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Machines are learning constantly. You should also have a continuous learning model at work

Being Human for a Better Tomorrow in the Age of AI

  • June 21, 2024
  • Edition 3
machines are learning constantly

In today’s age of artificial intelligence, machines are programmed to learn and adapt continuously from every interaction. Can we humans acquire knowledge, learn skills, and identify gaps from what we do and see every day at work?

Absolutely. Here’s a five-part personal continuous learning model anchored in time (today and tomorrow) specifically for building your own learning path:

Part 1: Learn from Current Events that Happen Every Day at Work

Your everyday actions, internal and external interactions, meetings, and reviews offer rich learning opportunities. Engage actively, reflect on outcomes, and apply lessons learned to improve continuously.

Part 2: Learn from Current Non-Events (Planned Events that Did Not Happen)

Understanding and analyzing situations that did not go as planned—such as delayed or lost orders, failed projects, or missed opportunities—can provide insights into potential pitfalls and areas for improvement.

Part 3: Learn for Future Events (Imagine New Skills and Knowledge)

Research, evaluate and engage on how technology is disrupting your role and function. Understand data, learn about statistics, correlation, AI and think about use cases that you will need to be part of in the medium term.

Part 4: Learn from Others (Formal Structured Programs, Certifications)

Supplement self-learning with investments in structured programs and courses. Demonstrate proof of capability in future skills. The Internet is a goldmine for learning if you have the aptitude and will.

Part 5: Learn from Your Passion and Hobbies

Success often comes down to core human values like aspiration, diligence, teamwork, and leadership, which are present amply in arts, literature, sports, science, religion, philosophy, history, and culture. These achievements and stories are transferable and can be a great source of inspiration to progress at work

Making Learning a Habit

  • Consistency is key. Here’s how to make learning a habit:
  • Accommodate your experiential learning style (feeling and watching, watching and thinking, doing and thinking, doing and feeling)
  • Keep a journal to capture thoughts, notes, actions, and plans.
  • Make time for monthly, quarterly, and annual self-reviews of your learning habits.

You are the asset, and learning is the investment you make to remain relevant and valuable. Living, learning, and growing is a great engine for life. Add good learning every day.

I hope these insights help.
Please subscribe, follow, share, and comment.

Best wishes

Select Quotes

"Several times in its life, a lobster casts off its shell. When the shell begins to inhibit the lobster’s growth and development, the lobster has no choice but to discard its old shell and grow a new one. It is the same with humans. And it offers an important lesson to leaders – in order to stay relevant, both for us and the people we lead, continuous learning is paramount."
― Merge Gupta-Sunderji
"Study hard what interests you the most in the most undisciplined, irreverent and original manner possible."
― Richard Feynman
"Think lightly of yourself and deeply of the world."
― Miyamoto Musashi
"The clear thinking comes from having time to reflect and to pursue your genuine intellectual curiosity."
― Naval Ravikant
"There is no end to education. It is not that you read a book, pass an examination, and finish with education. The whole of life, from the moment you are born to the moment you die, is a process of learning."
― Jiddu Krishnamurti

II. Questioning / Asking

Good conversations flow from well‑sequenced questions—topical, simple, coherent, cohesive.
LLM Conversation Example 1
Q: What are empirical judgments?

A: Empirical judgments are based on observation, experience, or experimentation.
Q: What are moral judgments?

A: Moral judgments are based on ethical principles and values.
“AI is a language. Treat it like one: practice, iterate, and mind your grammar prompts, assumptions, and verification.”
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