The Science of Making Truthful AI

Azeem Azhar's Exponential View

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State Secrets: Inside The Making Of The Electric State

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Family Secrets: Chris Pratt & Millie Bobby Brown Share Stories From Set 22:08

för 19 dagar sedan22:08

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22:08

Host Francesca Amiker sits down with directors Joe and Anthony Russo, producer Angela Russo-Otstot, stars Millie Bobby Brown and Chris Pratt, and more to uncover how family was the key to building the emotional core of The Electric State . From the Russos’ own experiences growing up in a large Italian family to the film’s central relationship between Michelle and her robot brother Kid Cosmo, family relationships both on and off of the set were the key to bringing The Electric State to life. Listen to more from Netflix Podcasts . State Secrets: Inside the Making of The Electric State is produced by Netflix and Treefort Media.…

för ungefär ett år sedan 43:47

MP3•Episod hem

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)

192 episoder

The Science of Making Truthful AI

Azeem Azhar's Exponential View

113 subscribers

published för ungefär ett år sedan

Dela

MP3•Episod hem

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)

192 episoder

All episodes

1
Are we ready for human-level AI by 2030? Claude’s co-founder answers 52:06

för 10 hours sedan52:06

52:06

Anthropic's co-founder and chief scientist Jared Kaplan discusses AI's rapid evolution, the shorter-than-expected timeline to human-level AI, and how Claude's "thinking time" feature represents a new frontier in AI reasoning capabilities. In this episode you'll hear: Why Jared believes human-level AI is now likely to arrive in 2-3 years instead of by 2030 How AI models are developing the ability to handle increasingly complex tasks that would take humans hours or days The importance of constitutional AI and interpretability research as essential guardrails for increasingly powerful systems Our new show This was originally recorded for "Friday with Azeem Azhar", a new show that takes place every Friday at 9am PT and 12pm ET on Exponential View. You can tune in through my Substack linked below. The format is experimental and we'd love your feedback, so feel free to comment or email your thoughts to our team at live@exponentialview.co . Timestamps: (00:00) Episode trailer (01:27) Jared's updated prediction for reaching human-level intelligence (08:12) What will limit scaling laws? (11:13) How long will we wait between model generations? (16:27) Why test-time scaling is a big deal (21:59) There’s no reason why DeepSeek can’t be competitive algorithmically (25:31) Has Anthropic changed their approach to safety vs speed? (30:08) Managing the paradoxes of AI progress (32:21) Can interpretability and monitoring really keep AI safe? (39:43) Are model incentives misaligned with public interests? (42:36) How should we prepare for electricity-level impact? (51:15) What Jared is most excited about in the next 12 months Jared's links: Anthropic: https://www.anthropic.com/ Azeem's links: Substack: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar Twitter/X: https://x.com/azeem…

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The future of Human-AI coexistence, according to Kevin Kelly (co-founder of Wired, futurist, author) 44:33

för 13 dagar sedan44:33

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Kevin Kelly is a co-founder of Wired Magazine and a renowned author and futurist. Decades ago, Kevin predicted much of today's technological and cultural landscape. In this discussion, he presents his new bold vision for what’s coming next: The Handoff to Bots. In this episode, you’ll hear: Why declining populations will radically reshape economies What a bot-to-bot economy could look and feel like Why people of the future might be paid to read emails How AI could help humanity find deeper purpose Why this future might be closer than you think Kevin’s links: Website/blog: https://kk.org/ Twitter/X: https://x.com/kevin2kelly Instagram: / kevin2kelly Azeem's links: Substack: https://www.exponentialview.co/ Website: https://www.azeemazhar.com/ LinkedIn: https://www.linkedin.com/in/azhar?ori... Twitter/X: https://x.com/azeem Timestamps: (00:00) Intro (02:17) The baby black hole behind Kevin's theory (10:49) Kevin's thesis: The handoff to bots (15:05) This world is closer than we think (19:32) The role of humans in this new world (21:23) Could monopoly influence pose a problem? (28:33) The nature of “struggle” in this new world (32:42) Could we see countries competing for population? (36:06) How a scarcity of humans might change what we value (42:30) What would 1994 Kevin think of 2025 Kevin's blog? Production: Production by supermix.io…

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AI in 2025 – A global perspective, with Kai-Fu Lee 50:23

för 13 weeks sedan50:23

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Kai-Fu Lee joins me to discuss AI in 2025. Kai-Fu is a storied AI researcher, investor, inventor and entrepreneur based in Taiwan. As one of the leading AI experts based in Asia, I wanted to get his take on this particular market. Key insights: Kai-Fu noted that unlike the singular “ChatGPT moment” that stunned Western audiences, the Chinese market encountered generative AI in a more “incremental and distributed” fashion. A particularly fascinating shift is how Chinese enterprises are adopting generative AI. Without the entrenched SaaS layers common in the US, Chinese companies are “rolling their own” solutions. This deep integration might be tougher and messier, but it encourages thorough, domain-specific implementations. We reflected on a structural shift in how we think about productivity software. With AI “conceptualizing” the document and the user providing strategic nudges, it’s akin to reversing the traditional creative process. We’re moving from a training-centric world to an inference-centric one. Models need to be cheaper, faster and less resource-intensive to run, not just to train. For instance, his team at ZeroOne.ai managed to train a top-tier model on “just” 2,000 H100 GPUs and bring inference costs down to 10 cents per million tokens—a fraction of GPT-4’s early costs. In 2025, Kai-Fu predicts, we’ll see fewer “demos” and more “AI-first” applications deploying text, image and video generation tools into real-world workflows. Connect with us: Exponential View…

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AI in 2025 – The great normalisation, with Nathan Benaich 46:11

för 14 weeks sedan46:11

46:11

Nathan Benaich, Founder and General Partner of Air Street Capital, joins me to discuss AI in 2025. From runaway consumer adoption to evolving enterprise moats, from still-elusive AI-driven drug breakthroughs to the renewed vigour in robotics, several core themes stood out. 1. Frontier models & AI at scale In 2024, we witnessed the astonishing growth of frontier models and their deployment on a massive scale. OpenAI’s GPT-4 and GPT-4 o1, Anthropic’s Claude and Google’s Gemini have all demonstrated that being “at the frontier” is increasingly the price of admission. 2. Consumers, voice and infinite worlds On the consumer side, we have reason to believe 2025 will be the year of AI-enabled workflows that feel truly natural. Voice, multimodality and integration into daily routines—like transcribing my morning thoughts during a commute—are becoming routine. 3. Accelerating science & drug discovery While AI accelerates lab automation and data analysis—improving reproducibility and speeding up processes—the promised “AI-designed blockbuster drug” is still in the pipeline. Clinical timelines and regulatory hurdles do not compress easily. 4. Geopolitics, funding and the sovereign question As training costs skyrocket and models require unimaginable scale, questions mount… Who funds these massive compute requirements? Will nation-states view these labs as strategic assets, akin to telecoms or chipmakers? 5. From explosive capability gains to refined utility We’ve grown numb to what was once astonishing—perfect speech synthesis, infinite text generation, zero-shot coding. The capabilities of models now surpass human levels in many benchmarks. The next major shifts may be subtler, or simply less obviously spectacular. Connect with us: Exponential View Nathan Benaich…

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AI in 2025 – Infrastructure, investment & bottlenecks with Dylan Patel 51:13

för 14 weeks sedan51:13

51:13

Dylan Patel, founder of SemiAnalysis and one of my go-to experts on semiconductors and data center infrastructure joins me to discuss AI in 2025. Several key themes emerged about where AI might be headed in 2025: 1/ Big Tech’s accelerating CapEx and market adjustments The hyperscalers are racing ahead in capital expenditure, with Microsoft’s annual outlay likely to surpass $80 billion (up from around $15 billion just five years ago). By mid-decade, total annual investments in AI-driven data centers could climb from around $150–200 billion today to $400–500 billion. While these expansions power more advanced models and services, such rapid spending raises questions for investors. Are shareholders ready for ongoing, multi-fold increases in data center build-outs? 2/ The competitive landscape and new infrastructure players The expected explosion in AI workloads is drawing in a wave of new specialized GPU cloud providers—names like CoreWeave, Niveus, Crusoe—each gunning to become the next vital utility layer of AI compute. Unlike the hyperscalers, these players tap different pools of capital, including real-estate-like finance and private credit, enabling them to ramp up aggressively. This dynamic threatens the established order and could squeeze margins as competition heats up. The market is starting to understand that. 3/ The semiconductor supply chain isn’t the only bottleneck We often talk about GPU shortages, but the real sticking point is broader infrastructural complexity. Yes, Nvidia and TSMC can ramp up chip supply. But even if you have enough high-end silicon, you still need power infrastructure and grid connectivity. Building multi-gigawatt data centers in the US—each the size of a utility-scale power plant—is now firmly on the agenda. In some states, data centers already consume 30% of the grid’s electricity. By 2027, AI data centers alone could account for 10% or more of total US electricity consumption, straining America’s aging infrastructure. 4/ Commoditization of models and margin pressure A year ago, advanced language models were scarce and expensive. Today, open-source variants like Llama 3.1 are driving commoditization at speed, slicing away the profit margins of plain-vanilla model-serving. If your model doesn’t outperform the best open source, you’re forced to compete on price—and that’s a race to the bottom. Currently, only a handful of players (OpenAI and Anthropic among them) enjoy meaningful margins. As models proliferate, value will increasingly flow to those offering distinctive tools, integrating closely into enterprise workflows and locking in switching costs. 5/ Into 2025: exponential curves and new market norms Despite these challenges—soaring costs, stalled infrastructure build-outs, margin erosion—Dylan is confident that exponential scaling will continue. The sector’s appetite for GPUs, specialized chips and next-gen data centers appears insatiable. We could easily see record-breaking fundraising rounds north of $10 billion for private AI ventures—funded by sovereign wealth funds and other capital pools that have barely scratched the surface of their capacity to invest in AI infrastructure. There’s also a very tangible productivity angle. AI coding assistants continue to reduce the cost of software development. Some software companies could be looking at 20–30% staff reductions in these technical teams as high-level coding becomes automated. This shift, still in its early days, will have profound downstream effects on the entire software ecosystem. Find us: Exponential View SemiAnalysis…

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Exponential Growth: Why AI, Solar & Batteries Will Keep Getting Cheaper | Exponential View & Cleaning Up Podcast 1:10:29

för 18 weeks sedan1:10:29

1:10:29

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 .…

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The Science of Making Truthful AI 43:47

för 1 year sedan43:47

43:47

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)…

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Azeem’s 2024 Trends: AI, Energy, and Decentralization 20:52

för 1 year sedan20:52

20:52

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)…

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The Challenges and Benefits of Generative AI in Health Care 35:18

för 1 year sedan35:18

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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)…

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Managing AI’s Carbon Footprint 34:04

för 1 year sedan34:04

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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)…

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AI Takes the Wheel: New Advances in Autonomous Driving 32:37

för 1 year sedan32:37

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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)…

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AI Is Transforming Businesses (with Andrew Ng) 28:19

för 1 year sedan28:19

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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)…

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A.I. Is Driving an Information Revolution 33:26

för 1 year sedan33:26

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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)…

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Understanding the Schism at OpenAI 45:47

för 1 year sedan45:47

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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)…

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Azeem’s Picks: The Promise of AI with Fei-Fei Li 36:07

för 1 year sedan36:07

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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.…

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