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A deep dive into Databricks, the $130B private company that helps enterprises collect, process, and analyze massive amounts of data, leveraging its unique academic origins and open-source approach to build a comprehensive data and AI platform that enables businesses to transform raw information into actionable insights.
Scott Galloway shares his bold predictions for 2026, including AI stock corrections, the potential burst of the data center bubble, challenges to the NVIDIA and OpenAI duopoly, and the rise of space technology and prediction markets.
Citrini unveils his "26 Trades for 2026" thematic watchlist, focusing on the emerging "phase two" of the AI trade, which emphasizes utilizing AI to streamline bureaucracies, reduce headcounts, and improve corporate margins across various sectors.
Matt Ober, a seed-stage venture capitalist at Social Leverage, discusses the evolving data economy, highlighting how AI is reshaping data business models, the emergence of new data sources, and the transformation of alternative data from alpha to beta.
Live from NeurIPS 2025, Sarah Catanzaro from Amplify Partners discusses the state of AI startups, covering topics like the DBT-Fivetran merger, the crazy funding environment, world models, and her investment thesis focused on research-driven applications solving hard technical problems like RAG, rule-following, and continual learning.
Sam Rodriguez discusses the potential and current limitations of AI in scientific research, exploring how AI tools like Kosmos can help analyze data and generate novel insights while highlighting the significant challenges that remain in translating AI discoveries into practical scientific breakthroughs.
Mustafa Suleyman discusses Microsoft's AI strategy, the challenges of AI containment, the potential for AI to transform science and society, and the importance of developing safe and aligned superintelligence while navigating the narrow path between chaos and tyranny.
Jim Chanos breaks down the risks in AI infrastructure investing, highlighting the commodity-like nature of data center hosting, the potential for massive GPU depreciation, and the concerning trend of unprofitable AI companies driving massive capital expenditures.
Dr. Ian Graham reveals the data-driven approach Liverpool used to identify and sign key players like Mo Salah, Alisson, and Virgil van Dijk, challenging traditional scouting methods and transforming the club's trajectory.
Pim de Witte shares the journey of turning Medal's 3.8 billion gaming action-labeled clips into General Intuition, a world model lab aiming to create spatial-temporal foundation models that can power 80% of atoms-to-atoms interactions by 2030, with a focus on game-inspired AI agents that can generalize across simulations and robotics.
Travis Kavulla explains the complexities of electricity pricing and grid infrastructure, focusing on the challenges of integrating massive AI data center demand and the regulatory approaches to managing electricity market growth.
Dr. Glen Jeffery discusses how long wavelength light can improve mitochondrial function, metabolism, and cellular health, while warning about the potential harmful effects of short wavelength LED lighting on biological systems.
A deep dive into NVIDIA's defensive tweet about Google's TPUs, OpenAI's potential funding challenges, and the mysterious revenue plans of ex-OpenAI chief scientist Ilya Sustkever's new AI startup.
In a wide-ranging interview, Łukasz Kaiser, a key architect of modern AI, explains why AI progress continues to advance smoothly, highlighting the shift from pre-training to reasoning models and the potential of multimodal AI, robots, and generalization.
Fei-Fei Li and Justin Johnson discuss their new startup World Labs and Marble, a groundbreaking generative "world model" that creates editable 3D environments from text and images, exploring the potential of spatial intelligence as the next frontier beyond language models.
Epoch AI researchers discuss the potential trajectory of AI development, forecasting a data-driven timeline that suggests AI could solve major mathematical problems within five years, automate 10% of current jobs in a decade, and potentially trigger significant economic transformation by 2045.
Moonshots podcast delves into the latest AI and technological advancements, discussing NVIDIA's record revenue, Elon Musk's space data centers, AI's potential to solve major global challenges, and the exponential progress in areas like robotics, energy, and healthcare.
An in-depth exploration of AI's potential and limitations, the state of education, and the importance of maintaining personal happiness amid political polarization, featuring insights from astrophysicist Brian Keating on topics ranging from university admissions to the transformative power of AI tools.
Lyn Alden discusses the current state of the U.S. economy, AI investment, Bitcoin, and the potential for an AI bubble, highlighting the two-speed economy driven by AI capital expenditure and fiscal deficits while expressing a moderate bullish outlook on AI's long-term transformative potential.
Jacob Lieberman discusses NVIDIA's AI Data Platform, a GPU-accelerated storage solution that transforms enterprise data management by enabling AI-ready data processing directly in storage systems without copying or moving data.
Paul Kedrosky argues that the AI boom is a unique bubble combining elements of real estate, technology, loose credit, and potential government backstops, creating an unprecedented and potentially unsustainable investment landscape.
In this episode, Sajith Wickramasekara, CEO of Benchling, discusses how AI can accelerate drug discovery, reduce development costs, and transform the biotech industry by making scientific research more efficient and data-driven.
Will Marshall, co-founder of Planet Labs, discusses the revolutionary potential of imaging satellites, AI, and their mission to track and help protect life on Earth through daily global imaging and advanced data analysis.
In this special GTC edition podcast episode, scientists and technology leaders explore how AI is transforming scientific discovery, accelerating research across fields from drug development to quantum computing, and potentially revolutionizing our understanding of molecular design, human biology, and complex systems.
Nathan Benaich discusses the 2025 State of AI Report, highlighting breakthroughs in AI reasoning, robotics, business adoption, power infrastructure challenges, and geopolitical dynamics shaping the AI landscape.
Former FBI agent Eric O'Neill reveals the dark underbelly of cybercrime, exploring how hackers exploit human psychology, the terrifying realities of the dark web, and practical strategies for protecting oneself in the digital age.
In this episode, Scott Galloway and Ed Elson explore how China's AI efficiency could potentially undermine the U.S. economy by developing cheaper, less energy-intensive AI models that could disrupt the valuations of top American tech companies.
Daniel Yergin discusses the current state of the global energy transition, highlighting the continued dominance of hydrocarbons, the challenges of shifting to renewable energy, and the complex interplay between technology, geopolitics, and energy markets.
Chip Huyen, an AI researcher and engineer who has built multiple successful AI products, shares practical insights on what actually improves AI applications—from data preparation and user feedback to system thinking and organizational restructuring—challenging common misconceptions about the importance of the latest models and frameworks.
In this podcast episode, IQVIA executives discuss how agentic AI is transforming pharmaceutical research and development by streamlining clinical trials, enhancing patient engagement, and accelerating drug development through intelligent automation of complex workflows.
Imane Bakkar discusses the increasing volatility in electricity markets due to factors like AI, renewable energy, weather dependency, and the growing role of private markets in energy infrastructure.
Dylan Patel discusses the recent NVIDIA-Intel collaboration, the AI chip race between the US and China, and the evolving landscape of semiconductor technology, highlighting key developments in data centers, AI infrastructure, and global competition.
Sir David Spiegelhalter, a renowned statistician, discusses the importance of understanding uncertainty, evidence-based decision-making, and the role of data during crises like the COVID-19 pandemic. He shares personal insights about communicating risk, the challenges of medical statistics, and his own experience with prostate cancer, emphasizing the need to respect and understand data.
Sir David Spiegelhalter shares insights on statistics, uncertainty, and the importance of communicating evidence transparently, drawing from his experiences in medical research, public health crises, and scientific communication. He emphasizes the need for resilience, taking calculated risks, and approaching complex challenges with an open mind that acknowledges limitations and seeks diverse perspectives.