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Konten disediakan oleh Two Think Minimum and Technology Policy Institute. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Two Think Minimum and Technology Policy Institute atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

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Understanding the Elegant Math Behind Modern Machine Learning 1:14:43

9 hari yang lalu1:14:43

1:14:43

Artificial intelligence is evolving at an unprecedented pace—what does that mean for the future of technology, venture capital, business, and even our understanding of ourselves? Award-winning journalist and writer Anil Ananthaswamy joins us for our latest episode to discuss his latest book Why Machines Learn: The Elegant Math Behind Modern AI . Anil helps us explore the journey and many breakthroughs that have propelled machine learning from simple perceptrons to the sophisticated algorithms shaping today’s AI revolution, powering GPT and other models. The discussion aims to demystify some of the underlying mathematical concepts that power modern machine learning, to help everyone grasp this technology impacting our lives–even if your last math class was in high school. Anil walks us through the power of scaling laws, the shift from training to inference optimization, and the debate among AI’s pioneers about the road to AGI—should we be concerned, or are we still missing key pieces of the puzzle? The conversation also delves into AI’s philosophical implications—could understanding how machines learn help us better understand ourselves? And what challenges remain before AI systems can truly operate with agency? If you enjoy this episode, please subscribe and leave us a review on your favorite podcast platform. Sign up for our newsletter at techsurgepodcast.com for exclusive insights and updates on upcoming TechSurge Live Summits. Links: Read Why Machines Learn, Anil’s latest book on the math behind AI https://www.amazon.com/Why-Machines-Learn-Elegant-Behind/dp/0593185749 Learn more about Anil Ananthaswamy’s work and writing https://anilananthaswamy.com/ Watch Anil Ananthaswamy’s TED Talk on AI and intelligence https://www.ted.com/speakers/anil_ananthaswamy Discover the MIT Knight Science Journalism Fellowship that shaped Anil’s AI research https://ksj.mit.edu/ Understand the Perceptron, the foundation of neural networks https://en.wikipedia.org/wiki/Perceptron Read about the Perceptron Convergence Theorem and its significance https://www.nature.com/articles/323533a0…

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Konten disediakan oleh Two Think Minimum and Technology Policy Institute. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Two Think Minimum and Technology Policy Institute atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Podcast of the Technology Policy Institute of Washington, D.C. The Technology Policy Institute is a think tank that focuses on the economics of innovation, technological change, and related regulation in the United States and around the world. Our mission is to advance knowledge and inform policymakers by producing independent, rigorous research and by sponsoring educational programs and conferences on major issues affecting information technology and communications policy.

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133 episode

#Tech #Technology Policy Institute #Think Minimum

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Two Think Minimum

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updated 15 hari yang lalu

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Konten disediakan oleh Two Think Minimum and Technology Policy Institute. Semua konten podcast termasuk episode, grafik, dan deskripsi podcast diunggah dan disediakan langsung oleh Two Think Minimum and Technology Policy Institute atau mitra platform podcast mereka. Jika Anda yakin seseorang menggunakan karya berhak cipta Anda tanpa izin, Anda dapat mengikuti proses yang diuraikan di sini https://id.player.fm/legal.

Podcast of the Technology Policy Institute of Washington, D.C. The Technology Policy Institute is a think tank that focuses on the economics of innovation, technological change, and related regulation in the United States and around the world. Our mission is to advance knowledge and inform policymakers by producing independent, rigorous research and by sponsoring educational programs and conferences on major issues affecting information technology and communications policy.

… continue reading

133 episode

#Tech #Technology Policy Institute #Think Minimum

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Little Tech, Big Challenges: Competing in the AI Era with Matt Perault 41:06

15 hari yang lalu41:06

41:06

Little Tech, Big Challenges: Competing in the AI Era with Matt Perault by Technology Policy Institute

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Future of News Ratings and Media Trust with NewsGuard CEO Gordon Crovitz 39:48

5 weeks yang lalu39:48

39:48

On the latest episode of Two Think Minimum, Gordon Crovitz, Co-CEO and Co-Founder of NewsGuard joins hosts Tom Lenard, Sarah Oh Lam, and Scott Wallsten to discuss the evolving landscape of news credibility, misinformation, and the role of media ratings. They discuss NewsGuard’s approach to assessing news sources, the controversies surrounding its ratings, and the broader implications of government involvement in media regulation.…

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Stablecoin Policy and the Future of Crypto with Christian Catalini 31:00

13 weeks yang lalu31:00

31:00

Stablecoin Policy and the Future of Crypto with Christian Catalini by Technology Policy Institute

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European Innovation and Competitiveness with Nicolas Petit 42:11

14 weeks yang lalu42:11

42:11

In this episode of Two Think Minimum, Nicolas Petit, Chair in Competition Law at the European University Institute, joins hosts Tom Lenard, Scott Wallsten, and Sarah Oh Lam to explore the pressing challenges facing European competitiveness. Drawing insights from the recent Draghi Report, Petit discusses Europe's innovation gaps, the role of big tech, and the critical policy shifts needed to secure the region's economic future.…

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The Politics of Prediction Markets: John Phillips and David Mason 27:26

17 weeks yang lalu27:26

27:26

On the latest episode of Two Think Minimum, TPI hosts Tom Lenard, Sarah Oh Lam, and Scott Wallsten explore the world of polls and prediction markets with Aristotle CEO John Phillips and General Counsel David Mason. Aristotle helps run PredictIt, a platform which enables research into how markets can forecast events in real-time. The conversation covers how PredictIt is navigating CFTC regulation, the broad value of small-dollar prediction markets to understanding public opinion and risk forecasting, and how PredictIt determines which questions to create contracts for. This episode offers valuable insights for anyone interested in the intersection of market dynamics, public opinion, and data-driven insights.…

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The Economics of AI: Prediction Machines and Their Impact with Ajay Agrawal 55:09

39 weeks yang lalu55:09

55:09

The Economics of AI: Prediction Machines and Their Impact with Ajay Agrawal by Technology Policy Institute

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AI Accountability Policy with Ellen P. Goodman 38:23

42 weeks yang lalu38:23

38:23

In this episode of Two Think Minimum, Ellen P. Goodman, a distinguished professor of law at Rutgers Law School and former Senior Advisor for Algorithmic Justice at NTIA, U.S. Department of Commerce discusses artificial intelligence accountability policy. The podcast revolves around the NTIA AI Accountability Policy Report, which was released in March 2024, which Goodman was the principal author of. Goodman shares insights into the process of gathering and analyzing public comments for the report, the challenges of defining accountability in the context of AI, and the complexities of establishing standards in a rapidly evolving field. The conversation also touches on the potential impact of AI on labor markets, the role of auditors in ensuring AI accountability, and the government's own use of AI technology. Goodman concludes by discussing her current research on AI and copyright issues, particularly the copyrightability of AI-generated outputs.…

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Artificial Intelligence and the Future of Competition Policy with Catherine Tucker 39:46

44 weeks yang lalu39:46

39:46

In this episode of Two Think Minimum, MIT Professor Catherine Tucker discusses her research on competition policy and artificial intelligence. The discussion focuses on how AI's unique cost structures differs from that of traditional digital economics, how economists think about AI, and the implications of AI for competition policy and antitrust enforcement. Tucker explains that the current high fixed and marginal costs in AI are likely temporary, and that it's difficult to predict which firms will succeed in the AI industry. She also highlights the challenges AI poses for antitrust enforcement, such as the potential lack of "hot docs," the need for greater technical expertise among regulators, and the importance of understanding the role of data and algorithms in competition analysis.…

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Congressional Silence, Agency Power, and the Chevron Doctrine with Caroline Cecot 52:27

45 weeks yang lalu52:27

52:27

In this episode of Two Think Minimum, Caroline Cecot, an associate professor of law at Antonin Scalia Law School at George Mason University, talks about her recent article "The Meaning of ‘Silence.’" The discussion focuses on the potential consequences of narrowing the applicability of the Chevron doctrine and consequences on the major questions doctrine. She discusses the broader implications of overruling or limiting Chevron deference and the role of cost-benefit analysis in agency decision-making and the effect of the composition and views of the Supreme Court on administrative law issues.…

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FTC Actions on Antitrust Reforms with Ginger Jin and Liad Wagman 43:42

49 weeks yang lalu43:42

43:42

FTC Actions on Antitrust Reforms with Ginger Jin and Liad Wagman by Technology Policy Institute

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Navigating Technological Change: TikTok, AI Bias, and Societal Adjustments with Megan McArdle 53:13

50 weeks yang lalu53:13

53:13

The latest episode of the TPI Two Think Minimum podcast featured guest Megan McArdle, discussing pressing issues at the intersection of technology and society. The podcast covered several topics related to technology, policy, and societal impact, emphasizing the need for careful consideration of the implications of technological advancements and regulatory actions. Key topics included the proposed U.S. legislation to ban or force a sale of TikTok over national security concerns, the biases detected in Google's AI system Gemini that favored certain political perspectives, and the broader societal adjustments that may be required as AI transforms various industries and jobs.…

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Growing Threats to Wireless Communications and How to Address Them 42:57

50 weeks yang lalu42:57

42:57

Growing Threats to Wireless Communications and How to Address Them by Technology Policy Institute

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Airwaves of Innovation: Milgrom & Kwerel on the Past and Future of Spectrum Auctions 43:08

1 year yang lalu43:08

43:08

The journey to implementing spectrum auctions was not without its challenges. Evan Kwerel shed light on the initial resistance, particularly from the broadcasting industry and legislators. Concerns about market concentration and the potential costs of spectrum use were at the forefront of the debate. Despite these hurdles, the need for government revenue and the inefficiency of the existing system for cellular licenses were catalysts for change. Paul Milgrom provided a fascinating comparison between the United States and other countries. He noted the fragmented nature of the industry abroad and the various tactics used to suppress auction prices. In contrast, the U.S. wireless companies were less resistant, which played a part in the smoother implementation of spectrum auctions stateside.…

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Marius Schwartz on The Perverse Effects of the Robinson Patman Act 48:05

1 year yang lalu48:05

48:05

The Perverse Effects of the Robinson-Patman Act https://heinonline.org/HOL/LandingPage?handle=hein.journals/antibull31&div=37&id=&page=

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Joe Nocera Discusses the Covid Policy Big Fail 34:30

1 year yang lalu34:30

34:30

Joe Nocera Discusses the Covid Policy Big Fail by Technology Policy Institute

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