adrian borowski

Adrian Borowski

About

In a world where every website fights for your attention and money,
this is not one of those websites.After years of building online presence for others, on June 15th 2024, I have decided to finally own a piece of this digital universe, without any real purpose.

Contact

Say hi.

Pick your thought process.

What is a Deep Generalist - And why should YOU become one?

As a child people use to call me names. One of them was the "stary malutki" which loosely translates into "an old soul" - "a tiny ancient" but in a derogatory way. I loved talking to much older people than me, and still do. I was a weird kid that had a hard time socializing. Before the internet, I would deep dive into the most obscure books- ideally with images, develop an obsession and try to live my life according to these new found principles like a brainwashed naïve kid. Bruce Lee, Leonardo DaVinci and Nikoa Tesla were my favorite. Friends tried to reform me, but I wouldn't conform. Later, I tried to stay at one job, focus on one thing at a time. But I was way too passionate about how the world really works. It took a few decades, to realize that instead of strengthening my weaknesses, I should leverage them, and I have made a pretty good living out of being a deep generalist.

I asked GROK, Elon Musk's ai:In an age of AI, why is it important to become a deep generalist?Answer:
In the age of AI, becoming a deep generalist is increasingly important for several compelling reasons:Adaptability in a Fast-Changing World:
AI-Driven Changes: AI technologies evolve rapidly, affecting nearly every industry. A deep generalist, with broad knowledge and the ability to dive deep into specific areas, can adapt more readily to new technologies, methodologies, or even entirely new fields of study or work.
Interdisciplinary Solutions: Many of the problems or opportunities presented by AI require solutions that draw from multiple disciplines. A deep generalist can connect dots across fields, fostering innovation where specialists might not see the connections.
Enhanced Problem-Solving:
Contextual Understanding: AI often operates within narrow domains or with specific data sets. A deep generalist can understand the broader context, nuances, and implications of AI applications, leading to more effective problem-solving or policy-making.
Synthesis of Knowledge: They can synthesize information from diverse areas, creating novel approaches or solutions that might not be apparent to those with narrower focus.
Leadership and Management:
Navigating Complexity: Leaders who are deep generalists can better manage teams composed of specialists, understanding enough of each discipline to guide, integrate, and leverage their expertise effectively.
Innovation Leadership: They are well-positioned to lead innovation efforts, as they can appreciate the potential of AI across various sectors and steer multidisciplinary teams towards groundbreaking achievements.
Ethical Considerations and Human-Centric Design:
Ethical Oversight: With the rise of AI, ethical considerations are paramount. Deep generalists can bring a holistic view to ethical debates, considering the societal, cultural, and individual impacts of AI technologies.
Designing for Humans: They can advocate for human-centric designs in AI, ensuring technology serves human needs, understands human behavior, and respects human values beyond just technical efficiency.
Future-Proofing Careers:
Versatility: In a job market where AI might automate certain specialized tasks, having a wide-ranging skill set makes one more employable, as they can pivot between roles or industries.
Continuous Learning: Deep generalists are inherently lifelong learners, which is crucial in an era where AI continuously shifts the knowledge landscape.
Communication and Collaboration:
Bridging Disciplines: They can act as translators between different fields, facilitating communication and collaboration in projects that require input from various experts, something increasingly common in AI-driven initiatives.
Public Engagement: They can better explain complex AI concepts to non-specialists, including policymakers, the public, and stakeholders, ensuring technology development aligns with societal needs and expectations.
Critical Thinking and Decision Making:
Beyond the Algorithm: While AI can process vast amounts of data, human judgment often involves intuition, ethics, and context that algorithms might miss. A deep generalist can critically evaluate AI outputs and decisions in light of broader implications.In summary, in an age where AI can handle specific, repetitive tasks with precision, the value of human insight, creativity, and broad understanding becomes even more pronounced. Deep generalists embody the versatility, foresight, and integrative thinking necessary to thrive in this new landscape, ensuring that technology development remains aligned with human values, societal benefits, and ethical standards.

Websites are dead.