Join Arvind Narayanan, a Princeton professor and expert on AI agents and policy, as he unpacks the substance behind AI technology. He discusses the risks of deploying AI agents and the pressing need for better benchmarking to ensure reliability. Delve into his book, which exposes exaggerated AI claims and failed applications. Narayanan also highlights his work on CORE-Bench, aiming to enhance scientific reproducibility and reviews the complex landscape of AI reasoning methods. He wraps up with insights on the tangled web of AI regulation and policy challenges.

Arvind Narayanan, a Princeton Professor and expert in AI and cryptocurrency, debunks the myth that simply adding more compute enhances AI performance. He emphasizes that data quality and algorithms are critical bottlenecks, questioning the future of synthetic data. Arvind draws parallels between AI and crypto hype, expressing skepticism about commoditization. He explores the potential of various small models versus few large ones, while highlighting the ethical implications and challenges in assessing AI's real-world applications and advancements.

Arvind Narayanan, a computer science professor at Princeton and co-author of "AI Snake Oil," dives into the complex world of artificial intelligence. He discusses the hype surrounding AI and its implications in areas like criminal justice and healthcare, emphasizing ethical dilemmas in automated decision-making. Narayanan critiques the use of generative AI in politics, warning it undermines democracy. He also addresses the fears surrounding artificial general intelligence, advocating for balanced, evidence-based AI policies that consider real-world usage.

Robert Wright, a journalist and author known for his insights into science and technology, joins computer scientist Arvind Narayanan to delve into the complexities of AI. They discuss Narayanan's new book, 'AI Snake Oil', which critiques AI's impact on society. Topics include the limitations of predictive AI in fields like healthcare and criminal justice, ethical ramifications of algorithms, and the challenges of social media governance. The conversation challenges the audience to consider a balanced view of AI's potential and pitfalls.

Arvind Narayanan, a computer science professor at Princeton and director of the Center for Information Technology Policy, delves into the realities of AI amidst the hype. He discusses the pitfalls of AI policy, emphasizing the need for harm-focused research. The conversation covers the risks of open-source foundation models, critiques of traditional AI in risk prediction, and the implications of scaling laws. Narayanan also sheds light on the balance between innovation and societal impact, highlighting the necessary collaboration between researchers and policymakers.

In this discussion, Arvind Narayanan and Sayash Kapoor, computer scientists at Princeton and authors of a revealing book on AI, debunk the overblown hype surrounding artificial intelligence. They clarify how much of what’s marketed as AI is actually just clever narratives or low-paid human labor. Dive into their insights on the environmental fallout of large models, the misconceptions about AI's capabilities, and the broader implications for society. Their critical take empowers listeners to navigate the murky waters of tech claims with skepticism.

Arvind Narayanan, a Princeton computer science professor, and Sayash Kapoor, a PhD candidate, dive into the misconceptions surrounding AI in their discussion on their book. They explore the origins of 'snake oil' in AI claims, stressing the importance of human oversight in content moderation challenges. The duo also tackles the misinformation crisis, emphasizing that a loss of trust in media is at its core. Their insights encourage optimism and highlight corporate responsibilities to address the societal impacts of AI technology.

In this engaging conversation, Arvind Narayanan, a Princeton professor and author of "AI Snake Oil," delves into the critical distinctions between real AI capabilities and hype. He highlights the ethical dilemmas surrounding predictive AI, especially in sensitive areas like criminal justice and healthcare. Arvind critiques the lack of regulation and the historical parallels between AI and cryptocurrency enthusiasm. He also discusses the evolving landscape of AI professions, stressing the need for ethical standards and the importance of transparency in technology.

Arvind Narayanan, a computer science professor at Princeton and co-author of "AI Snake Oil," dives into the truth behind artificial intelligence hype. He discusses the ethical dilemmas posed by predictive AI in sensitive fields like healthcare and criminal justice, advocating for human oversight. Narayanan also critiques the integration of AI in governance, asserting that complex political decisions require human judgment. He highlights the myths surrounding artificial general intelligence and emphasizes the need for regulatory frameworks that focus on technology usage.

Join Arvind Narayan, a Princeton University professor and co-author of 'AI Snake Oil,' as he unravels the complex landscape of artificial intelligence. The discussion dives into AI's promises in various sectors, especially hiring, while highlighting ethical concerns surrounding bias and discrimination. Narayan examines the moral challenges of using AI in child welfare, and the need for transparency in its applications. He also critiques the gap between AI's hype and reality, advocating for careful consumer awareness and ethical development to benefit society.