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Top Tech Voices Podcast S2 E5: Work-Tech Life Balance

JoRatcliffe

It is time for Episode 5 of the Top Tech Voices podcast! This episode’s guest is Dr Anne-Laure Le Cunff: a neuroscientist and former Googler.

Tune in for an episode covering:

  • Why ‘pushing through’ and resilience culture can be toxic
  • How curiosity helps you learn and improve yourself in the long-term
  • The ‘plus minus next’ journaling system for self-improvement
  • How to use AI as a partner for thinking and feedback

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  • Using AI as a partner for thinking and feedback can be a transformative experience if approached with intention and personal engagement. Dr. Le Cunff highlights that AI really needs to be a conversation with AI and emphasizes the importance of first collecting your own data through reflective practices like journaling your thoughts and feelings. She explains that AI excels in seeing patterns in a lot of data which can enhance our self-reflection such as analyzing annual reviews or weekly reflections much faster than we could manually. However, she cautions that you can’t have AI do the job for you, stressing the vital role of human creativity and input. AI should augment that thinking, not replace it, acting as a thinking partner who helps uncover blind spots and develop deeper insights. On a personal level, this means cultivating a mindful dialogue with AI. We must feeding AI thoughtful information about our experiences and using its feedback to enrich our understanding and guide our next steps. By integrating AI thoughtfully, we create a feedback loop where our intuition and curiosity are sharpened making our decision-making and creative processes more insightful and nuanced.

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  • Using AI as a partner for thinking and feedback can be a transformative experience if approached with intention and personal engagement. Dr. Le Cunff highlights that AI really needs to be a conversation with AI and emphasizes the importance of first collecting your own data through reflective practices like journaling your thoughts and feelings. She explains that AI excels in seeing patterns in a lot of data which can enhance our self-reflection such as analyzing annual reviews or weekly reflections much faster than we could manually. However, she cautions that you can’t have AI do the job for you, stressing the vital role of human creativity and input. AI should augment that thinking, not replace it, acting as a thinking partner who helps uncover blind spots and develop deeper insights. On a personal level, this means cultivating a mindful dialogue with AI. We must feeding AI thoughtful information about our experiences and using its feedback to enrich our understanding and guide our next steps. By integrating AI thoughtfully, we create a feedback loop where our intuition and curiosity are sharpened making our decision-making and creative processes more insightful and nuanced.

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