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TechSurge: Deep Tech VC Podcast
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1 Understanding the Elegant Math Behind Modern Machine Learning 1:14:43
1:14:43
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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 math that powers 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…
The Capabilities and Limitations of ChatGPT with Professor Chris Hoofnagle
Manage episode 356302953 series 1380794
Contenido proporcionado por The BTLJ Podcast. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The BTLJ Podcast o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Join Podcast Editors Isabel Jones and Eric Ahern as they sit down with today’s expert guest, Berkeley Law Professor Chris Hoofnagle, to discuss ChatGPT. They’ll explore the potential impacts of ChatGPT not only on everyday life, but also on the legal industry, education, intellectual property law, geopolitics, and more!
…
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74 episodios
Manage episode 356302953 series 1380794
Contenido proporcionado por The BTLJ Podcast. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente The BTLJ Podcast o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
Join Podcast Editors Isabel Jones and Eric Ahern as they sit down with today’s expert guest, Berkeley Law Professor Chris Hoofnagle, to discuss ChatGPT. They’ll explore the potential impacts of ChatGPT not only on everyday life, but also on the legal industry, education, intellectual property law, geopolitics, and more!
…
continue reading
74 episodios
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1 Tech Courts, Judicial Education, and Post-Chevron Regulation: Exploring Solutions with Professor Michele Neitz 43:51
Tech Courts, Judicial Education, and Post-Chevron Regulation: Exploring Solutions with Professor Michele Neitz by The BTLJ Podcast
Section 230, Free Speech and the Internet with Dean Erwin Chemerinsky by The BTLJ Podcast
Berkeley Law LLM student Franco Dellafiori, and Professor Bertrall Ross sit down to discuss how artificial intelligence will impact elections like the November 2024 one and the state of our general democracy for years to come. Professor Ross is a Professor of Law at the University of Virginia and the Director of UVA’s Karsh Center for Law and Democracy. Previously, Professor Ross taught at our very own Berkeley Law, where he received the Rutter Award for Teaching Excellence. Professor Ross continues to be a great mentor to students by telling them, candidly, whether Chat GPT will tell them how to vote in today's democracy.…
On this episode of the Berkeley Technology Law Journal, we sat down with Professor Rebecca Wexler to discuss the intersection between reproductive justice and data privacy. In June 2022, the Supreme Court issued a ruling in Dobbs v. Jackson Women's Health Organization. Dobbs overturned Roe v. Wade and Planned Parenthood v. Casey's holdings that the US Constitution grants a right to an abortion. Shortly thereafter, Professor Wexler co-authored with Professor Aziz Huq an article in the New York University Law Review titled “Digital Privacy for Reproductive Choice in the Post-Roe Era. Today, Professor Wexler reflects on that piece and on the need for an evidentiary privilege to shield reproductive data from use in criminal investigations. We hope you enjoy the podcast. Record 3/08/2024.…
Join host Gayathri Sindhu as she interviews Professor Colleen Chien, a trailblazer in intellectual property and technology law with a career marked by fascinating achievements and obstacles overcome. They dive into Professor Chien's new "Law and Governance of AI" course, taught for the first time at Berkeley Law in the spring of 2024, and explore her groundbreaking study on the transformative power of generative AI in legal aid. This episode offers an inspiring and insightful look at the future of law and technology.…
Berkeley Law Professor, Talha Syed, discusses the impending antitrust lawsuit against Apple. Professor Syed, an expert in political economy, antitrust, and intellectual property, takes us on a journey through the history of antitrust and how we got to the current moment, one where the government is reevaluating antitrust law and its specific application to big tech. Professor Syed reveals his thoughts and assessment of the new Brandeis movement, headed by Lina Khan and Jonathan Kanter of the FTC and DOJ. He also shares his perception of the merits of an antitrust challenge to Apple and what the case could mean for the future of big tech. We hope you enjoyed the podcast.…
Google, Facebook, Instagram, and the rest of the internet, are housed on servers. These servers are mostly stored in data centers located in small, desert communities. Data centers use water to cool their servers. As the climate changes and droughts become more prevalent, legal issues arise as to who gets primary access to water sources. BTLJ Podcast host, Meg O'Neill, speaks with lawyer John DeVoe of Water Watch, and then journalist Mike Rogoway of the Oregonian.…
On this recent episode of the BTLJ Podcast, Terry Zhao '26 sits down with Dan Jasnow, a practicing attorney, and Stefano Da Fre, an actor, director, and producer, to hear two different perspectives on how AI impacted the longest SAG-AFTRA strike in Hollywood history.
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1 Copyright Law in the AI Age with Heather Whitney and David Fang 1:04:04
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Paul Wood '26 sits down with attorneys Heather Whitney and David Fang to discuss the complex interactions between generative AI and copyright law, highlighting the latest developments and legal battles. Join us as we explore how groundbreaking AI technologies like ChatGPT are challenging traditional copyright frameworks.…
Podcast editors Eric Ahern '25, Juliette Draper '26, and Meg O'Neill '26 cover the verdict announced in the trial of FTX founder Sam Bankman-Fried, the recent bankruptcy of WeWork, and global responses to President Biden's Executive Order targeting AI.
The BTLJ Podcast team sits down with Tatiana Rice from the Future of Privacy Forum to explore the fascinating world of biometrics and its role in a recent case, Barnett v. Apple, which involves a dispute over Apple's use of facial recognition and Touch ID technology.
Join BTLJ podcast host Ian Smith as he sits down with expert guest Dr. Brandie Nonnecke to discuss Section 230 of the Communications Decency Act and Gonzalez v. Google. They'll explore the evolution and power of Section 230, which provides legal protections to online platforms for content created by third-party users, and will discuss the potential implications of Gonzalez, an ongoing case involving a Section 230 dispute that was recently heard by the Supreme Court. Dr. Nonnecke is the founding director of the Citris Policy Lab at UC Berkeley and an associate research professor at the Goldman School of Public Policy where she directs the tech policy initiative.…
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1 The Capabilities and Limitations of ChatGPT with Professor Chris Hoofnagle 1:04:56
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Join Podcast Editors Isabel Jones and Eric Ahern as they sit down with today’s expert guest, Berkeley Law Professor Chris Hoofnagle, to discuss ChatGPT. They’ll explore the potential impacts of ChatGPT not only on everyday life, but also on the legal industry, education, intellectual property law, geopolitics, and more!…
The BTLJ Podcast team sits down with Berkeley Law Professor Tejas Narechania to discuss his forthcoming article, "Convergence and a Case for Broadband Regulation." In the interview, Professor Narechania identifies the consequences of the outdated regulatory scheme for broadband services that exists in the United States. He also proposes a system involving broadband rate regulation as a solution to the problem. This interview was recorded on November 10, 2022.…
The BTLJ Podcast team sits down with ACLU Senior Staff Attorney Matt Cagle to discuss the use of automated license plate readers (ALPRs) by police departments and other law enforcement entities. This interview was recorded on November 9, 2022. For more reading on this subject, refer to the following links. ACLU’s reports on ICE’s use of ALPR information to locate and target immigrants: ACLU NorCal: Documents Reveal ICE Using Driver Location Data From Local Police for Deportations (https://www.aclunc.org/blog/documents-reveal-ice-using-driver-location-data-local-police-deportations). ACLU NorCal: Records Reveal ICE Agents Run Thousands of License Plate Queries a Month in Massive Location Database (https://www.aclunc.org/blog/records-reveal-ice-agents-run-thousands-license-plate-queries-month-massive-location-database). Case page on ACLU of Northern California’s lawsuit against the Marin County Sheriff (Lagleva v. Doyle) challenging its illegal sharing of ALPR information with out-of-state and federal agencies. Under settlement, the Marin County Sheriff conceded that state law prohibits the widespread sharing of personal information and changed its policies (https://www.aclunc.org/our-work/legal-docket/lagleva-v-doyle-license-plate-surveillance#:~:text=Under%20the%20settlement%2C%20Sheriff%20Doyle,by%20the%20county's%20ALPR%20cameras.). Electronic Frontier Foundation: What You Can Learn from Oakland's Raw ALPR Data (https://www.eff.org/deeplinks/2015/01/what-we-learned-oakland-raw-alpr-data).…
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