responsibly ensures that AI development respects intellectual property rights.
Additionally, it is vital to make AI tools equally accessible to open-source communities and individuals. Democratizing access ensures that AI's benefits are widely distributed and not confined to large corporations with significant resources.
Real-World Impact and Future Directions
The real-world impact of AI-driven creativity is profound. AI enhances productivity, drives innovation, and transforms traditional workflows in many industries. For example, companies like OpenAI and Google are leading the way in developing cutting-edge AI tools that push the boundaries of what's possible.
Looking ahead, the future of AI in creative fields promises even more exciting developments. As AI technology evolves, its applications will become increasingly sophisticated and integrated into everyday creative processes. This evolution will require ethical scrutiny and a commitment to responsible AI development.
By embracing AI as a collaborator, we can unlock new levels of creative potential and ensure that the next wave of innovation is ethical and inclusive. AI's role in driving creativity and innovation is both transformative and essential, promising a future where human ingenuity and machine intelligence work hand-in-hand to achieve extraordinary results.
Future Speculations and Scenarios for AI
When we think about the future of artificial intelligence, many potential scenarios come to mind. Each path AI could take offers unique opportunities and challenges, shaping our world differently. Let's speculate on a few possibilities and explore how they might influence our lives and work.
Steady Progress and Industry Adaptation
One likely scenario is that AI continues to advance steadily along a linear path. AI improvements are gradual but consistent in this world, giving industries, workforces, and societies more time to adapt. This steady progress allows us to integrate AI into various facets of life without causing significant disruptions.
For example, at Dev3loper.ai, we've seen how incremental updates to AI tools we use for coding and data analysis continuously improve efficiency. These slow but steady advancements foster a stable environment where innovation progresses methodically. We can integrate new tech smoothly, enhancing our workflows without the upheaval of more rapid changes.
Exponential Growth and Rapid Transformations
Now, imagine a different path where AI's growth is exponential. Here, advancements come quickly and dramatically, leading to rapid, transformative changes across the healthcare, education, and finance sectors. Picture AI making significant breakthroughs in personalized medicine or autonomous systems almost overnight.
If AI starts evolving at an accelerating rate, navigating these rapid changes will require agility and foresight. The benefits could be immense, but so could the risks. At Dev3loper.ai, we're always exploring new AI capabilities to stay ahead of the curve and harness these advancements responsibly. Fast-paced growth demands technological agility and robust ethical frameworks to manage unforeseen consequences.
The Dawn of General Intelligence
Then there's the tantalizing yet speculative possibility of Artificial General Intelligence (AGI)—AI systems with human-like cognitive abilities. AGI could revolutionize every aspect of life, from solving complex global problems to transforming daily tasks. This leap from narrow to general intelligence could unlock unprecedented potential.
However, AGI brings its own set of challenges and ethical concerns. It's a delicate balance between excitement for its possibilities and caution about its risks. Ensuring AGI aligns with human values will require unprecedented international cooperation and stringent ethical guidelines. The potential benefits are enormous, but so is the responsibility to get it right.
Navigating Ethical and Regulatory Waters
As AI technology advances, it's crucial to address the ethical and regulatory challenges that come with it. Rapid growth in AI capabilities will necessitate solid regulatory frameworks and international collaboration to ensure ethical practices and prevent misuse. Transparency in regulatory processes will help build public trust and mitigate associated risks.
At Dev3loper.ai, ethical AI development is at the core of our work. We prioritize transparency and responsibility in all our projects, understanding that current trends in AI regulation will influence future policies. Developing and adhering to ethical guidelines as AI evolves is not just a necessity but a commitment to ensuring technology benefits everyone.
Shaping the Future Job Market
Another critical aspect of AI's future is its integration into the job market. Advanced AI will undoubtedly reshape the workforce, creating new job roles while transforming existing ones. While some jobs may become obsolete, AI will generate new opportunities, especially in fields requiring innovative thinking and problem-solving skills.
The future of employment will value adaptability and continuous learning. Skills related to AI literacy, data analysis, and ethical AI practices will be in high demand. At Dev3loper.ai, we're focused on upskilling our team to prepare for these future demands, ensuring we remain competitive and adaptable in an AI-driven world.
Envisioning the Future
Considering these potential futures, it's clear that AI's trajectory offers both exciting opportunities and significant challenges. Whether AI advances steadily or grows exponentially, our ability to manage its development responsibly will be essential. By preparing for these possibilities, we can harness AI's transformative power while ensuring it aligns with human values and serves the greater good.
The future of AI is a landscape of boundless possibilities. As we forge ahead, our commitment to ethical and innovative development will guide us toward a future where AI enhances and enriches our lives.
Conclusion and Final Reflections
As we wrap up our exploration of "Co-Intelligence: Living and Working with AI," let's take a moment to reflect on the key insights we've delved into and how they relate to our broader understanding of AI's role in our world.
Recap of Key Insights
Our journey through the book began with an in-depth look at human-AI collaboration, specifically the centaur and cyborg models. These models illustrate how humans and AI can work together to achieve remarkable outcomes, blending human creativity and intuition with AI's computational power. We've seen how these collaborative approaches can enhance productivity but come with challenges, such as maintaining human oversight and addressing ethical concerns.
We also explored AI's capabilities and limitations. AI's strengths in language processing, predictive analytics, and creative potential are impressive but also raise important ethical questions. Fairness, privacy protection, and transparency are crucial for responsible AI development—principles we hold dear at Dev3loper.ai.
Another central theme was AI's societal impact. AI's influence on employment, education, and healthcare is profound. It can potentially revolutionize these sectors, making processes more efficient and personalized. However, to maximize AI's benefits across different demographics, it's essential to ensure accessibility and avoid biases.
Looking to the future, we speculated on various AI advancement scenarios. Whether AI's growth will be steady or exponential, the importance of ethical and regulatory frameworks cannot be overstated. These frameworks will help guide AI development, ensuring it aligns with human values and serves the greater good.
Personal Reflections
Reflecting on my experiences at Dev3loper.ai, I see strong parallels with this book's insights. Projects that leverage AI for coding, continuous learning, and creative tasks have underscored AI's transformative potential. Milestones in these projects echo the themes discussed, affirming the importance of ethical AI development.
Our commitment to developing ethical AI solutions is unwavering. At Dev3loper.ai, we prioritize transparency, responsibility, and inclusivity in all our projects. These principles guide our work and shape future projects, ensuring we harness AI's potential while upholding ethical standards.
Importance of Staying Informed
Continuous learning is vital in the rapidly evolving field of AI. Staying updated with the latest advancements and ethical guidelines helps us navigate new challenges and opportunities. Engaging with the AI community through conferences, workshops, and forums allows us to share knowledge and best practices, fostering a culture of collaboration and innovation.
For those deeply involved in AI, it's more than just technology—it's about being part of a community shaping the future. We can contribute to responsible AI development by staying informed and engaged, ensuring it benefits everyone.
Final Thoughts
Looking ahead, I'm optimistic about AI's future. The potential for AI to enhance human capabilities and address societal challenges is immense. As we continue on this journey, it's crucial to approach AI with curiosity, responsibility, and a commitment to ethical development.
To our readers, I encourage you to explore AI with an open mind and a critical eye. Embrace the opportunities it presents, but remain vigilant about the ethical implications. Stay informed, stay engaged, and together, let's harness the transformative power of AI for the greater good.
Thank you for joining me in exploring "Co-Intelligence: Living and Working with AI." I invite you to follow the "Bookshelf" series for more insights and discussions on AI and technology. There's so much more to discover, and I look forward to sharing this journey with you.
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