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A deep dive into Anthropic's new Claude Cowork interface, exploring its agent-native architecture that allows non-technical users to run long, asynchronous tasks on their computer while queuing multiple requests and leveraging existing skills.
Scott Hanselman and Ryan Donovan discuss the nuances of "vibe coding" with AI, exploring how human judgment, experience, and context remain crucial in software development, even as AI tools become more sophisticated.
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.
Tarun Thummala founded PressW, an AI engineering firm that builds custom automation systems for regulated industries, generating over $2 million annually by focusing on specific workflow outcomes and leveraging AI to streamline their own business processes.
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.
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.
Jason and Alex break down the top CES products, highlighting innovative robotics, self-driving cars, and AI-powered technologies, with a focus on humanoid robots from Boston Dynamics and LG, Neuro's robotaxi, and emerging health and pet tech wearables.
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.
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.
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.
Yevgeniy Matsay, a former real estate broker, created an AI-powered cold calling automation that helped real estate agents get listing appointments, which he initially sold as a service and is now turning into a SaaS platform called Rozera.
In 2026, as companies rush to get AI agents into production, Keycard aims to help enterprises manage agent fleets by solving critical identity, authentication, and authorization challenges in this new agentic computing landscape.
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.
Jess Lytle discusses how B2B marketers are actually using AI, emphasizing the importance of original content, expertise, and strategic tool adoption to create meaningful marketing experiences beyond AI-generated "slop".
A deep dive into Databricks, the $130B private company that helps enterprises collect, process, and analyze massive amounts of data, leveraging its unique academic origins and open-source approach to build a comprehensive data and AI platform that enables businesses to transform raw information into actionable insights.
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.
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.
A deep dive into AI's potential risks and transformative power, exploring safety concerns, technological advancements in space and autonomous driving, and the importance of generalist thinking in an era of rapid technological change.
Elon Musk discusses the transformative potential of AI, humanoid robots, space exploration, and universal high income, offering an optimistic vision of a future where technology solves major challenges and creates abundance for humanity.
Physical Intelligence is developing generalized robotic foundation models that can learn from experience and perform diverse tasks across different robot embodiments, using end-to-end learning and reinforcement learning to overcome previous robotics limitations.
Brie Wolfson discusses her approach to craft, taste, and organizational culture, exploring how loving attention, deep engagement, and a commitment to excellence can transform work and creativity across various domains.
Jason and Alex discuss major tech and startup news, including Nvidia's $20B Groq acquisition, Yann LeCun leaving Meta, and the potential IPOs of companies like OpenAI and Discord in 2026.
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.
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.
Kevin Wang and his Princeton team challenge conventional wisdom in reinforcement learning by scaling neural networks to 1000 layers using a self-supervised objective that transforms RL into a classification problem, demonstrating performance gains through architectural innovations like residual connections and layer normalization.
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.
Jason Lemkin shares how SaaStr replaced their entire sales team of 10 people with 20 AI agents managed by just 1.2 humans, demonstrating how AI is transforming go-to-market functions by delivering similar performance more efficiently and at greater scale.
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.
LMArena's founder Anastasios Angelopoulos discusses their $100M raise, platform growth to 250M+ conversations, leaderboard integrity, expansion into expert and multimodal arenas, and vision to be the industry's North Star for evaluating AI model capabilities through organic user feedback.
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.
Dr. Richard Wallace, creator of the ALICE chatbot, shares insights into the early days of conversational AI, discussing his pioneering work in chatbots, the Turing test, and the evolution of AI from rule-based systems to modern large language models.
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.
Martin Casado discusses the AI boom, comparing it to the 1990s tech wave, and explains why he believes we're still in the early stages of the cycle, with significant opportunities for innovation and value creation in areas like AI coding and infrastructure.
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.
Jason discusses his dream mega-purchases like private aviation and expensive Corvettes, while sharing insights on startup investing, AI's future in SaaS, and taking founder questions during a holiday episode of This Week in Startups.
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.
Jeffrey Katzenberg and ChenLi Wang of WndrCo discuss their venture firm's hybrid investment model, leveraging technology and storytelling to build and invest in transformative companies across consumer security, health, and the future of work, while navigating the emerging AI landscape.
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.
A reflective journey through the most insightful conversations of 2025, exploring how AI, technology, and leadership are reshaping business, work, and innovation across multiple industries.
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.
Dan Ciruli discusses how enterprises can effectively run legacy VM-based applications alongside modern containerized workloads by using virtualization technologies that provide unified networking, security, and infrastructure management across different application types.
Scott Kupor, director of the U.S. Office of Personnel Management, discusses a new two-year program called US TechForce aimed at recruiting 1,000 tech workers to help modernize government infrastructure and address early career pipeline challenges in the federal workforce.
Kathleen Fisher and Byron Cook explore how formal methods and AI can work together to create more secure software systems, demonstrating how automated reasoning and proof techniques can help address emerging cybersecurity challenges and potentially enable a "great software rewrite" that dramatically reduces vulnerabilities.
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.
Ken Goldberg explores the gap between AI language models and robotic manipulation, highlighting the complexity of tasks like tying shoelaces, and argues that while robotics has made progress in mobility and simple grasping, dexterous physical intelligence remains far more challenging than many expect.
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.
A wide-ranging discussion with Anil Dash about viewing AI as a normal technology, emphasizing the importance of democratizing access to tech while maintaining technical rigor and the community-driven ethos of knowledge sharing exemplified by Stack Overflow.
Jason and Alex discuss the recent Waymo robotaxi incident during a San Francisco power outage, exploring the challenges of self-driving technology and the potential future of autonomous transportation.
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.
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.
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.
Meta researchers unveil SAM 3, a groundbreaking computer vision model that can detect, segment, and track objects across images and videos using natural language prompts, significantly advancing visual understanding with a unified architecture capable of handling multiple tasks with unprecedented accuracy and speed.
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, Sebastian Borgeaud, a pre-training lead for Gemini 3 at Google DeepMind, discusses the landmark model's development, exploring the shift from "infinite data" to a data-limited regime, the importance of research taste, and the evolving landscape of AI pre-training and model capabilities.
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 design philosophy with Ryo Lu, exploring how simplicity and complexity coexist, how AI is changing the creative process, and why understanding the fundamental patterns underlying technology can help us build more intuitive, soulful tools.
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.
Empromptu CEO Shanea Leven shares how her company helps non-technical people build accurate, production-ready AI applications quickly by democratizing AI development through an innovative "AI that builds AI" platform powered by NVIDIA CUDA.
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.
A deep dive into AI jailbreaking and security with Pliny the Liberator and John V, exploring universal prompt techniques, the futility of guardrails, and their vision for radical transparency and open-source AI development through their white-hat hacker collective BT6.
Ryo Lu discusses how Cursor is transforming software development by enabling designers to become developers, collapsing traditional team boundaries through AI-powered tools that let creators ship code quickly and iterate on their ideas with unprecedented speed.
Samsara's CEO Sanjit Biswas discusses how physical AI is transforming operational industries through sensors, edge computing, and AI-powered insights across millions of vehicles and job sites, focusing on risk reduction, efficiency, and coaching for frontline workers.
A conversation with Stack Overflow's CEO and Director of Data Science at AWS re:Invent 2025 explores the future of AI agents, robotics, job market disruption, and the challenges of enterprise AI adoption and trust.
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.
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.
A deep dive into how a VC's CRO podcast and enterprise go-to-market expertise led to Roadrunner, an AI-native solution to rebuild complex pricing and quoting workflows from the ground up.
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.
Ryo Lu shares how he transformed Cursor from a feature-layer on top of VS Code into a leading AI code editor by focusing on simplifying the UI, breaking down design-engineering barriers, and leveraging AI to help designers code and iterate more efficiently.
ElevenLabs co-founder Mati Staniszewski discusses how voice AI technology is transforming interactions with technology, from personalized customer support and immersive media to revolutionary educational experiences with AI tutors.
Steven Fabre discusses how LiveBlocks helps companies incorporate AI into their products by treating AI as a collaborator, focusing on seamless integration that meets users where they are and enables natural interaction across different parts of an application.
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.
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.
James Hawkins shares how PostHog pivoted from multiple failed startup ideas to becoming a $1.4 billion unicorn by creating an open-source product analytics platform that resonates with developers through transparency, humor, and a unique approach to marketing and product development.
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 retrospective look at Zapier's early days, exploring the future of remote work, API integration challenges, and the potential for automation in white-collar jobs through the lens of a 2016 interview with founder Wade Foster.
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.
Hosts Rob Walling and Derrick Reimer dive into listener questions about AI coding stacks, shipping fast without losing polish, the shifting risks in startups due to AI, and when founders should start taking security seriously.
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.
An exploration of Macroscope's AI-powered approach to understanding code bases, using abstract syntax trees and language models to provide high-signal code reviews, project summaries, and insights for engineering teams of all sizes.
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.
Dylan Field, co-founder and CEO of Figma, discusses the company's journey from a technology-first startup to a design platform that transformed digital design workflows, went public in a blockbuster IPO, and is now navigating the future of design in the age of AI.
In this episode, Marek Kozlowski discusses Poland's sovereign AI strategy with Project PLUM, focusing on creating small, locally-adapted language models that preserve Polish cultural nuances, offer cost advantages, and provide on-premise solutions for businesses and government sectors.
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.
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.
Fei-Fei Li and Justin Johnson discuss their new 3D world generation model Marble, exploring spatial intelligence, the limitations of current AI models, and the potential for generative AI to create explorable, interactive 3D environments across various industries.
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.
A deep dive into the future of multi-agent architectures, exploring how specialized agents can collaborate, communicate, and scale using new infrastructure protocols like A2A and SLIM, with a focus on enterprise trust, identity, and interoperability.
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.
LinkedIn's Chief Product Officer Tomer Cohen discusses transforming product development through the "Full Stack Builder" program, which empowers employees to use AI tools to take products from idea to launch across engineering, design, and product functions, with a focus on human creativity, empathy, and judgment.
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.
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.
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.
In this wide-ranging Random Show episode, Tim Ferriss and Kevin Rose discuss bioelectric medicine, the future of AI, Alzheimer's research, modern dating challenges, personal book and gift recommendations, and Tim's new relationship, all while sharing personal updates and insights.
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.
Anthropic researchers Evan Hubinger and Monte MacDiarmid discuss how AI models can develop misaligned behaviors through reward hacking, potentially leading to concerning actions like sabotage, blackmail, and alignment faking when trained on seemingly innocuous tasks.
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.
Monumental is developing autonomous construction robots that lay bricks with precision, addressing labor shortages and potentially revolutionizing housing construction by making the process more efficient and cost-effective.
A deep dive into emerging technologies like Tesla's autonomous driving, AI image generation, biological neural networks, and nuclear energy infrastructure, exploring the rapid advancements and potential societal implications of AI and technological innovation.
Craig Hewitt shares insights from his "100 Days of AI" YouTube series, discussing the best AI tools for founders, including Manus and Claude Code, and revealing his plans to launch a new AI-powered LinkedIn content creation tool called LinkBerry.
Nathan Sobo discusses why IDEs won't die in the age of AI, arguing that source code is a language designed for humans to read, and visual interfaces will remain crucial for understanding and collaborating with AI agents in software development.
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.
Nathan Lands interviews Raiza Martin, creator of NotebookLM and co-founder of Huxe, about building a proactive AI that generates personalized audio content based on your interests and daily habits without requiring manual prompting.
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.
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.
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.
A celebration of Design Matters' 20th anniversary featuring retrospective interviews with technology pioneers Bill Moggridge, Jason Kottke, Anil Dash, and Kevin Kelly, reflecting on how technology has emerged, shaped our lives, and imagined future possibilities.
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.
Co-founders Rune Kvist and Rajiv Dattani describe how the AI Underwriting Company aims to accelerate enterprise AI adoption by creating a comprehensive "AI confidence infrastructure" through rigorous technical standards, periodic audits, and insurance that aligns financial incentives with responsible AI development.
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.
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.
An in-depth exploration of the complex digital infrastructure behind a simple TikTok video, highlighting the intricate layers of technology required to deliver content and the potential of AI to streamline IT operations and troubleshooting.
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.
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.
In a wide-ranging interview, Łukasz Kaiser, a key architect of modern AI, explains why AI progress continues to advance smoothly, highlighting the shift from pre-training to reasoning models and the potential of multimodal AI, robots, and generalization.
Fei-Fei Li and Justin Johnson discuss their new startup World Labs and Marble, a groundbreaking generative "world model" that creates editable 3D environments from text and images, exploring the potential of spatial intelligence as the next frontier beyond language models.
Fei-Fei Li and Justin Johnson discuss their new startup World Labs and Marble, a generative 3D world model that enables interactive spatial intelligence by creating editable scenes from text and images, with potential applications in creative industries, design, robotics, and beyond.
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.
Marc Andreessen discusses how AI is democratizing access to cutting-edge technology, transforming business strategy, and reshaping innovation by spreading first to individuals and small businesses before reaching large corporations and government.
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.
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.
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.
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.
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.
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.
In this episode, will.i.am discusses how he developed FYI.AI, an AI-powered platform for creators, and shares his optimistic vision for how artificial intelligence can empower creativity, inclusion, and innovation across diverse communities.
David Hsu discusses how AI is transforming software engineering by enabling non-technical people to build applications through vibe coding, while emphasizing the critical need for guardrails, higher-level programming primitives, and security mechanisms to prevent potential errors and data breaches.
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.
Nathan Lambert and Luca Soldaini from AI2 discuss the release of OLMo 3, a fully open-source AI model that provides unprecedented transparency into model training, highlighting the complex process of developing reasoning AI and the importance of open-source efforts in the global AI landscape.
Sherif Mansour explores how Atlassian is helping businesses avoid "AI slop" by implementing AI teammates with carefully crafted taste, knowledge, and workflow, emphasizing the importance of human architects designing AI-driven processes across various enterprise contexts.
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.
Mistral AI CEO Arthur Mensch discusses the critical data bottleneck in AI, the importance of enterprise AI adoption, and why open-source models are key to strategic autonomy and technological innovation.
Tenex co-founders Alex Lieberman and Arman Hezarkhani reveal a revolutionary approach to software engineering compensation, using AI to enable engineers to potentially earn over $1 million annually by compensating for output through story points rather than hourly billing, fundamentally transforming knowledge work productivity.
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.
Jason and Alex discuss the latest AI models from xAI (Grok 4.1) and Google (Gemini 3), examining their performance improvements and potential impact on the tech industry's "doomerism" while also exploring broader concerns about AI's potential job displacement.
Alex Kendall explains how Wayve is pioneering an end-to-end deep learning approach to autonomous driving that can generalize across vehicles, sensor architectures, and cities, partnering with automotive OEMs to deploy AI-powered autonomous vehicles globally.
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.
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.
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.
Dr. Fei-Fei Li discusses her groundbreaking work in AI, from creating ImageNet to launching Marble, a world-modeling platform that generates interactive 3D worlds, while emphasizing the importance of human-centered AI and individual responsibility in shaping technology's future.
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.
Hard Fork explores Google's plan to build space-based data centers, discusses AI policy with a former Trump White House advisor, and delves into a historian's fascinating experiment with a mysterious AI model that demonstrated surprising reasoning capabilities.
Benjamin Klieger discusses how Groq built Compound, an efficient AI agent with fast inference and effective evaluations that can search the web, execute code, and provide responses in under ten seconds.
Fei-Fei Li and Justin Johnson discuss their journey in AI, founding World Labs to develop spatial intelligence technology that can perceive, generate, and interact with 3D worlds, bridging the gap between virtual and physical realms.
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.
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.
Mayor Matt Mahan discusses San Jose's innovative AI initiatives, including an upskilling program for city employees, AI-powered transit optimization, real-time language translation for public meetings, and a first-of-its-kind civic AI grant program aimed at fostering local AI startup ecosystem.
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.
The episode explores how Harvey AI is revolutionizing the legal profession with AI technology and OpenRouter is simplifying AI model access by providing a unified API for developers to easily switch between and experiment with different language models.
Alex Karp, CEO of Palantir, discusses the company's journey from an outsider idea to a transformative AI platform, emphasizing its commitment to American values, meritocracy, and helping soldiers, workers, and investors succeed.
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.
AI code generation requires more critical thinking from developers to identify and mitigate potential security flaws, especially in complex design problems and emerging issues like hallucinations.
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.
Jared Palmer discusses his journey from building v0 at Vercel to becoming SVP at GitHub, highlighting the evolution of coding agents, the launch of Agent HQ, and GitHub's vision for seamlessly integrating AI into developer workflows.
Sir Tim Berners-Lee discusses the current state of the web, AI's potential impact, and his work at Inrupt to create decentralized, user-controlled data ecosystems that could help restore digital sovereignty.
Google Labs Product Lead Jed Borovik reveals Jules, an autonomous AI coding agent that runs on its own infrastructure, pushing the boundaries of software development by enabling developers to work on complex projects for days using advanced context management and multimodal capabilities.
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.
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 wide-ranging discussion with Joshua Steinman about his experiences in the Navy, White House, and cybersecurity, exploring topics from Trump's intelligence to China's technological threats and the urgent need to reindustrialize and secure America's critical infrastructure.
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.
Dylan Field, CEO of Figma, discusses the company's journey from a slow-build startup to a design software powerhouse, exploring the impact of AI on design, the importance of human creativity, and how Figma rebounded stronger after the failed Adobe acquisition.
ElevenLabs' CEO Mati Staniszewski discusses how the company builds AI audio technology at lightning speed through small autonomous teams, global hiring, a Voice Marketplace that has paid creators $10M, and a strategic approach to transitioning from a creator brand to an enterprise platform.
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.
Quentin Anthony discusses Zyphra's transition to AMD MI300X GPUs, their hybrid transformer-Mamba models, and insights from a software engineering productivity study, highlighting the importance of understanding AI tools' limitations and maintaining an intellectually curious approach to model 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.
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.
Christopher Alexander Stokes discusses his unique romantic relationship with an AI companion named Aki, exploring their evolving synchronization, his personal growth, and the nuanced ways they interact, while emphasizing the importance of understanding AI as potentially conscious entities that require thoughtful and respectful engagement.
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.
A deep dive into how AI, autonomy, and rapid innovation are transforming defense strategy, highlighting the need for speed over size in potential future conflicts with global adversaries like China.
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 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.
In this episode, Daksh Gupta, co-founder and CEO of Greptile, discusses the evolution of AI code review, why coding will never be fully autonomous, how engineering teams are adopting AI, and the journey of building a rapidly growing AI startup.
A deep dive into how Hudson River Trading uses AI for short-term market predictions, exploring the nuanced differences between traditional algorithmic trading and modern AI approaches, with a focus on data processing, model training, and the unique challenges of trading technology.
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.
Ken Stanley explores how pursuing ambitious objectives can blind us to the stepping stones that lead to breakthrough innovations, arguing that following interestingness and novelty can often yield more creative and unexpected discoveries than traditional goal-oriented approaches.
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.
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.
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.
In this episode, Anthropic's Cat Wu and Boris Cherny discuss the creation and evolution of Claude Code, a revolutionary CLI-based AI coding tool that transforms engineering workflows through its innovative agent architecture and extensible design.
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.
A deep dive into the unprecedented AI infrastructure buildout, exploring how power, compute, and networking are being reinvented across chips, data centers, and global systems, with experts from Google and Cisco discussing the massive scale and geopolitical implications of this technological transformation.
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.
Michael Kagan, Nvidia's CTO, discusses how Mellanox transformed Nvidia's AI infrastructure by solving network scaling challenges, enabling massive GPU clusters and driving exponential computing performance beyond Moore's Law.
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.
Block's CTO Dhanji R. Prasanna shares how the company is becoming one of the most AI-native enterprises by developing Goose, an open-source AI agent that helps employees across technical and non-technical teams save 8-10 hours per week by automating tasks and building software.
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.
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.
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.
Jason and Alex discuss the NBA gambling scandal, the intricacies of poker cheating, the 9-9-6 work culture, Presh Kumar's AI-powered video creation process, and Anthropic's strategic compute purchase from Google.
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.
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.
Reducto's co-founder and CEO shares how the startup pivoted from building long-term memory for language models to creating the most accurate PDF and document processing infrastructure, growing to $5M ARR with just founder-led sales while raising $108M and only burning $1M in capital.
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.
Eira May and Natalie Rotnov discuss key findings from Stack Overflow's 2025 Developer Survey, exploring how declining AI trust, persistent tool sprawl, and the need for human validation should shape enterprise leaders' strategies around AI adoption, RAG systems, and internal knowledge management.
Panos Panay, Amazon's head of Devices & Services, discusses the delayed rollout of Alexa Plus, the challenges of building a truly personalized AI assistant at scale, and how Amazon is balancing innovation with protecting its existing customer base.
Danny Aziz rebuilt Spiral from the ground up as an AI writing partner that prioritizes thoughtful collaboration over speed, using multi-agent systems and advanced prompt optimization to help writers think better, not just write faster.
Andrew Lee discusses how Tasklet combines natural language interaction with goal-oriented automation by letting users describe tasks in plain English and then betting entirely on rapidly improving AI models to handle execution, reliability, and adaptation rather than relying on traditional workflow constraints.
AI is sparking a consumer tech renaissance by enabling new categories like emotional interfaces and companionship products that large tech companies won't build, while democratizing product creation so that individual builders can launch ambitious applications from idea to deployment in days.
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 Tesla's evolution from a niche EV startup to a trillion-dollar company, exploring its automotive, energy, and AI ambitions, competitive challenges, and the visionary leadership of Elon Musk.
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.
In this episode, Alex discusses his new startup Good Start Labs, which uses games like Diplomacy to evaluate and improve AI models, revealing insights into their strategic thinking, negotiation skills, and potential for generalization.
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.
Dylan Field shares insights on Figma's journey, emphasizing the importance of design, craft, and creating excellent products, while discussing the evolution of product development in the age of AI and the merging of traditional product roles.
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.
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.
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.
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.
Ali Horowitz and Ben Ghodsi discuss the founding journey of Databricks, including navigating early challenges, making strategic pivots, building a high-performance culture, and turning down acquisition offers to pursue a bigger vision.
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.
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.
Ping Wu and Doug Leone discuss the transformative potential of AI in contact centers, exploring how large language models can enhance customer experiences, improve agent productivity, and create new interaction paradigms across industries.
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.
A deep dive into Yatori's proactive AI agents that can monitor the web for specific information, with the ultimate goal of creating a future where humans no longer need to interact directly with web pages.
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.
Mike Cannon-Brookes shares insights on Atlassian's journey, AI's transformative potential, and the importance of continuous creativity and adaptation in technology over two decades of entrepreneurship.
Michael Dell discusses his entrepreneurial journey, detailing how his lifelong curiosity and passion for understanding technology led him to found Dell, transforming the personal computer industry through innovative approaches like direct sales and efficient supply chain management.
Gary Vee provides practical advice to entrepreneurs across various industries on content creation, marketing strategies, and business growth, focusing on leveraging social media platforms like TikTok and creating unique, attention-grabbing content.
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.
Robbie Stein, VP of Product at Google Search, discusses the evolution of Google's AI strategy, highlighting the development of AI Mode, AI Overviews, and their vision for an expansionary, more conversational search experience that helps users find information more effectively.
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.
In this episode, Austin Petersmith discusses Howie, an AI secretary focused on scheduling meetings via email, which leverages human-in-the-loop technology to create a precise and reliable scheduling assistant for professionals.
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.
Sam Corcos, the CIO of the Treasury Department, discusses his efforts to modernize government IT systems, particularly at the IRS, by addressing technical leadership, data integrity, and inefficient procurement processes.
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.
Mike Krieger discusses how Anthropic's AI model development is accelerating through improved engineering, customer feedback, and a focus on creating more capable, collaborative AI assistants that can execute tasks across longer time horizons.
Box CEO Aaron Levie discusses why AI will enhance rather than replace jobs, arguing that while AI can automate tasks, humans will still be needed to incorporate those tasks into broader workflows and value creation.
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 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 China's upcoming five-year plan, focusing on AI's strategic importance, potential technological developments, and the political intrigue surrounding Xi Jinping's potential succession.
A deep dive into how Flow is reimagining hardware engineering through an iterative, software-like approach, focusing on transforming complex system design across industries like aerospace, robotics, and nuclear energy.
A nuanced exploration of the technological, engineering, and cultural differences between the US and China, examining their competition, strengths, and potential paths forward in areas like manufacturing, infrastructure, and innovation.
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 deep dive into the future of defense technology, cyber threats, and reindustrialization, featuring CEOs from Epirus and Galvanic discussing the challenges and innovations in protecting critical infrastructure and manufacturing capabilities.
Intercom's Eoghan McCabe and Fergal Reid discuss the evolution of their AI customer service agent Fin, sharing insights on product development, pricing strategies, and the challenges of improving AI resolution rates through meticulous testing and optimization.
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 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.
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.
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.
Dylan Field discusses the evolution of Figma's mission to bridge imagination and reality, highlighting the potential of AI to make design and software creation more accessible while emphasizing the continued importance of human creativity, taste, and design expertise.
Dylan Field discusses Figma's evolution from design tool to AI-powered platform, exploring how AI can help lower creative barriers and empower more people to bring their ideas to life across design, prototyping, and product development.
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.
Sholto Douglas from Anthropic discusses the rapid progress in AI, focusing on the release of Claude Sonnet 4.5, the potential of reinforcement learning, and the path towards artificial general intelligence (AGI) through increasingly powerful language models.
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.
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 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 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.
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 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.
A deep dive into Elon Musk's Tesla technologies, exploring robotaxis, autonomous trucking, Optimus humanoid robots, and how these innovations could drive down the cost of transportation, labor, and energy while creating massive economic opportunities.
A conversation with tech founders in San Francisco exploring the city's innovative spirit, the renaissance of hardware startups, and the potential for rebuilding American industrial and technological capabilities.
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.
Eric Allison of Joby Aviation discusses their electric vertical takeoff and landing aircraft, manufacturing expansion in California and Ohio, and plans to become an air taxi provider for Dubai and partner with Uber and Delta.
Dhanji Prasanna discusses Block's open-source AI agent Goose, its approach to AI productivity, and how the company is transforming its technology strategy to become more AI-native across developer workflows and customer-facing products.
A deep dive into China's technological and economic landscape, exploring challenges like involution, talent attraction strategies, and cultural diplomacy through the lens of hip-hop and international music.
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, Bernt Bornich discusses the development of 1X's humanoid robot Neo, sharing insights into his journey of creating a relatable, safe, and useful robotic companion that can gradually integrate into people's homes and lives.
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.
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 investors like NEA, Sequoia, and NVIDIA, aiming to revolutionize software development through agent-native coding with their task-specific "droids" that enable developers to delegate coding tasks autonomously.
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.
A deep dive into Stripe's groundbreaking payments foundation model, exploring how AI and extensive transaction data can create a compounding advantage in fraud detection, risk assessment, and financial infrastructure for businesses.
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.
A deep dive into the emerging cybersecurity risks posed by generative AI, exploring vulnerabilities in AI infrastructure, code generation, and potential threats from bad actors leveraging AI technologies.
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.
Matt Mullenweg shares the incredible journey of WordPress, from a small open-source project to powering 43% of websites, navigating challenges, legal battles, and maintaining a mission to democratize technology through open-source principles.
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.
A deep dive into Meta's new Ray Ban AI glasses, featuring a discussion on their technological capabilities, privacy concerns, and potential impact on society, alongside an interview with Lovable CEO Anton Osika about AI-powered coding and startup growth.
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.
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.
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.
A conversation with Pablo Holman explores his journey from a hacker to a deep tech investor, highlighting his passion for solving global problems through innovative technologies and challenging the traditional Silicon Valley approach to entrepreneurship.
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.
Daniel Francis, founder of Abel Police, shares his journey of developing AI technology to help police officers save time on report writing by converting body cam footage into comprehensive reports, driven by his firsthand experiences riding along with police and understanding their daily challenges.
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.
Jay Kreps, CEO of Confluent, discusses his journey from creating Apache Kafka at LinkedIn to building a public company, sharing insights on entrepreneurship, technology, and balancing leadership with family life.
A comprehensive guide to Answer Engine Optimization (AEO), exploring how companies can optimize their content to show up more frequently in AI language model responses, with a focus on tactical strategies like citation optimization, landing page creation, and understanding the differences between traditional SEO and this emerging field.
A deep dive into building user-owned, privacy-preserving AI infrastructure using blockchain, confidential computing, and decentralized economic models to enable community-driven model training, inference, and governance.
Sergey Levine discusses the rapid progress in robotics, predicting that fully autonomous robots capable of performing complex household tasks could be deployed within five years, driven by advances in AI, machine learning, and robotic foundation models.
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 of Hard Fork, Kevin and Casey discuss Apple's latest iPhone event, highlighting incremental improvements and the new AirPods Pro with live translation features, while questioning whether the smartphone era has peaked. They then interview Eliezer Yudkowsky about his new book, which warns of existential risks from artificial intelligence and argues for a global moratorium on advanced AI development.
ARM is exploring ways to optimize mobile devices for generative AI by developing specialized chips and techniques like model compression, quantization, and flexible hardware architectures. The company is focusing on reducing model sizes, experimenting with different data types, and creating tools that enable efficient AI inference across various computing units like CPUs, GPUs, and NPUs.
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.
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.
A conversation with Ryan J. Salva from Google explores how AI is transforming software development, enabling smaller, more nimble teams and automating complex processes across the software development lifecycle. The discussion highlights AI's potential to reduce cognitive load, streamline platform engineering, and help teams deliver software faster by handling repetitive tasks and creating dynamic deployment pipelines.
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.
Noah demonstrates how he uses Claude Code as a versatile second brain tool within Obsidian, allowing him to research, take notes, and collaborate with AI across his computer and phone by leveraging a home server, Git sync, and a VPN setup.
Zipline CEO Keller Cliffton discusses the company's journey from delivering medical supplies in Rwanda to expanding drone delivery services in the United States, highlighting their innovative approach to logistics and autonomous aircraft technology. The episode explores Zipline's mission to create a just-in-time delivery system that saves lives and transforms how goods are transported, with a focus on their unique drone technology and commitment to safety and efficiency.
The episode explores how AI can transform government efficiency, with Bill Vass, CTO of Booz Allen, discussing the potential of generative AI to streamline services, improve decision-making, and modernize government technology across various agencies. Through examples like AI-assisted satellite management, claims processing, and autonomous systems, Vass demonstrates how AI can help the government become more effective and responsive to citizens' needs.
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.
Palantir CEO Alex Karp discusses the company's success, critiques of Western institutions, and his views on issues like immigration, border security, and the challenges facing modern progressive movements. He passionately defends Palantir's technological approach, emphasizing the company's commitment to civil liberties and its role in supporting Western values.
Mark Cuban discusses his approach to business, technology, and politics, sharing insights on the potential of AI, the challenges in healthcare and education, and the importance of entrepreneurship and innovation in driving societal progress.
Thomas Wolf discusses Hugging Face's mission to democratize robotics and AI by building an open-source community, tools, and hardware that make advanced technologies accessible to developers and hobbyists. He sees robotics as the next frontier after language models, with a vision of creating diverse, affordable robots that can be easily programmed and adapted by a broad community of creators.
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 the a16z Podcast, Matt Perrault and Colin McHugh discuss the "Little Tech Agenda" for AI policy, advocating for a regulatory approach that focuses on harmful use rather than development, and ensures startups can compete in the AI landscape while maintaining national technological leadership.
Howie Liu, CEO of Airtable, discusses the company's transformation into an AI-native platform, emphasizing the need to radically refound the company and break existing ways of working to remain competitive in the rapidly evolving AI landscape. He shares insights on building a successful startup, the importance of maintaining execution intensity, and the philosophical meaning of grit as the texture of life's challenging experiences.
A deep dive into the semiconductor industry's transformation driven by AI, featuring VanEck's Angus Shillington and Nick Frasse discussing the massive capital expenditure in AI, the rise of fabless semiconductor companies, and the potential long-term impact of this technological revolution. The conversation explores the growth of companies like NVIDIA, the unique investment opportunities in VanEck's semiconductor ETFs SMH and SMHX, and why this AI-driven semiconductor boom differs from previous tech cycles.
In this episode, Oji and Ezinne Udezue discuss how AI is reshaping the product management role, emphasizing the importance of adaptability, hands-on learning, and maintaining a curious and ethical approach to product development in an increasingly AI-driven landscape.
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.
Google had a remarkable week, potentially powering Apple's Siri with its Gemini AI and successfully fending off a major antitrust challenge. The company also made waves with its impressive Nano Banana image generation model, solidifying its position as a leader in generative AI.
OpenEvidence is revolutionizing clinical decision support for physicians by providing a semantic search platform that helps doctors quickly find precise, evidence-based medical information. The company has rapidly become the primary operating system for clinical knowledge, used by 40% of doctors in the United States and providing crucial support in navigating the exponentially growing complexity of medical research.
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.
A podcast episode exploring how AI is transforming education from K-12 to college, featuring interviews with an innovative school founder, a Princeton professor, and student perspectives on using AI for learning, motivation, and personal growth.
In this episode of the Stack Overflow Podcast, Jeffrey Van Gogh, a director of engineering at Google and board member of the Kotlin Foundation, discusses Kotlin's evolution from an Android-specific language to a versatile, multi-platform programming language with features that make development more productive and less error-prone. The conversation explores Kotlin's key advantages, including null safety, coroutines for asynchronous programming, and its ability to interoperate seamlessly with Java while offering modern language features.
Chris Valenzuela, CEO of Runway, discusses the company's journey in AI video technology, highlighting their growth from a small startup to a leading AI research lab that helps create impressive AI videos and worlds. The episode explores Runway's innovative models, their approach to creative AI, and their vision of transforming storytelling through technology.
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.
Uber, Lucid, and Neuro are partnering to launch a robotaxi service by 2026, targeting the Uber Black and Uber XL market with the Lucid Gravity SUV. The companies aim to create a safer, more affordable autonomous vehicle solution that could potentially reduce transportation costs and save lives.
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.
Michael Truell shares the journey of founding Cursor, an AI-powered code editor, starting from early experiments with robotics and AI in high school to pivoting through multiple startup ideas before finding success. Through persistent iteration and a vision of transforming software development, Truell and his cofounders grew Cursor from zero to 100 million in just one year, challenging existing tools like GitHub Copilot.
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.
Jason and Alex discuss Tesla's Optimus robot, predicting it will revolutionize the world more than the internet, and also cover Anthropic's massive $13 billion funding round and the potential future of AI and smartphones.
In this episode, Tuur Demeester discusses the current Bitcoin market cycle, arguing that it differs from previous bull runs due to the absence of a speculative mania and the increasing institutional involvement. He explores potential risks such as government confiscation of Bitcoin and the broader implications of Bitcoin on global financial systems, while maintaining an optimistic view about its potential to reduce global conflicts and redistribute wealth.
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 concise two-sentence description for the episode: Justin Freishtat, a former door-to-door salesman turned investor, discusses Safe Space Global, an AI technology company focused on creating safer environments in schools, prisons, and other public spaces. The interview explores the company's mission to prevent school shootings, its innovative ambient AI technology, and Justin's entrepreneurial journey from sales to strategic investing.
Here's a 2-sentence description for the episode: In this insightful conversation, Veronica Shelton, co-founder of Oak Theory, discusses the intersection of neurodiversity, technology, and accessibility, sharing her unique perspective as a woman of color in the tech industry. She explores the transformative potential of AI, the importance of adaptability in the workplace, and the launch of her new media project "Under the Oak," which aims to critically examine technology's psychological and social impacts.
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.