Human woman studying AI, as imagined by DAll-E, APRIL 2024

As someone who has always been fascinated by the latest technological advancements, I am drawn to the potential and challenges of artificial intelligence (AI). From the early days of the internet to the rise of social media, I’ve been adapting to each new wave of innovation. And now, as AI becomes more integrated into our daily lives, I am eager to understand and apply its capabilities.

One thing I’ve learned is the importance of seeing connections between seemingly disparate ideas, trends, and innovations. This skill has been invaluable with AI, allowing me to draw parallels between AI’s impact and my experience of earlier, game-changing tools.

My journey into AI didn’t start with a sudden eureka moment. Instead, it began with recognizing its potential to impact areas I care about most: education, social impact, and creative expression. With a mix of curiosity and caution, I decided to learn by doing and share my experiences along the way.

Learning to work with AI, as imagined by DAll-E, APRIL 2024

Several strategies helped me learn and grow as I navigated this new landscape. 

  • Dedicated time to using AI tools: I committed to regularly exploring and experimenting with various AI tools, setting aside focused time for hands-on learning. My favorite tools include paid ChatpGPT-4, Claude, and CoPilot.
  • Embraced failure: I learned to see failure as a natural part of the learning process and didn’t let setbacks discourage me from continuing to explore. 
  • I sought guidance from trusted sources. I sought insights from knowledgeable individuals and learned to distinguish between valuable and generic advice. Engaging in social sharing and theoretical discussions with peers proved incredibly constructive. Resources include OpenAI’s blog, Threads’ AI threads, and LinkedIn’s #AI hashtag.
  • Documented my work: I kept detailed records of my prompts, outcomes, and instructions, creating a personal knowledge base I could refer back to and build upon. Tools like Google Keep have been valuable for this purpose.
  • I immersed myself in the AI community. I scanned developer forums and research papers, learning from the experiences and discoveries of those at the forefront of the field. Some of my favorite communities include OpenAI’s community forum, r/MachineLearning, and Kaggle.
  • Maintained beginner’s mind: I approached each new AI experience with openness and curiosity. This mindset has been crucial in helping me navigate the rapidly changing AI landscape.
  • Consistently fact-checked AI outputs: AI is not always reliable. I always verify AI-generated information and do not use data I can not find or source.
  • Tried new things: I explored new AI tools and applications, like DALL-E, which I didn’t try until almost a year after I started using ChaptGPT. Embracing experimentation has been crucial to my growth.
  • Collaboration: Finding obsessed friends and colleagues–and making colleagues out of social media connections with this shared interest, has been great.
  • Shared knowledge with others: The best way to reinforce learning is to share it. Through blogging, coaching friends and colleagues, and being a resource for my community, I want to make AI accessible and valuable. 

AI sees itself as eyes in a screen, watching humans use it. DALL-E, 2024

Generative AI is here and will continue to integrate into all aspects of life. Helping others build their skills, engage with this new tool, and understand what it can do for them is a big part of my current purpose, as is continuing to improve my ability and understanding.

++++++++++++++

Invite to participate: AI Book Club: Ethan Mollick’s Co-Intelligence, May 2024

Ethan Mollick has just published Co-Intelligence, a book about his use of AI and its impact on work, innovation, education, and culture. Many of us have been following his work and are excited to read this book; if you are one of those people, this virtual book club or discussion is for you.   

Beth Kanter and I are both reading Mollick and are engaged with AI. We will co-facilitate a one-hour book club discussion for those reading or reading the book. We hope everyone participating will have read all or part of the book before the date.

The meeting will be held over Zoom and will last approximately one hour. Please review the form in the link and let us know what dates and times are best for you. We will use your input to select a time and then email everyone to let them know.

The form is here: https://forms.gle/qppBnd1fViz82KoH9. 

Fill it out to let us know your best times/dates for May!

As someone who has always been fascinated by the latest technological advancements, I am drawn to the potential and challenges of artificial intelligence (AI). From the early days of the internet to the rise of social media, I’ve been adapting to each new wave of innovation. And now, as AI becomes more integrated into our daily lives, I am eager to understand and apply its capabilities.

One thing I’ve learned is the importance of seeing connections between seemingly disparate ideas, trends, and innovations. This skill has been invaluable with AI, allowing me to draw parallels between AI’s impact and my experience of earlier, game-changing tools.

My journey into AI didn’t start with a sudden eureka moment. Instead, it began with recognizing its potential to impact areas I care about most: education, social impact, and creative expression. With a mix of curiosity and caution, I decided to learn by doing and share my experiences along the way.

Learning to work with AI, as imagined by DAll-E, APRIL 2024

Several strategies helped me learn and grow as I navigated this new landscape. 

  • Dedicated time to using AI tools: I committed to regularly exploring and experimenting with various AI tools, setting aside focused time for hands-on learning. My favorite tools include paid ChatpGPT-4, Claude, and CoPilot.
  • Embraced failure: I learned to see failure as a natural part of the learning process and didn’t let setbacks discourage me from continuing to explore. 
  • I sought guidance from trusted sources. I sought insights from knowledgeable individuals and learned to distinguish between valuable and generic advice. Engaging in social sharing and theoretical discussions with peers proved incredibly constructive. Resources include OpenAI’s blog, Threads’ AI threads, and LinkedIn’s #AI hashtag.
  • Documented my work: I kept detailed records of my prompts, outcomes, and instructions, creating a personal knowledge base I could refer back to and build upon. Tools like Google Keep have been valuable for this purpose.
  • I immersed myself in the AI community. I scanned developer forums and research papers, learning from the experiences and discoveries of those at the forefront of the field. Some of my favorite communities include OpenAI’s community forum, r/MachineLearning, and Kaggle.
  • Maintained beginner’s mind: I approached each new AI experience with openness and curiosity. This mindset has been crucial in helping me navigate the rapidly changing AI landscape.
  • Consistently fact-checked AI outputs: AI is not always reliable. I always verify AI-generated information and do not use data I can not find or source.
  • Tried new things: I explored new AI tools and applications, like DALL-E, which I didn’t try until almost a year after I started using ChaptGPT. Embracing experimentation has been crucial to my growth.
  • Collaboration: Finding obsessed friends and colleagues–and making colleagues out of social media connections with this shared interest, has been great.
  • Shared knowledge with others: The best way to reinforce learning is to share it. Through blogging, coaching friends and colleagues, and being a resource for my community, I want to make AI accessible and valuable. 

AI sees itself as eyes in a screen, watching humans use it. DALL-E, 2024

Generative AI is here and will continue to integrate into all aspects of life. Helping others build their skills, engage with this new tool, and understand what it can do for them is a big part of my current purpose, as is continuing to improve my ability and understanding.

++++++++++++++

Invite to participate: AI Book Club: Ethan Mollick’s Co-Intelligence, May 2024

Ethan Mollick has just published Co-Intelligence, a book about his use of AI and its impact on work, innovation, education, and culture. Many of us have been following his work and are excited to read this book; if you are one of those people, this virtual book club or discussion is for you.   

Beth Kanter and I are both reading Mollick and are engaged with AI. We will co-facilitate a one-hour book club discussion for those reading or reading the book. We hope everyone participating will have read all or part of the book before the date.

The meeting will be held over Zoom and will last approximately one hour. Please review the form in the link and let us know what dates and times are best for you. We will use your input to select a time and then email everyone to let them know.

The form is here: https://forms.gle/qppBnd1fViz82KoH9. 

Fill it out to let us know your best times/dates for May!