Lego 4 Ai

By Ash Lonare

🎙️ Lego for AI Podcast 🎧

Welcome to Lego for AI, the podcast where we break down the complex world of Artificial Intelligence into easy-to-understand, actionable b

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FAQs about Lego 4 Ai:

How many episodes does Lego 4 Ai have?

The podcast currently has 25 episodes available.

Lego 4 Ai episodes:

January 18, 2025 12 Things Everyone Should Understand About Tech
Anil Dash's Medium article, "12 Things Everyone Should Understand About Tech," argues that technology is far more than consumer products; it fundamentally alters culture and society. Dash highlights the non-neutrality of technology, the absence of ethical training in tech education, and the misconceptions surrounding technological innovation, such as the "lone genius" myth. He also examines the business models of major tech companies and the lack of sufficient regulatory oversight, concluding that a better understanding of these factors is crucial for positive change within the industry. Finally, he proposes ways to achieve this positive change by increasing ethical awareness amongst tech developers and investors.
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31min
January 17, 2025 The case for an AI-powered productivity boom
This Brookings Institution report, authored by Baily, Brynjolfsson, and Korinek, examines the potential economic impact of generative AI. The authors argue that AI will significantly boost productivity, primarily by increasing efficiency and accelerating innovation. They acknowledge potential risks, such as job displacement and income inequality, but emphasise the overall positive effects on economic growth and welfare. The report also discusses challenges in measuring AI's impact on productivity due to the difficulties in quantifying knowledge work. Finally, the authors call for policies that mitigate risks while maximising the benefits of AI-driven productivity growth.
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23min
January 16, 2025 Machine Learning and Workforce Implications
This is an excerpt from Erik Brynjolfsson and Tom Mitchell's 2017 Science article, "What can machine learning do? Workforce implications". The authors explore the capabilities and limitations of machine learning (ML), focusing on its impact on the workforce. They identify tasks well-suited for ML and those less amenable to automation, highlighting that ML's effects on employment are multifaceted, extending beyond simple job replacement. The article examines six key economic factors influencing ML's impact, including substitution, complementarities, and elasticity. Finally, it concludes that while ML will automate some tasks, it will also create new opportunities and necessitate complementary investments in skills and infrastructure.
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15min
January 15, 2025 A Brief History of Artificial Intelligence
In Episode 2 of the Lego for AI Podcast, we explore Haenlein and Kaplan’s A Brief History of Artificial Intelligence, an insightful journey through the evolution of AI.
The episode takes you through:
📜 The conceptual origins of AI in the 1940s and its progression through distinct phases of breakthroughs and setbacks.
🏢 The current state of AI in businesses, with a focus on its influence on human resources, organisational decision-making, and marketing strategies.
⚖️ The future implications of AI, including the pressing need for ethical regulation to address societal challenges and disruptions.
Whether you're an AI enthusiast or a professional navigating the business landscape, this episode is a must-listen to understand how AI’s history shapes its present and future.
Tune in and join us in piecing together the past, present, and future of Artificial Intelligence! 🎧
#AI #ArtificialIntelligence #Podcast #HistoryOfAI #BusinessImpact #EthicsInAI #LegoForAI
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20min
January 14, 2025 Prediction Machines – The Simple Economics of AI
In this debut episode of the Lego for AI Podcast, we dive into the groundbreaking book Prediction Machines: The Simple Economics of Artificial Intelligence by Agrawal, Gans, and Goldfarb.
This book takes a refreshingly simple approach to understanding AI, reframing it as a reduction in the cost of prediction. The authors, renowned economists, provide a powerful framework to navigate the economic and strategic implications of AI.
We discuss:
👉 How viewing AI through the lens of prediction transforms its role in decision-making.
👉 Why this perspective matters for businesses, governments, and individuals.
👉 Practical insights from the book on navigating the AI revolution.
Whether you’re a tech enthusiast, a business leader, or just curious about AI, this episode demystifies its transformative potential with clarity and precision.
Tune in to explore how this fresh perspective on AI can help you think differently about the future. 🚀
#AI #Podcast #PredictionMachines #ArtificialIntelligence #EconomicInsights #LegoForAI
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13min

FAQs about Lego 4 Ai:

How many episodes does Lego 4 Ai have?

The podcast currently has 25 episodes available.