In Episode 32, Strategic Planning in Prompting: Elevating AI Collaboration, Jonathan Kyle Hobson takes inspiration from the world of strategic product research and Danielle Green’s insightful session at the Portland Design Thinkers event. This episode applies it to the field of AI prompting. Just as product research requires careful planning, guiding AI interactions through structured strategic frameworks can yield more effective and aligned results. This episode is about developing an intentional approach to your AI prompts, ensuring they are designed to meet specific goals, uncover insights, and deliver actionable outcomes.

Listeners will learn how to:

•Define Clear Objectives: Set measurable goals for each AI interaction, much like defining product goals in strategic research.

•Use Prompting Frameworks: Leverage Danielle Green’s framework of Needs, People, and Values. Strategic focused prompts that guide AI responses toward desired outcomes.

•Iterate and Refine: Develop a mindset of iteration, improving AI outputs through strategic prompt refinement, just like a continuous improvement cycle in product research.

•Align with Larger Goals: Understand how strategic prompting can align with broader business or personal objectives, ensuring AI interactions deliver value beyond just answers.

By treating each AI interaction as part of a larger strategic plan, you can unlock more meaningful results, foster innovation, and streamline decision-making processes—whether you’re using AI for content creation, research, or product development. This episode is packed with actionable strategies to help you elevate your AI collaboration to a more strategic, impactful level.

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In Episode 31, Zero-Value AI Systems: Ethics, Bias, and Human Values, Jonathan Kyle Hobson unpacks the compelling concept of zero-value AI systems—artificial intelligence systems that have no inherent values of their own, but instead reflect the values embedded in their training data and design. This episode challenges the notion that AI is purely neutral and explores how the data and frameworks used to train AI systems can magnify societal values, ethical perspectives, and biases.

Listeners will explore key questions:

• What does it mean for an AI system to be "zero-value"?
• How do AI systems mirror and amplify human biases and cultural values?
• What ethical implications arise from AI reflecting the cumulative norms of its developers and data sources?

Hobson delves into the ethical paradox of designing AI systems: how to balance reflecting broad societal values while avoiding bias amplification. This episode explores the risks of echo chambers, where AI systems reinforce user-specific values without exposure to diverse perspectives, as well as the need for AI systems to be adaptable to future societal changes.

Using frameworks like the Introspective Value Alignment Matrix, co-created by Hobson and Anthony Lerwick, this episode provides a path for listeners to reflect on their own values and how they influence AI interactions. This episode is a must-listen for AI professionals, UX designers, and anyone interested in the ethical challenges of AI development and deployment.

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In Episode 30, Mastering Reasoning Models: AI and Human Cognition, Jonathan Kyle Hobson explores the intricate world of reasoning models—structured thought processes designed to solve complex problems—and how both AI and humans use them. As artificial intelligence systems evolve, understanding and implementing these models are critical to improving decision-making, creative problem-solving, and logical reasoning.

This episode highlights key reasoning models such as:

• Chain of Thought (CoT): A step-by-step linear approach that enhances AI’s ability to reason logically.
• Tree of Thought (ToT): A branching method for exploring multiple pathways to a solution simultaneously.
• Scratchpad Reasoning: Using visual or schematic reasoning to break down complex problems into understandable parts.
• Decomposed Prompting: Breaking large tasks into smaller, manageable components for AI to handle effectively.
• Narrative and Analogical Reasoning: Using storytelling and analogies to make sense of events and improve AI interaction.

Jonathan provides real-world examples, such as developing a strategic content plan for Brew Bliss using these models, demonstrating how they can enhance both human and AI decision-making. Listeners will learn how to integrate reasoning frameworks into their AI interactions, making them more efficient and creative, and how these models influence various fields, from UX design to data analysis.

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In Episode 29, Exploring the Boundaries: Consciousness, AI, and the Future of Mind, Jonathan Kyle Hobson takes a deep dive into one of the most intriguing and debated topics in artificial intelligence: consciousness. Can AI systems ever truly become self-aware? And if so, what does that mean for the future of human interaction with machines?

Join Jonathan as he explores the current scientific and philosophical theories around machine consciousness. From David Chalmers' "Hard Problem of Consciousness" to Anil Seth’s insights into human awareness, this episode unpacks the complexities of consciousness and how it might manifest in AI. We’ll examine the biological roots of human consciousness, the computational models that mimic brain functions, and whether AI might ever cross the line into true self-awareness.

This thought-provoking episode challenges listeners to consider the potential for AI systems to experience something akin to consciousness, and what that would mean for society, ethics, and the future of technology. Whether you're a philosopher, a technologist, or someone curious about the mind, this episode offers profound insights into the evolving relationship between AI and human cognition.

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In this special bonus episode of Merging Tech with Soul, Jonathan Kyle Hobson delivers the latest AI News from October 10th to October 16th, 2024. Stay updated on the most exciting developments in the AI world, from new safety protocols to advancements in video generation and autonomous vehicles.

Key highlights include:

• Anthropic’s Responsible Scaling Policy: AI safety takes a front seat with new protocols for AI development, including 'Capability' and 'Required' Thresholds designed to minimize risk as AI systems become more advanced. The creation of the Responsible Scaling Officer role is a key step toward ensuring the responsible development of AI technologies.
• Adobe's Firefly Video Model: Unveiled at the Max Conference, this powerful new AI tool allows users to generate video content from text prompts and images, incorporating 2D and 3D animations and cinematic effects. It’s trained on Adobe Stock for a "commercially safe" approach to AI-driven content creation.
• Anthropic’s Vision for AI in 2026: CEO Dario Amodei predicts a future where AI smarter than Nobel Prize winners could lead to breakthroughs in curing diseases and increasing human life expectancy. While Amodei acknowledges the risks of job displacement, he emphasizes the potential for AI to strengthen democracy and drive economic growth.
• Tesla’s Robotaxi and Robovan: Elon Musk announced Tesla's fully autonomous Robotaxi, priced under $30,000, which operates without a steering wheel or pedals. Tesla also introduced the Robovan and teased the upcoming Optimus humanoid robot, signaling a potential revolution in the transportation industry.
• Writer’s Palmyra X 004: This new Language Model from Writer has set a new benchmark in the enterprise AI space, outperforming competitors from OpenAI and Meta on Berkeley's Tool Calling Leaderboard. Capable of interacting with external tools and handling multimodal inputs, Palmyra X 004 is a game-changer for enterprise AI capabilities.

Stay tuned as we break down these developments and explore what they mean for the future of AI and human-technology interaction.

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In Episode 20, Bias in AI: Hidden Patterns and Their Impact, Jonathan Kyle Hobson continues his deep dive into the world of cognitive biases, this time focusing on how these biases not only shape human thinking but also influence AI systems. Building on the insights from Episode 19, this episode unpacks how biases—such as anchoring, Dunning-Kruger, curse of knowledge, and the framing effect—can subtly creep into AI models, affecting their outputs in profound ways.

Listeners will explore the mechanics of these cognitive shortcuts and how they manifest in AI, despite the perception that machines are objective. Hobson takes us through real-world examples, showing how AI systems inherit human biases through data and decision-making processes, leading to skewed results in areas like recommendation algorithms, search engines, and even healthcare systems.

But it’s not all doom and gloom—this episode also dives into solutions, including adversarial training and other techniques that can help detect and mitigate bias in AI, ensuring a more equitable and fair use of technology in the future. With AI playing an increasingly vital role in decision-making across industries, understanding and addressing these biases is critical to creating systems that are both intelligent and just.

Join us as we navigate the complexities of AI bias and explore how awareness and action can help build a better, more inclusive technological future.

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In Episode 18, The Poetry of AI: Imagination Meets Technology, Jonathan Kyle Hobson embarks on a profound journey through the intersection of AI, creativity, and human consciousness. This episode explores the rich metaphorical language and philosophical implications of AI as a reflection of human imagination. Drawing on concepts such as cyberdelics, the fusion of psychedelics and cybernetics, we dive deep into how AI functions as both a tool and a mirror for human creativity, externalizing our dreams and ideas into tangible form.

From augmented reality and the plasticity of imagination to the intrinsic connection between humans and machines, this episode delves into how AI allows us to play, create, and craft new realities. We examine AI’s role in collapsing the boundaries between cognition and dream, showcasing how it accelerates the process of turning thought into reality.

This poetic exploration offers listeners a thought-provoking discussion on the co-evolution of humans and technology, where the lines between virtual and real worlds blur. Hobson challenges listeners to reconsider the role of AI—not merely as a tool, but as a profound extension of human creativity and consciousness.

Join us as we explore the beauty of imagination externalized, the future of AI-generated creativity, and the deep philosophical questions posed by the rapidly evolving relationship between humans and machines.

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In Episode 17, AI News: Pushing the Boundaries of Innovation, we dive into the latest groundbreaking advancements in AI. Jonathan Kyle Hobson and the team take a detailed look at some of the most exciting recent developments that are transforming both the hardware and software landscapes. From AI designing its own computer chips to the next generation of augmented reality (AR) glasses from tech giants like Snap and Meta, we’re living in a world where the future seems to be unfolding faster than ever.

This episode cuts through the noise, delivering key insights on AI’s influence on industries like medicine, research, space exploration, and even content creation. We also explore the integration of multimodal AI and its role in making AR more immersive, as well as tools like OpenAI’s Canvas and Meta’s MovieGen, which are democratizing creativity by simplifying the creation of videos and visual content.

As AI systems continue to become more intuitive and assist in everyday tasks, we also touch on OpenAI’s latest advances in voice mode and how ChatGPT is evolving to hold real-time conversations, remember past interactions, and even respond to emotional cues in your voice.

Whether you’re a tech enthusiast or simply curious about the ways AI is revolutionizing our world, this episode provides a fascinating overview of the latest trends shaping the future. Join us as we navigate this fast-paced, ever-changing landscape and explore the opportunities and challenges that come with it.

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