Wild Intelligence – The only talk show asking burning questions, sharing unpopular opinions, and all that is must know in AI today. Every week, Yael Rozencwajg invites world-class leaders to decrypt the wild world of AI. 👉 Interested in sponsoring an episode? Let’s chat. <br/><br/><a href="https://www.dailywild.co/s/podcast?utm_medium=podcast">www.dailywild.co</a>

Wild Intelligence
Claim This Podcastby Yael Rozencwajg
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Podcast Overview
Wild Intelligence – The only talk show asking burning questions, sharing unpopular opinions, and all that is must know in AI today. Every week, Yael Rozencwajg invites world-class leaders to decrypt the wild world of AI. 👉 Interested in sponsoring an episode? Let’s chat. <br/><br/><a href="https://www.dailywild.co/s/podcast?utm_medium=podcast">www.dailywild.co</a>
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Publishing Since
9/27/2024
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Recent Episodes

April 18, 2025
Zohar Bronfman: AI & the fabric of society
<p>AI & the fabric of society</p><p>In today’s episode, we emphasize artificial intelligence's multifaceted impacts. </p><p>While AI will significantly aid various professions, achieving full machine autonomy will be a considerable challenge. </p><p>He believes human oversight will remain crucial, particularly in roles requiring creativity and predictive decision-making. </p><p>The conversation touches on AI's rapid advancements, its potential to reshape the workforce and salary structures, and the ethical considerations arising from its increasing capabilities. </p><p>Bronfman highlights the need for individuals to become familiar with AI and for nations to invest in its development strategically. </p><p>He also expresses concern about the lack of global regulatory structures to manage the profound societal implications of this technology, differentiating current narrow AI from the yet-to-be-realized artificial general intelligence. </p><p></p><p><strong>Episode 3, season 3</strong></p><p><strong>The timeline:</strong></p><p>(00:00) Intro </p><p>(03:11) Our guest: Zohar Bronfman </p><p>(04:18) The place of human creativity in the AI era </p><p>(09:25) The impacts of automation on society </p><p>(15:47) How do we thrive until we get fully robotized? </p><p>(37:54) AGI, where are we?</p><p></p><p><strong>Our guest</strong></p><p>Zohar Bronfman is the co-founder and CEO of Pecan AI</p><p>With a double PhD computational neuroscience and Philosophy, Bronfman is also a recognized top AI leader and, last but not least, a Forbes contributor.</p><p><a target="_blank" href="https://www.linkedin.com/in/zohar-bronfman/"><strong>Zohar Bronfman's LinkedIn profile</strong></a></p><p></p><p>More about Pecan AI:</p><p>Founded in 2018, Pecan is a predictive analytics platform that leverages its pioneering Predictive GenAI to remove barriers to AI adoption, making predictive modeling accessible to all data and business teams. </p><p>Guided by generative AI, companies can obtain precise predictions across various business domains without the need for specialized personnel. </p><p>Predictive GenAI enables rapid model definition and training, while automated processes accelerate AI implementation. </p><p>With Pecan's fusion of predictive and generative AI, realizing the business impact of AI is now far faster and easier. </p><p><strong>Explore more at </strong><a target="_blank" href="http://www.pecan.ai/"><strong>www.pecan.ai</strong></a><strong>.</strong></p> <br/><br/>This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://news.wildintelligence.xyz/subscribe?utm_medium=podcast&utm_campaign=CTA_2">news.wildintelligence.xyz/subscribe</a>

April 12, 2025
What is AI safety
<p>As we’ve widely argued in this publication, we might see the development of hugely powerful machine learning systems in the next few decades. These systems have the potential to transform society, and this transformation could bring huge benefits—but only if we avoid the threats.</p><p>We think that AI systems' worst-case consequences arise largely because they could be misaligned—that is, they could aim to do things that humans don’t want them to.</p><p>In particular, we think they could be misaligned so that they develop (and execute) plans that threaten humanity’s ability to influence the world, even when we don’t want that influence to be lost.</p><p>What is AI safety?</p><p>AI safety refers to practices and principles that help ensure AI technologies are designed and used to benefit humanity and minimize any potential harm or negative outcomes.</p><p>Building safe AI systems is critical for businesses and society due to its increasing prevalence and impact. AI safety helps ensure that AI systems are used responsibly and that the future of AI is developed with human values in mind.</p><p><a target="_blank" href="https://www.linkedin.com/in/yaelrozencwajg/"><strong>Yael's LinkedIn profile</strong></a></p><p><strong>New season, new episodes, new guests.</strong></p><p>The AI revolution demands a new level of strategic foresight.</p><p>This season, we're exploring decision intelligence, a crucial framework for navigating this complex landscape.</p><p>We'll focus on how this interdisciplinary field empowers you to make data-driven decisions while upholding ethical standards and responsible practices.</p><p>We’ll cover the essential skills for leading AI projects, designing effective metrics, and implementing robust safety nets to mitigate threats.</p><p>Join us as we explore how to harness the power of AI while ensuring it serves your organization and society responsibly.</p> <br/><br/>This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://news.wildintelligence.xyz/subscribe?utm_medium=podcast&utm_campaign=CTA_2">news.wildintelligence.xyz/subscribe</a>

April 5, 2025
Guan Seng Khoo, PhD. Academic advisor, board member, adjunct lecturer: "Are we truly understanding the layers of AI beyond the hype?"
<p>Guan Seng Khoo, PhD., as an academic advisor, board member, and adjunct lecturer, I explore the complexities and challenges surrounding artificial intelligence, such as the <strong>opaqueness of AI models</strong>, particularly generative AI, concerning their architecture, data origins, and energy consumption.</p><p>We examine the <strong>ethical considerations of data input</strong>, the potential for biased or average outputs from large datasets, and the difficulty in validating AI learning models.</p><p>We also discuss the <strong>strategic implications for companies adopting AI</strong>, question whether goals are well-defined, and consider the balance between AI as an assistant and an autonomous agent. </p><p>Ultimately, we raise concerns about <strong>over-reliance on AI</strong>, the potential for misuse, and the need to implement greater awareness, education, and strategic thinking.</p> <br/><br/>This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://news.wildintelligence.xyz/subscribe?utm_medium=podcast&utm_campaign=CTA_2">news.wildintelligence.xyz/subscribe</a>
20 total episodes available
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Frequently asked questions
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- What is Wild Intelligence?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
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