Azeem Azhar's Exponential View

Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape. Organizations across the world have been grappling with the opportunities and challenges of generative AI. This week, Azeem joins AI pioneer and entrepreneur Andrew Ng to discuss the intricacies of this moment and debate whether we’re at an inflection point in the AI revolution. They consider: What have organizations learned about AI, and what common mistakes have they made implementing it? What does it mean to be at an inflection point in the AI revolution? How can regulation support the development of AI? @azeem @AndrewYNg Further resources: Andrew Ng: How to Be an Innovator (MIT Technology Review, 2023) An Update on the Latest Research on Generative AI and Work (Exponential View, 2023) Creating an AI-First Business, with Andrew Ng (Exponential View Podcast, 2019)

Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? In new episodes released throughout December and January, Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape. This week, Azeem speaks with Aravind Srinivas, the co-founder and CEO of Perplexity.ai, about the looming challenges in AI research and product development, such as user-centric design and the importance of open-source models. They discuss: AI as a tool for democratizing information access. The “innovator’s dilemma” for Google Search. Whether or not conversational interfaces will become the norm for how we interact with AI. The array of interests shaping the AI regulation debate. @azeem @AravSrinivas Further resources: How Perplexity.ai Is Pioneering The Future Of Search (Forbes, 2023) AI’s First Flight: An Early Milestone in Generalised Intelligence? (Exponential View, 2023)

Artificial Intelligence is on every business leader’s agenda. How do we make sense of the fast-moving new developments in AI over the past year? Azeem Azhar returns to bring clarity to leaders who face a complicated information landscape. In new episodes released throughout December and January, Azeem and other AI experts will address questions like: What really matters when it comes to AI? How do you ensure the AI systems you deploy are harmless and trustworthy? How can we find the signal amidst so much noise? The upheaval at OpenAI sent shockwaves through the tech world. Karen Hao, a contributing writer who covers AI at The Atlantic, joins Azeem Azhar to break down the ideologies and power struggles within OpenAI and their implications for the development of artificial intelligence. She also explains how these internal conflicts reflect broader challenges in AI development and governance. They discuss: The ideological schism within OpenAI and the deep-rooted divides that have influenced the organization’s approach to AI safety and development. How OpenAI’s mission and its execution reflect broader power dynamics in the tech industry. The potential impact of this event on the future of AI and regulatory considerations. @azeem @_karenhao Further resources: Inside the Chaos at OpenAI (The Atlantic, 2023) Sam Altman and the Board of Secrets (Exponential View, 2023)

Artificial Intelligence (AI) is on every business leader’s agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today’s pick is Azeem’s 2020 conversation with the pioneering AI scientist Fei-Fei Li, professor of computer science at Stanford University and the founding co-director of Stanford’s Human-Centered AI Institute. They discuss: How Fei-Fei Li’s work on computer vision led to the transformation of AI development. Why we should rethink human and machine value systems. How the road to artificial general intelligence (AGI) could help us learn more about human cognition.

Artificial Intelligence (AI) is on every business leader’s agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today’s pick is Azeem’s 2021 conversation with veteran AI scientist Murray Shanahan, professor of cognitive robotics at Imperial College London and principal scientist at DeepMind. They discuss: Why some aspects of AI progress depend on embodied interaction. Understanding from where the major breakthroughs in the field may come. Why the salary inflation for commercial AI engineers might hinder research. Further resources: Role Play with Large Language Models (Murray Shanahan et al., 2023) Demis Hassabis on DeepMind’s Journey from Games to Fundamental Science (Exponential View, 2019)

Artificial Intelligence (AI) is on every business leader’s agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today’s pick is Azeem’s conversation with Joanna Bryson, a leading expert on the questions of AI governance and the impact of technology on human cooperation. They discuss: The concept of intelligence and AI as a “cognitive prosthetic.” The scale of development and the benefits of developing AI. The problem of explainability in AI systems. Further resources: A Very Short Primer on AI & IP, including Copyright (Joanna Bryson Blog, 2023) Inside the Loop: AI May Launch a Race No-one Can Afford to Lose (Azeem Azhar, 2023)

Artificial Intelligence (AI) is on every business leader’s agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today’s pick is Azeem’s conversation with Meredith Whittaker, president of the Signal Foundation. Meredith is a co-founder and chief advisor of the AI Now Institute, an independent research group looking at the social impact of artificial intelligence. They discuss: How discriminatory culture influences the values embedded in AI. Whether ethics officers can actually influence firms and their products. Why responsible AI design must include recognition of the shadow workforce helping to create it.

Artificial Intelligence (AI) is on every business leader’s agenda. How do you ensure the AI systems you deploy are harmless and trustworthy? This month, Azeem picks some of his favorite conversations with leading AI safety experts to help you break through the noise. Today’s pick is Azeem’s conversation with Dr. Rumman Chowdhury, a pioneer in the field of applied algorithmic ethics. She runs Parity Consulting, the Parity Responsible Innovation Fund, and she’s a Responsible AI Fellow at the Berkman Klein Center for Internet & Society at Harvard University. They discuss: How you can assess and diagnose bias in unexplainable “black box” algorithms. Why responsible AI demands top-down organizational change, implementing new metrics, and systems of redress. More details on the emerging field of “Responsible Machine Learning Operations”. Further resources: TIME100AI: Rumman Chowdhury Building an AI We Can Trust with Anthropic’s Dario Amodei (Exponential View, 2023) “‘I do not think ethical surveillance can exist’: Rumman Chowdhury on accountability in AI” (The Guardian, May 2023)

Never before has it been harder for leaders to make sense of what’s going on in the world. As exponential technologies like artificial intelligence (AI) march on, the ability to make future-proof decisions is all the more important for leaders. Azeem Azhar’s new TV show and podcast, Exponentially with Azeem Azhar (created in partnership with Bloomberg Originals), goes beyond mainstream conversations about technology to explore new ways of thinking about our collective future. In eight episodes, released weekly starting September 6, Azeem speaks with OpenAI CEO Sam Altman, co-founder and CEO of Anthropic Dario Amodei, and legendary Silicon Valley investor Vinod Khosla, among others. They discuss questions such as: What does it mean to legally own your thoughts, and why may we want that to happen soon? Could AI reduce global inequality by boosting productivity in the Global South? What assumptions do we need to change about conflict to avoid a second Cold War? @azeem @exponentialview

In his brief commentary, Azeem Azhar discusses the increasing complexity and capabilities of large language models (LLMs) and the transformative potential they hold. Just as the Copernican Revolution forced us to reassess our understanding of the universe and led to numerous societal and scientific changes, Azeem proposes that rapid advancements in AI could lead to a similar paradigm shift that challenges established norms and systems. @azeem @exponentialview Further resources: Exponential LLMs and the Copernican Moment, Azeem Azhar, 2023

In his brief commentary, Azeem Azhar lays out why the future of the Web is underpinned by AI, and what this means for the traditional business model of the internet. He considers whether there will be a single dominant player, like Google in Web 2.0, or a more fragmented landscape, as in social media? @azeem @exponentialview Further resources: AI is the Real Web3, Azeem Azhar, 2023

In his brief commentary, Azeem Azhar shares his outlook on how artificial intelligence could change the labor market, drawing on research published by Goldman Sachs, titled “The Potentially Large Effect of Artificial Intelligence on Economic Growth.” The paper suggests a positive impact on economic growth, alongside a shift to automation that could affect two-thirds of US occupations. Twitter: @azeem @exponentialview Further resources: The Potentially Large Effect of Artificial Intelligence on Economic Growth, Goldman Sachs, March 2023 After AI, Where Will the Jobs Come From? Azeem Azhar 2023 The Future of AI in the Workplace: A Survey of American Managers, 2023

Drawing on Carlota Perez’s framework, Azeem Azhar considers whether large language models (LLMs), such as OpenAI’s GPT-4, will drive a paradigm shift across our economies. His discussion touches on LLMs’ wide applications, their reliance on affordable computation and digital data, and their compatibility with existing and potential future digital infrastructures. Twitter: @azeem @exponentialview Further resources: LLMs and Technological Revolutions, Azeem Azhar 2023 Technological Revolutions and Techno-Economic Paradigms, Carlota Perez, 2010

Artificial intelligence (AI) is dominating the headlines, but it’s not a new topic here on Exponential View. This week and next, Azeem Azhar shares his favorite conversations with AI pioneers. Their work and insights are more relevant than ever. For Jürgen Schmidhuber, a recognized pioneer in AI, artificial intelligence is much more than another technological revolution. He sees it as the opportunity to transcend humanity and biology. In this conversation, taped in 2019, Jürgen and Azeem Azhar discuss what the next thirty years of AI will look like. They also discussed: The role of Long Short-Term Memory architecture in recent AI breakthroughs. Why the next AI wave will see machines actively shaping the data that they perceive. The second- and third-order consequences of bringing these more sophisticated artificial neural networks into our world. Jürgen Schmidhuber @Azeem Exponential View

Artificial intelligence (AI) is dominating the headlines, but it’s not a new topic here on Exponential View. Azeem Azhar shares his favorite conversations with AI experts. Their work and insights are more relevant than ever. Gary Marcus is well known as a deep learning critic. A neuroscientist, founder, and the author of Rebooting AI: Building Artificial Intelligence We Can Trust, Marcus believes that researchers need to move past deep learning in order to make true advances in machine intelligence. In 2019, he joined Azeem Azhar to discuss why, how, and when we can expect progress. They also discussed: What newborn ibexes can teach us about intelligence and learning. How deep learning promulgates the gap between big companies and startups. What we need for a breakthrough in AI. Further reading: How to Build Artificial Intelligence We Can Trust, Gary Marcus, September 6, 2019 Deep Learning: A Critical Appraisal, Gary Marcus, January 2, 2018 @garymarcus @azeem Exponential View