Thursday, March 28, 2024

Using a GPT to get updates in topics of interest

About a month ago, I created a GPT based on ChatGPT 4.0.  It's easy to create but requires some fine-tuning.  I used Ross Dawson's approach detailed here:  Creating custom GPTs for news and Information Scanning; and I adjusted it to suit my own purpose.  The results have been mixed but I'm reasonably happy with what I got today. 

Wednesday, March 27, 2024

Critical Cognitive Capabilities in the Age of AI

In an era increasingly dominated by artificial intelligence (AI), our cognitive landscape is undergoing a transformation as significant as any in our history. This shift demands not just an adaptation but a deliberate enhancement of our cognitive capabilities. Amidst this technological evolution, the cultivation of critical thinking, emotional intelligence, creativity, and adaptive learning emerges as essential to thrive.


Combining pure human cognition and AI technology
Created by DALL.E, with human input.  A vision of a harmonious collaboration between humans and AI, showcasing human collective intelligence, creativity and innovation, augmented by the capabilities of technology, including AI. 

The story of Theuth and his invention of writing, as recounted by Socrates (see the previous post), provides a profound starting point for this discussion. Just as the introduction of writing raised concerns about memory and wisdom, today's rapid advancements in AI and the Internet pose new challenges and opportunities for human cognition. In this digital age, the capacity for ''critical thinking'' has never been more important. As we navigate vast oceans of information, discerning fact from fiction, valuable data from noise, requires a keen analytical mind. This skill ensures we remain effective decision-makers in both personal and professional realms, notwithstanding the deluge of AI-generated content and analysis.

Emotional intelligence stands out as a uniquely human attribute that AI is far from replicating. Our ability to understand, empathize, and interact with others is paramount, especially as AI technologies handle more cognitive tasks. Developing emotional intelligence helps us navigate the complexities of human relationships and teamwork, fostering environments where collaboration between humans and AI tools is productive and innovative.

Creativity is another domain where humans can excel beyond AI's capabilities. While AI can generate new patterns and ideas based on existing data, the human capacity to think abstractly, imagine the unimaginable, and connect disparate concepts in novel ways remains unmatched. Encouraging creativity in education and the workplace ensures that as AI takes over more routine or analytical tasks, humans will continue to lead in innovation, design, and artistic expression.

Lastly, the concept of adaptive learning is crucial. Just as AI systems learn and evolve based on new data, so too must we. However, our learning is not just about absorbing information; it's about adapting to new ways of thinking, new technologies, and changing societal norms. This ability to learn and relearn throughout life is what will keep us relevant and resilient in the face of rapid technological changes.

As we consider the future in this age of AI,  our focus should not only be on developing technical skills to use and manage AI systems. Instead, we must emphasize the uniquely human capabilities that will complement AI's growth. By nurturing critical thinking, emotional intelligence, creativity, and adaptive learning, we prepare ourselves not just to coexist with AI but to lead a future where technology enhances our human experience, not diminishes it.

Of related interest:

Tuesday, March 26, 2024

The Echoes of Theuth: From Writing to the Internet and AI

In Plato's "Phaedrus," Socrates recounts the tale of Theuth, the Egyptian god of writing, presenting his invention to King Thamus. This ancient narrative, exploring the invention's impact on memory and wisdom, mirrors the last couple of decades' discourse on the emergence of the Internet, and now, Artificial Intelligence.  This post's primary lens focuses on cognitive implications.  There are, of course, broader concerns the digital age and AI have introduced.


Theuth presenting his gift of writing to King Thamus


Revisiting Theuth in the Age of Information and AI

Theuth's claim that writing would enhance memory and wisdom was met with skepticism by Thamus, who argued it would instead weaken memory and give only an illusion of wisdom. This cautionary perspective finds its echo in the modern era, first with the Internet, and now more profoundly with AI. Both technologies, while distinct, share a common thread in their transformative impact on how we acquire, process, and value knowledge.

The Internet: A Precursor to AI's Cognitive Challenge

Before AI became a household term, the Internet had already begun reshaping our cognitive landscapes. Dubbed as an external "hard drive" for our collective memory, it introduced the "Google effect," where the ease of accessing information led to a potential decline in memory retention and effort in learning (See Nicholas Carr's book, The Shallows). The vast, accessible sea of data promised knowledge but often delivered a surface-level engagement with complex subjects, mirroring Socrates' concerns about the written word.

AI and Beyond: A Continuation of Digital Age Dilemmas

AI amplifies these concerns, offering unparalleled access to information and automating tasks with efficiency but at the potential cost of diminishing our cognitive faculties. The ''illusion of wisdom'', where individuals may overestimate their understanding due to the breadth of accessible information, becomes an even greater risk. As AI systems take on more roles that require analysis, decision-making, and even creativity, the question of what it means to truly know or understand something becomes increasingly pertinent.

Acknowledging the Spectrum of Concerns

While I focus here on cognitive effects, I also want to recognize that the challenges posed by AI and the Internet are multifaceted. Ethical dilemmas, privacy breaches, algorithmic biases, and the digital divide are significant issues that warrant attention. The societal impact of these technologies stretches beyond individual cognitive abilities, affecting our collective moral and social frameworks.

Charting a Thoughtful Path Forward

In navigating the future of AI and the digital landscape, a balanced, thoughtful approach is essential. By critically assessing the benefits and potential pitfalls, especially in how these technologies influence human cognition, we honor the Socratic tradition of deep questioning. This not only involves scrutinizing AI's capabilities and impacts but also reflecting on how the Internet has set the stage for today's digital challenges.

As we continue to integrate AI and digital technologies into our lives, let's maintain a critical eye towards their impact on our cognitive abilities and society. The story of Theuth, extending through the age of the Internet to the dawn of AI, serves as a valuable framework for understanding these challenges, encouraging us to ensure that technology enhances, rather than diminishes, our human experience.

----

I used AI to research and write this post.  To what extent did that contribute to a potential decline of my cognitive capabilities -- regardless of inevitable age-related decline?  To what extent did it enhance my knowledge, understanding, and cognitive capabilities?  How would I know?  What can I do to prevent cognitive decline related to technology use (or overuse) while leveraging technology to enhance my access to and use of knowledge?

Friday, March 22, 2024

The Evolution of Content Management: From Static Documents to Dynamic Collaboration

In the digital age, content management has become a cornerstone of knowledge work, enabling us to organize, access, and share information like never before. My journey through various tools and concepts in content management has illuminated a fundamental shift: from managing static documents to engaging in dynamic, collaborative content creation. This post explores this evolution through my experiences with TiddlyMap (starting almost 10 years ago), Learning Management Systems (LMS), Knowledge Graphs, and Microsoft Loop.

Discovering Transclusion in TiddlyMap

My exploration began with TiddlyMap, a tool that blurs the lines between notetaking and concept mapping. It's where I first encountered the concept of transclusion. This feature allows content from one Tiddler (note) to be included in another seamlessly, ensuring that updates are reflected universally. The result? A single source of truth within my personal knowledge base, facilitating a modular organization of content that is both efficient and consistent.  (See Transclusion in WikiText)

Key Takeaway: Transclusion in TiddlyMap showcased the power of interconnected content, highlighting the importance of maintaining consistency and efficiency in personal knowledge management.

Revisiting Reusable Objects in Learning Management Systems

My journey took me back to the concept of reusable objects in LMS, something I had encountered earlier. These digital resources can be utilized across various courses or modules, embodying the principle of modularity and reuse. This approach not only saves time and resources but also ensures consistency across the educational spectrum.

Key Takeaway: The practice of creating and using reusable objects in education underscores the need for content that is both flexible and adaptable, catering to diverse learning contexts and styles.

Connecting the Dots with Componentized Content

A recent webinar on Knowledge Graphs brought the term "componentized content" into sharper focus for me. This concept, akin to reusable objects, emphasizes breaking down content into manageable, standalone components that can be dynamically assembled. It resonated with my experiences, highlighting a broader trend toward agile and responsive content management systems that can evolve with our needs.(See Taking Content Personalization to the Next Level: Graphs and Componentized Content Management). 

Key Takeaway: Componentized content is at the heart of modern content management, reflecting a shift towards more agile, responsive, and interconnected systems that can support complex information ecosystems.

Experimenting with Microsoft Loop

My exploration culminated with Microsoft Loop, a tool that epitomizes the modern ethos of collaborative work. Loop's components are modular pieces of content that teams can collaboratively edit in real-time, streamlining the way we work together. This real-time collaboration, without duplicating content, signals a new era of efficiency and connectedness in teamwork.  (See Get to Know Loop Components)

Key Takeaway: Microsoft Loop represents the future of collaborative work, where dynamic, component-based content and real-time collaboration drive productivity and innovation.

Conclusion:

We're moving from static, siloed documents to a world where content is dynamic, interconnected, and collaborative. This evolution is not just technological but philosophical, changing how we think about knowledge, learning, and work.

These tools and concepts have reshaped my approach to content management, pushing me towards more flexible, efficient, and collaborative methods. They highlight a broader shift in our digital landscape, one that values modularity, reusability, and collaboration above all.  While my personal knowledge management tools re often a playground for learning, the biggest value may come from collaboration and ultimately,  the combination of people and tools to achieve augmented collective intelligence (ACI).

Final Thought:

Testing new tools is always fun (to me). They offer a glimpse into the future of content management—a future where knowledge is more accessible, collaboration is seamless, and learning is boundless. At the same time, it is worth reminding ourselves -- repeatedly -- that the tools are meant to enhance human capabilities.  Some will be more effective at enhancing individual capabilities, like TiddlyMap, while others are designed for collaboration and enhanced team or group capabilities. 

Next I have to think about the implications of this evolution for Knowledge Management and how we might need to rethink our knowledge management models and approach to knowledge assets.