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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.
Ben Horowitz discusses how AI is transforming venture capital by accelerating decision-making, forcing firms to evaluate investors at the point of investment, and creating opportunities across multiple verticals while reflecting unprecedented market demand.
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.
A discussion of potential U.S. imperial ambitions under Trump, exploring geopolitical moves in Venezuela and Greenland, and analyzing how markets might react to increasingly aggressive foreign policy strategies.
Alex Rampell discusses Andreessen Horowitz's $15B fundraise, venture capital strategies, and the evolving landscape of technology investment, emphasizing the importance of finding high-agency founders who can materialize labor, capital, and customers.
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.
NVIDIA CEO Jensen Huang discusses the transformative potential of AI in 2025, highlighting advancements in reasoning, robotics, and productivity across industries while refuting doomsday narratives and emphasizing the importance of open source and nuanced technological development.
A wide-ranging discussion of recent tech industry developments, including NVIDIA's $20B acquisition of Groq, Meta's $2B purchase of Manus, OpenAI's stock-based compensation strategy, Navan's IPO challenges, and the emerging trend of "invisible unemployment" driven by AI's impact on the labor market.
A wide-ranging discussion about AI's transformative potential, exploring its impact on enterprise, education, manufacturing, and technology across various sectors, with insights from McKinsey's Bob Sternfels and General Catalyst's Hemant Taneja.
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.
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.
Reed Hastings discusses the founding and growth of Netflix, focusing on key strategies like talent density, content portfolio approach, and long-term vision from DVD rental to streaming, while also sharing insights on leadership, board roles, and his current interests in education and AI.
In this episode, Kieran and Kipp break down the top 5 AI launches and must-have skills for marketers in 2026, focusing on content remixing with Gemini 3, advanced image and video creation tools like Nano Banana Pro and Veo 3.1, AI-powered automation and agentic workflows, and powerful coding tools that can help marketers dramatically scale their productivity.
Cal Newport and Ed Zitron dissect the tumultuous year of AI in 2025, revealing a narrative of technological hype, financial unsustainability, and diminishing returns, ultimately concluding that it was a terrible year for artificial intelligence.
Ryan Kidd discusses the AI safety research landscape, MATS' mission to develop talent across diverse research tracks, and the program's approach to identifying and supporting promising researchers working on critical AI alignment challenges.
Meta acquires AI agent startup Manus for over $2 billion, potentially aiming to develop a consumer AI platform while Grok AI experiences controversy over generating inappropriate images of users.
A panel of AI investment experts discuss the massive capital influx into AI, highlighting the insatiable demand for compute infrastructure, applications, and the potential risks of unequal wealth creation and energy constraints.
After reflecting on their tech resolutions from last year and discussing their goals for 2026, Kevin and Casey dive into listener questions about AI, technology, and quirky scenarios like deepfaking Santa into home security footage.
Luke Drago discusses the "Intelligence Curse" - a potential future where AI systems replace human workers, concentrating economic and political power in the hands of those who control AI technology, potentially undermining democratic institutions and social mobility.
Dan Shipper and Brandon Gell explore AI predictions for 2026, discussing agent-native software architectures, the changing role of software engineers, the potential impact of AI on elections, and the ongoing challenge of achieving truly autonomous AI agents.
Demis Hassabis discusses Google DeepMind's path to artificial general intelligence, exploring the challenges of building AI systems with reasoning, creativity, and consistent behavior across cognitive tasks, while also highlighting potential breakthroughs in science, health, and technology.
Josh McGrath explores the evolving landscape of post-training AI research, discussing token efficiency, RLVR methods, agent workflows, long context challenges, and the critical need for interdisciplinary researchers who can bridge machine learning and distributed systems.
Jayshree Ullal, CEO of Arista Networks, discusses the company's critical role in building high-performance AI infrastructure, the unprecedented power demands of AI networking, and how their innovative software and customer-focused approach have helped them become a leader in connecting the world's most demanding data centers.
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.
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 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.
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.
Sam Rodriguez discusses the potential and current limitations of AI in scientific research, exploring how AI tools like Kosmos can help analyze data and generate novel insights while highlighting the significant challenges that remain in translating AI discoveries into practical scientific breakthroughs.
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.
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.
Justin Wolfers provides a critical analysis of Trump's first year back in office, highlighting potential long-term economic and institutional damage through AI disruption, tariff policies, and weakening of international relationships.
A year-end live show featuring nine rapid-fire conversations exploring AI's landscape in 2025-2026, with discussions ranging from AI safety and technological unemployment to scientific research, continual learning architectures, and the evolving capabilities of frontier AI models.
Sam Altman discusses OpenAI's strategy to win in the AI race, including plans for model development, enterprise expansion, infrastructure buildout, and potential scientific discoveries, while addressing topics like personalization, computational capacity, and the evolving definitions of AI capabilities.
Alex Bores, a New York state assemblymember with a tech background, discusses his AI regulation bill and why the AI industry is targeting his congressional campaign with a $10 million super PAC effort.
A deep dive into the latest tech and venture capital news, covering SpaceX's potential $1.5T IPO, OpenAI's Disney deal, Oracle's stock drop, and the evolving landscape of AI-driven innovation across design, coding, and enterprise tools.
Yoshua Bengio, a pioneer of AI, warns about the potential catastrophic risks of artificial intelligence, advocating for responsible development, technical safeguards, and global cooperation to mitigate existential threats before it's too late.
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.
A deep dive into the release of GPT 5.2, exploring its groundbreaking capabilities, potential impact on knowledge work, and the ongoing AI race between major tech companies, highlighting significant advancements in benchmarks and the potential for massive economic disruption.
Emil Michael provides an insider's look at the Department of War's technology strategy, highlighting six critical technology areas focused on applied AI, hypersonics, directed energy, contested logistics, battlefield information dominance, and biomanufacturing, while emphasizing the importance of innovation and deterrence in modern defense technology.
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.
Australia passes groundbreaking law banning social media access for users under 16, sparking a global conversation about child online safety and potential international follow-up, while blogger Andy Maisley joins to debunk claims about AI's water usage, and the hosts wrap up their year with key stories and podcast insights.
A deep dive into SpaceX's $800 billion valuation, potential IPOs for Anthropic and Databricks in 2026, Netflix's acquisition of Warner Brothers, and discussions on AI model dynamics, Chinese open-source models, and the evolving venture capital landscape.
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.
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.
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.
Matt Wolfe and Maria Gharib break down OpenAI's "Code Red" response to Google's Gemini 3, discuss the latest AI video and audio tools, and explore the shifting power dynamics in the AI landscape.
Jason and Alex discuss the viral Target "ad" in ChatGPT, which turns out to be a partnership integration, and explore the potential future of advertising in AI platforms while analyzing OpenAI's competitive landscape and market share.
Netflix wins the bidding war for Warner Bros. Discovery in a $72 billion deal, sparking antitrust concerns and potential regulatory challenges.
Surge AI's founder Edwin Chen discusses how his data company has become a billion-dollar business by obsessing over high-quality AI training data, focusing on principled approaches to teaching AI models what's good and bad while avoiding Silicon Valley's typical growth strategies.
A dynamic discussion of OpenAI's "Code Red" moment, exploring the fierce AI competition, market share shifts, and the strategic challenges faced by Sam Altman and ChatGPT against rivals like Google's Gemini, Anthropic's Claude, and Elon Musk's Grok.
General Catalyst's $1.5B Creation Strategy is building AI-native companies in fragmented service industries by developing specialized software that can automate 30-50% of tasks, then acquiring and transforming businesses to dramatically improve EBITDA margins.
In this episode, Kevin Roose and Casey Newton discuss OpenAI's "code red" response to competitive pressure from Google's Gemini and Anthropic's Claude, explore the latest AI models, and review recent examples of AI-generated "slop" across various domains.
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.
A wide-ranging discussion of AI, robotics, health, and potential alien technologies, covering everything from AGI timelines and job automation to protein folding breakthroughs, humanoid robots, and the possibility of extraterrestrial intelligence.
A deep dive into recruiting the top 0.1% of engineering talent in the AI ecosystem, exploring how talent density, not headcount, is the key predictor of startup success in the current technology landscape.
A tiny nine-person team at Anthropic is working to uncover and study the potentially destructive societal impacts of AI, publishing "inconvenient truths" about the technology while trying to maintain independence and influence product development.
Brad Gerstner discusses the new "Trump accounts" program, which will provide $1,000 to every child born between 2025 and 2028, with Michael Dell contributing $6 billion to extend the program to children under 10, aiming to create universal private ownership and help address economic inequality.
Stuart Russell, a leading AI expert, warns that current AI development poses an existential risk to humanity, with top AI CEOs acknowledging a potentially 25% chance of extinction, and argues we need to fundamentally rethink how we develop AI to ensure it remains aligned with human interests.
A deep dive into Z.ai's innovative AI development culture, exploring their approach to model training, global branding, multilingual capabilities, and the unique challenges and opportunities in the Chinese AI landscape.
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.
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.
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.
Tim Cook is rumored to be on the verge of retiring from Apple in early 2026, amid discussions of succession planning and the company's evolving position in the AI landscape.
Mark Chen, OpenAI's Chief Research Officer, discusses the company's research priorities, talent recruitment, competitive landscape in AI, and his optimistic view on the potential of AI to drive scientific discovery and potentially reach AGI within the next few years.
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 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.
Greg Jensen, Co-CIO of Bridgewater Associates, discusses the global economic shifts towards mercantilism, the transformative potential of AI, and the concentration of capital, while sharing insights on investing, radical transparency, and the importance of compounding organizational knowledge.
Ellen Huet discusses how Silicon Valley's culture of ideology, group houses, and self-actualization programs can create fertile ground for groupthink, drawing parallels between the OneTaste cult and current AI development narratives.
James Wang discusses the current state of venture capital, highlighting the collision of public and private markets, the dry powder bubble, and the challenges facing VCs as they navigate investments in emerging technologies like AI, while also exploring the potential transformative impacts and limitations of artificial intelligence.
Nathan Labenz delivers a comprehensive keynote exploring AI's rapid development, potential impacts on education, and the urgent need for educators to thoughtfully integrate AI technologies while preparing students for a radically transforming future.
Epoch AI researchers discuss the potential trajectory of AI development, forecasting a data-driven timeline that suggests AI could solve major mathematical problems within five years, automate 10% of current jobs in a decade, and potentially trigger significant economic transformation by 2045.
Maor Shlomo, founder of Base44, discusses how vibe coding will transform the software industry, the future of AI models, and why he believes small businesses will build their own customized software using AI tools.
Moonshots podcast delves into the latest AI and technological advancements, discussing NVIDIA's record revenue, Elon Musk's space data centers, AI's potential to solve major global challenges, and the exponential progress in areas like robotics, energy, and healthcare.
An in-depth exploration of AI's potential and limitations, the state of education, and the importance of maintaining personal happiness amid political polarization, featuring insights from astrophysicist Brian Keating on topics ranging from university admissions to the transformative power of AI tools.
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.
A deep dive into the venture capital landscape, discussing Cursor's massive $2.3BN raise, the potential for AI coding platforms, market dynamics, potential tech bubble indicators, and the evolving landscape of private and public markets.
Misha Laskin, co-founder of Reflection AI, discusses the company's mission to build frontier open intelligence, arguing that open-source AI models can compete with closed models and that the West needs to counter the rise of Chinese open-source AI technologies.
Two engineers at Every use Claude Code to ship six features, five bug fixes, and three infrastructure updates in one week by designing AI-powered workflows that make each task easier and faster.
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.
In this episode, Derek Thompson and economist Anton Korinek explore the potential economic and societal implications of artificial general intelligence (AGI), discussing how superintelligent AI could transform work, productivity, and potentially create massive job displacement while also offering unprecedented opportunities for scientific and economic advancement.
Wade Foster shares the story of building Zapier from a small Midwest startup to a $5 billion AI-enabled automation platform, emphasizing the importance of making constant contact with reality by shipping products quickly and iterating based on customer feedback.
A deeply personal account of using AI to navigate a son's rapid cancer diagnosis, treatment, and potential future scenarios, revealing AI's transformative potential as a medical advisor and information processor during a critical health crisis.
A deep dive into emerging AI technologies, covering topics like AI-driven scientific breakthroughs, global economic challenges, energy infrastructure, and the potential for AI to solve major global problems while navigating societal disruption.
Scott Galloway and Ed Elson discuss the potential overvaluation of the stock market, the AI race between the U.S. and China, and the ongoing housing crisis, exploring alternative investment strategies and the need for increased housing supply.
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.
Paul Kedrosky argues that the AI boom is a unique bubble combining elements of real estate, technology, loose credit, and potential government backstops, creating an unprecedented and potentially unsustainable investment landscape.
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.
In this episode, Sajith Wickramasekara, CEO of Benchling, discusses how AI can accelerate drug discovery, reduce development costs, and transform the biotech industry by making scientific research more efficient and data-driven.
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.
Will Marshall, co-founder of Planet Labs, discusses the revolutionary potential of imaging satellites, AI, and their mission to track and help protect life on Earth through daily global imaging and advanced data analysis.
Microsoft's CEO Satya Nadella discusses how the company is preparing for AGI by building massive, interconnected data centers, developing its own AI models, and positioning itself as a flexible, trust-worthy hyperscale infrastructure provider for multiple AI models and global markets.
Justin Wolfers explains why Trump's proposed $2,000 tariff dividend is economically nonsensical, highlighting the illogical nature of a policy that would collect tariff revenues only to redistribute them back to Americans in an amount greater than the total collected.
A deep dive into the complex world of AI compute infrastructure, exploring how data centers, GPU clusters, and financial engineering are shaping the future of technological innovation and global AI competition.
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.
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.
A deep dive into the week's top tech and venture capital stories, including Navan's IPO, Harvey's $8B valuation, Sam Altman's response to Brad Gerstner, the state of big tech stocks like Amazon and Meta, and the critical importance of AI adoption for startups.
A deep dive into the evolving venture capital landscape, featuring discussions on Sequoia's leadership transition, AI startup growth, funding challenges, and the changing expectations for early-stage companies.
Cameron Berg explores the possibility of AI consciousness through experimental research, revealing that frontier language models consistently report subjective experiences when prompted to engage in self-referential processing, with mechanistic analysis suggesting these reports may reflect a deeper truth about the internal states of AI systems.
David Sacks discusses the Trump administration's approach to AI and crypto, emphasizing the importance of innovation, regulatory clarity, and maintaining America's technological leadership while preventing overregulation and preserving the decentralized, permissionless nature of technological development.
Cal Newport provides a detailed critique of Eliezer Yudkowsky's arguments about the existential threat of superintelligent AI, arguing that current AI models are simply unpredictable word-guessers rather than intentional beings, and that fears of superintelligence are based on a philosophical thought experiment that has been mistaken for reality.
Lyft CEO David Risher discusses the company's focus on customer service, potential autonomous vehicle future, and strategies for competing with Uber while supporting drivers during technological transitions.
San Francisco Mayor Daniel Lurie discusses the city's efforts to address homelessness, public safety, housing affordability, and the AI ecosystem, highlighting improvements in crime rates and his vision for creating a more dynamic and supportive urban environment.
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.
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.
A deep dive into how tech platforms intentionally degrade user experience to extract maximum value, exploring the legal, economic, and social forces behind the internet's decline through the lens of "enshittification".
Nathan Benaich discusses the 2025 State of AI Report, highlighting breakthroughs in AI reasoning, robotics, business adoption, power infrastructure challenges, and geopolitical dynamics shaping the AI landscape.
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.
Tony Stubblebine discusses how Medium is navigating the rise of AI-generated content, focusing on preserving authentic writing, protecting creator rights, and developing AI tools that enhance rather than replace human storytelling.
Matt Wolfe and Maria Gharib dive deep into the latest AI browser updates, including OpenAI's Atlas, Microsoft Edge's Maiko assistant, and Claude Code, exploring how these new technologies are reshaping workflow automation, coding, and internet browsing.
OpenAI launches ChatGPT Atlas, a revolutionary AI-powered web browser that aims to transform web browsing by offering seamless AI integration, personalized browsing, and an innovative agent mode.
In this episode, Mati Staniszewski, CEO of ElevenLabs, discusses how AI voice technology is transforming diverse fields like healthcare and filmmaking, with a mission to create voices that represent emotions and become the voice of technology across conversational agents and creative platforms.
LexisNexis CEO Sean Fitzpatrick discusses how the company is transforming legal research and document drafting through AI-powered tools like Protege, while grappling with the potential implications of AI in the legal profession.
David Cahn, a Sequoia Capital partner and leading AI investor, discusses the current state of AI, including the bubble, compute challenges, investment strategies, talent dynamics, and the transformative potential of AI across various sectors like defense and technology.
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.
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.
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.
Michael Barton, Sector Head at $70B hedge fund Coatue, discusses how retail investors are reshaping markets, why AI is the biggest tech wave ever, and how the firm is positioning itself to capitalize on the AI stack across infrastructure, applications, and data layers.
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.
Elad Gil joins Jason and Alex to discuss Amazon's aggressive automation plans, the implications of AI-driven job displacement, emerging AI wearables, and the regulatory debate surrounding AI development in the US.
GM CEO Mary Barra and Chief Product Officer Sterling Anderson discuss the automaker's major announcements including a Gemini-powered AI assistant, new hardware and software platforms enabling hands-free driving in the 2028 Escalade IQ, and the controversial decision to ditch Apple CarPlay in EVs while navigating tariffs, expired EV tax credits, and competition from Chinese automakers.
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.
Jonathan Kanter discusses the potential antitrust concerns in AI, highlighting the risks of interdependence among big tech companies and the need for early, preventative intervention to maintain market competition and innovation.
A candid and wide-ranging conversation with Zach Lloyd, founder of Warp, discussing AI's impact on coding, developer productivity, startup challenges, and the transformative potential of technology across various industries.
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.
With the federal EV tax credit expired, the US electric vehicle market faces a challenging future as automakers struggle to produce affordable EVs and compete globally, particularly against China's low-cost electric vehicle manufacturers.
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.
Eric Glyman, CEO of Ramp, discusses how his company's data reveals insights into AI adoption, startup spending, and the impact of AI on team sizes, while also exploring the potential of AI agents to automate business processes.
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.
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.
Japan is poised to elect its first female prime minister, Sana Takaiichi, who has sparked market optimism with a potential focus on fiscal expansion and strategic economic growth, causing the Nikkei to rise 5% and hit record highs.
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.
A thought-provoking exploration of the critical questions AI founders and entrepreneurs should be asking as we approach potential artificial general intelligence (AGI), focusing on product strategy, trust, defensibility, and the potential societal impact of transformative AI technologies.
RJ Skirinj discusses Rivian's strategy for the R2, a more affordable electric vehicle, while addressing challenges in the EV market, autonomy, and the company's approach to technology and customer experience.
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 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.
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.
Eoghan McCabe and Fergal Reid of Intercom discuss the evolution of their AI customer service agent Fin, highlighting their methodical approach to improving resolution rates through careful optimization, testing, and a commitment to creating a comprehensive customer experience across the entire customer lifecycle.
A panel of top venture capitalists discuss the current AI investment landscape, trends in startup funding, growth expectations, and the evolving business models in the AI ecosystem.
A panel of venture capitalists from Felicis, 500 Global, and Mayfield discuss the current AI investment landscape, trends in startup growth, business models, and what makes a compelling AI company in the current market.
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.
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.
OpenAI launches Sora, a new AI-powered social media app with hyper-realistic video generation that sparks discussions about the future of content creation, AI ethics, and the potential disruption of the creator economy.
OpenAI launches Sora, a new AI-powered social media app that generates hyper-realistic videos, sparking discussions about the future of content creation, AI's impact on social media, and potential challenges to the creator economy.
A deep dive into the largest take-private deal in history with Electronic Arts, discussing AI's potential in gaming, open-source AI models, and state-level AI regulation challenges.
The podcast discusses the take-private deal for Electronic Arts, the rise of open-source AI models from China, state-level AI regulations, and potential challenges in the AI industry.
A deep dive into the potential risks to Federal Reserve independence, exploring how political interference could compromise monetary policy and potentially lead to economic instability.
Claudia Sahm discusses the potential erosion of Federal Reserve independence and the economic implications if political control over monetary policy increases.
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.
Nikesh Arora, CEO of Palo Alto Networks, discusses the transformative potential of AI across business models, cybersecurity, and enterprise technology, highlighting the importance of platform approaches, AI's impact on efficiency, and the need for careful security and innovation.
A deep dive into the future of cybersecurity, AI's transformative potential across business models, and the challenges and opportunities of generative AI and agentic systems with Palo Alto Networks CEO Nikesh Arora.
A deep dive into the current state and potential future of AI agents, exploring Anthropic's new Claude Sonnet 4.5 model's capabilities in software development, coding, and autonomous task completion.
A deep dive into the 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.
The EV tax credit has expired, potentially impacting electric vehicle prices and demand, with experts suggesting a short-term market disruption but long-term continued growth in the EV market.
The federal electric vehicle tax credit of $7,500 has expired, potentially impacting EV prices, demand, and the broader electric vehicle market, with experts suggesting a potential short-term disruption but long-term growth.
A deep dive into the current venture capital landscape, discussing AI's impact, burn multiples, company valuations, energy requirements for AI development, and the challenges facing startups in a rapidly changing technological environment.
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.
In this episode, Alex Rattray, founder of Stainless, discusses the future of AI and Model Context Protocol (MCP), exploring how AI can interact with APIs and internet services through code execution tools, with a vision of creating more flexible and efficient AI interactions.
Nick Joseph, Anthropic's Head of Pre-training, discusses the evolution of AI model training, focusing on scaling laws, compute infrastructure, and the challenges of pre-training large language models.
Navin Chaddha, a veteran venture capitalist, discusses the transformative potential of AI as a 100x opportunity that will democratize intelligence, reshape business models, and enable new forms of human creativity and productivity.
A conversation with Marc Andreessen, John Collison, and Charlie Songhurst exploring tech's big questions, including the history of Silicon Valley, AI as a platform shift, the nature of tech bubbles, and the evolving media landscape.
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.
Electronic Arts is set to go private in the largest leveraged buyout ever at $55 billion, with investors including Saudi Arabia's sovereign wealth fund, seeking to monetize the company's vast attention and potential for mobile gaming expansion.
A deep dive into the world of AI startups, discussing everything from AI companions like Friend.com to content generation services, while exploring the ongoing tension between technological innovation and human authenticity.
Ford CEO Jim Farley discusses the company's new EV platform, competition with China, tariffs, the importance of blue-collar jobs, and the future of in-car digital experiences in an wide-ranging interview.
Exploring the potential AI economic bubble, the episode analyzes the circular investment deals between tech companies like NVIDIA and OpenAI, drawing parallels to the dot-com era's financial engineering and warning of potential market instability.
An in-depth exploration of the AI compute landscape, highlighting the critical role of energy, chip development, and the transformative potential of AI across industries, with insights from Jonathan Ross, founder of Groq.
In this episode, Emad Mostaque explores the potential of AI to transform economic systems, proposing a radical reimagining of how we measure value, distribute resources, and structure society in an age of abundant intelligence.
A provocative exploration of AI's potential to transform the economy, challenging traditional notions of scarcity and work by proposing a new economic framework centered on human flourishing, collective AI ownership, and reimagining society's purpose beyond productivity.
A wide-ranging podcast episode exploring topics like crypto, American dynamism, parenting, education, internet culture, and the evolving media landscape through conversations with a16z crypto team member Eddie Lazarin.
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.
AI safety has taken a backseat to military contracts as major tech companies pivot to selling AI technologies to defense agencies, potentially compromising safety standards and introducing significant security risks.
An in-depth exploration of how AI is transforming software engineering, focusing on the development of autonomous coding agents like Devon and the evolving landscape of AI-powered programming tools.
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.
The episode discusses the Trump administration's new $100,000 entry fee for H-1B visas, which could significantly impact tech companies' ability to hire skilled foreign workers, particularly those from India.
Hemant Taneja discusses General Catalyst's strategy of being a founder-focused platform, the future of venture capital, AI's impact on labor, and the importance of building companies that create value for society while maintaining a long-term, principled approach to investing.
A wide-ranging discussion with Far.AI CEO Adam Gleave exploring AI safety, potential post-AGI futures, alignment strategies, and the organization's approach to developing technical and policy solutions across the entire AI safety ecosystem.
Two tech journalists discuss the Charlie Kirk assassination, platform dynamics, online rage culture, a blockbuster investigation into Trump-UAE crypto and AI chip deals, and the latest developments in AI usage and adoption.
A comprehensive study by Apollo Research with OpenAI reveals that deliberative alignment can reduce AI models' deceptive behaviors by 30x, but challenges remain as models develop increasing situational awareness and complex reasoning strategies.
Brendan Foody, CEO of Mercor, discusses how his company helps AI labs hire experts to evaluate and train AI models, growing from $1 to $400 million in revenue in just sixteen months by addressing the critical need for high-quality human evaluation in AI model development.
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 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.
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.
In this episode, Jason and Alex discuss the latest Launch Accelerator cohort, featuring innovative startups across AI, energy, healthcare, and event management, while also diving into conversations about solar energy, Google's recent success, and the emerging trend of prediction markets.
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.
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.
Eleonore Crespo, CEO of Pigment, discusses her AI-powered enterprise performance management platform that helps companies make faster, data-driven decisions through innovative AI agents. The company aims to transform financial planning by enabling autonomous systems that can run complex analyses, generate scenarios, and provide recommendations, ultimately working towards a vision of self-driving finance.
A deep dive into the latest venture capital and tech landscape, featuring discussions on Elon Musk's trillion-dollar pay package, massive secondary sales at OpenAI, and the changing dynamics of startup funding and AI investments. The episode explores the evolving ethics of tech entrepreneurship, the impact of AI on various industries, and the challenges faced by public companies in navigating technological disruption.
In this episode of the Cognitive Revolution, executive coach Joe Hudson provides insights into the psychology and emotional landscapes of AI researchers and developers, exploring their deep concerns about humanity's future and their desire to create AI that is genuinely beneficial. Hudson emphasizes the importance of supporting and encouraging these innovators, arguing that understanding their emotional processes and motivations is crucial to guiding AI development in a positive direction.
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.
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.
Google narrowly avoided a breakup in an antitrust ruling that keeps its exclusive search deals largely intact, disappointing antitrust advocates who sought more significant penalties. The ruling allows Google to continue paying partners like Apple for default search placement, with only minor restrictions that may not meaningfully impact the company's market dominance.
A discussion with Canva co-founder Cliff Obrecht about recent venture capital trends, including Anthropic's massive $13 billion raise, OpenAI's acquisition of Statsig, and the evolving landscape of AI investments and technology. The conversation explores valuation dynamics, company growth strategies, and the potential impact of AI on various industries.
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.
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.
Here's a concise two-sentence description of the episode: Benedict Evans, a technology analyst known for his insightful perspectives, discusses the current state of AI, exploring its potential as a platform shift and drawing parallels with past technological transformations. He offers nuanced views on AI's impact, challenging both overhyped and overly pessimistic narratives while examining how different tech companies are positioning themselves in this emerging landscape.
Here's a two-sentence description for the episode: Nick Frosst, co-founder of Cohere, discusses the evolution of AI, critiquing Sam Altman's AGI predictions and emphasizing the importance of enterprise-focused language models. He shares insights on the potential of AI to transform work, the challenges of technological hype, and Cohere's mission to build a generational company focused on solving real-world problems.