Category: Awakening

  • Fireside Chat: Geraldine Deruiter on Food, Feminism, and Fury

    In today’s episode, join me for a fascinating conversation with Geraldine Deruiter, James Beard award-winning author. You’ll discover her journey from a blogger to an acclaimed author, diving into her new book that intricately weaves food, feminism, and fury. You’ll benefit from Geraldine’s unique perspectives on the culinary industry, gender roles, and her viral culinary…

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  • You Ask, I Answer: Fixing Social Media?

    In today’s episode, Mike questions why social media can sometimes feel like a “dumpster fire.” You’ll explore the role of machine learning algorithms in shaping your social media experience, focusing on engagement metrics like likes, comments, and shares. Discover how your interactions with content dictate what you see more of on your feeds. Tune in…

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  • Mind Readings: Climate Change is Structural Inflation

    In today’s episode, we delve into the concept of structural inflation, specifically its connection to climate change. You’ll discover how systemic changes, like extreme weather patterns, can significantly impact businesses, leading to widespread inflationary effects. Learn how to anticipate and mitigate these challenges both as a consumer and a business owner. Tune in to gain…

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  • You Ask, I Answer: Is Art Made by AI Really Art?

    In today’s episode, Sira asks if art made by AI can truly be considered art. I tackle this complicated question by examining art as an expression of imagination, noting that perception of art is highly subjective. I discuss arguments around human versus machine creation, exploring the creative process behind AI art prompts. I also cover…

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  • You Ask, I Answer: Fairness and Mitigating Bias in AI?

    In today’s episode, I tackle the big question of mitigating bias in AI. I explain the differences between statistical bias and human bias, and equality of outcome versus opportunity. There are no easy answers, but understanding these concepts is key to documenting and implementing fairness policies for your models. Tune in for an in-depth look…

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  • Mind Readings: The Danger of Old Text in Generative AI

    In today’s episode, I address a critical aspect of training AI models—considerations regarding the content used for training. Many large language models have been built using content without proper permission, raising concerns about the appropriateness of the data. While using public domain content may seem like a solution, it often contains outdated or inappropriate ideas.…

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  • Mind Readings: The Greatest Trick Politics Played

    In today’s episode, I discuss how politics has played a trick on us by turning our political positions into our identities. This has led to a highly polarized society where people are less likely to listen to or even consider opposing viewpoints. I argue that the antidote to this problem is self-awareness and critical thinking.…

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  • You Ask, I Answer: Why Representation Matters?

    In a recent episode, Rene asks an important non-marketing question about representation. Christopher Penn explains that representation is about ensuring that diverse groups of people are given a spotlight, particularly in industries like entertainment. The importance of representation lies in the fact that humans mimic what they see and when they see someone who looks…

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  • Mind Readings: Be Ruthlessly Efficient With Your Time

    In today’s episode, we talked about being more efficient and ruthlessly efficient with your time. We discussed setting time boundaries and enforcing them, making use of small time slices throughout the day, and reducing the time spent on activities that don’t help you reach your goals. Lastly, we recommended being assertive with those who waste…

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  • My Three Words for 2023

    One of my favorite exercises that I’ve performed every year since he first introduced it is Chris Brogan’s Three Words. Rather than create resolutions which are difficult to keep, the three words exercise puts together three words that form your mantra for the coming year. My twist on it is to restrict it to just…

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