Next Gen: Beyond Innovation is a podcast that critically explores how emerging technologies shape and reshape our world from artificial intelligence to education, labor, health, climate, culture, and governance. We go beyond buzzwords to challenge dominant narratives, confront techno-solutionism, and uncover what’s often invisible: the biases, the power structures, the human cost. Through expert insight, storytelling, and sharp analysis, we empower professionals, educators, policymakers, and curious minds to think clearly, act responsibly, and shape futures that are ethical, sustainable.
Next Gen Code: Beyond Innovation
Claim This Podcastby Nj
19 episodes
Updated Daily
Accepts GuestsHas SponsorsLocation 🇫🇷
37
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality74
Social0
YouTube0
Engagement0
Podcast Overview
Next Gen: Beyond Innovation is a podcast that critically explores how emerging technologies shape and reshape our world from artificial intelligence to education, labor, health, climate, culture, and governance. We go beyond buzzwords to challenge dominant narratives, confront techno-solutionism, and uncover what’s often invisible: the biases, the power structures, the human cost. Through expert insight, storytelling, and sharp analysis, we empower professionals, educators, policymakers, and curious minds to think clearly, act responsibly, and shape futures that are ethical, sustainable.
Language
🇺🇲
Publishing Since
9/26/2024
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37
Podcast Authority
BetaPoorBased on show quality, social media presence, reviews, charts, and more
Quality74
Social0
YouTube0
Engagement0
7
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1
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11
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excellent
Episode Length
25 minutes
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good
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Every 14 days
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Recent Episodes
June 12, 2025
S1E19 - Humn Augmented
This episode explores the strategic vision of artificial intelligence transforming Human Resources from a cost center into a value driver through human and AI symbiosis, rejecting AI as a mere replacement tool.
April 25, 2025
S1E18 - Is Generative AI Manipulating Us Without Us Knowing?
<p>🎙️ <strong>The Human-AI Alliance: Opportunities, Biases, and Ethical Frontiers</strong></p><p>In this episode, we explore the evolving role of artificial intelligence across multiple domains, highlighting the complex and growing collaboration between humans and AI systems.</p><p>Drawing from a range of French research sources, we first examine a report from Télécom Paris that delves into <strong>bias, discrimination, and fairness in algorithms</strong>, analyzing their origins and proposing solutions through statistical and algorithmic approaches. The discussion also touches on the critical challenges of <strong>transparency</strong> and <strong>accountability</strong> in AI design.</p><p>We then broaden the scope to look at how AI is being integrated across various sectors, including:</p><ul><li><p><strong>Design and Creativity</strong></p></li><li><p><strong>Finance and Accounting</strong></p></li><li><p><strong>Project Management and Productivity</strong></p></li><li><p><strong>Industry and Manufacturing</strong></p></li><li><p><strong>Medicine and Healthcare</strong></p></li><li><p><strong>Human Resources and Management</strong></p></li></ul><p>Across these fields, AI is not just replacing human efforts, but <strong>enhancing and complementing</strong> them, offering new avenues for efficiency, innovation, and decision-making.</p><p>An article from Polytechnique Insights offers a deep reflection on the <strong>comparison between artificial and human intelligence</strong>, emphasizing the challenges of defining intelligence itself and the fundamentally different approaches of machines and humans.</p><p>We also address insights from Numalis, which distinguishes between <strong>automated AI systems and truly autonomous systems</strong>, arguing that today's AI is still far from true autonomy, instead operating under predefined external rules.</p><p>Finally, we explore critical ethical and legal questions surrounding <strong>generative AI</strong>, based on a report from CNPEN. Issues such as <strong>truthfulness, manipulation, copyright, and responsibility</strong> are at the forefront of the debate, forcing society to rethink how we regulate and trust AI technologies.</p><p>🎧 <strong>Tune in for an essential discussion on how AI is reshaping industries, challenging our definitions of intelligence, and raising urgent ethical questions for the future.</strong></p>
April 25, 2025
S1E17 - Your Next Assistant Might Be an AI Agent (And It’s Smarter Than You Think)
<p>🎙️ <strong>Beyond Prompts: Inside the Rise of Autonomous AI Agents</strong></p><p>In this episode, we take you on an in-depth exploration of the next big leap in artificial intelligence: <strong>autonomous AI agents</strong>. Far beyond simple prompt-based models, these agents are redefining what generative AI can do—by giving it the power to reason, access real-time information, and interact with the world.</p><p>🧠 <strong>At the heart of this revolution lies a three-layer cognitive architecture:</strong></p><ul><li><p><strong>The Model (LLM):</strong> Acting as the agent’s brain, this layer leverages advanced reasoning frameworks like <strong>ReAct</strong>, <strong>Chain of Thought</strong>, or <strong>Tree of Thoughts</strong> to break down complex problems into actionable steps.</p></li><li><p><strong>The Tools:</strong> These are the agent’s gateways to the outside world—via API calls, code execution, and dynamic knowledge retrieval. Tools include:</p><ul><li><p><strong>Extensions</strong>, for API integration using in-context learning;</p></li><li><p><strong>Functions</strong>, enabling direct client-side code execution;</p></li><li><p><strong>Data Stores</strong>, such as vector databases that power real-time memory and retrieval-augmented generation (RAG).</p></li></ul></li><li><p><strong>The Orchestration Layer:</strong> The agent’s inner conductor, coordinating memory, reasoning paths, tool usage, and decision-making logic through intelligent prompt engineering and control mechanisms.</p></li></ul><p>Unlike static models limited to a single inference and fixed training data, <strong>AI agents can dynamically expand their knowledge, interact across multiple turns, and orchestrate complex tasks</strong>—like a chef managing a multi-course meal, balancing ingredients, timing, and tools to deliver a perfect result.</p><p>🛠️ We also explore how <strong>in-context learning</strong>, <strong>retrieval-based adaptation</strong>, and <strong>fine-tuning</strong> are used to sharpen tool usage and context awareness, making agents increasingly precise and autonomous.</p><p>🚀 Finally, we dive into <strong>LangChain</strong>, a game-changing framework that helps developers build powerful, custom agents by chaining logic, reasoning, and tool calls into cohesive workflows.</p><p>Whether you’re an AI enthusiast, developer, or just curious about what’s next, this episode offers a clear and engaging look into how <strong>AI agents are transforming generative AI into real-world intelligence</strong>.</p>
19 total episodes available
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- What is Next Gen Code: Beyond Innovation?
- How often does this podcast release new episodes?
This podcast updates daily.
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This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
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Yes, this podcast regularly features guests.
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