As we race towards a future powered by AI and data centres, how will the insatiable demand for energy impact the environment? With the richest companies ploughing billions into energy generation, might there be some unexpected upsides for the climate transition? And can exponential technologies address the climate crisis on a finite planet? 

Cleaning Up host Michael Liebreich sits down with Azeem Azhar, founder of Exponential View, to explore the complex relationship between exponential growth, climate change, and the societal implications of transformative technologies. Michael and Azeem delve into the promises and pitfalls of a future shaped by the rapid advancements in renewable energy, battery storage, and artificial intelligence. 

This podcast was originally published on Cleaning Up. 

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.

This week, Azeem speaks with Richard Socher, CEO and founder of You.com, an AI chatbot search engine at the forefront of truthful and verifiable AI. They explore approaches to building AI systems that are both truthful and verifiable. The conversation sheds light on the critical breakthroughs in AI, the technical challenges of ensuring AI’s reliability, and Socher’s vision for the future of search.

They also discuss:

• How AI’s future is tied to advancements in natural language processing.
• The role of scientific rigor in large language models’ current and future developments.
• The founding of You.com and its mission to revolutionize search.
• Predictions for the next big breakthroughs in AI.

@azeem
@RichardSocher

Further resources:

• Why AI is humanity’s mirror — and what we can learn from it (Richard Socher, TED, 2023)
• The Promise of AI with Fei-Fei Li (Azeem Azhar, Exponential View, 2020)
• AI is the real web3 (Azeem Azhar, Exponential View, 2023)

As 2024 begins, leaders are facing increasing uncertainty and a host of difficult decisions. Azeem Azhar returns to bring clarity amid a complicated information landscape, with his analysis of 12 core themes that will shape the year ahead, including AI adoption, geopolitics, decentralization, the energy transition, and more.

The discussion specifically touches on:

• What will drive widespread corporate adoption of AI.
• How to think about the emergence of new business models around AI.
• What you need to know about the new wave of decentralization technologies.
• How leaders should think about an electrified world of stable and declining power prices.

@azeem

Further resources:

• The Horizon for 2024: The Biggest Questions on the Horizon (Azeem Azhar, 2024)
• Notes from a Ski Resort, 2024 Edition (Azeem Azhar, 2024)

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.

Generative AI has a lot to offer health care professionals and medical scientists. This week, Azeem speaks with renowned cardiologist, scientist, and author Eric Topol about the change he’s observed among his colleagues in the last two years, as generative AI developments have accelerated in medicine.

They discuss:

• The challenges and benefits of AI in health care.
• The pros and cons of different open-source and closed-source models for health care use.
• The medical technology that has been even more transformative than AI in the past year.

@azeem
@erictopol

Further resources:

• When AI Meets Medicine (Exponential View Podcast, 2019)
• Can AI Catch What Doctors Miss? (Eric Topol, TED, 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.

This week, Azeem joins Sasha Luccioni, an AI researcher and climate lead at Hugging Face, to shed light on the environmental footprint and other immediate impacts of AI, and how they compare to more long-term challenges.

They cover:

• The energy consumption and carbon impact of AI models — and how researchers have gone about measuring it.
• The tangible economic and social impacts of AI, and how focusing on existential risks now hurt our chances of addressing the immediate risks of AI deployment.
• How regulation and governance could evolve to address the most pressing questions of the industry.

@azeem
@SashaMTL

Further resources:

• Power Hungry Processing: Watt’s Driving the Cost of AI Deployment (Alexandra Sasha Luccioni et al, 2023)
• The Open-Source Future of Artificial Intelligence (Exponential View, 2023)
• AI is Dangerous, But Not For the Reasons You Think (TED, Sasha Luccioni, 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.

This week, Azeem joins Alex Kendall, co-founder and CEO of autonomous driving start-up Wayve, to uncover how the AI revolution is enabling new strides in self-driving. They delve into the implications of these advancements for urban mobility and the transformation of cities in the future.

They discuss:

• How business models in the automotive industry are shifting towards AI integration and subscription-based services.
• The role “embodied AI” is playing in shaping everyday assistance, beyond just digital interactions, in the future.
• The challenges and breakthroughs of applying AI in complex, unpredictable environments, like road traffic.

@azeem
@alexgkendall

Further resources:

• Ride the Wayve: Azeem Azhar Goes for an Autonomous Drive on London’s Toughest Roads (Wayve, 2023)
• UK Start-up Wayve Unveils Self-Driving System that Explains Its Actions (Financial Times, 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.

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)