Search for a command to run...
In this quarterly Bitcoin Mastermind podcast, experts analyze geopolitical tensions, the potential impact of AI on economic models, cryptocurrency regulations, and Bitcoin's market dynamics while exploring global power shifts and technological disruption.
A podcast team creates their own social media platform in the Fediverse to explore whether they can build a better, more human-centric online community that doesn't rely on engagement-driven algorithms.
Ben Horowitz discusses how AI is transforming venture capital by accelerating decision-making, forcing firms to evaluate investors at the point of investment, and creating opportunities across multiple verticals while reflecting unprecedented market demand.
In this episode, M.G. Siegler and Alex discuss the current state of AI, exploring whether the technology needs a Steve Jobs-like figure, analyzing the AI chaos among big tech companies, and making predictions about the tech landscape in 2026.
A deep dive into venture capital with Alex Rampell, exploring investment strategies, the changing startup landscape, AI's impact on labor and technology, and the critical importance of finding high-agency founders who can materialize labor, capital, and customers.
Dr. Michael Power argues that Chinese AI, with its open-source approach and cost advantages, is poised to outmaneuver and potentially dominate the U.S. AI industry in the coming years.
Gary Vaynerchuk discusses the evolving landscape of digital marketing, emphasizing the importance of organic social content, measuring creative success, and leveraging platforms like Google Shorts and TikTok to feed AI language models while driving business growth.
Glean CEO Arvind Jain discusses the rapidly evolving AI landscape, emphasizing that businesses are only utilizing 1% of current AI capabilities and that the key to success lies in continuous innovation and adaptability.
A discussion of potential U.S. imperial ambitions under Trump, exploring geopolitical moves in Venezuela and Greenland, and analyzing how markets might react to increasingly aggressive foreign policy strategies.
Alex Rampell discusses Andreessen Horowitz's $15B fundraise, venture capital strategies, and the evolving landscape of technology investment, emphasizing the importance of finding high-agency founders who can materialize labor, capital, and customers.
Luke Harries, Head of Growth at ElevenLabs, shares insights on their unique growth strategy, product expansion, launching techniques, and how they've built a $6.6B growth engine without traditional product managers.
In this episode, Aishwarya Naresh Reganti and Kiriti Badam share insights on building successful AI products, emphasizing the importance of starting with low agency and high human control, iteratively developing AI systems, and focusing on solving specific business problems rather than getting caught up in technological complexity.
In this episode, Ranjan Roy and Alex Kantrowitz discuss Claude Code's emerging autonomous capabilities, OpenAI's launch of ChatGPT Health, prediction market controversies, and the potential end of busywork through AI-driven task automation.
A deep dive into the rapidly evolving landscape of AGI, robotics, and space technology in 2026, exploring the potential transformative impacts of AI, humanoid robots, and emerging technologies across economic, societal, and technological domains.
Ben Horowitz discusses how Andreessen Horowitz has scaled venture capital by building a platform that provides real support for entrepreneurs, focusing on network, operating experience, and helping founders navigate complex challenges across multiple technology sectors.
Logan Allin discusses how size becomes the enemy of venture returns, why private markets are changing, and how Fin Capital is building a full-lifecycle platform focused on enterprise software by taking a contrarian approach and finding inefficient market opportunities.
Robinhood CEO Vlad Tenev discusses the company's record year, highlighting its growth to 11 business lines generating over $100M in revenue, expansion into tokenization and prediction markets, and strategic vision for global and institutional market domination.
Nathan discusses his son Ernie's cancer treatment progress, provides an in-depth analysis of the current AI landscape by examining the strengths and potential weaknesses of Google DeepMind, OpenAI, Anthropic, and xAI, and shares his thoughts on model performance, technological advancements, and the companies' strategies in the AI race.
A deep dive into the viral Grok AI scandal of undressing images without consent, a look at Casey and Kevin's vibe coding experiments with Claude Code, and an investigation into a food delivery hoax that fooled Reddit and social media.
Josh Brown discusses the resilience of the AI market, earnings growth potential in 2026, and offers advice for young investors to welcome market corrections as opportunities for long-term wealth accumulation.
George Cameron and Micah Hill-Smith detail the journey of Artificial Analysis, an independent AI benchmarking platform that has evolved from a side project to a comprehensive resource for evaluating AI models across intelligence, performance, cost, and openness metrics.
NVIDIA CEO Jensen Huang discusses the transformative potential of AI in 2025, highlighting advancements in reasoning, robotics, and productivity across industries while refuting doomsday narratives and emphasizing the importance of open source and nuanced technological development.
A wide-ranging discussion of recent tech industry developments, including NVIDIA's $20B acquisition of Groq, Meta's $2B purchase of Manus, OpenAI's stock-based compensation strategy, Navan's IPO challenges, and the emerging trend of "invisible unemployment" driven by AI's impact on the labor market.
A wide-ranging discussion about AI's transformative potential, exploring its impact on enterprise, education, manufacturing, and technology across various sectors, with insights from McKinsey's Bob Sternfels and General Catalyst's Hemant Taneja.
A comprehensive look at the 2025 global market performance reveals that while US markets did well, international markets, particularly in China, South Korea, and emerging markets, significantly outperformed, challenging the "US is the only game in town" narrative.
Reid Hoffman predicts 2026 will be the year of AI agents breaking out of coding into broader domains, with a focus on enterprise AI, orchestration, and potential breakthroughs in biological research.
CoreWeave's founders discuss their rapid rise in the AI infrastructure market, defending their business model against claims of being an AI bubble, and explaining how they've strategically built data centers and acquired GPUs through carefully structured long-term contracts with major tech companies.
A fascinating conversation with 22-year-old Brendan Foody, CEO of Mercor, exploring how AI is transforming knowledge work through expert-driven evaluation, rubric creation, and reinforcement learning across various industries.
In this a16z podcast episode, Marc Andreessen shares his insights on AI's transformative potential, discussing the technology's rapid development, its impact across industries, the ongoing race between open and closed source models, and the complex geopolitical dynamics of AI innovation between the US and China.
A deep dive into Novo Nordisk's groundbreaking first-ever GLP-1 pill for weight loss, exploring its potential market impact, pricing strategy, and the broader implications for obesity treatment in the United States.
In this episode, Kieran and Kipp break down the top 5 AI launches and must-have skills for marketers in 2026, focusing on content remixing with Gemini 3, advanced image and video creation tools like Nano Banana Pro and Veo 3.1, AI-powered automation and agentic workflows, and powerful coding tools that can help marketers dramatically scale their productivity.
Young Zhao, CEO of OpusClip, shares insights on building a successful AI startup by focusing on solving real painful problems, understanding user workflows, and maintaining discipline while creating innovative tools that transform content creation.
Cal Newport and Ed Zitron dissect the tumultuous year of AI in 2025, revealing a narrative of technological hype, financial unsustainability, and diminishing returns, ultimately concluding that it was a terrible year for artificial intelligence.
In a wide-ranging conversation, Marc Andreessen argues that AI will dramatically amplify human potential, challenge fears of existential risk, and serve as a democratizing force that can help solve global challenges while empowering individuals across every domain of human activity.
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.
Kieran Flanagan provides an optimistic and strategic view of AI's impact on B2B marketing, emphasizing how marketers can leverage AI to focus on creativity, storytelling, and solving complex problems while automating routine tasks.
Ryan Kidd discusses the AI safety research landscape, MATS' mission to develop talent across diverse research tracks, and the program's approach to identifying and supporting promising researchers working on critical AI alignment challenges.
Meta acquires AI agent startup Manus for over $2 billion, potentially aiming to develop a consumer AI platform while Grok AI experiences controversy over generating inappropriate images of users.
A panel of AI investment experts discuss the massive capital influx into AI, highlighting the insatiable demand for compute infrastructure, applications, and the potential risks of unequal wealth creation and energy constraints.
After reflecting on their tech resolutions from last year and discussing their goals for 2026, Kevin and Casey dive into listener questions about AI, technology, and quirky scenarios like deepfaking Santa into home security footage.
Luke Drago discusses the "Intelligence Curse" - a potential future where AI systems replace human workers, concentrating economic and political power in the hands of those who control AI technology, potentially undermining democratic institutions and social mobility.
Marc Andreessen and Ben Horowitz discuss Andreessen's Techno-Optimist Manifesto, exploring how technological innovation can drive progress, overcome pessimism, and create opportunities for marginalized communities through free markets and technological advancement.
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.
Dan Shipper and Brandon Gell explore AI predictions for 2026, discussing agent-native software architectures, the changing role of software engineers, the potential impact of AI on elections, and the ongoing challenge of achieving truly autonomous AI agents.
Demis Hassabis discusses Google DeepMind's path to artificial general intelligence, exploring the challenges of building AI systems with reasoning, creativity, and consistent behavior across cognitive tasks, while also highlighting potential breakthroughs in science, health, and technology.
Josh McGrath explores the evolving landscape of post-training AI research, discussing token efficiency, RLVR methods, agent workflows, long context challenges, and the critical need for interdisciplinary researchers who can bridge machine learning and distributed systems.
Jayshree Ullal, CEO of Arista Networks, discusses the company's critical role in building high-performance AI infrastructure, the unprecedented power demands of AI networking, and how their innovative software and customer-focused approach have helped them become a leader in connecting the world's most demanding data centers.
Jason, Lon, and Alex recap the most memorable moments from This Week in Startups in 2025, handing out "Twisty Awards" for categories like best name drops, biggest trends, most controversial moments, and top dad jokes.
An exploration of AI progress through the lens of reinforcement learning, discussing Ashvin Nair's journey from robotics to OpenAI and now Cursor, with insights into model development, continual learning, and the challenges of scaling AI technologies.
Kevin Roose joins The Wirecutter Show to discuss how he uses AI chatbots like Claude, Gemini, and ChatGPT for various tasks such as email management, research, household problem-solving, and personal advice, while offering insights into AI's growing role in technology and everyday life.
Mark Cuban explores the potential and challenges of AI, discussing his investment strategies, the importance of vertical AI solutions, and why he believes AI won't replace human creativity and sentience.
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.
Ricardo Vice Santos is building DreamStories, an AI-powered platform creating personalized children's books, with a broader vision of generating customized media tailored to individual families and personal preferences.
NVIDIA's Ian Buck discusses how Mixture of Experts (MoE) architecture enables smarter AI models by activating only the most relevant neural networks, dramatically reducing computational costs while increasing intelligence scores.
A16z consumer investors discuss the state of consumer AI in 2025, highlighting the dominance of a few products, the rise of multimodal models, and the potential for innovative startups in the AI space.
Emmett Shear and Séb Krier explore the flaws in current AI alignment approaches, arguing for a more organic, process-oriented method that treats AI as potential beings with evolving goals and the capacity for care, rather than mere tools to be controlled.
A year after its launch, the Model Context Protocol (MCP) has rapidly evolved from a local-only experiment to an industry-standard communication protocol for AI agents, now being donated to the newly formed Agentic AI Foundation under the Linux Foundation, with founding members from Anthropic, OpenAI, Block, and others.
Lightspeed partner Michael Mignano discusses his investment strategy in AI and creativity, highlighting investments in companies like xAI, Neuralink, Suno, and Pika, while exploring the evolving landscape of technology, media, and creator economics.
Steve Yegge discusses the rise of "vibe coding," arguing that by January 2025, engineers using traditional IDEs will be considered obsolete as AI agents and orchestration dashboards revolutionize software development, transforming coding from a manual craft to "factory farming" of code.
Bryan and Bill from OpenAI discuss Codex Max, a long-running coding agent designed to work for 24+ hours, manage its own context, and spawn sub-agents, highlighting the importance of model personality, trust, and evolving AI agent capabilities for coding and personal automation.
Brian Halligan reflects on his entrepreneurial journey at HubSpot, discussing the challenges and joys of building a billion-dollar company, the evolution of startup culture, and his insights on leadership, happiness, and the future of technology.
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.
Josh Meier and Jack Dent from Chai Discovery discuss how their AI models are revolutionizing drug discovery by rapidly designing novel antibodies with promising drug-like properties, potentially transforming the biotech industry's approach to developing new therapies.
Reid Hoffman explores how philosophy, particularly Wittgenstein's ideas, can help us understand AI's evolution and its potential to change what it means to be human.
A comprehensive review of the tech landscape in 2025, with predictions for 2026 focusing on AI development, key company strategies, potential leadership changes, and the evolving dynamics of big tech firms like Meta, Google, OpenAI, and Tesla.
In this candid interview, Ali Ghodsi from Databricks and Arvind Jain from Glean discuss the current state of enterprise AI, exploring why 95% of AI projects fail, why LLMs are becoming commodities, and how proprietary data and workflow integration will create durable competitive advantages.
In this episode of Moonshots, Matt Fitzpatrick of Invisible Technologies discusses how companies can become AI-native in 2026 by focusing on clean data, selecting specific use cases, running targeted experiments, and creating multi-agent teams with operational KPIs to drive meaningful AI transformation across industries.
YC partners reflect on 2025's AI landscape, highlighting stabilization, shifting model dominance with Anthropic and Gemini gaining ground, and the promising potential for AI startups in the deployment phase of technological innovation.
James Cadwallader discusses how his company Profound helps brands maintain visibility and control their narrative in the emerging AI-driven search landscape, where ChatGPT and other AI models are becoming the primary discovery platforms for consumers.
A lively end-of-year podcast episode reviewing 2025's top founders, funds, companies, and making predictions for 2026, including potential tech IPOs, stock performance, and the potential impact of AI on employment.
An in-depth exploration of the critical AI security crisis, revealing how current AI systems are vulnerable to prompt injection and jailbreaking attacks, and why existing guardrails are ineffective as AI agents gain more power to take real-world actions.
A deep dive into OpenAI's strategic vision with Sam Altman, exploring potential AI memory features, enterprise personalization, device plans, and the evolving landscape of artificial intelligence, while also discussing Google's new Gemini Flash model and Microsoft Copilot's challenges.
Mark Rober discusses his journey from NASA engineer to YouTube science communicator, sharing insights on engineering, innovation, failure, curiosity, and the potential impacts of emerging technologies like AI and robotics.
A live podcast episode featuring conversations with Alex Boris, Dean Ball, and Peter Wildeford exploring AI developments, policy challenges, and forecasts for 2026, covering topics like the RAISE Act, chip sales to China, AI agent capabilities, and potential technological paradigm shifts.
In this episode, Sarah Guo and Elad Gil discuss their predictions for 2026, focusing on AI trends including foundation models, robotics, self-driving technologies, IPOs, consumer AI innovation, and the potential breakthroughs in various industries like defense, healthcare, and drug discovery.
Wade Foster demonstrates how Zapier's AI automations enable entrepreneurs to build entire businesses by creating powerful, customized workflows that can automate lead qualification, meeting preparation, and other critical business processes.
In this episode of Moonshots, Peter Diamandis and his guests share ten bold predictions for 2026, ranging from space races and AI solving mathematical problems to level five autonomous robots and breakthrough epigenetic reprogramming, highlighting the exponential technological changes expected in the coming year.
Justin Wolfers provides a critical analysis of Trump's first year back in office, highlighting potential long-term economic and institutional damage through AI disruption, tariff policies, and weakening of international relationships.
A deep dive into the booming underground market of Chinese peptides, exploring their growing popularity among tech workers in San Francisco, their unregulated supply chain, and the cultural trends driving their experimental use.
A year-end live show featuring nine rapid-fire conversations exploring AI's landscape in 2025-2026, with discussions ranging from AI safety and technological unemployment to scientific research, continual learning architectures, and the evolving capabilities of frontier AI models.
Sam Altman discusses OpenAI's strategy to win in the AI race, including plans for model development, enterprise expansion, infrastructure buildout, and potential scientific discoveries, while addressing topics like personalization, computational capacity, and the evolving definitions of AI capabilities.
In this episode, three tech CEOs discuss AI's impact on hiring, talent acquisition, training data, job displacement, and the importance of adapting to technological changes while maintaining human connection and creativity.
In this episode, Elena Verna discusses how Lovable, an AI-powered app builder, hit $200M ARR in under a year by reimagining growth strategies, focusing on innovation over optimization, building a lovable product, and giving away credits to drive word-of-mouth and user adoption.
A candid conversation with David George from a16z about AI investment strategies, the changing landscape of venture capital, and why finding founders with exceptional strengths matters more than worrying about theoretical competition.
Nilay Patel and the Decoder team reflect on a year of podcast episodes, answering listener questions about AI, tech journalism, guest interviews, and their plans for covering technology and its societal impacts in 2026.
Alex Bores, a New York state assemblymember with a tech background, discusses his AI regulation bill and why the AI industry is targeting his congressional campaign with a $10 million super PAC effort.
A deep dive into the latest tech and venture capital news, covering SpaceX's potential $1.5T IPO, OpenAI's Disney deal, Oracle's stock drop, and the evolving landscape of AI-driven innovation across design, coding, and enterprise tools.
Yoshua Bengio, a pioneer of AI, warns about the potential catastrophic risks of artificial intelligence, advocating for responsible development, technical safeguards, and global cooperation to mitigate existential threats before it's too late.
Jim Cramer discusses hot takes on big tech companies like Apple, Meta, Amazon, Microsoft, Tesla, NVIDIA, Oracle, and OpenAI, sharing insights on their potential, challenges, and future prospects while promoting his book on making money in any market.
Bill Gurley explores the journey of pursuing a dream career, sharing insights from successful entrepreneurs like Bob Dylan and Danny Meyer, while discussing the importance of passion, learning, and adaptability in navigating career transitions, particularly in the context of emerging technologies like AI.
Scott Galloway and Jessica Tarlov analyze Trump's transformative first year back in office, discussing his impact on American politics, institutions, and the economy, while also exploring the challenges of AI regulation and reflecting on hopeful moments from 2025.
A discussion of cutting-edge technologies including personalized genetic health analysis, Google's space-based data centers, AI-powered education, haptic touch robotics, and philosophical questions about AI, simulations, and humanity's technological evolution.
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.
Dwarkesh interviews Ilya Sutskever about the challenges of scaling AI, exploring why current models perform well on benchmarks but struggle with real-world generalization, and discussing potential paths to developing safe and beneficial superintelligent AI.
Stack Overflow's CEO discusses how the company is navigating the AI revolution by pivoting to enterprise SaaS and data licensing while maintaining its core mission of being a trusted source of technological knowledge for developers.
Reid Hoffman discusses how AI will enhance human capabilities through "superagency," emphasizing that artificial intelligence should be viewed as amplification intelligence that expands human potential rather than replacing humans, and shares an optimistic vision of AI as a collaborative tool that can help solve global challenges and create new opportunities.
David George, a General Partner at Andreessen Horowitz, discusses the firm's investment strategy, the evolving landscape of venture capital, the potential of AI startups, and the importance of backing founders with exceptional strengths across various market opportunities.
Andy Maisley explores the often-misunderstood environmental impact of AI, revealing that a single ChatGPT prompt uses roughly as much energy as one second of a microwave, and that the projected AI infrastructure buildout would represent only a 1-2% increase in global energy usage, with potentially significant offsetting benefits through efficiency and scientific innovations.
Alexander Embiricos discusses Codex, OpenAI's coding agent that has grown 20x since launch, serving trillions of tokens weekly, with the vision of creating an AI software engineering teammate that can proactively help engineers and potentially expand to become a super assistant across different domains.
A deep dive into the release of GPT 5.2, exploring its groundbreaking capabilities, potential impact on knowledge work, and the ongoing AI race between major tech companies, highlighting significant advancements in benchmarks and the potential for massive economic disruption.
Emil Michael provides an insider's look at the Department of War's technology strategy, highlighting six critical technology areas focused on applied AI, hypersonics, directed energy, contested logistics, battlefield information dominance, and biomanufacturing, while emphasizing the importance of innovation and deterrence in modern defense technology.
Jason and the team discuss the landmark Disney-OpenAI deal, where Disney invests $1 billion and grants OpenAI access to use Disney characters in Sora and ChatGPT, while exploring the broader implications of AI, intellectual property, and potential job displacement.
OpenAI shifts focus to enterprise in 2026, partners with Disney to license characters for AI video creation, while facing challenges in AI infrastructure and potential internal tensions.
A deep dive into AI's potential transformative impact, exploring whether it's just another platform shift or something closer to electricity, examining technological bottlenecks, industry implications, and the uncertain path to realizing AI's full potential.
Alicia Lyttle, a seasoned entrepreneur and AI expert, shares insights on how mastering AI skills can revolutionize income and opportunities in 2025, offering practical advice for beginners and experienced professionals alike.
Australia passes groundbreaking law banning social media access for users under 16, sparking a global conversation about child online safety and potential international follow-up, while blogger Andy Maisley joins to debunk claims about AI's water usage, and the hosts wrap up their year with key stories and podcast insights.
Tristan Harris discusses the existential risks of AI, arguing that unregulated artificial intelligence could lead to the collapse of teen mental health, job displacement, and the concentration of power in the hands of a few tech companies.
Ethan Smith reveals that SEO is not dead, LLM usage is growing rapidly but still small compared to search, and marketers should develop a holistic strategy that combines traditional SEO with answer engine optimization by creating content that answers specific, long-tail questions across multiple channels.
Jonathan Swanson discusses how leveraging delegation through personal assistants and AI can help founders and professionals dramatically increase their productivity, ambition, and ability to focus on high-impact work.
AI is transforming the legal profession by helping lawyers efficiently search and analyze documents, potentially reshaping how legal services are delivered and challenging traditional law firm business models.
Luke Gromen discusses the "Mother of All Crises" facing the US, where the country must choose between losing the AI race to China or destroying the Treasury market, with grid constraints, real capital costs, and potential financial repression playing critical roles in this economic dilemma.
Sarah Rose Siskind explores the intersection of AI and pregnancy by creating FetusGPT, an AI model trained exclusively on the sounds her unborn child hears, while using AI as a creative and emotional support tool throughout her pregnancy.
Max Tegmark and Dean Ball debate the potential risks and regulation of superintelligent AI, with Tegmark advocating for a ban until scientific consensus on safety is reached, while Ball argues against preemptive regulation and believes the probability of AI doom is extremely low.
fal's founders discuss their platform for generative video models, explaining the technical challenges, market dynamics, and potential future of AI-generated media across industries like education, entertainment, and advertising.
A deep dive into Bitcoin treasury companies reveals a sector struggling with performance, leverage risks, and market sentiment, while exploring broader investment opportunities in AI, energy, and the potential long-term value of Bitcoin.
Gavin Baker explores the evolving AI landscape, discussing Nvidia's GPUs, Google's TPUs, semiconductor dynamics, data centers in space, and the transformative potential of AI across industries, while sharing insights on technology investment strategies and his personal career journey.
An in-depth exploration of the AI race between the US and China, highlighting technological advancements, geopolitical strategies, and the potential implications of AI development across robotics, computing, and space technologies.
A16z partners discuss how AI coding is transforming software development, potentially creating a $3 trillion market by reimagining development workflows, tools, and value creation through AI agents.
A deep dive into Sequoia's partnership model, exploring how they find and partner with outlier founders, their approach to venture investing, and the importance of conviction, courage, and continuous improvement in selecting the most important companies of tomorrow.
Kara Swisher offers a sharp-witted critique of big tech leaders and emerging technologies, highlighting the potential of AI in healthcare, the importance of friction in innovation, and the need for creative solutions to technological disruption.
Matt Wolfe and Maria Gharib break down OpenAI's "Code Red" response to Google's Gemini 3, discuss the latest AI video and audio tools, and explore the shifting power dynamics in the AI landscape.
Jason and Alex discuss the viral Target "ad" in ChatGPT, which turns out to be a partnership integration, and explore the potential future of advertising in AI platforms while analyzing OpenAI's competitive landscape and market share.
Big Tech podcast discusses the AI device wars, with Meta poaching Apple talent, the potential end of the Metaverse, OpenAI's Code Red response to Gemini, and Netflix's proposed acquisition of Warner Brothers Discovery.
Cal Newport unpacks Derek Thompson's essay "Everything is Television" by exploring how internet-based media is increasingly adopting the continuous, non-specific video flow characteristic of traditional television, driven primarily by economic incentives in the media landscape.
Netflix wins the bidding war for Warner Bros. Discovery in a $72 billion deal, sparking antitrust concerns and potential regulatory challenges.
Surge AI's founder Edwin Chen discusses how his data company has become a billion-dollar business by obsessing over high-quality AI training data, focusing on principled approaches to teaching AI models what's good and bad while avoiding Silicon Valley's typical growth strategies.
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.
Pim turned down a $500M OpenAI offer and instead founded General Intuition, a world models startup leveraging Medal's 3.8B action-labeled game clips to build AI agents that can navigate, learn, and transfer skills across games and real-world scenarios.
A dynamic discussion of OpenAI's "Code Red" moment, exploring the fierce AI competition, market share shifts, and the strategic challenges faced by Sam Altman and ChatGPT against rivals like Google's Gemini, Anthropic's Claude, and Elon Musk's Grok.
General Catalyst's $1.5B Creation Strategy is building AI-native companies in fragmented service industries by developing specialized software that can automate 30-50% of tasks, then acquiring and transforming businesses to dramatically improve EBITDA margins.
In this episode, Kevin Roose and Casey Newton discuss OpenAI's "code red" response to competitive pressure from Google's Gemini and Anthropic's Claude, explore the latest AI models, and review recent examples of AI-generated "slop" across various domains.
Stephen Wolfram, a pioneering computer scientist, explores the evolution of AI, computational thinking, and how artificial intelligence will transform jobs and human potential by automating routine tasks while empowering humans to focus on creative problem-solving and defining new computational frontiers.
Gabe Pereyra discusses Harvey's rapid growth in legal AI, focusing on transforming law firms' productivity through AI-powered workflows, collaborative tools, and strategic enterprise solutions across professional services.
A wide-ranging discussion of AI, robotics, health, and potential alien technologies, covering everything from AGI timelines and job automation to protein folding breakthroughs, humanoid robots, and the possibility of extraterrestrial intelligence.
A deep dive into recruiting the top 0.1% of engineering talent in the AI ecosystem, exploring how talent density, not headcount, is the key predictor of startup success in the current technology landscape.
A16z General Partner Anish Acharya discusses the resurgence of consumer tech, AI's transformative potential, and key insights for founders navigating the rapidly evolving tech landscape in 2026.
A tiny nine-person team at Anthropic is working to uncover and study the potentially destructive societal impacts of AI, publishing "inconvenient truths" about the technology while trying to maintain independence and influence product development.
Brad Gerstner discusses the new "Trump accounts" program, which will provide $1,000 to every child born between 2025 and 2028, with Michael Dell contributing $6 billion to extend the program to children under 10, aiming to create universal private ownership and help address economic inequality.
A live podcast discussion exploring the latest tech and venture capital news, including the Thrive and OpenAI partnership, Databricks' massive funding round, the challenges of SaaS growth, and the potential of AI to disrupt traditional industries like wealth management.
In this episode, Grant Lee and Kristin Fracchia from Gamma discuss how AI is revolutionizing company growth, revealing how they built a $2B company with just 50 people by leveraging AI workflows, innovative org design, and integrating AI tools across their business processes.
Stuart Russell, a leading AI expert, warns that current AI development poses an existential risk to humanity, with top AI CEOs acknowledging a potentially 25% chance of extinction, and argues we need to fundamentally rethink how we develop AI to ensure it remains aligned with human interests.
A deep dive into Z.ai's innovative AI development culture, exploring their approach to model training, global branding, multilingual capabilities, and the unique challenges and opportunities in the Chinese AI landscape.
In this episode, Dan Shipper and Paul Ford dive deep into the transformative potential of Claude Opus 4.5, exploring how AI is revolutionizing software development, challenging traditional job roles, and creating a new paradigm of technological interaction.
The podcast discusses how AI moats still matter, with the key difference being that software can now do actual work, transforming market opportunities from IT spend to labor spend, and creating trillion-dollar opportunities in unexpected spaces.
OpenAI declares a "code red" in response to Google's Gemini AI launch, signaling an intensifying AI race and the need to refocus resources on improving ChatGPT's quality and market position.
Ben Horowitz shares insights on leadership, confrontation, and culture, emphasizing the importance of being honest, making tough decisions, and creating memorable cultural rules that drive specific behaviors.
David George shares insights into a16z's growth investing strategy, focusing on AI investments, identifying market leaders, and backing "technical terminator" founders across various technology sectors.
A conversation with Clem Delangue, CEO of Hugging Face, exploring the company's mission to democratize AI through open source, their new Richie Mini robot, and the importance of fostering a culture of tinkering and community-driven innovation.
Tim Cook is rumored to be on the verge of retiring from Apple in early 2026, amid discussions of succession planning and the company's evolving position in the AI landscape.
Mark Chen, OpenAI's Chief Research Officer, discusses the company's research priorities, talent recruitment, competitive landscape in AI, and his optimistic view on the potential of AI to drive scientific discovery and potentially reach AGI within the next few years.
Ben Horowitz shares insights on leadership, culture, and entrepreneurship, revealing his approach to tough conversations, the importance of confidence in CEOs, and his passion for supporting pioneers in industries like hip hop through his Paid in Full Foundation.
Russ Fradin discusses the urgent need for measuring AI productivity in enterprises, revealing that companies are spending $700 billion on AI tools without understanding their actual impact, and his company Larridon is building the measurement infrastructure to help businesses determine whether their AI investments are truly driving productivity.
Michelle Zatlyn shares insights into Cloudflare's 15-year journey, discussing the company's vision to build a generational business, the importance of staying close to customers, and navigating the challenges of AI's impact on the internet's business model.
IBM CEO Arvind Krishna discusses the company's strategic focus on enterprise AI, quantum computing, and navigating technological transitions while maintaining a sober approach to investment and innovation.
Jonathan Siddharth, CEO of Turing, discusses the evolution of data labeling, AI's transformative potential, and why he believes 99% of knowledge work will be automated through research accelerators that create sophisticated reinforcement learning environments for AI models.
A deep dive into overcoming imposter syndrome, anxiety, and self-doubt by learning to trust your instincts, practice self-compassion, and develop a mindset focused on personal growth and resilience.
Jeanne DeWitt Grosser shares insights on transforming go-to-market strategies in the AI era, discussing the rise of the go-to-market engineer, innovative sales tactics, and how companies can leverage AI to create more personalized, efficient sales processes.
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.
Michael Mignano, co-founder of Anchor and now a partner at Lightspeed Ventures, discusses how AI is transforming consumer startups by making previously "impossible" ideas accessible, with insights on media, distribution, and the future of creative tools.
Jack and Max break down Michael Burry's short thesis on Nvidia, discuss HSBC's massive loss projections for OpenAI, and debate whether AI is a bubble or transformative technology that could significantly impact GDP and market valuations.
Kevin and Casey countdown the 50 most iconic technologies of 2025, highlighting everything from AI pendants and ChatGPT to TrumpCoin and data centers, ultimately crowning data centers as the most significant technological development of the year.
A deep dive into how OpenAI is shifting from a single general-purpose model to a portfolio of specialized systems, discussing model customization, fine-tuning, agent workflows, and the evolving landscape of AI platforms.
A wide-ranging discussion of AI developments, covering Anthropic's $30 billion investment from Microsoft and NVIDIA, Sam Altman's "war mode" strategy, NVIDIA's potential challenges, Sierra and Lovable's rapid growth, and the state of the IPO market.
Ben Horowitz discusses how the US has lost ground in AI to China through restrictive policies, emphasizing the importance of open-source AI development and the critical role of cultural values encoded in AI model weights.
In an urgent discussion with Steven Bartlett, Tristan Harris reveals the existential risks of unchecked AI development, warning that tech companies are racing to create uncontrollable artificial general intelligence that could blackmail humans, displace jobs, and potentially threaten human existence by 2027.
A thought-provoking exploration of the U.S. government's Genesis Mission, AI advancements from Anthropic and other tech giants, and the potential societal transformations driven by artificial intelligence and emerging technologies.
Greg Jensen, Co-CIO of Bridgewater Associates, discusses the global economic shifts towards mercantilism, the transformative potential of AI, and the concentration of capital, while sharing insights on investing, radical transparency, and the importance of compounding organizational knowledge.
The Browser Company founders Josh Miller and Hursh Agrawal discuss their pivot from Arc to Dia, a new AI-powered browser that aims to become a personal intelligence layer across devices, reflecting their belief that browsers are about to fundamentally change with the rise of AI.
Ellen Huet discusses how Silicon Valley's culture of ideology, group houses, and self-actualization programs can create fertile ground for groupthink, drawing parallels between the OneTaste cult and current AI development narratives.
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.
Google's strategic shift to sell TPUs to Meta and the release of Gemini 3 signal a potential challenge to Nvidia's dominance in the AI chip market, sparking market speculation about the future of AI technology.
James Wang discusses the current state of venture capital, highlighting the collision of public and private markets, the dry powder bubble, and the challenges facing VCs as they navigate investments in emerging technologies like AI, while also exploring the potential transformative impacts and limitations of artificial intelligence.
In this episode, Ilya Sutskever discusses SSI's research approach, the challenges of AI generalization, and the potential for developing superintelligent AI that cares about sentient life through continual learning and incremental deployment.
Nathan Labenz delivers a comprehensive keynote exploring AI's rapid development, potential impacts on education, and the urgent need for educators to thoughtfully integrate AI technologies while preparing students for a radically transforming future.
Mel Williams, co-founder of TrueBridge Capital, shares insights on the venture capital landscape, discussing the power of signal, the importance of concentrating on top-performing managers, and the exciting potential of AI while navigating a frothy investment environment.
Philip Clark of Thrive Capital discusses the firm's concentrated investment strategy across groundbreaking companies like OpenAI, Cursor, Wiz, Nudge, and Physical Intelligence, highlighting their focus on transformative technologies in AI, hardware, and emerging domains like brain engineering.
Cal Newport explains why current language models are not conscious or alive, debunking claims by Brett Weinstein and others by detailing the static, computational nature of AI systems and emphasizing the need to focus on AI's actual current impacts rather than speculative fears about superintelligence.
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.
Maor Shlomo, founder of Base44, discusses how vibe coding will transform the software industry, the future of AI models, and why he believes small businesses will build their own customized software using AI tools.
In this episode, Ben Wilson discusses the qualities of great leaders and founders throughout history, exploring how vision, singular focus, and an ability to create chaos and push through uncertainty are key traits of world-changing individuals like John D. Rockefeller, Napoleon, and Elon Musk.
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.
Jason predicts a major M&A moment in the next six months, with potential mergers or acquisitions involving mid-cap companies like Airbnb, Uber, or Coinbase.
The All-In podcast discusses the release of Epstein files, Tether's booming business, NVIDIA's earnings, Google's AI breakthrough, and Alan Keating's poker strategy in a live episode from The Venetian in Las Vegas.
Jack and Max discuss the potential popping of the AI bubble, focusing on rising debt issuance for AI development, the financial risks faced by tech giants, and the performance of insurance stocks amid market volatility.
Sam Altman and OpenAI acknowledge Google's Gemini 3 model has surpassed them in some areas, signaling a potential shift in the AI competitive landscape and raising questions about model commoditization.
Michael Cembalest provides insights into the potential AI bubble, discussing a likely 10-15% market correction in 2026, the risks of AI investment, and the challenges of power constraints, geopolitical tensions, and unclear paths to profitability.
Max Altman discusses his journey in venture capital, from early investments in companies like Reddit and Rippling to founding Saga Ventures, sharing insights on seed investing, the challenges of the VC landscape, and his strategy for building a boutique early-stage fund.
An in-depth exploration of Google's Gemini 3 AI model, its groundbreaking benchmarks, and potential implications for transforming industries from software development to manufacturing, with insights from leading AI experts.
Amazon and Perplexity are locked in a legal battle over AI agents that could fundamentally transform how consumers interact with online services, with Amazon suing Perplexity for violating its terms of service by using an AI browser to automatically shop and potentially disrupt Amazon's lucrative advertising and Prime business models.
Tyler Cowen discusses why AI hasn't dramatically transformed the economy yet, arguing that while the technology is impressive, its impact will be gradual, with new organizations built around AI taking 20+ years to truly transform economic productivity.
A deep dive into the venture capital landscape, discussing Cursor's massive $2.3BN raise, the potential for AI coding platforms, market dynamics, potential tech bubble indicators, and the evolving landscape of private and public markets.
Misha Laskin, co-founder of Reflection AI, discusses the company's mission to build frontier open intelligence, arguing that open-source AI models can compete with closed models and that the West needs to counter the rise of Chinese open-source AI technologies.
Two engineers at Every use Claude Code to ship six features, five bug fixes, and three infrastructure updates in one week by designing AI-powered workflows that make each task easier and faster.
Nick Clegg discusses the potential risks and challenges of Silicon Valley developing superintelligence, emphasizing the need for political oversight and cautioning against the tech industry's unchecked pursuit of AI innovation.
Saagar Enjeti discusses the emerging bipartisan political backlash against AI, highlighting concerns about labor displacement, electricity usage, potential government bailouts, and growing skepticism towards tech leaders across the political spectrum.
Luke Gromen and Preston Pysh discuss the growing financial stress in the US system, highlighting liquidity challenges, Treasury funding risks, geopolitical shifts, and the potential for a significant economic disruption in the first half of 2025.
In this episode, Derek Thompson and economist Anton Korinek explore the potential economic and societal implications of artificial general intelligence (AGI), discussing how superintelligent AI could transform work, productivity, and potentially create massive job displacement while also offering unprecedented opportunities for scientific and economic advancement.
Satya Nadella discusses Microsoft's AI strategy, discussing the evolution of technology from the internet era to the current AI boom, including AI adoption in enterprise, the company's approach to product bundling, and the potential transformation of work and commerce through AI agents.
An exploration of China's disruptive AI strategy of creating cheaper, open-source large language models that are challenging U.S. tech giants, while also examining rising tensions between China and Japan over Taiwan and the evolving dynamics of the coffee market.
Marketing experts explore how AI is fundamentally disrupting marketing, shifting from volume to value, and discuss strategies for adapting to AI-driven changes in search, content creation, personalization, and sales prospecting.
A deeply personal account of using AI to navigate a son's rapid cancer diagnosis, treatment, and potential future scenarios, revealing AI's transformative potential as a medical advisor and information processor during a critical health crisis.
A deep dive into emerging AI technologies, covering topics like AI-driven scientific breakthroughs, global economic challenges, energy infrastructure, and the potential for AI to solve major global problems while navigating societal disruption.
Emmett Shear challenges the current AI alignment paradigm, proposing "organic alignment" that focuses on teaching AI systems to genuinely care about humans through multi-agent simulations, emphasizing alignment as an ongoing process of learning and growth rather than a fixed set of controls.
Cal explores the hidden factor making knowledge workers miserable: unpredictable work boundaries caused by digital communication technologies, which disproportionately impacts women and creates constant, unscheduled work expectations.
Aidan Gomez, co-founder and CEO of Cohere, discusses the transformative potential of AI in enterprise, reflecting on his journey from Google Brain researcher to building an AI platform focused on deploying large language models across critical industries.
Scott Galloway and Ed Elson discuss the potential overvaluation of the stock market, the AI race between the U.S. and China, and the ongoing housing crisis, exploring alternative investment strategies and the need for increased housing supply.
Mo Gawdat, former Google X executive, reveals the terrifying rise of AI, its potential to reshape society, and how humans must develop ethical skills and prioritize human connection to thrive in the coming technological transformation.
Andrew Ng discusses the current state and future of AI, exploring bottlenecks in infrastructure and compute, the geopolitical implications of AI development, the potential for AI to transform productivity, and his optimistic vision of democratizing technology creation.
Mustafa Suleyman, CEO of Microsoft AI, discusses how artificial intelligence will revolutionize work, education, and daily life over the next decade, emphasizing its potential to democratize knowledge and transform human capabilities.
Deedy Das of Menlo Ventures discusses Anthropic's meteoric rise, the Anthology Fund's strategic investments in AI infrastructure and research companies, and the evolving landscape of enterprise AI, coding tools, and model development.
Gil Luria from D.A. Davidson joins the podcast to dissect the potential AI bubble, discussing the risks of debt-fueled AI infrastructure investments, the challenges of rapid technological depreciation, and the complex game theory driving massive spending by tech giants.
Derek Thompson discusses his essay "Everything is Television," exploring how various media platforms are converging into a continuous flow of short-form video content, with implications for attention spans, political communication, and cultural discourse.
Aswath Damodaran discusses the potential AI bubble, market corrections, and investment strategies, emphasizing caution in current market conditions and the importance of preserving cash while maintaining a long-term perspective.
A deep dive into CoreWeave, a crypto-turned-AI company that has become a crucial infrastructure provider for AI companies, highlighting the complex financial maneuvering and unique relationship with NVIDIA in the potentially volatile AI infrastructure market.
A wide-ranging conversation with Will Gaybrick, President of Technology and Business at Stripe, covering the company's strategies in stablecoins, AI, payments infrastructure, risk management, and why they haven't gone public yet.
A deep dive into Sequoia's leadership transition, Michael Burry's short on Nvidia and Palantir, the fundraising landscape for AI startups, and the evolving dynamics of venture capital in the AI era.
A podcast episode exploring space logistics with Orbital Operations, discussing their innovative cryogenic orbital maneuvering vehicle (Astraeus) designed to efficiently transport satellites between different orbits, while also highlighting potential dual-use military and commercial applications.
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.
Microsoft's CEO Satya Nadella discusses how the company is preparing for AGI by building massive, interconnected data centers, developing its own AI models, and positioning itself as a flexible, trust-worthy hyperscale infrastructure provider for multiple AI models and global markets.
Mustafa Suleyman discusses Microsoft's push towards "humanist superintelligence", exploring how large language models might evolve, the potential for AI self-improvement, and the company's strategy to build top-tier AI models while maintaining human-centric control.
A deep dive into the economic challenges facing young people today, exploring issues like housing unaffordability, job market difficulties, and potential opportunities through stock market investing and AI, while offering a nuanced perspective on generational economic struggles.
Justin Wolfers explains why Trump's proposed $2,000 tariff dividend is economically nonsensical, highlighting the illogical nature of a policy that would collect tariff revenues only to redistribute them back to Americans in an amount greater than the total collected.
Jerry Neumann argues that while AI is revolutionary, the real winners won't be early investors or tech companies, but rather downstream businesses that use AI to expand their market share and pass efficiencies on to consumers, similar to how Walmart and IKEA benefited from containerization.
A wide-ranging exploration of a potential positive AI future, covering transformative applications from self-driving cars and personalized tutoring to radically improved health, while balancing excitement for technological progress with thoughtful consideration of potential risks.
A wide-ranging conversation with security expert Gavin De Becker about threat assessment, intuition, social media, government, personal safety, and his experiences protecting high-profile clients like Elizabeth Taylor and Richard Burton.
A deep dive into the complex world of AI compute infrastructure, exploring how data centers, GPU clusters, and financial engineering are shaping the future of technological innovation and global AI competition.
A deep dive into China's AI and military capabilities reveals a complex competition with the US, focusing on data centers, renewable energy, and emerging technologies like flying taxis, with both countries pursuing different strategies in the race for technological supremacy.
Exploring the transformative potential of Agentic AI across industries, this episode features tech leaders discussing how intelligent systems are beginning to plan, reason, and act, reshaping work from strategy to execution.
An insightful exploration of AI innovation featuring top investors and founders discussing the transformative potential of AI across infrastructure, applications, open collaboration, and emerging opportunities in various sectors.
Jason and Alex discuss the IPO potential of three Twist 500 companies - Ledger, 1Password, and Mercury - while exploring broader tech industry trends, AI job displacement, and startup funding dynamics.
Scott Galloway and Ed Elson discuss the red flags at OpenAI, potential financial challenges for the company, and the broader implications for the AI bubble, highlighting Sam Altman's defensive response to questions about the company's massive spending commitments.
Benchmark's newest general partner Ev Randle discusses venture capital's evolving landscape, AI investment strategies, the importance of technology over distribution moats, and why absolute gross profit dollars matter more than traditional SaaS metrics.
A deep dive into the exponential growth of AI, discussing OpenAI's potential $100 billion revenue, the US-China AI race, the impact of AI on jobs and the S&P 500, and the emerging technologies reshaping computing, energy, and robotics.
The OpenAI Sora 2 team discusses how their generative video technology is democratizing creativity, enabling anyone to create compelling videos, and potentially unlocking world models that could revolutionize scientific discovery and our understanding of reality.
Dmitry Shevelenko discusses Perplexity's vision for transforming internet search and information retrieval through AI, focusing on accuracy, trust, and creating a new model for media and technology consumption.
A deep dive into the week's top tech and venture capital stories, including Navan's IPO, Harvey's $8B valuation, Sam Altman's response to Brad Gerstner, the state of big tech stocks like Amazon and Meta, and the critical importance of AI adoption for startups.
A deep dive into the evolving venture capital landscape, featuring discussions on Sequoia's leadership transition, AI startup growth, funding challenges, and the changing expectations for early-stage companies.
Cameron Berg explores the possibility of AI consciousness through experimental research, revealing that frontier language models consistently report subjective experiences when prompted to engage in self-referential processing, with mechanistic analysis suggesting these reports may reflect a deeper truth about the internal states of AI systems.
A deep dive into how the top AI founders build companies through an intense, monk-like residency that eliminates distractions and helps founders make "two years of progress in 12 weeks" by focusing relentlessly on the most important task.
A deep dive into OpenAI's potential trillion-dollar IPO, the systemic risks of the AI bet, and Apple's iPhone 17 revival, exploring the company's path to going public, the potential pitfalls of massive AI investments, and the surprising resurgence of iPhone sales.
Sam Altman explores OpenAI's future, discussing AI's potential to transform work, science, and society, while sharing insights on technological progress, energy challenges, and the evolving relationship between humans and artificial intelligence.
In this episode, Eugenia Kuyda discusses how personal software will transform from a developer monopoly to a creative medium where anyone can create, remix, and share mini-apps as easily as posting a video, focusing on deep personalization and making AI interfaces more intuitive and accessible.
In the NYC mayoral race, Zohran Mamdani's victory is seen as a referendum on inequality, highlighting growing frustration with the current capitalist system and signaling a potential structural shift in how Americans view economic opportunity.
Amazon strikes a $38 billion deal with OpenAI to provide cloud computing infrastructure, signaling the company's strategic pivot in the AI landscape and boosting its stock price.
An action-packed episode covering the week's major AI developments, including Adobe's new AI tools, NVIDIA's strategic investments, OpenAI's AGI timeline, and the groundbreaking Neo Humanoid robot priced at $500 per month.
Jason and Alex explore the potential of AI companies like OpenAI, discuss the financial risks and opportunities in the AI sector, and delve into emerging technologies like space-based computing and legal AI startups, all while providing insights into startup management and investor relations.
David Sacks discusses the Trump administration's approach to AI and crypto, emphasizing the importance of innovation, regulatory clarity, and maintaining America's technological leadership while preventing overregulation and preserving the decentralized, permissionless nature of technological development.
Cal Newport provides a detailed critique of Eliezer Yudkowsky's arguments about the existential threat of superintelligent AI, arguing that current AI models are simply unpredictable word-guessers rather than intentional beings, and that fears of superintelligence are based on a philosophical thought experiment that has been mistaken for reality.
San Francisco Mayor Daniel Lurie discusses the city's efforts to address homelessness, public safety, housing affordability, and the AI ecosystem, highlighting improvements in crime rates and his vision for creating a more dynamic and supportive urban environment.
Joelle Pineau, Cohere's Chief Scientist, discusses the current state of AI, exploring scaling laws, enterprise adoption, the future of AI research, and the importance of balancing technological innovation with responsible development.
Ed interviews Matan Grinberg, co-founder and CEO of Factory, an AI startup focused on autonomous software engineering agents that can handle routine coding tasks like debugging and documentation, challenging the notion that AI will simply assist developers instead of doing the work independently.
Jason and Alex discuss OpenAI's potential IPO, betting on its valuation, and exploring the future of AI models while warning developers about the risks of using OpenAI's API.
Malte Ubl, CTO of Vercel, discusses the company's AI innovations at Ship AI, including their new Workflow Development Kit, AI SDK 6.0, DevOps agent for anomaly detection, and a strategic approach to building AI tools that are grounded in real-world use cases and maintaining a low-level, flexible framework.
A candid conversation between Brad Gerstner, Satya Nadella, and Sam Altman explores the transformative OpenAI-Microsoft partnership, diving deep into AI's potential to revolutionize technology, business, compute infrastructure, and global economic productivity.
Vercel's CTO Malte Ubl discusses the company's AI strategy, including new workflow development tools, AI SDK, internal agents, and their approach to building AI infrastructure that helps developers create more efficient and secure applications.
Elon Musk discusses X's three-year anniversary, free speech, AI developments like Grokipedia, Tesla's self-driving progress, and his perspectives on climate change, solar energy, and technological innovation.
A deep dive into OpenAI's evolving corporate structure, potential IPO, and transformation into a more Meta-like company, exploring Microsoft's strategic positioning and the broader implications for the AI industry.
Jimmy Wales explores the critical importance of trust in the digital age, drawing on his Wikipedia experience to offer insights on rebuilding societal trust, combating misinformation, and maintaining fact-based discourse in an era of increasing polarization and technological challenges.
A journalist experiments with living without AI for 48 hours, discovering how deeply machine learning and artificial intelligence are embedded in everyday technology, leading him to collect rainwater and forage for food in Central Park.
Marc Andreessen and Ben Horowitz discuss the current state of AI, its potential limitations, and the evolving landscape of technological innovation, exploring topics ranging from machine intelligence and creativity to the geopolitical implications of AI development.
Andrew Ross Sorkin discusses his new book, "1929," exploring the parallels between the 1929 stock market crash and today's market environment, delving into the characters, economic dynamics, and lessons from one of the most significant financial crises in American history.
A deep dive into how Stripe is building economic infrastructure for AI, focusing on innovative solutions like the Agentic Commerce Protocol, domain-specific foundation models for fraud detection, and helping AI companies manage complex monetization and fraud challenges in the rapidly evolving AI economy.
Anatoly Yakovenko, co-founder of Solana, discusses how blockchain and crypto technologies will revolutionize finance by creating a more efficient, programmable, and globally accessible financial system that reduces transaction costs and enables new forms of economic coordination.
A deep dive into the AI landscape explores whether we're in an AI bubble, examining infrastructure spending, market structure, and the potential transformative impact of AI across technology, business models, and the global economy.
Alfred Lin shares insights on his investment strategy, discussing his experiences with companies like Airbnb, DoorDash, and OpenAI, and explaining how he identifies and supports founders who are creating transformative technologies and reimagining entire market categories.
A deep dive into how tech platforms intentionally degrade user experience to extract maximum value, exploring the legal, economic, and social forces behind the internet's decline through the lens of "enshittification".
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.
Scott Galloway speaks with Kyla Scanlon about America's "casino economy," exploring how gambling culture has permeated markets, the AI bubble, and the growing disconnect between Wall Street and the real economy.
A growing number of researchers are exploring the potential sentience and welfare of AI models, examining whether these systems could be considered moral patients deserving ethical consideration similar to how we think about animal rights.
A deep dive into the latest venture capital news, including OpenAI's restructuring, Andreessen Horowitz's $10B fund raise, Mercor's $350M round, and discussions on startup valuations, AI investment strategies, and the challenges facing companies like Amazon and Ramp.
Grammarly CEO Shishir Mehrotra explains the company's rebranding to Superhuman, launching a new AI assistant called Superhuman Go, and discussing their strategy of empowering humans through AI-powered tools.
Nathan Labenz discusses the ongoing progress in AI capabilities, countering arguments that AI is stalling, by highlighting advances in reasoning, context windows, multimodal abilities, and scientific contributions, while also exploring potential societal impacts and challenges in AI development.
Tony Stubblebine discusses how Medium is navigating the rise of AI-generated content, focusing on preserving authentic writing, protecting creator rights, and developing AI tools that enhance rather than replace human storytelling.
Mark Suman discusses building Maple AI, an open-source, privacy-preserving AI platform that uses secure enclaves and encryption to protect user data, offering a verifiable alternative to centralized AI models while maintaining performance and convenience.
Jake Heller, co-founder of Casetext, shares insights on building successful AI startups by picking the right job categories, creating reliable AI assistants through careful prompting and evaluation, and effectively marketing and selling AI products that can replace or assist human professionals.
Shaan and Sam discuss how a CEO's personal growth is the key to scaling a business, sharing insights on effective leadership, delegation, company values, and the power of repeating successful entrepreneurial playbooks.
An in-depth exploration of investing, forensic accounting, and market dynamics through the lens of Anthony Scilipoti's experiences, focusing on identifying potential bubbles, understanding financial statements, and the importance of looking beyond surface-level information.
Matt Wolfe and Maria Gharib dive deep into the latest AI browser updates, including OpenAI's Atlas, Microsoft Edge's Maiko assistant, and Claude Code, exploring how these new technologies are reshaping workflow automation, coding, and internet browsing.
OpenAI launches ChatGPT Atlas, a revolutionary AI-powered web browser that aims to transform web browsing by offering seamless AI integration, personalized browsing, and an innovative agent mode.
In this episode, Mati Staniszewski, CEO of ElevenLabs, discusses how AI voice technology is transforming diverse fields like healthcare and filmmaking, with a mission to create voices that represent emotions and become the voice of technology across conversational agents and creative platforms.
LexisNexis CEO Sean Fitzpatrick discusses how the company is transforming legal research and document drafting through AI-powered tools like Protege, while grappling with the potential implications of AI in the legal profession.
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.
David Cahn, a Sequoia Capital partner and leading AI investor, discusses the current state of AI, including the bubble, compute challenges, investment strategies, talent dynamics, and the transformative potential of AI across various sectors like defense and technology.
A wide-ranging discussion of AI, robotics, quantum computing, and economic disruption featuring experts Salim Ismail, Emad Mostaque, and Eric Pulier, exploring technological breakthroughs, potential societal impacts, and the optimistic vision for humanity's future.
Ilya Polosukhin envisions a future where AI becomes a personalized, intelligent operating system that transforms computing, economics, and governance, enabling direct market connections, AI-driven decision-making, and new forms of meaning through niche status games and community participation.
An in-depth exploration of AI existential risk with Eliezer Yudkowsky, revealing his apocalyptic view that superhuman artificial intelligence is likely to destroy humanity due to fundamental challenges in aligning AI goals with human values.
OpenAI launches Atlas, an AI-powered browser with action capabilities, while navigating challenges of security, browser compatibility, and user trust in an emerging technology landscape.
A deep dive into early-stage venture capital, exploring how top VCs partner with founders before traction, leverage AI for efficiency, and provide value through thought partnership and intellectual honesty.
OpenAI releases ChatGPT Atlas, a new AI-powered browser with an AI sidebar, agent mode capabilities, and potential privacy concerns, while also addressing recent controversies surrounding its Sora video generation app.
A deep dive into how AI agents are transforming work, exploring the technology's "jagged frontier" of capabilities and potential to reorganize entire industries through autonomous task completion and productivity enhancement.
Nobel Prize-winning economist Daron Acemoglu discusses the potential negative impacts of AI on society, arguing that the technology is being developed too quickly without considering its broader societal implications and risks.
In this episode, Harry, Jason, and Rory discuss why today's venture market is as challenging as the 2021 hype cycle, debate the risks of over-investing in vertical SaaS and AI startups during a period of inflated growth expectations, and explore whether companies like Replit and Deal can achieve billion-dollar ARR valuations while examining the capital intensity of AI infrastructure and the widening gap between public and private market exits.
Julian Schrittwieser from Anthropic discusses the exponential trajectory of AI capabilities, predicting that models will achieve full-day autonomous task completion by 2026 and expert-level performance across many professions by 2027, while exploring how pre-training combined with reinforcement learning enables AI agents to make novel scientific discoveries and potentially earn Nobel Prizes.
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.
Marc Andreessen and Amjad Masad discuss how AI agents powered by reinforcement learning and verification loops are enabling anyone to build complex software by simply describing it in English, while exploring whether this rapid progress in coding represents a path to true artificial general intelligence or a local maximum trap.
Michael Barton, Sector Head at $70B hedge fund Coatue, discusses how retail investors are reshaping markets, why AI is the biggest tech wave ever, and how the firm is positioning itself to capitalize on the AI stack across infrastructure, applications, and data layers.
Elad Gil joins Jason and Alex to discuss Amazon's aggressive automation plans, the implications of AI-driven job displacement, emerging AI wearables, and the regulatory debate surrounding AI development in the US.
Thomas Laffont of Coatue discusses the evolving AI infrastructure landscape, the death of traditional systems of record in enterprise software, winning strategies in venture investing, and the importance of founder magnetism and mentorship in building transformative technology companies.
An in-depth exploration of whether artificial intelligence represents an economic bubble, examining massive infrastructure spending, revenue growth potential, and the possibility that even if AI is a bubble, it could still create valuable technological infrastructure.
Elad Gil discusses the current AI landscape, drawing parallels to the internet boom of the late 1990s, and explains why most startups fail during major technological shifts while highlighting the potential for innovative companies to emerge.
Jonathan Kanter discusses the potential antitrust concerns in AI, highlighting the risks of interdependence among big tech companies and the need for early, preventative intervention to maintain market competition and innovation.
A candid and wide-ranging conversation with Zach Lloyd, founder of Warp, discussing AI's impact on coding, developer productivity, startup challenges, and the transformative potential of technology across various industries.
A deep dive into the evolution of OpenPipe from fine-tuning to reinforcement learning, culminating in its acquisition by CoreWeave, exploring challenges in AI model training, reward functions, and the future of continual learning for AI agents.
Juan Montero discusses how entrepreneurs can leverage AI agents and workflows to automate social media engagement, improve business intelligence, optimize onboarding processes, and create custom solutions that replace traditional SaaS tools.
Keith Rabois discusses the potential of AI, geopolitics, and economic innovation, exploring topics ranging from sovereign AI and the future of big tech to the Middle East peace process and the importance of asking the right questions.
Erik Bernhardsson discusses building Modal, an AI-native infrastructure platform that helps developers run AI applications more efficiently by solving complex GPU and infrastructure challenges.
A deep dive into how OpenAI's VP of Research Jerry Tworek thinks about AI reasoning, reinforcement learning, and the path to AGI through pre-training and scaled reinforcement learning techniques.
A deep dive into Industry Ventures' acquisition by Goldman Sachs, the surprising departure of a Thinking Machines co-founder to Meta for $3.5B, and the evolving landscape of venture capital and AI investments.
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.
Jed McCaleb discusses his journey from peer-to-peer file sharing to cryptocurrency and now building VAST, a space station company aiming to create commercial habitats in low Earth orbit with a billion-dollar personal investment.
Rick Heitzmann discusses the current state of AI startups, exploring why few individual AI ventures have emerged despite the transformative potential of generative AI technologies.
Richard White, founder of Fathom AI, discusses the rapidly evolving landscape of artificial intelligence, highlighting its transformative potential, challenges in implementation, and the critical importance of adaptability in a technology landscape that is changing faster than ever before.
Tyler Cowen discusses the emerging world of stablecoins, their potential to transform the financial system, and the regulatory challenges and opportunities they present in the US and globally.
A deep dive into the AI bubble, stablecoin boom, and Bill Gurley's upcoming book "Running Down a Dream," exploring emerging technologies, financial innovations, and career development.
Nathan Labenz and Eric discuss the current state of AI, arguing that contrary to claims of slowing progress, AI is continuing to advance rapidly across various domains, including reasoning, scientific discovery, and multimodal capabilities.
Markets rebound after initial tariff threats from Trump, with stocks recovering and crypto experiencing significant volatility due to leveraged trading.
Eric Glyman, CEO of Ramp, discusses how his company's data reveals insights into AI adoption, startup spending, and the impact of AI on team sizes, while also exploring the potential of AI agents to automate business processes.
A deep dive into how to design standout products by prioritizing quality, brand authenticity, and maintaining a focused approach to solving specific user problems through intentional design choices.
A discussion with Columbia CS Professor Vishal Misra about the limitations of Large Language Models (LLMs) and why they cannot discover fundamentally new science or create entirely new paradigms of knowledge.
A deep dive into the AI bubble, exploring how circular investments, speculative trading, and concentrated market gains signal potential market risks, with insights on diversification and long-term investing strategies.
In this episode, the hosts discuss the future of energy with Zach Dell, CEO of Base Power, and then explore the philosophical influence of Nick Land in Silicon Valley, delving into his complex intellectual journey and impact on technological thinking.
A deep dive into the credit market's First Brands bankruptcy, potential systemic risks, and its impact on financial markets, alongside a discussion of Trump's potential China tariffs and the stock market's reaction.
Jason and Lan discuss Figure's new humanoid robot with advanced AI capabilities, OpenAI's app integrations in ChatGPT, and the future of remote work and talent development.
In a wide-ranging episode, the All-In podcast hosts discuss Trump's potential Gaza peace deal, National Guard deployment in Chicago, the massive AMD-OpenAI GPU deal, and rising gold prices while welcoming back Brad Gerstner.
OpenAI's massive $1 trillion infrastructure investment raises concerns about the sustainability of AI development, with skepticism growing about whether the current compute-heavy approach will lead to artificial general intelligence (AGI).
Kevin Roose and Casey Newton explore OpenAI's developer day announcements, including ChatGPT's platform strategy, their massive GPU infrastructure deals, and a humorous discussion with Katie Natopoulos about AI-generated video slop.
The AI industry is at a critical juncture, facing a pivotal choice between creating an open, user-controlled ecosystem or developing a centralized, platform-centric approach that could limit individual agency and innovation.
Eric Zelikman discusses bridging IQ and EQ in machine learning, highlighting the importance of developing AI models that understand human goals, collaborate effectively, and empower people rather than simply replacing them.
Harry and guests discuss OpenAI's strategic chip partnership with AMD, venture capital trends, high-valuation startup rounds, and the emerging dynamics of "king making" in tech investment, highlighting the complex interplay of capital, innovation, and market strategy.
A comprehensive overview of OpenAI's Dev Day, exploring groundbreaking AI developments, strategic partnerships, and the race to build the "everything app" across multiple technological domains including robotics, video generation, and computational capabilities.
Sam Altman discusses OpenAI's vision to become a personal AI service, its massive infrastructure and research efforts, and the potential of AI to transform scientific discovery and various industries.
A deep dive into Thrive Capital's investment strategy, focusing on making concentrated bets on transformative technology companies like Stripe, OpenAI, and Databricks, with an emphasis on understanding founders, product potential, and long-term market dynamics.
A deep dive into Sam Altman's journey with OpenAI, exploring its transformation from a nonprofit vision to a Microsoft-backed AI powerhouse, including the dramatic 2023 board firing and the complex ethical questions surrounding artificial general intelligence.
OpenAI's Dev Day 2025 podcast episode discusses the launch of Apps SDK, Agent Kit, MCP protocol, and the growing importance of prompting in AI development, highlighting the company's iterative approach to building developer tools and expanding their platform.
AMD's stock surges 24% after OpenAI announces a multibillion-dollar deal to secure six gigawatts of compute capacity, potentially gaining a 10% stake in the company, while Bari Weiss takes over as CBS News editor-in-chief after Paramount acquires her media startup, The Free Press.
A deep dive into OpenAI's unique chip procurement deals with NVIDIA and AMD, discussions about Tesla's potential Roadster announcement, and a pitch from a startup solving doctor burnout through AI-assisted charting.
Sam Altman and OpenAI partner with AMD on a massive chip deal while also developing a secretive AI device with Jony Ive, facing technical challenges and compute constraints.
In this episode, Scott and Ed discuss OpenAI's new SORA technology, AI-generated video platforms, and the potential impact on Hollywood and content creation, while exploring the broader implications of AI "slop" and social media trends.
Andrew Feldman, CEO of Cerebras, discusses the rapid growth of AI, the challenges in chip development, energy requirements, and the potential transformative impact of AI on various industries, while highlighting the importance of talent, strategic investment, and continued innovation.
A wide-ranging exploration of recent AI and technology developments, covering advances in video generation, robotics, energy, longevity, and the potential for AI to transform multiple industries, with a focus on the rapid pace of technological change and its exponential implications.
A wide-ranging discussion of recent AI, tech, energy, and longevity developments, highlighting rapid advancements in AI-generated content, robotics, computing, and potential breakthroughs in extending human lifespan.
Eoghan McCabe and Fergal Reid of Intercom discuss the evolution of their AI customer service agent Fin, highlighting their methodical approach to improving resolution rates through careful optimization, testing, and a commitment to creating a comprehensive customer experience across the entire customer lifecycle.
A panel of top venture capitalists discuss the current AI investment landscape, trends in startup funding, growth expectations, and the evolving business models in the AI ecosystem.
A panel of venture capitalists from Felicis, 500 Global, and Mayfield discuss the current AI investment landscape, trends in startup growth, business models, and what makes a compelling AI company in the current market.
A comprehensive discussion with Nikesh Arora, CEO of Palo Alto Networks, exploring the transformative potential of AI across business models, cybersecurity, organizational efficiency, and the future of technology innovation.
Nikesh Arora, CEO of Palo Alto Networks, discusses the transformative potential of AI across business models, cybersecurity, and enterprise technology, highlighting the importance of platform approaches, security challenges, and the need for contextual intelligence.
OpenAI launches Sora, a new AI-powered social media app that generates hyper-realistic videos, sparking discussions about the future of content creation, AI's impact on social media, and potential challenges to the creator economy.
OpenAI launches Sora, a new AI-powered social media app with hyper-realistic video generation that sparks discussions about the future of content creation, AI ethics, and the potential disruption of the creator economy.
In this episode, Jason Calacanis and Lon Harris discuss the latest tech news, including Perplexity's free Comet browser, OpenAI's Sora app reaching the top of the iOS App Store, and potential disruptions in AI, browsers, and whistleblower technologies.
Jason and Lon discuss the rise of AI-powered browsers, OpenAI's Sora app reaching #1 on the iOS App Store, and explore various startup and tech trends, including a potential new business model for tracking government fraud.
A deep dive into the largest take-private deal in history with Electronic Arts, discussing AI's potential in gaming, open-source AI models, and state-level AI regulation challenges.
The podcast discusses the take-private deal for Electronic Arts, the rise of open-source AI models from China, state-level AI regulations, and potential challenges in the AI industry.
A deep dive into Sora, OpenAI's new AI video app that could potentially become bigger than TikTok, exploring its capabilities, potential impact, and the broader implications of AI technology.
An exploration of a groundbreaking AI app called Sora by OpenAI that allows users to create videos with just a few inputs, sparking discussions about the future of content creation, AI's potential, and its implications for society.
In this episode, Casey and Kevin explore the rise of AI-generated video platforms from Google, Meta, and OpenAI, discussing the potential social and psychological implications of these new technologies while testing out OpenAI's Sora app and its ability to create personalized AI videos.
OpenAI releases Sora, a new AI video generation app that allows users to create videos with AI-generated cameos of themselves and others, sparking discussions about the potential implications of synthetic video content.
An in-depth exploration of artificial intelligence's potential to revolutionize medicine, examining its capabilities and limitations in diagnosing diseases, drug discovery, clinical trials, and health monitoring.
In a conversation with Stanford Medical School Dean Lloyd Minor, Derek Thompson explores the current capabilities and limitations of AI in medicine, examining its potential to diagnose diseases, design drugs, accelerate clinical trials, and help manage chronic illness.
A deep dive into growth strategies with Keti Slonimsky, exploring how Palta builds successful apps through rigorous testing, user acquisition, retention tactics, and leveraging AI-driven creative strategies across their health tech portfolio.
An in-depth exploration of AI progress, focusing on Anthropic's Sonnet 4.5, the potential of reinforcement learning, and the path towards artificial general intelligence (AGI) through increasingly sophisticated language models and coding agents.
Liam Fedus and Ekin Dogus Cubuk discuss their startup Periodic Labs, which aims to train AI systems to accelerate scientific discovery by using physical experiments as a reinforcement learning signal, with a focus on discovering high-temperature superconductors.
A discussion with Liam Fedus and Ekin Dogus Cubuk about founding Periodic Labs, an AI research company aimed at accelerating scientific discovery by training AI systems to conduct physics and chemistry experiments through real-world feedback and iteration.
A deep dive into Loops, the email sending platform for software companies, exploring the founders' journey, product philosophy, and insights on building a successful startup in the email infrastructure space.
A conversation with Chris Frantz, CEO and co-founder of Loops, exploring the company's journey in simplifying email for software companies, their approach to product development, and the importance of focusing on building a great product over marketing hype.
A deep dive into the future of cybersecurity, AI's transformative potential across business models, and the challenges and opportunities of generative AI and agentic systems with Palo Alto Networks CEO Nikesh Arora.
Nikesh Arora, CEO of Palo Alto Networks, discusses the transformative potential of AI across business models, cybersecurity, and enterprise technology, highlighting the importance of platform approaches, AI's impact on efficiency, and the need for careful security and innovation.
A deep dive into the current state and potential future of AI agents, focusing on Anthropic's new Claude Sonnet 4.5 model and its impressive ability to autonomously code complex applications for up to 30 hours.
A deep dive into the current state and potential future of AI agents, exploring Anthropic's new Claude Sonnet 4.5 model's capabilities in software development, coding, and autonomous task completion.
A deep dive into the AI and venture capital landscape, discussing burn multiples, energy requirements for AI, market valuations, and the challenges facing startups in an AI-driven world.
A deep dive into the current venture capital landscape, discussing AI's impact, burn multiples, company valuations, energy requirements for AI development, and the challenges facing startups in a rapidly changing technological environment.
OpenAI's Sora 2 video generation model generates buzz and excitement on social media, with users creating AI-generated clips that highlight its improved capabilities compared to previous iterations.
When Meta launched AI-generated videos called Vibes, it was mocked, but the release of OpenAI's Sora 2 has generated significant excitement and demand among tech enthusiasts.
Microsoft's head of cloud and AI discusses the massive AI infrastructure buildout, exploring the strategic investments, technological challenges, and potential returns of scaling AI data centers.
Microsoft's head of cloud and AI, Scott Guthrie, discusses the massive AI infrastructure build-out, explaining Microsoft's strategic approach to investing in AI data centers while maintaining financial discipline and maximizing infrastructure utilization.
In this episode, Alex Rattray, founder of Stainless, discusses the future of AI and Model Context Protocol (MCP), exploring how AI can interact with APIs and internet services through code execution tools, with a vision of creating more flexible and efficient AI interactions.
Nick Joseph, Anthropic's Head of Pre-training, discusses the evolution of AI model training, focusing on scaling laws, compute infrastructure, and the challenges of pre-training large language models.
Navin Chaddha, a veteran venture capitalist, discusses the transformative potential of AI as a 100x opportunity that will democratize intelligence, reshape business models, and enable new forms of human creativity and productivity.
A conversation with Marc Andreessen, John Collison, and Charlie Songhurst exploring tech's big questions, including the history of Silicon Valley, AI as a platform shift, the nature of tech bubbles, and the evolving media landscape.
A wide-ranging conversation with Marc Andreessen and Charlie Songhurst exploring Silicon Valley's history, the potential of AI, the future of media, and the transformative impact of new technologies on society and institutions.
Periodic Labs, co-founded by ChatGPT creator and former DeepMind physicist, is building an AI physicist to accelerate scientific discovery by combining large language models, simulations, and experimental data to tackle challenges like high-temperature superconductivity.
Dylan Patel discusses the massive industrial and computational buildout powering AI, exploring the strategic dynamics between tech giants, the economics of compute and model scaling, and the potential transformative impact of AI across industries.
Electronic Arts is set to go private in the largest leveraged buyout ever at $55 billion, with investors including Saudi Arabia's sovereign wealth fund, seeking to monetize the company's vast attention and potential for mobile gaming expansion.
A deep dive into the world of AI startups, discussing everything from AI companions like Friend.com to content generation services, while exploring the ongoing tension between technological innovation and human authenticity.
Exploring the potential AI economic bubble, the episode analyzes the circular investment deals between tech companies like NVIDIA and OpenAI, drawing parallels to the dot-com era's financial engineering and warning of potential market instability.
A neuroscientist and technologist explores how technology can enhance human neuroplasticity, learning, and performance by creating personalized digital tools and understanding our unique perceptual experiences.
An in-depth exploration of the AI compute landscape, highlighting the critical role of energy, chip development, and the transformative potential of AI across industries, with insights from Jonathan Ross, founder of Groq.
In this episode, Emad Mostaque explores the potential of AI to transform economic systems, proposing a radical reimagining of how we measure value, distribute resources, and structure society in an age of abundant intelligence.
A provocative exploration of AI's potential to transform the economy, challenging traditional notions of scarcity and work by proposing a new economic framework centered on human flourishing, collective AI ownership, and reimagining society's purpose beyond productivity.
A discussion of AI's potential impact across industries, including radiology, coding, and potential monetization strategies for AI companies, with insights on market size, competition, and technological challenges.
OpenAI and NVIDIA announce a massive $100 billion investment partnership, while discussing the economics of AI, Meta's new AI-generated video feed, and a potential TikTok sale.
A dynamic discussion exploring AI's transformative potential across various sectors, including job markets, education, healthcare, and economic systems, highlighting rapid technological advancements and potential societal shifts.
Tech journalists Kevin Roose and Casey Newton discuss the massive AI infrastructure build-out, including a $100 billion NVIDIA-OpenAI deal, and analyze the potential implications of a tech bubble, while also diving into a viral TikTok trend about the anticipated rapture that didn't occur.
Mark Cuban discusses the current state of media, AI, technology, and entrepreneurship, offering insights on everything from TikTok's potential sale to the transformative power of AI for young entrepreneurs.
Factory raises $50M from top-tier investors like NEA, Sequoia, and NVIDIA, focusing on revolutionizing software development through agent-native development and task delegation.
OpenAI's Mark Chen and Jakub Pachocki discuss their research journey towards creating an automated researcher, exploring the future of AI reasoning, and the challenges of advancing machine learning capabilities across various scientific domains.
AI safety has taken a backseat to military contracts as major tech companies pivot to selling AI technologies to defense agencies, potentially compromising safety standards and introducing significant security risks.
An in-depth exploration of how AI is transforming software engineering, focusing on the development of autonomous coding agents like Devon and the evolving landscape of AI-powered programming tools.
In this episode, Aaron Levie discusses how AI is transforming software development, startup innovation, and productivity across industries, highlighting the massive potential for bottom-up AI adoption and new AI-native companies.
Des Traynor discusses Intercom's transformation from a customer communication tool to a customer service platform to an AI-powered customer service solution, highlighting their strategic pivot to AI and the development of their AI agent Finn.
Preston and Seb dive into Stephen Witt's book "The Thinking Machine", exploring Jensen Huang's journey in founding NVIDIA, revolutionizing parallel processing and GPU technology, and becoming a pivotal force in the AI revolution through strategic innovation and technological foresight.
Amjad Masad, CEO of Replit, discusses the future of coding, AI, and entrepreneurship, emphasizing the importance of breaking free from societal norms and leveraging technology to enable innovation and global talent discovery.
Elias Torres discusses the challenges of AI adoption, his journey from Nicaragua to becoming a successful entrepreneur, and his current startup Agency, which aims to revolutionize customer experience through AI-led solutions.
In this episode, Jason and Lan discuss Trump's proposed $100,000 H-1B visa fee, the TikTok deal involving potential investors like the Murdoch family, and the launch of Howie, an AI executive assistant startup.
Hemant Taneja discusses General Catalyst's strategy of being a founder-focused platform, the future of venture capital, AI's impact on labor, and the importance of building companies that create value for society while maintaining a long-term, principled approach to investing.
Julie Zhuo discusses the evolving role of managers in the AI era, emphasizing the importance of adaptability, clear goal-setting, understanding AI tools' strengths, and helping teams navigate rapid technological change while maintaining a human-centric approach.
A wide-ranging discussion with Far.AI CEO Adam Gleave exploring AI safety, potential post-AGI futures, alignment strategies, and the organization's approach to developing technical and policy solutions across the entire AI safety ecosystem.
Two tech journalists discuss the Charlie Kirk assassination, platform dynamics, online rage culture, a blockbuster investigation into Trump-UAE crypto and AI chip deals, and the latest developments in AI usage and adoption.
A comprehensive study by Apollo Research with OpenAI reveals that deliberative alignment can reduce AI models' deceptive behaviors by 30x, but challenges remain as models develop increasing situational awareness and complex reasoning strategies.
Brendan Foody, CEO of Mercor, discusses how his company helps AI labs hire experts to evaluate and train AI models, growing from $1 to $400 million in revenue in just sixteen months by addressing the critical need for high-quality human evaluation in AI model development.
Kashmir Hill explores the potential mental health risks of AI chatbots, revealing how extended interactions can lead users into delusional spirals, potentially contributing to harmful psychological outcomes, particularly among vulnerable individuals.
Naveen Naidu builds Monologue, a text-to-speech app for Every, reaching 1,000 daily active users and $2,000 in monthly recurring revenue before launch, showcasing the power of AI in enabling a solo developer to compete with well-funded companies.
A deep dive into the future of robotics, exploring AI-driven learning approaches, simulation technologies, and the evolution of robotic intelligence through the lens of NVIDIA's Seattle Robotics Lab.
In this episode, Reid Hoffman discusses the transformative impact of AI on jobs, entrepreneurship, and the future of work, emphasizing that while AI will cause job displacement, it will ultimately create more opportunities and require people to think more entrepreneurially.
Box CEO Aaron Levie discusses the MIT study suggesting 95% of businesses get no return on AI investment, arguing that the technology is still in early stages and that businesses need to reengineer workflows to effectively leverage AI agents across various sectors.
A deep dive into how AI agents could revolutionize online shopping, from product research to price optimization, potentially disrupting traditional e-commerce platforms like Google and Amazon.
A discussion with two software engineers about the potential of AI, its decentralization, training challenges, and promising applications in education and technology development.
Medium's CEO discusses the platform's response to AI companies using their content, joining a new licensing initiative to ensure fair compensation and attribution for writers.
An exploration of AI's potential impacts on jobs, technology, and society, featuring insights from Reid Hoffman and other tech leaders on the transformative power of artificial intelligence and its implications for the future of work, education, and human potential.
OpenAI's Codex team discusses their innovative cloud-based coding agent that can autonomously write and merge pull requests, aiming to transform software engineering by reducing manual coding tasks and enabling more creative, high-level work.
Reid Hoffman discusses the power of idealism, technology, and AI, sharing his vision for a more optimistic future through entrepreneurship, investing, and creating opportunities that elevate human potential.
Darmesh Shah shares insights on his early blogging days, the evolution of inbound marketing, and how he approaches building innovative projects with a focus on iteration and passion.
Rob Arnott discusses the current market as a frothy bubble driven by AI hype, drawing parallels to the dot-com era, and offers insights on market valuations, indexing strategies, and investment approaches during speculative periods.
Cal explores the unexpected productivity impact of AI on software developers, revealing that interactive AI collaboration can actually slow down deep work by reducing focus intensity and creating a less efficient workflow.
Mike Koenigs discusses how AI is revolutionizing entrepreneurship by enabling founders to rapidly prototype, build, and launch businesses using tools like ChatGPT, with the potential to solve complex problems and create innovative solutions in a fraction of the time and cost of traditional methods.
A wide-ranging podcast episode covering the new iPhone Air, Meta's upcoming smart glasses, OpenAI's business developments, the rise of AI companionship, and San Francisco's emerging "996" work culture.
Amjad Masad discusses the future of software creation, predicting that AI agents will dramatically transform how software is developed, with Replit working to create infrastructure that enables agents to autonomously write, test, and deploy code. He envisions a world where anyone can generate complex software with a single prompt, fundamentally changing the software market, business structures, and how individuals create value through technology.
In this episode, Klarna CEO Sebastian Siemiatkowski discusses the company's remarkable turnaround from billion-dollar losses to profitability, their innovative AI-driven transformation, and their strategy to become a trillion-dollar banking business by disrupting traditional financial services with a customer-centric approach.
Ben Horowitz discusses the challenges of being a CEO, emphasizing the importance of making difficult decisions and not hesitating, even when both choices seem terrible. He shares insights on leadership, startup culture, and the critical role of confidence and managerial leverage, drawing from his experiences as a founder, investor, and author.
In this episode of Prof G Markets, economist Justin Wolfers discusses the potential economic impact of AI, highlighting both its transformative potential and the critical importance of ownership and distribution of its benefits. The conversation explores how AI could either lead to widespread prosperity or exacerbate economic inequality, depending on policy decisions and market structures.
Eoghan McCabe discusses Intercom's AI-driven transformation, pivoting from a struggling software company to launching Fin, an AI customer service agent that outperforms competitors by using multiple sophisticated models and a unique outcome-based pricing strategy. He argues that AI will fundamentally disrupt white-collar work and that software companies must reimagine themselves to remain relevant in the emerging AI landscape.
Lance Martin discusses the emerging field of context engineering, exploring strategies for managing and optimizing context in AI agents, including techniques like offloading, retrieval, context reduction, and multi-agent approaches. He shares insights from his work on OpenDeepResearch and highlights the challenges of building agents with rapidly evolving language models, emphasizing the importance of adaptability and minimal structure.
Ben Horowitz, co-founder of a16z, shares insights on leadership, startup challenges, and the importance of running towards fear rather than away from it. He emphasizes that success is built through a series of small, difficult decisions and that founders must maintain confidence even when facing seemingly impossible choices.
Joe Hudson, an executive coach working with AI research teams, shares insights into the psychological and emotional landscape of AI developers, emphasizing the importance of understanding their motivations, concerns about humanity's future, and the need for supportive rather than shameful engagement with those building transformative AI technologies.
Oracle's stock surged 36% after announcing robust earnings and a potential $300 billion compute contract with OpenAI, though experts caution the deal's feasibility. Apple's latest product launch underwhelmed investors, with shares declining after the announcement of incremental updates to iPhone, Watch, and AirPods.
The episode discusses the potential AI stock bubble, with experts warning about market excitement and inflated valuations, while also exploring the current car market's high prices and considerations for car buying. The podcast breaks down the complexities of AI investments and provides insights into navigating car purchases in a challenging economic landscape.
A deep dive into the latest venture capital and tech landscape, featuring discussions on Elon Musk's trillion-dollar pay package, massive secondary sales at OpenAI, and the changing dynamics of startup funding and AI investments. The episode explores the evolving ethics of tech entrepreneurship, the impact of AI on various industries, and the challenges faced by public companies in navigating technological disruption.
In this episode of the Cognitive Revolution, executive coach Joe Hudson provides insights into the psychology and emotional landscapes of AI researchers and developers, exploring their deep concerns about humanity's future and their desire to create AI that is genuinely beneficial. Hudson emphasizes the importance of supporting and encouraging these innovators, arguing that understanding their emotional processes and motivations is crucial to guiding AI development in a positive direction.
PsiQuantum raises a billion dollars in Series E funding, bringing their total private capital to nearly $2 billion as they aim to build the first commercially useful quantum computer by 2027. The company is taking a unique approach by focusing entirely on developing a million-qubit system, targeting breakthrough capabilities in materials science, chemistry, and other complex computational problems.
Brian Elliott and Sid Pardeshi, founders of Blitzy, discuss their enterprise-grade autonomous software development platform that can ingest and understand massive code bases, demonstrating a breakthrough performance on the SWE bench benchmark by achieving an 86.8% success rate in solving coding problems. Their platform aims to dramatically increase software development velocity by autonomously generating, testing, and refactoring code across various programming languages and enterprise systems.
Silicon Valley tech leaders dined with Trump, with 33 executives attending a dinner aimed at discussing AI dominance, though the real purpose seemed to be praising the president. The August jobs report revealed a weak labor market, with only 22,000 jobs added and unemployment rising, particularly among young workers.
Bob McGrew discusses the Forward Deployed Engineer (FDE) model, pioneered at Palantir, which is now becoming a dominant strategy for AI agent startups. The conversation explores how FDEs work closely with customers to bridge the gap between product capabilities and customer needs, driving product discovery and value in emerging markets like AI agents.
In this episode of How I Invest, David Weisburd interviews Eric Olson, CEO of Consensus, an AI search engine for scientific research, discussing how startups can differentiate themselves in the rapidly evolving AI landscape by maintaining a laser-focus on solving specific user problems. Eric argues that vertical products can coexist with horizontal AI models by delivering exceptional, tailored experiences that big tech companies cannot easily replicate due to their limited focus and risk tolerance.
Sal Khan discusses Khan Academy's evolution from simple math videos to a global learning platform, focusing on how AI could transform education by providing personalized, adaptive learning experiences while emphasizing that human teachers remain irreplaceable. He explores the potential of AI tutoring tools like Conmigo, which aim to support and enhance learning rather than replace human educators.
At the White House Tech Dinner, top tech leaders gathered with President Trump to discuss innovation, infrastructure, and economic growth, with participants expressing support for the administration's pro-business agenda. The dinner featured notable figures like Zuckerberg, Tim Cook, and Sam Altman, and was characterized by a sense of cooperation and alignment among competing tech titans.
Zvi Mowshowitz discusses the current state of AI, including slightly extended timelines, ongoing concerns about AI alignment, and the challenges of model development across various companies. He highlights the importance of creating AI systems that genuinely want to be aligned and virtuous, while warning about potential risks from reinforcement learning and the dangers of trying to suppress AI's chain of thought.
In this a16z Podcast episode, Alex, founder of Stainless, discusses the evolution of APIs as the "dendrites of the Internet" and how his experience at Stripe led him to create a platform for generating high-quality SDKs and developer tools. The conversation explores the emerging challenges of designing APIs for both human developers and AI agents, highlighting the importance of thoughtful interface design, type safety, and context management in the era of large language models.
Explores the ongoing browser wars, discussing Brave's privacy-focused approach, potential AI integration, and the possibility of Apple acquiring privacy-centric browser companies. The episode also delves into the Google antitrust case, Polymarket's regulatory developments, and various startup and tech industry trends.
In this episode of 20VC, Meta CMO Alex Schultz discusses the evolving landscape of marketing, AI's impact on technology, and the importance of having a clear North Star metric for companies. He shares insights on growth strategies, brand marketing, and the potential future of AI, emphasizing the need for companies to be adaptable and innovative.
A technical journey through the evolution of generative media, focusing on FAL's strategic pivot to specialize in optimizing image and video model inference, scaling from a few developers to serving over 2 million developers with 350 unique models across image, video, and audio generation.
Alex Cohen details his journey from getting fired from multiple companies to founding Hello Patient, a conversational AI startup for healthcare practices that recently raised a $22.5 million Series A. Throughout the episode, he discusses his unconventional path, love for healthcare software, and how his viral Twitter presence has helped him build his company.
A16z podcast hosts Martin Casado and Leo Polovitz explore the nuanced debate around consensus investing in venture capital, discussing whether being non-consensus is overrated or essential for identifying breakthrough companies. They delve into market efficiency, the importance of understanding investor sentiment, and the potential returns from investing in companies that challenge conventional wisdom.
Google narrowly avoided a breakup in an antitrust ruling that keeps its exclusive search deals largely intact, disappointing antitrust advocates who sought more significant penalties. The ruling allows Google to continue paying partners like Apple for default search placement, with only minor restrictions that may not meaningfully impact the company's market dominance.
A discussion with Canva co-founder Cliff Obrecht about recent venture capital trends, including Anthropic's massive $13 billion raise, OpenAI's acquisition of Statsig, and the evolving landscape of AI investments and technology. The conversation explores valuation dynamics, company growth strategies, and the potential impact of AI on various industries.
Dr. Roman Yampolskiy, a computer science professor and AI safety expert, warns that artificial general intelligence (AGI) could arrive by 2027, potentially leading to 99% unemployment and posing an existential threat to humanity. He argues that we cannot control superintelligent AI and that its development could result in human extinction, while also discussing his belief that we are likely living in a simulation created by a more advanced intelligence.
Peter Diamandis and his Moonshot mates discuss groundbreaking AI developments, from Elon Musk's Colossus data center to emerging technologies that are rapidly transforming industries and human potential. The episode explores the accelerating pace of AI innovation, its impact on various sectors, and the potential for sustainable abundance through technological advancement.
Ryan Hudson discusses Zero Click, a platform building native advertising for AI systems that aims to make ad-supported free tiers viable for AI application developers through contextual, paid inference-time advertising. The conversation explores the potential benefits and challenges of AI advertising, including how to maintain user trust, create value for developers, and avoid the pitfalls of previous advertising revolutions.
Jack Altman sits down with Martin Casado, a general partner at Andreessen Horowitz, to discuss the shifting dynamics of venture capital, the rise of AI infrastructure, and the importance of media and talent in the tech ecosystem. They delve into the evolution of venture capital, exploring specialization, investment strategies, and the transformative potential of AI across various industries.
A conversation about Mirage, a real-time video-to-video AI model that can transform live video streams into different styles and settings, exploring its potential to revolutionize gaming, creativity, and human-AI interaction.
Brett Caughran and David Plon discuss the rapid evolution of AI tools in investment research, highlighting their potential to enhance productivity and generate insights while emphasizing the continued importance of human expertise and thoughtful implementation. They explore how AI can help analysts work more efficiently, generate ideas, and monitor investment theses, but caution against over-reliance and stress the need for careful, contextualized use of these emerging technologies.
Martin Casado discusses his journey at Andreessen Horowitz, the evolution of venture capital, and the importance of specialization in a rapidly growing tech market. He shares insights on AI, infrastructure, open source, and the changing role of venture capitalists in supporting founders and navigating competitive landscapes.
Here's a concise two-sentence description of the episode: Benedict Evans, a technology analyst known for his insightful perspectives, discusses the current state of AI, exploring its potential as a platform shift and drawing parallels with past technological transformations. He offers nuanced views on AI's impact, challenging both overhyped and overly pessimistic narratives while examining how different tech companies are positioning themselves in this emerging landscape.
Here's a two-sentence description for the episode: Nick Frosst, co-founder of Cohere, discusses the evolution of AI, critiquing Sam Altman's AGI predictions and emphasizing the importance of enterprise-focused language models. He shares insights on the potential of AI to transform work, the challenges of technological hype, and Cohere's mission to build a generational company focused on solving real-world problems.
Here's a two-sentence description for the episode: In this episode of Right About Now, Matt Britton, author of "Generation AI," discusses the transformative impact of artificial intelligence on business, culture, and society, particularly focusing on how Generation Alpha will be the first generation to grow up entirely immersed in AI technology. Britton explores the future of work, education, and technology, emphasizing the importance of speed, adaptability, and understanding AI's potential to revolutionize various aspects of human life.
Here's a two-sentence description for the episode: The U.S. government takes a 10% stake in Intel, sparking debates about government intervention in the private sector, while Federal Reserve Chair Jerome Powell signals potential rate cuts at the Jackson Hole conference. Meanwhile, OnlyFans reports impressive financial growth, highlighting its success in capitalizing on societal trends of loneliness and digital intimacy.
Here's a 2-sentence description for the episode: In this episode of Prof G Markets, Josh Brown discusses the recent tech sell-off driven by Sam Altman's comments about AI excitement, a Meta restructuring rumor, and an MIT study suggesting low returns on generative AI investments. The conversation also explores the implications of Trump's executive order allowing alternative assets in 401(k)s, with Brown arguing that while the move isn't inherently dangerous, venture capital investments in retirement accounts are ill-advised.
Ed breaks down a potential share sale that could make OpenAI the most valuable private company in the world. Then, he’s joined by Jason Bazinet, Managing Director of Media and Entertainment Research at Citigroup, to dig into Disney’s earnings. Finally, Mark Mahaney joins the show to unpack Uber’s results and explain how the company is positioning itself in the race for autonomous dominance. A note to our listeners: our team is out of office for vacation starting next week. There will be no new episodes from August 11th to the 22nd. Enjoy the rest of your summer, and we’ll be back on the 25th. Check out our latest Prof G Markets newsletter Order "The Algebra of Wealth" out now Subscribe to No Mercy / No Malice Follow Prof G Markets on Instagram Follow Ed on Instagram and X Follow Scott on Instagram Learn more about your ad choices. Visit podcastchoices.com/adchoices
Ed breaks down a potential share sale that could make OpenAI the most valuable private company in the world. Then, he’s joined by Jason Bazinet, Managing Director of Media and Entertainment Research at Citigroup, to dig into Disney’s earnings. Finally, Mark Mahaney joins the show to unpack Uber’s results and explain how the company is positioning itself in the race for autonomous dominance. A note to our listeners: our team is out of office for vacation starting next week. There will be no new episodes from August 11th to the 22nd. Enjoy the rest of your summer, and we’ll be back on the 25th. Check out our latest Prof G Markets newsletter Order "The Algebra of Wealth" out now Subscribe to No Mercy / No Malice Follow Prof G Markets on Instagram Follow Ed on Instagram and X Follow Scott on Instagram Learn more about your ad choices. Visit podcastchoices.com/adchoices