No Priors: Artificial Intelligence | Technology | Startups

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185 afleveringen, van nieuw naar oud

  1. Democratizing Security for the Agentic Web with Cloudflare CTO Dane Knecht

    23 oktober 2026 · 41 min

    Afspelen
    In the transition to the agentic web, security has become an afterthought. Now, organizations are racing to figure out what AI security means, and how to keep their data safe. Live from Cloudflare Connect, Sarah Guo sits down with Cloudflare CTO Dane Knecht to discuss the changing attacker landscape, and how his company is allocating its engineering resources to meet this emerging security challenge. Dane explains how enterprises that have moved away from castle-and-moat infrastructure to more of a zero trust infrastructure for security are in better positions than those who haven’t. He also discusses the challenges of patching 70 years of software and why the software development lifecycle will need to change for security for the agentic web, why he sees token spend in the next 18 months primarily going towards security rather than engineering, how the current web is in a ‘messy middle’ state where humans and agents are riding the same ‘rails’ on the internet, Cloudflare’s conference monetization gateway release as well as its Signals project with OpenAI, the rationale behind the release of Cloudflare OS, and the thinking behind a recent company restructuring. Plus, why Cloudflare hired one thousand interns, and why curiosity about AI is required to be successful at Cloudflare. Lees meer

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    Chapters:

    00:00 – Trailer

    00:55 – Cloudflare CTO Top Priorities

    05:03 – Today’s Attacker Landscape

    06:16 – State of Internet Infrastructure

    07:31 – Shift Towards Security Spend

    08:39 – Road to Better Software and Internet Security

    09:50 – Building Secure Production Software

    11:41 – Reducing Surface Area

    12:54 – Near Future of the Web

    17:27 – Monetization and Signals

    19:13 – Success for Content Creators

    20:07 – Workplace OS and Use Cases

    24:07 – Restructuring for AI-First

    27:11 – Token Budgeting

    29:32 – Cloudflare’s …

  2. The New Apex Predator: CrowdStrike CEO George Kurtz on Adversaries Armed With AI Agents

    22 oktober 2026 · 45 min

    Afspelen
    Adversaries are already running AI agents, and the fastest attacks now play out in seconds. Sarah Guo and Elad Gil sit down with CrowdStrike president and CEO George Kurtz on what AI-equipped attackers mean for enterprise security. George explains how agents are flattening the adversary pyramid by putting advanced tradecraft in the hands of low-skill attackers, and why CrowdStrike and Nvidia are building a frontier-style lab of their own to train security models. They also get into how open-weight and closed models compare on security, where CrowdStrike is directing its platform investment, lessons from the recent Hugging Face incident, and why George sees AI, like every platform shift before it, as a net creator of opportunity. Lees meer

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    Chapters:

    00:00 – Trailer

    00:59 – George Kurtz Introduction

    01:24 – Agentic Landscape

    02:45 – AI and Adversaries

    04:51 – Open Weight Models and Adversarial Attacks

    06:37 – Adversary Geography

    08:34 – Attacker Capability in Context

    11:24 – Hugging Face Takeaways

    13:59 – CrowdStrike Frontier Security Models

    16:32 – CrowdStrike Key Offerings

    19:51 – What Differentiates CrowdStrike’s Models

    23:57 – Near Term State of Security World

    25:46 – State of Model Distillation

    27:53 – Open Weight Model Importance and Cost

    29:59 – Assessing Real Agent Threat

    32:40 – Areas to Watch in AI

    35:02 – Case for Defense Dominance

    39:15 – Executive Advice

    43:16 – Shifts Create Opportunity

    45:27 – Conclusion

  3. The Changing Physics of Cybersecurity and Drug Development with OpenAI President Greg Brockman

    15 oktober 2026 · 39 min

    Afspelen
    Technology has always been the fundamental driver of improvement for human quality of life. And with the recent rollout of advanced frontier models, like OpenAI’s GPT-6, humanity can now massively accelerate scientific discovery for its benefit. Sarah Guo and Elad Gil are joined by OpenAI President and co-founder Greg Brockman to discuss the company’s rapid progress across frontier models, cybersecurity, and scientific discovery. Greg shares how nearly 400 century-old math problems have been solved using its AI agents, and how the technology has the potential to transform other fields like biology in the realm of drug discovery. He also talks about how proactive, always-on AI agents like Dots impact modern productivity, why he believes the best UI is no UI at all, how cybersecurity is in a critical window of time to use peak intelligence to find and fix vulnerabilities in systems, and why OpenAI remains committed to keeping humans in the driver’s seat even as models surpass us in capability. Lees meer

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    Chapters:

    00:42 – Trailer

    00:59 – Greg Brockman Introduction

    01:11 – AI and Advancements in Mathematics

    05:55 – AI Communication and Oversight

    07:45 – AI for Overcoming Biology Data Bottlenecks

    11:28 – Revolutionizing Drug Discovery

    14:18 – Changing Regulations to Accelerate Progress

    16:51 – Dots the Proactive Agent

    19:19 – Unifying Work and Consumer Agents

    22:02 – How UI Will Evolve

    26:08 – Cybersecurity in the AI Age

    32:55 – Shift in Security Investment

    35:49 – OpenAI’s Human-Centric Ethos

    38:28 – Conclusion

  4. Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin

    9 oktober 2026 · 1 uur 10 min

    Afspelen
    Is the future of frontier AI open or closed? ReflectionAI co-founder and CEO Misha Laskin joins Sarah Guo and Elad Gil to discuss the launch of Beam, the company’s 500 billion parameter open-weight reasoning model. Misha breaks down the pre-training and reinforcement learning required to produce Beam’s reasoning efficiency, the shift in enterprise compute from renting to owning intelligence, and how he believes that open models will capture the majority of global token demand. He also talks about the open model ecosystem in China and why competition with China’s models is a good thing, safety considerations around open models, and how frontier-level open models may accelerate the pace of scientific discovery. Lees meer

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    Chapters:

    00:42 – Misha Laskin Introduction

    00:59 – Latest with ReflectionAI

    02:07 – Challenges Building an Open Model

    03:56 – ReflectionAI’s Agentic Shift

    07:37 – Resources for Model Training

    10:09 – Scaling Efficiency

    12:18 – Training Beam

    16:51 – Where Model Value Comes From

    19:55 – Beam’s Reasoning Efficiency

    22:35 – Monetizing Open Weight Models

    25:03 – Future of Open Versus Closed Tokens

    31:29 – Competition with Open Models

    34:38 – Chinese Open Source Model Ecosystem

    38:40 – Will Chinese Models Remain Open

    44:44 – Safety and Open Models

    53:02 – Debating Access to Powerful Tools

    57:16 – AI and Scientific Progress

    01:00:36 – Data Centers and Jobs

    01:02:07 – Beam and Scientific Research

    01:05:37 – Research Head Count to Compute Ratio

    01:10:29 – Conclusion

  5. Frontier Chips for Frontier AI Labs, with Walter Goodwin, Founder/CEO of Fractile

    2 oktober 2026 · 36 min

    Afspelen
    Founder and CEO of full-stack AI chip company Fractile, Walter Goodwin, joins Sarah Guo to discuss the bets he’s made on the future of the chip market as other major players like Broadcom, NVIDIA, and AMD try to accelerate their workloads. They discuss the difference in Fractile’s newer approach on model architecture with a full-stack team in the current chip landscape and the technical bets they’re making in that direction. Walter also talks about compressing the gap between the chip design cycle and its payoff period, and making a generational leap in AI inference to realize the bet in volume against the value to be captured. Lees meer

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    Chapters:

    00:46 – Walter Goodwin and Fractile Introduction

    02:29 – The Chip Landscape Now

    04:56 – Common Handoffs From Architecture-Focused Players

    07:18 – Full Stack Approach and Team Setup

    09:49 – Fractile’s Most Important Technical Bets

    15:32 – Workload Predictions and Compressing the Chip Design Cycle

    23:03 – Architect Intent to Output Bottlenecks and Accelerating Trials

    28:16 – Workload Bets on Model Architectural Shifts

    31:20 – The Future of AI Chip Players and Market Structure

    35:14 – Conclusion

  6. Re-Founding Incumbents for the AI Era with Sequence Holdings Co-Founder and CEO Michael Lee

    24 september 2026 · 43 min

    Afspelen
    Can AI transform legacy incumbents rather than replacing them? Sequence Holdings co-founder and CEO Michael Lee joins Sarah Guo to discuss how holding company structures and engineering integrations are reshaping market leaders from the inside out. Michael details Sequence’s $7.7 billion take-private transaction of Baldwin alongside Dell Family Office (DFO), and shares his thesis on why traditional consulting models and software sales fall short for real enterprise AI transformations. They also talk about why permanent holding company structures are good for long-term compounding, real-world results from applying frontier engineering to BankSouth, and Michael’s lessons from his time in public investing, private equity, and operating at the intersection of market incumbents and AI. Lees meer

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    Chapters:

    00:34 – Michael Lee Introduction

    01:03 – Sequence Holdings and Baldwin

    01:54 – Idea for Sequence

    04:36 – Incumbents in the AI Era

    06:32 – Why a Holding Company

    11:21 – Recruiting Top Engineers

    13:08 – Investing in BankSouth

    17:46 – Why an Insurance Brokerage

    20:17 – Atlas Platform Explained

    23:53 – Traditional Private Equity Limitations

    27:23 – What Sequence Looks For in Management Teams

    31:04 – Accomplishments at BankSouth

    34:45 – Founder Lessons

    36:08 – Story of Dell Partnership

    37:10 – Career and Investment Approach

    40:00 – Value of Exceptional People

    42:23 – Conclusion

  7. Why Diffusion Will Win AI Inference with Inception Co-Founder and CEO Stefano Ermon

    18 september 2026 · 38 min

    Afspelen
    As generative AI hits hardware and latency bottlenecks, Stanford professor, diffusion pioneer, and Inception co-founder and CEO Stefano Ermon is betting on a radical new architecture. Stefano joins Sarah Guo to talk about Inception, and how his team is applying diffusion architecture beyond images and video into discrete text and code generation. Stefano explains the limitations of autoregressive LLMs, as well as why parallel token generation in diffusion models offers superior inference scaling and hardware utilization on standard GPUs. He also shares details about Inception’s Mercury models, real-world voice agent applications, the software stack required to serve diffusion-based models at scale, academia’s role at the frontier of AI innovations, and why the next era of AI competition will be defined by efficiency. Lees meer

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    Chapters:

    00:00 – Stefano Ermon Introduction

    00:35 – Research Background

    02:54 – Starting Inception

    05:59 – Why Diffusion Beats Autoregressive

    11:10 – Discrete vs. Continuous Modalities

    13:19 – Inception Today

    16:45 – Where Speed Wins

    17:31 – Inception Customer Base

    18:49 – Interaction with Hardware Landscape

    19:34 – Inception and the Broader Industry

    21:41 – Data Compression and Structure

    24:45 – Controllability of Diffusion Modeles

    27:25 – Emergent Capabilities at Scale

    29:02 – Future Workload Split Between Diffusion vs. Traditional

    30:03 – Adoption Challenges

    31:44 – Hiring and Team Organization

    32:50 – Recursive Self Improvement

    34:02 – Resource Allocation

    35:10 – Impact of Academia

    38:13 – Conclusion

  8. Coinbase’s Everything Exchange: Agentic Finance, Stablecoins, and Tokenization with CEO Brian Armstrong

    10 september 2026 · 45 min

    Afspelen
    From the tokenization of real-world assets to funding research on anti-aging therapeutics, Coinbase co-founder and CEO Brian Armstrong is focused on solving meta-problems for the benefit of society. Brian joins Elad Gil this episode to discuss the intersections of artificial intelligence, crypto rails, and biotechnology. He details Coinbase’s vision for agentic finance, as well as how Coinbase is becoming the ‘Everything Exchange’, which includes tokenized real-world stocks, stablecoin payment adoption, and prediction markets. Brian also introduces his new venture, New Limit, a company founded to tackle longevity through epigenetic reprogramming, and outlines initial therapeutic programs and the roadmap toward clinical trials. Lees meer

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    Chapters:

    00:00 – Cold Open Trailer

    00:45 – Brian Armstrong Introduction

    01:13 – Coinbase and the Everything Exchange

    05:52 – Agentic Commerce

    10:00 – AI and Crypto

    10:49 – AI Inside Coinbase

    15:39 – Productivity and Company Size

    17:26 – The Everything Exchange and Tokenization

    20:53 – Prediction Markets

    23:15 – Introducing New Limit

    34:17 – Looking Forward Five Years

    40:24 – Special Economic Zones

    44:26 – Conclusion

  9. Redefining Chip Architecture with Arm CEO Rene Haas

    3 september 2026 · 37 min

    Afspelen
    From data center orchestrators to AGI and robotics, CPUs remain the heart of modern computing. Arm CEO Rene Haas joins Elad Gil and Sarah Guo to explore how Arm is positioned at the epicenter of AI-driven demands for compute. Rene explains Arm’s position in the chip supply chain, and how Arm transitioned from an IP licensing model to producing physical chips like the Arm AGI CPU for Meta. He also discusses bottlenecks in hardware supply chains, SoftBank’s ecosystem and capital strategy, why US semiconductor manufacturing independence is critical, the future of robotics, and why CPUs remain crucial for executing AI workloads. Lees meer

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    Chapters:

    00:00 – Cold Open Trailer

    00:49 – Rene Haas Introduction

    01:14 – Arm and Chip Supply Chain

    02:37 – Shift from IP to Manufacturing CPUs

    04:23 – CPU IP and Customers

    06:55 – AI Adoption at Arm

    10:15 – Changes in Chip Time to Market

    13:27 – Data Center Buildout Bottleneck

    15:13 – Softbank Leverage and Capital Strategy

    17:43 – Softbank Portfolio Overview

    20:13 – Robotics Opportunities for Arm

    24:49 – US Manufacturing Protectionism

    28:59 – Data Center Backlash

    32:30 – Arm Outlook

    33:31 – CPU Opportunity

    37:06 – Conclusion

  10. Rethinking Legacy Data Infrastructure with Eon Co-Founders Ofir Ehrlich and Gonen Stein

    27 augustus 2026 · 35 min

    Afspelen
    Google’s purchase of Spirit Airlines’ data out of bankruptcy signaled a shift in how the tech world values real-world datasets. Although compute and models get much of the attention, in this landscape, it’s data that is a company’s protective moat. Eon CEO / Co-Founder Ofir Ehrlich and President / Co-Founder Gonen Stein join Elad Gil to talk about how Eon is redefining cloud backup into a secure data foundation designed to power and protect enterprise AI. Ofir and Gonen discuss why historical enterprise data is in demand by AI labs, and how Eon facilitates access to scattered and locked data across business units through providing the mapping, classification, and access controls needed to connect it into AI workflows. They also explore how traditional ransomware defenses must now protect against rogue AI agents with legitimate system permissions, concerns around the influx of autonomous agents and non-human identities, and the implications for the breakneck speed of AI adoption compared to the slowness of the cloud era. Lees meer

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    Chapters:

    00:00 – Cold Open Trailer

    00:59 – Ofir Ehrlich and Gonen Stein Introduction

    01:27 – What Eon Does

    02:41 – Data as Moat

    06:43 – Training Agents with Good Data

    09:39 – Data is the New Oil

    15:00 – Autonomous Security Threats

    18:15 – How Agents Change the Enterprise Stack

    22:11 – Re-imagining Data Infrastructure

    27:52 – Cloud vs. AI Era Shift

    30:26 – How AI is Changing Companies

    34:31 – Conclusion

  11. From Restoring Sight to Reimagining the Brain, with Max Hodak

    20 augustus 2026 · 32 min

    Afspelen
    Max Hodak, co-founder and CEO of Science Corporation, joins Sarah Guo to discuss the future of vision, brain-computer interfaces, and the human experience. Max explains how Science’s PRIMA retinal implant could restore functional vision for people who have lost their sight, and why treating the brain as a computational system could unlock new approaches to medicine. Lees meer

    They explore the broader potential of neural devices, from restoring lost capabilities to expanding human potential, as well as deeper questions around identity, consciousness, and whether the human experience can persist as our biological hardware changes.

    Max also shares Science’s long-term vision for reducing the fragility of the human condition by repairing, replacing, and ultimately upgrading parts of ourselves. Finally, he discusses the surprising parallels between AI models and biological brains, and why AI may offer a powerful new lens for understanding intelligence.

    Chapters:

    00:00 – Cold Open Trailer

    01:40 – Max Hodak Introduction

    02:00 – Science Corporation Overview and Origin

    02:53 – A Revolutionary Solve for Blindness

    06:32 – Scope of Timeline and Engineer Cost

    09:10 – Clinic Trial Process

    09:45 - The Response from Clinicians

    12:21 – Broader Biotech Landscape

    14:59 – Brain’s Relationship to Senses

    17:35 – The Study of Consciousness

    19:50 – Investments in Brain Computer Interface

    22:10 – Fertile Ways to Study Neuroscience

    24:46 – Biotech Expansion for Science Corporation

    27:50 – What Success Looks Like in Neuroscience and Tech

    29:06 - Goals Within Human Preservation vs. Adaptation

    30:25 – Conclusion

  12. What Chess.com Teaches US About Superhuman Capabilities, with CEO Erik Allebest

    13 augustus 2026 · 46 min

    Afspelen
    In a world of infinite gaming and entertainment possibilities, how does a centuries-old game stay so popular? Chess.com co-founder and CEO Erik Allebest joins Sarah Guo to explain how the evolution of technology has kept people coming back to chess, even when machines can beat us at the game. Erik talks about how the desire to build a MySpace-like community for chess led to the purchase of a domain name from a bankruptcy sale back in 2005, and scaled into a community with 10 million daily active users and 250 million total registered members. He also discusses the growth of the cultural relevance of chess, how investments from private equity firms General Atlantic and CVC helped grow and strengthen their platform, and how Chess.com is leveraging AI both within the business itself and to make a better product for its community. Lees meer

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    Chapters:

    00:00 – Cold Open Trailer

    01:05 – Erik Allebest Introduction

    01:48 – Chess.com Today

    02:57 – Buying and Scaling Chess.com

    06:29 – Competition and Growth

    11:52 – Chess and Cultural Relevance

    14:32 – Private Equity Investment

    19:31 – Playing Games Amid Evolving Tech

    25:09 – Tech, Skill Distribution, and Expertise

    28:40 – Chess and Cheating

    31:20 – What Makes Chess Special

    33:17 – Chess.com Future Vision

    34:54 – Founder Advice

    36:48 – AGI/ASI Predictions

    40:02 – AI Investments at Chess.com

    42:13 – How AI May Change Product at Chess.com

    43:27 – Poker Rating Algorithms

    46:07 – Conclusion

  13. Chasing Trillion-Dollar Companies, Founder Ambition, Token Budgets, and Regulatory Capture with Sarah & Elad

    6 augustus 2026 · 39 min

    Afspelen
    Is the tech industry moving too quickly, or are founders letting fear of AI labs stunt their ambitions? Sarah and Elad explore the current landscape of artificial intelligence, venture capital, and startup dynamics. They discuss the realities of building multi-trillion-dollar companies, shifting market sizes and outcome-based pricing models, and how founders are reacting to the rise of major AI labs. They also talk about what the framework for startup exits should look like, the potential for researcher burnouts in the next eighteen months as ASI looms on the horizon, bottlenecks for compute, and the impact of regulatory capture and shifting ecosystems from California to Texas. Lees meer

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    Chapters:

    00:00 – Cold Open Trailer

    00:31 – Episode Introduction

    01:44 – The Next Trillion-Dollar Company

    03:12 – Tech Waves as Punctuated Equilibria

    04:42 – TAM vs. Revenue Reality

    07:14 – Market Size vs. Speed

    10:32 – When Founders Should Sell

    14:04 – Financing and Time Cost

    17:57 – RSI and the Looming Promise of ASI

    21:49 – Compute Power Laws

    28:12 – Regulations and Disruption

    33:06 – Beyond Transformers

    34:26 – Tradeoffs - Safety vs. Progress

    39:11 – Conclusion

  14. Building an Autonomous Enterprise for Real-World Services with Netic Founder Melisa Tokmak

    31 juli 2026 · 34 min

    Afspelen
    When your AC fails in a heatwave, you don’t want a busy signal; you need a solution. Netic founder and CEO Melisa Tokmak joins host Elad Gil to explain how Netic’s autonomous AI platform acts as an intermediary between companies and customers, deploying agents to instantly handle essential services, from emergency home repairs to hospitality to pet care. Melisa describes the complexity of these real-world workloads, which have traditionally relied on large human support teams, and how over 70% of Netic’s customers interact first with AI. She also talks about the reasoning behind building a scalable product company rather than an AI roll-up, why she believes robotics will not catch up in these industries in the near future, why she doesn’t view large frontier labs as competitive threats, and how private equity’s playbook has shifted toward measurable ROI in the AI-era. Plus, why Melisa is optimistic about the impact AI will have on education. Lees meer

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    Chapters:

    00:00 – Melisa Tokmak Introduction

    00:32 – What Netic Builds

    03:53 – Automating Workflows for Essential Services

    06:26 – Building a Service vs. AI Roll-Up

    10:38 – AI for the Real World Timeline

    12:56 – Can Big Labs Compete?

    15:35 – Modern Founder Mindset

    19:09 – Screening for Agency

    22:25 – Five Year Vision

    23:53 – Selling to Slow Industries

    27:23 – How Private Equity Approached AI

    31:14 – What Excites Melisa About the Future of AI

    34:27 – Conclusion

  15. Building an Autonomous Delivery Experience with DoorDash Co-Founders Andy Fang and Stanley Tang

    23 juli 2026 · 49 min

    Afspelen
    DoorDash is not just a delivery company. From its inception, co-founders Andy Fang and Stanley Tang operated it as a robotics and autonomy company. Andy and Stanley join Sarah Guo to explain how autonomous tech and AI are reshaping consumer habits, commerce, and delivery. Andy and Stanley talk about the rollout of Ask DoorDash, a natural-language interface that’s driving both restaurant discovery and larger grocery orders. They also discuss Dot, their in-house autonomous delivery robot that has operated in Phoenix for over two years, and how it highlights the operational and hardware challenges they have faced and solved in autonomous tech. Andy and Stanley also speak about the “first and last 100 feet problem” in autonomous delivery, why multimodal strategies are the key to success, scaling autonomy and operations, and why they believe that more Dashers, not fewer, are the future of DoorDash. Lees meer

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    Chapters:

    00:00 – Andy Fang and Stanley Tang Introduction

    00:34 – Agentic Commerce and Behavioral Changes

    03:52 – Next Steps for Ask DoorDash

    06:54 – Investing in Robotics and Autonomy

    16:31 – Building Autonomous Tech in the Physical World

    21:20 – Dot: DoorDash’s Autonomous Delivery Robot

    22:08 – Collecting Realistic Data

    25:48 – Why Work at DoorDash

    28:04 – Challenges in Scaling Up Autonomy

    39:30 – Productivity Benchmarks

    44:56 – Future of Agentic Commerce

    49:10 – Conclusion

  16. Travel Through the Lens of AI with with Booking.com CEO Glenn Fogel

    9 juli 2026 · 41 min

    Afspelen
    When Glenn Fogel joined Priceline in 2000, the business was worth a few hundred million dollars. One week later, the Nasdaq peaked, eventually sending its stock down to a dollar a share. But over 25 years later, Booking Holdings has scaled over 1000x into an over $100 billion dollar global travel behemoth. Elad Gil is joined by Booking Holdings CEO Glenn Fogel to discuss his career, from law school and Wall Street to working at Priceline through the dot-com crash, and to helping grow the business into a multifaceted, dynamic travel marketplace in the AI era. Glenn explains how leveraging AI and agents such as Priceline’s ‘Penny’ makes travel planning and customer service better, while emphasizing the importance of preserving some human support for some users. He also talks about Booking’s strategy of reinvesting over $700 million into AI and other technologies while still offering stock buybacks and dividends, the durability of their scale and complexities of dealing with a large portfolio physical properties across the world, and why upskilling is so important for employees amid concerns about AI-driven job displacement. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:05 – Glenn Fogel Introduction

    00:41 – Glenn’s Early Career

    06:49 – Lessons from the Early Internet

    09:24 – Deciding Factors for Exiting

    10:56 – Travel Through the Lens of AI

    13:30 – Agentic Travel Planning

    18:59 – Agents, Token Economics, and ROI

    22:46 – Booking’s Capital Investment Philosophy

    25:23 – Scale as Durable Asset

    29:40 – Purpose and Choosing Wisely

    33:18 – AI’s Impact on Jobs

    36:38 – Upskilling in the AI Era

    38:36 – Public Perception of AI

    40:24 – Conclusion

  17. How Nuclear Will Unlock Energy Abundance with Valar Atomics Founder Isaiah Taylor

    2 juli 2026 · 1 uur 1 min

    Afspelen
    While the rest of the nuclear industry still relies on simulations and paper designs, Valar Atomics is busy splitting atoms. In fact, they just powered an NVIDIA Blackwell chip directly with a live nuclear reactor in order to power the world’s first nuclear powered website. Sarah Guo joins Valar Atomics founder and CEO Isaiah Taylor on-site at their reactor site in Utah to talk about how Valar is shifting nuclear energy from the theoretical to the practical by building and perfecting reactors via hardware iteration. Isaiah discusses why the US stopped building nuclear reactors in the 1970s, and how Valar utilized a little-known pathway via the Department of Energy, revived by a Trump administration executive order, to successfully develop and run their advanced reactor. He also shares Valar’s strategy for vertical integration, their venture-backed approach to financing, their giga-site plans, and why he believes cheap, abundant atomic energy has the power to vastly improve the quality of human life. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:57 – Isaiah Taylor Introduction

    01:30 - Valar’s Mission and Origin

    04:24 - Why Nuclear Development Stalled

    07:18 - Reviving Nuclear through DoE and Executive Order

    10:59 - Control Room Tour

    16:17 - Misunderstandings About Nuclear

    20:07 - Issues with Reliability

    22:14 - Nuclear is a Hardware Execution Problem

    24:32 - Timeline to Scale Production

    26:32 - Introducing Ward 250

    30:42 - Speed Through Simplicity

    33:33 - AI Drives Nuclear Demand

    35:02 - Running a Reactor with NVIDIA Blackwell

    36:27 - Valar’s Nuclear Conviction

    40:16 - Verticalization as Path to Scale

    43:58 - Valar’s Control Skid

    48:00 - Venture-Backed Nuclear

    50:51 - Gigasite Strategy

    53:11 - CEO Tick Rate

    55:37 - Abundant Energy and Hyper-Techno Industrialism

    1:01:27 – Conclusion

  18. Really Big Test-Time Compute in AI Changes Benchmarks, Safety and Research with OpenAI Research Scientist Noam Brown

    26 juni 2026 · 36 min

    Afspelen
    When a new AI model drops, it’s judged based on a static benchmark grid that doesn’t account for how long the model is allowed to think. How then should we measure a model’s true capability? OpenAI research scientist Noam Brown returns to talk with Sarah Guo about his latest essay on why the AI industry’s traditional benchmark grids are broken, and how large-scale test-time compute is fundamentally changing how models are evaluated. Noam explains how, if properly scaffolded, today’s models can reason for weeks or even months on complex tasks. He also discusses real-world implications of test-time compute, from building poker solver bots to disproving legendary math conjectures. Together, they also unpack the large gaps in current AI safety frameworks, explore the bottlenecks for recursive self-improvement, and look ahead at the future of multi-agent collaboration and global knowledge sharing. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:43 – Noam Brown Introduction

    01:23 – Why Benchmarks Are Broken

    04:19 – Compute Budgets and Projections

    05:34 – How Long Should Models Think?

    06:47 – Benchmark-Maxxing

    08:34 – Using Poker Bots as Evals

    11:26 – Safety Evals When Model Capability Scales With Budget

    14:41 – Release Cycle vs. Agent Runtime

    17:06 – Latent Model Capability

    20:59 – Limits on Recursive Self-Improvement

    27:09 – Large-Scale Multi-Agent Coordination

    29:11 – Competition at the Frontier

    31:51 – Breaking the Benchmark Grid Equilibrium

    33:29 – Why Benchmarks Should be Evaluated by Cost

    36:18 – Conclusion

  19. Re-engineering the Semiconductor Supply Chain with Intel CEO Lip-Bu Tan

    18 juni 2026 · 45 min

    Afspelen
    At 66 years old, instead of heading towards retirement, former Cadence CEO and legendary investor Lip-Bu Tan decided to take on the hardest job in tech: turning Intel around. Elad Gil and Sarah Guo sit down with Intel CEO Lip-Bu Tan to talk about why he took the job and what “saving” Intel actually looks like. Tan explains how his experience in startup culture informed his decisions to drive Intel’s culture towards faster decisions, focus on customer satisfaction, and engineer accountability. He also discusses his strategy to strengthen Intel’s balance sheet by welcoming investments from Jensen Huang’s Nvidia, Softbank, and the US government. Tan also shares his product roadmap that centers the CPU for agentic AI and inference, the collaboration with Elon Musk on Terafab, his investing framework for semiconductors, and his views on how AI is reshaping design and operations at, as he puts it, a ‘legacy spreadsheet’ tech company. Lees meer

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    Chapters:

    00:00 – Cold Open

    01:01 – Lip-Bu Tan Introduction

    01:24 – Why Lip-Bu Took the Reins at Intel

    03:00 – Fixing Culture

    04:08 – Intel’s 10-Year Vision

    07:57 – Working with Elon Musk on Terafab

    09:59 – Shifting Supply Chain for Semiconductors

    15:34 – Limits to Scaling and Packaging

    18:30 – Physical Limits to Engineering and Design

    20:33 – Challenges in Semiconductor Investing

    26:29 – Lessons from Cadence

    28:02 – Scaling and Investment Decisions

    32:03 – Rethinking Teams in AI Era

    34:31 – Industrial Policy and Funding

    37:25 – What Investors Misunderstand About Intel

    41:10 – Where Compute Will Live

    44:59 – Conclusion

  20. Biohub: The Future of Biology is Open-Source with Co-Founders Mark Zuckerberg, Priscilla Chan, and Head of Science Alex Rives

    10 juni 2026 · 56 min

    Afspelen
    Biohub started with an ambitious goal of curing, preventing, and managing all disease by the end of the century. A decade later, thanks to the convergence of frontier AI and biological data, that goal may have been too conservative. In this episode, Elad Gil and Sarah Guo sit down with Biohub co-founders Mark Zuckerberg and Priscilla Chan, alongside Biohub Head of Science Alex Rives. Together, they discuss Biohub’s $500 million virtual biology initiative, which integrates frontier AI with wet-lab work to build predictive world models of cells, proteins, and systems. They also talk about their newly announced open-source engine for digital protein and antibody design, ESMFold2; why Biohub is a nonprofit rather than a venture-backed startup; and how hierarchical simulations will soon allow doctors to treat patients at an individual, mechanistic level. Lees meer

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    Chapters:

    00:00 – Cold Open

    01:02 - Mark Zuckerberg, Priscilla Chan, and Alex Rives Introduction

    01:26 – Why Biohub and Their Mission

    08:27 – Integrating Frontier AI and Frontier Biology

    09:45 – Micro to Macro Biological Modeling

    14:22 – Mechanistic Interpretiability

    16:58 – Why Biohub is a Non-Profit

    21:41 – Understanding How Biology Works

    24:23 – Timeline for Curing All Diseases

    26:25 – Translating Research to Patient Impact

    28:04 – Launch of ESMFold2

    32:13 – Tackling Off-Target Effects and Edge Cases

    38:39 – Putting the Tech in Individual Hands

    41:06 – Talent at Biohub

    44:25 – What’s Next After ESMFold2

    46:10 – Connecting ESMFold2 to Agentic Systems

    46:51 – The Virtual Cell

    49:33 – Defining Success for Biohub

    51:52 – Biohub Strategy Update

    56:20 – Conclusion

  21. We Need An Ecosystem in AI, And Every Company Can Win A Place In It

    4 juni 2026 · 42 min

    Afspelen
    What does it mean for a business to truly operate at the AI frontier? In a special crossover episode at Microsoft Build, Sarah Guo and Elad Gil team up with Latent Space host “swyx” to talk with Microsoft Chairman and CEO Satya Nadella about the future of AI platforms, software development, and the tech ecosystem. Satya reflects on the latest breakthroughs from Microsoft Build, the strategic shift toward multi-model harnesses, and why private evaluations (evals) are now a company’s most important intellectual property. They also discuss how autonomous AI agents are reshaping the role of software engineers, the durability of SaaS business models, and why showing communities the ROI on data centers is so critical. Plus, Satya shares his thoughts on the economic and societal impacts of the token economy, as well as the future of AI-driven education startups. Lees meer

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    Chapters:

    00:00 – Satya Nadella Introduction

    01:48 – Reflections from Microsoft Build

    03:12 – Microsoft’s AI Training Strategy

    05:48 – Complexity of Real-World Deployment of AI

    07:33 – Augmenting Human Capital

    09:37 – Harnesses for Enterprise

    11:49 – Developer Value

    15:09 – Can Everybody Operate at the Frontier with Their Frontier Intelligence?

    15:51 – Modern Definition of IP

    17:38 – Future of Vendor vs. Enterprise Agents

    21:48 – Near-Term Predictions on Model Pricing

    24:02 – Durability of SaaS

    25:58 – What Satya’s Building

    28:18 – Future of Engineering Roles

    30:54 – How Microsoft Can Be More Ambitious

    34:36 – Data Centers and Community Impact

    38:01 – AI’s Impact on Society

    39:52 - AI and Education

    42:28 – Conclusion

  22. Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan

    28 mei 2026 · 41 min

    Afspelen
    We are now closer than ever before to living in a world where AI agents are smart enough to run our power grids and manage water supplies. How do we keep them from going rogue? Sarah Guo sits down with Maxim Bar Kogan, founder and CEO of Onyx Securities, to explore the complexities of supervising and securing autonomous agents at the enterprise level. Maxim explains Onyx’s product as an AI control plane, which oversees the permissions and flexible contexts of agents while balancing latency, cost, and reliability. He also discusses how current controls have insufficient context to monitor agent intent, tradeoffs for gradual model rollout, the need for vendor-independent oversight, and Israel’s growing AI and security talent ecosystem. Plus, why Maxim is all-in on AGI. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:45 – Maxim Bar Kogan Introduction

    01:10 – AutoGPT and Betting on Agent Actions

    05:17 – What Onyx Product Does

    07:47 – State of Deployment in Large Enterprises

    09:58 – Securing Agents

    12:45 – Why Proxies Don’t Work

    14:11 – Why Onyx Trains Its Own Models

    18:38 – Onyx’s Talent Culture

    21:24 – Mechanistic Interpretability

    23:35 – How Onyx Builds Customer Trust

    25:10 – Mitigating Risk at the Foundational Level

    27:45 – Phased Rollout of Glasswing and Daybreak

    29:11 – Large Enterprise Holdouts

    30:46 – Onyx and the Larger AI Security Space

    32:36 – Should Labs Address Model Trust and Governance?

    36:56 – What Needs to Happen in Security

    39:14 – Why Maxim is AGI-Pilled

    41:15 – Conclusion

  23. The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman

    21 mei 2026 · 31 min

    Afspelen
    Companies in Silicon Valley from Nvidia to AMD are racing to fuel the AI revolution with postage stamp-sized AI chips. Meanwhile, a chip the size of a dinner plate just fueled a $63 billion IPO for Cerebras. Elad Gil and Sarah Guo sit down with Cerebras founder and CEO Andrew Feldman to discuss the company’s journey to making one of the largest tech go-publics in history. Andrew details the multi-year journey of pioneering wafer-scale AI computing, including surviving a brutal period of being ahead of market demand. He also explains the engineering breakthroughs that led to delivering inference speeds at 20x that of standard GPUs. Andrew then shares how a remarkable $20 billion deal with OpenAI came together in only four weeks. Plus, Andrew’s thoughts on why architecting the future of AI requires the fortitude to be a “professional David” against the Goliaths of tech. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:36 – Andrew Feldman Introduction

    01:19 – Cerebras’ Evolution

    02:48 – Wafer-Scale Bet Pays Off

    06:38 – Challenges and Breakthroughs

    08:37 – Crossing the Market Chasm

    10:38 – Scaling Software and Hardware

    12:03 – Relevance of AI-Generated Coding

    13:31 – Leadership and Hiring Culture

    17:16 – When to Quit vs. Persist

    19:40 – Why Cerebras Went Public

    22:57 – The OpenAI Deal

    25:54 – Open Source and Post-Trained Workloads

    27:37 – How Speed Opens Up New Business

    30:33 – Conclusion

  24. Pax Silica: Inside the Trump Administration’s Tech Strategy with US Under Secretary of State for Economic Affairs Jacob Helberg

    14 mei 2026 · 38 min

    Afspelen
    Securing AI dominance requires more than just semiconductors; it demands a complete overhaul of how the West manages everything that goes into them, from rare earth minerals to actuators. Enter: Pax Silica. Sarah Guo and Elad Gil sit down with US Under Secretary of State for Economic Affairs Jacob Helberg to discuss the launch and expansion of Pax Silica, a 14-country economic security coalition designed to secure the entire AI supply chain. Jacob talks about the creation of a forward-deployed industrial base in the Philippines, where 4,000 acres will be developed into an “economic security zone.” He also compares and contrasts Pax Silica with China’s Belt and Road initiative, explains how the US plans to reindustrialize through automation and robotics, and explores how the Trump administration envisions making these policies durable across future presidencies. Plus, we hear why Jacob believes America to be a “global underdog.” Lees meer

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    Chapters:

    00:00 – Cold Open

    00:41 – Jacob Helberg Introduction

    01:02 – Pax Silica’s Mission

    03:51 – Investing in AI Chip Supply Chains

    05:43 – Comparing Pax Silica to China’s Belt and Road Initiative

    12:38 – Pax Silica’s Value Proposition

    14:38 – US vs. Partnered Manufacturing

    19:10 – Rare Earth Mineral Pricing

    22:16 – Role of Venture Capital in Pax Silica

    24:50 – Near vs. Long-Term Priorities

    27:09 – Making AI Policy Durable

    28:09 – How Policies Impact Entrepreneurs

    31:00 – Trump’s Entrepreneurial Administration

    33:00 – Why America is a Global Underdog

    38:00 – Conclusion

  25. Amex Global Business Travel: The World’s First AI Take Private with Long Lake CEO Alexander Taubman

    11 mei 2026 · 22 min

    Afspelen
    The world’s first AI-take-private just proved that AI can revolutionize the real economy. Long Lake Management co-founder and CEO Alexander Taubman joins Elad Gil to discuss his firm’s agreement to acquire the legacy platform American Express Global Business Travel (Amex GBT) in a deal valued at $6.3 billion. Alexander explains the mechanics of AI-driven roll-ups, and why Long Lake chooses to acquire and transform businesses rather than simply selling them software. He also talks about how Long Lake’s horizontal AI platform, Nexus, automates workflows across diverse verticals, and how automation through AI not only powers growth for their portfolio companies, but results in both satisfied customers and employees. Plus, they explore Alexander’s vision of Amex GBT as a multi-decade compounding machine. Lees meer

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    Chapters:

    00:00 – Alexander Taubman Introduction

    00:30 – Long Lake’s Nexus Platform

    03:35 – Retention and Talent Flywheel

    05:01 – Acquisition vs. Offering Software

    06:57 – Building Long Lake’s Founding Team

    10:37 – Taking American Express Global Business Travel Private

    13:36 – Taking Berkshire Hathaway’s Approach to Management

    16:37 – How AI Strategy Makes Long Lake Stand Out

    19:32 – AI Makes Services Scale

    22:00 – Conclusion

  26. Baseten CEO Tuhin Srivastava on the AI Inference Crunch, Custom Models, and Building the Inference Cloud

    1 mei 2026 · 43 min

    Afspelen
    Baseten CEO and co-founder Tuhin Srivastava sits down with Sarah Guo and Elad Gil to discuss the rapid growth of AI inference demand, Baseten’s 30x growth, and why inference is becoming the strategic “last market.” Tuhin Srivastava argues the application layer will persist because companies with unique user signals can encode value into workflows and post-train specialized models, citing examples like Abridge and support workflows. The conversation covers GPU capacity constraints, Baseten’s multi-cloud fabric across 18 clouds and 90 clusters, long-term contracting dynamics, the importance of the software layer for stickiness, evolving workloads, multichip possibilities, and operational lessons at scale. Lees meer

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    Chapters:

    00:31 Baseten growth

    01:55 Why the app layer wins

    05:57 Serving frontier customers

    07:55 Open source model mix

    09:21 Chinese models and geopolitics

    13:07 Custom inference dominates

    14:22 Post training acquisition

    17:10 When to invest in custom models

    18:35 Supply crunch and data centerse

    22:25 Longer GPU Contracts

    24:09 What Makes a Winner

    26:07 Multi Chip Future

    28:19 Runtime Roadmap

    31:08 Scaling Edge Cases

    33:48 Hiring and Leadership

    36:44 Operations Pager Culture

    38:19 Efficiency Drives Demand

    40:41 Concierge Everything Future

    42:34 Conclusion

  27. SAP: Bringing the ‘Operating System’ of a Company into the AI Era with CTO Philipp Herzig

    23 april 2026 · 46 min

    Afspelen
    More than fifty years ago, the modern idea of the standard enterprise software was birthed at SAP. Now, after managing companies through technological shifts from the mainframe to mobile, SAP is at the forefront of closing the AI adoption gap for their customers. SAP Chief Technology Officer Philipp Herzig joins Sarah Guo to talk about how SAP has remained a durable end-to-end “operating system” for its more than 400,000 customers from finance to supply chain. Philipp argues that the AI transition in businesses should focus on customer outcomes, UI changes, business processes, and the data layer. He also explains the challenges in enterprise AI adoption, including security, scaling, and data fragmentation, as well as the importance of evals and verifiability. They also discuss SAP’s suite of AI products, limitations of predictive tabular models, how SAP is shifting its pricing models in the AI era, and Philipp’s interest in quantum computing optimization. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:42 – Philipp Herzig Introduction

    01:18 – What SAP Does

    02:51 – Why SAP Endures

    06:53 – CTO Priorities and AI Push

    12:14 – Scaling AI in Enterprise

    17:06 – Verifiability and Agent Mining

    20:42 – Tool Calling vs. Computer Use

    22:11 – Domains Where Agents Deliver Value

    24:58 – Limitations of Predictive Tabular Models

    29:07 – Barriers to Enterprise Adoption

    31:54 – How AI Will ‘Uplevels’ Work

    34:03 – How AI Changes SAP’s Pricing Model

    36:41 – What Makes a Winner in the AI Era

    38:53 – Day in the Life of a CTO

    40:08 – Customer Challenges

    42:36 – Business Problem of Quantum Computing

    46:21 – Conclusion

  28. Scaling Global Organizations in the Age of AI with ServiceNow Chairman and CEO Bill McDermott

    17 april 2026 · 57 min

    Afspelen
    Few teens are business owners, but by age 16, Bill McDermott had purchased and was running a local deli. Now he runs leading global technology powerhouse ServiceNow, a company that is defining how the world’s largest organizations transform for the digital age. Sarah Guo sits down with ServiceNow CEO Bill McDermott to discuss his journey from child entrepreneur to CEO, and how he navigates his role as a leader in the age of AI. Bill argues that human connection is still a vital part of being a successful leader, and as such, AI must be used to serve people rather than substitute for ambition. He breaks down the mechanics of hyper-growth, and the art of staying customer-centric at a global scale. They also discuss the future of enterprise software, how generative AI is fundamentally reshaping the labor market, and what founders need to know about building a resilient company culture that survives economic and technological shifts. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:50 – Bill McDermott Introduction

    01:14 – Lesson from Buying a Deli

    07:35 – Leadership in the AI Era

    09:41 – How Bill Got Hired at Xerox

    15:47 – Can Agency Be Taught?

    18:40 – Seeing Change as Opportunity

    25:18 – ServiceNow as an AI Control Tower

    30:30 – Which SaaS Gets Disrupted?

    32:22 – Defining a Platform Business

    36:25 – Does AI Decrease Implementation Time?

    39:06 – Agents Will Reshape the Workforce

    40:59 – Success Signals at ServiceNow

    44:07 – Enterprise Attitudes About AI

    48:41 – How AI Has Changed Customer Conversations

    50:48 – Bill’s Curiosity Beyond ServiceNow

    52:29 – Day in the Life of a CEO

    57:27 – Conclusion

  29. The Agentic Economy: How AI Agents Will Transform the Financial System with Circle Co-Founder and CEO Jeremy Allaire

    9 april 2026 · 44 min

    Afspelen
    AI agents can already collaborate, but they lack a trustworthy medium in which to store value and execute contracts. Enter Circle’s Arc Blockchain, an economic “operating system” designed for a world where machines drive the real economy. Circle co-founder and CEO Jeremy Allaire joins Elad Gil to dive into the future of programmable money and the agentic economy. Jeremy explains why traditional banking fails to support the needs of AI agents, and how stablecoins like USDC facilitate an internet-native economy. They also discuss the tokenization of real-world assets, the move toward full-reserve banking, and Jeremy’s predictions for double-digit GDP growth as AI and blockchain reach their “broadband moment.” Lees meer

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    Chapters:

    00:00 – Cold Open

    00:05 – Jeremy Allaire Introduction

    00:21 – Origin Story of Circle

    02:11 – Rethinking the Financial System

    05:26 – The Role of Stablecoins

    09:52 – Use Cases for USDC

    11:30 – Programmable Money

    12:25 – Blockchain as Operating System

    14:37 – The Agentic Economy

    17:45 – Arc Blockchain Use Cases

    27:00 – Scaling Models and Privacy Tech

    30:45 – Securitization of Other Assets Under the Blockchain

    34:16 – Prediction Markets

    35:09 – Incremental Revenue Through GPU Usage

    37:19 – Jeremy’s 10 Year Future Vision

    41:12 – AI and GDP

    44:00 – Conclusion

  30. AI for Atoms: How Periodic Labs is Revolutionizing Materials Engineering with Co-Founder Liam Fedus

    3 april 2026 · 29 min

    Afspelen
    What happens when you apply the scaling laws of large language models to the physical work of atoms? Elad Gil sits down with Liam Fedus, co-founder at Periodic Labs, which is pioneering an AI foundation lab for atoms. Liam discusses how he pivoted from dark matter physics research to the front lines of artificial intelligence, including stints at Google Brain and working on ChatGPT at OpenAI. He talks about how Periodic is connecting massive language models to the physical world to overcome data bottlenecks in material science. Liam also shares how they use language models as an orchestration layer operating alongside specialized neural nets to run closed-loop physical experiments. They also explore the future of AGI and ASI, as well as the role of robotics in lab automation. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:05 – Liam Fedus Introduction

    00:39 – Liam’s Background at Google Brain, OpenAI

    05:14 – From ChatGPT to Materials and Atoms

    06:34 – Training Data in the Physical World

    09:52 – Generalization Across Domains

    11:31 – Models as an Orchestration Layer

    12:48 – Commercialization and Business Model

    16:10 – How Periodic’s Success May Shape the Future

    17:45 – Multidisciplinary Scaling

    19:41 – Capital and Compute

    21:12 – Hiring at Periodic

    21:44 – Thoughts on AGI and ASI

    23:30 – Timeline for Machine-Directed Self-Improvement

    25:39 – Automation and Data Generation

    27:59 – Why Liam is Excited About the Future of Robotics

    29:25 – Conclusion

  31. Andrej Karpathy on Code Agents, AutoResearch, and the Loopy Era of AI

    20 maart 2026 · 1 uur 7 min

    Afspelen
    What happens when AI agents can design experiments, collect data, and improve — without a human in the loop? Andrej Karpathy joins Sarah Guo on the state of models, the future of engineering and education, thinking about impact on jobs, and his project AutoResearch: where agents close the loop on a piece of AI research (experimentation, training, and optimization, autonomously). Lees meer

    00:00 Andrej Karpathy Introduction

    02:55 What Capability Limits Remain?

    06:15 What Mastery of Coding Agents Looks Like

    11:16 Second Order Effects of Natural Language Coding

    15:51 Why AutoResearch

    22:45 Relevant Skills in the AI Era

    28:25 Model Speciation

    32:30 Building More Collaboration Surfaces for Humans and AI

    37:28 Analysis of Jobs Market Data

    48:25 Open vs. Closed Source Models

    53:51 Autonomous Robotics

    1:00:59 MicroGPT and Agentic Education

    1:05:40 Conclusion

  32. From Coder to Manager: Navigating the Shift to Agentic Engineering with Notion Co-Founder Simon Last

    12 maart 2026 · 29 min

    Afspelen
    Notion isn’t designing AI agents that just use tools. Their agents can autonomously build their own integrations, as well as write the code needed to finish a task. Sarah Guo sits down with Notion Co-Founder Simon Last to explore Notion’s rapid evolution from a simple writing assistant to a sophisticated platform for custom AI agents. Simon discusses the technical hurdles of indexing disparate data from sources like Slack and Google Drive, as well as the internal shift toward using coding agents to build Notion itself. Plus, Simon elaborates on what he sees as a fundamental transition in productivity: moving from a tool where humans do the work, to one where humans manage a swarm of agents. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:05 – Simon Last Introduction

    00:26 – Genesis of Notion AI

    04:10 – Challenge of Semantic Indexing and Retrieval

    07:16 – The Six-Month Rewrite Cycle

    08:12 – Notion’s Coding Agent Era

    09:44 – Impact on Team Dynamics

    12:49 – Launching Custom Agents

    15:39 – Notion as the ‘Switzerland’ for Models

    17:33 – Designing APIs for Agent Customers

    20:09 – Simon’s Personal Agentic Workflows

    24:48 – Notion: Tool for Work is Now A Tool for Agents

    27:28 – How Building Has Changed for Simon

    29:00 – Conclusion

  33. How Capital is Powering the AI Infrastructure Buildout with Magnetar Capital Managing Director Neil Tiwari

    26 februari 2026 · 36 min

    Afspelen
    By the end of 2026, AI capital expenditure is projected to hit nearly $700 billion. The question isn’t who has the best model, but who has the most creative financing to build out AI infrastructure and beyond. Sarah Guo is joined by Neil Tiwari, Managing Director at Magnetar Capital, a financial innovator helping the AI industry scale from billions to trillions of dollars in CapEx. Neil explains some of the debt structures used to finance massive GPU clusters, who is taking the risk, and how the industry is maturing. Sarah and Neil also discuss how power distribution, energy storage, and physical materials like steel are the bottlenecks of the AI industry. Plus, Neil gives his take on the future of inference-optimized clouds, and why the market shift away from software and into infrastructure might be an overreaction. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:05 – Neil Tiwari Introduction

    00:26 – Magnetar’s Story

    01:28 – Why CoreWeave Helped Magnetar Win

    06:15 – Scaling CapEx Efficiently

    09:02 – Debunking GPU Collateral Risk

    11:42 – How Deal Structures Evolve

    13:01 – What Bottlenecks Buildout

    15:28 – Circular Financing Critiques

    17:35 – The Shift from Training to Inference Workloads

    23:10 – AI Factories

    24:12 – Constraints of the Current Power Grid

    28:27 – Sovereign Compute Buildouts

    29:54 – Physical AI Capital Needs

    32:48 – The Capital Rotation Away from SaaS

    36:04 – Conclusion

  34. From SaaS to AI-First: How Companies Are Reshaping Innovation

    19 februari 2026 · 41 min

    Afspelen
    In this episode of No Priors, Sarah and Elad dive into the evolving landscape of software, exploring how AI is transforming the traditional SaaS model. They discuss whether SaaS as we know it is coming to an end, what new business and sales strategies are emerging, and how AI is reshaping the way software is built, sold, and scaled. The conversation also examines whether or not these shifts are a good thing for both big and small companies, and how coders and software experts are reacting to abrupt AI transitions. They also dig into how AI is reshaping sales, automating workflows, and enabling more predictive customer strategies. Beyond individual companies, they examine how tech giants are increasingly dominating the S&P 500, and what this concentration of power means for the future of startups, innovation, and the broader entrepreneurial ecosystem. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:35 – The SaaS-polcalypse discussion

    4:55 – AI Change Management in Large vs. Small Companies

    05:43 – “Is Software Eating the World?”

    08:38 – Addressing the Unsolved Problems

    14:00 – The Noise of the Last Month vs. Excitement

    21:32 – What Proportion of GDP is Tech?

    23:20 – Market Cap Shifts

    25:02 – As a Company, When Should You Sell?

    29:05 – Multi-Product Bundle Defense

    30:45 – Conclusion

  35. Rivian’s Roadmap to AI Architecture and Autonomy with Founder and CEO RJ Scaringe

    12 februari 2026 · 32 min

    Afspelen
    Autonomous vehicle technology has moved past human-coded rules and into an era of neural networks and custom computer chips. And to solve the most difficult driving scenarios, electric vehicle company Rivian abandoned its original technology platform to build a vertically integrated data stack. Sarah Guo sits down with Rivian Founder and CEO RJ Scaringe to explore the seismic shift in the automotive industry toward AI-driven, software-defined vehicles . RJ discusses the move away from function or domain-based architecture for vehicle electronic systems to software-defined architecture, which allows for dynamic, monthly updates to features in Rivian’s vehicles. RJ also talks about the upcoming launch of Rivian’s R2 model, which aims to be a distinct, affordable, mass-market alternative to the Tesla Model Y. Plus, RJ shares his vision for a future where vehicles don’t just drive us, but inspire personal freedom and exploration. Lees meer

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    Chapters:

    00:00 – Cold Open00:35 – RJ Scaringe Introduction0:58 – Rivian’s Autonomy Evolution05:19 – Why Rivian’s Tech is Vertically Integrated10:06 – Levels of Autonomous Driving Technologies14:00 – Importance of a Software-Defined Architecture19:28 – Differentiating Autonomous Vehicle Models23:20 – R2: The First Mass Market Autonomous Vehicle25:02 – Do Americans Want EVs?29:05 – How Our Relationship to Vehicles is Evolving30:45 – Conclusion

  36. Introducing 4D Creation Open Beta: NPCs, 4D Worlds, and the Future of Gaming with Roblox CEO Dave Baszucki

    5 februari 2026 · 44 min

    Afspelen
    From “virtual doppelgängers” to “real-time dreaming,” online gaming platform Roblox is using AI technology to build the “Holodeck” envisioned in science fiction decades ago. Sarah Guo and Elad Gil sit down with Roblox CEO Dave Baszucki at Roblox headquarters to explore the intersection of AI, physics simulation, and the future of human connection. Dave discusses the evolution of the 4D creation tool in Roblox, a high-fidelity simulation that enables thousands of people to interact in real-time with photo-realistic graphics and acoustic physics. Dave reveals how Roblox is leveraging 13 billion hours of monthly user data to train native AI models that go beyond simple LLMs, enabling NPCs that can navigate and play games with human-like intuition. He also talks about how immersive communication will change video conferencing, how Roblox searches for unlikely talent outside of traditional elite universities, and how he balances rapid weekly iterations with keeping a “long view” on Roblox’s vision. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:36 – Dave Baszucki Introduction

    01:16 – Realizing Robolox’s 20-Year Vision

    05:29 – Using 4D Immersive Simulations in Virtual Interactions

    08:22 – Physics Engine vs. Photorealism

    11:50 – Storing Roblox History as Vector Data

    14:00 – Training NPCs - Moving Beyond LLMs

    18:05 – The Future of the Game Designer

    19:54 – Video Latent World Models

    23:53 – Social Simulation - AI Companions and Virtual Relationships

    27:26 – Why Asset Costs Haven’t Changed the Gaming Industry

    29:52 – AI Coding in Roblox Studio

    31:36 – The Roblox Creator Economy

    33:57 – Long-Term Conviction vs. Weekly Iteration

    37:50 – Dave’s Hiring Philosophy for Roblox

    43:44 – Conclusion

  37. Why Cryopreservation is No Longer Science Fiction with Until Co-founder and CEO Laura Deming

    29 januari 2026 · 31 min

    Afspelen
    What if we could pause biological time to wait for a cure for a disease? Thanks to innovations and research in reversible cryopreservation, this possibility is no longer just science fiction. Sarah Guo sits down with Laura Deming, CEO and co-founder of biotech startup Until, to dive deep into the growing field of reversible cryopreservation. Laura talks about how her time as a Thiel Fellow as well as her founding of the Longevity Fund fueled her obsession with solving the “social blindspot” of aging. Laura details how her new startup, Until, seeks to build tools that allow for “pressing pause” on biological time, starting with human organs with the hopes of scaling up to full body medical hibernation. Together, they also discuss why ice is the enemy of tissue, using engineering tools to help solve biological problems, and how this technology may revolutionize organ transplantation by removing time as a variable. Lees meer

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    Chapters:

    00:00 – Cold Open

    01:08 – Laura Deming Introduction

    01:53 – Why Laura Focused on Cryo Preservation and Longevity

    06:20 – Bringing on Co-Founder Hunter Davis

    07:55 – Until’s Goal

    10:10 – Other Use Cases for Cryo Technology

    12:22 – Scientific Challenges in Cryo Tech

    15:36 – Using Engineering Principles to Solve Biological Problems

    20:18 – Scaling Up Cryo Preservation

    21:48 – Leading and Recruiting at Until

    25:02 – Why Hasn’t Cryo Tech Been Worked On More?

    27:14 – Making Time Not a Variable in Organ Transplants

    29:06 – Changing How the Molecular World is Depicted

    30:47 – Conclusion

  38. No Priors Live: Building Durable Software in the AI Age with MongoDB President & CEO CJ Desai

    22 januari 2026 · 37 min

    Afspelen
    Why are there only a handful of companies in the world with over $10 billion in pure-play software revenue? CJ Desai believes the reason is that products are replaceable, but platforms are forever. For No Priors’ very first live from MongoDB.local SF, Sarah Guo is joined by CJ Desai, CEO and President of software developer MongoDB, to discuss the shifting landscape of enterprise software. CJ discusses whether AI will erode the value of software, and what truly constitutes a “moat” in the age of generative AI. CJ also talks about why AI adoption with Fortune 500-sized companies is still lagging, the importance of customer relationships, and why the “bear thesis” on SaaS may be overblown. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:58 – CJ Desai Introduction

    01:38 – The AI Stack and the Future of Software

    04:18 – Why Platforms, Not Products, Are Sticky

    09:59 – Vibe Coding and the Threat of On-Demand Apps

    12:15 – Paths to Success for Software Vendor Incumbents

    14:24 – How CJ Chose MongoDB

    18:55 – Debunking the SaaS Bear Thesis

    22:07 – Fortune 500 Perspectives on AI Value

    24:24 – Can AI Native Startups Replace Systems of Record?

    28:10 – The Importance of Customer Relationships

    31:46 – Managing Through Massive Technology Transitions

    36:37 – Conclusion

  39. AI and the Future of Warfare with US Under Secretary of War Emil Michael

    15 januari 2026 · 44 min

    Afspelen
    Today’s arms race looks a little different from those of the past. Under the Trump administration, the US Department of War (DoW) is deploying generative AI to millions of employees in order to maintain a strategic edge over our global adversaries. Sarah Guo and Elad Gil sit down with Emil Michael, the Under Secretary of War for Research and Engineering of the United States, to discuss the radical technological transformation of the US military. Emil outlines the architecture and launch of GenAI.mil, a DoW internal AI platform powered by Gemini and Grok that reached over one million unique users in its first 30 days. He also highlights critical technology priorities for national security, including hypersonics, direct energy, and autonomous drone swarms. Together, they also explore the urgent need to rebuild the American defense industrial base and end dependency on foreign supply chains for critical materials, as well as how Emil is recruiting the next generation of “fixer-builder” workers to serve their country in government. Lees meer

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    Chapters:

    00:00 – Cold Open

    00:00 – Emil Michael Introduction

    00:58 – Emil’s Role at the Department of War

    05:22 – Innovation Priorities for the DoW

    08:27 – Shift Toward Autonomous Defense Technologies

    10:41 – Identifying Common Needs Across the DoW

    12:02 – Architecting GenAI.mil

    13:48 – Applied AI Initiatives at the DoW

    15:57 – The Future of Warfare

    17:55 – Recruiting for DoW

    19:33 – Arsenal of Freedom Tour

    22:25 – Opportunities for Entrepreneurs at DoW

    25:49 – Speeding Up and Scaling DoW Initiatives

    28:37 – Innovation in Defense Tech

    30:00 – Change Management in Government

    32:09 – Rebuilding the Defense Industrial Base

    37:27 – Initiatives and Opportunities at the Office of Strategic Capital

    41:41 – Lessons from Emil’s Government Experience

    44:30 – Conclusion

  40. NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrative

    8 januari 2026 · 1 uur 16 min

    Afspelen
    Even if ChatGPT never existed, the tech giant NVIDIA would still be winning. The end of Moore’s Law—says NVIDIA President, Founder, and CEO Jensen Huang—makes the shift to accelerated computing inevitable, regardless of any talk of an AI “bubble.” Sarah Guo and Elad Gil are joined by Jensen Huang for a wide-ranging discussion on the state of artificial intelligence as we begin 2026. Jensen reflects on the biggest surprises of 2025, including the rapid improvements in reasoning, as well as the profitability of inference tokens. He also talks about why AI will increase productivity without necessarily taking away jobs, and how physical AI and robotics can help to solve labor shortages. Finally, Jensen shares his 2026 outlook, including why he’s optimistic about US-China relations, why open source remains essential for keeping the US competitive, and which sectors are due for their “ChatGPT moment.” Lees meer

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    Chapters:

    00:00 – Jensen Huang Introduction

    00:17 – Biggest AI Surprises of 2025

    04:12 – AI and Jobs: New Infrastructure and Demand for Skilled Labor

    09:03 – Task vs. Purpose Framework in Labor

    12:31 – Solving Labor Shortages with Robotics

    15:14 – The Layer Cake of AI Technology

    18:39 – The Importance of Open Source

    21:52 – The Myth of “God AI” and Monolithic Models

    23:54 – Addressing the “Doomer” Narrative and Regulation

    29:25 – The Plummeting Cost of Compute and Tokenomics

    35:09 – The Return to Research

    37:49 – Future of Coding and Software Engineering

    43:20 – The Industries Due For Their “ChatGPT” Moments

    46:00 – The Evolution of Self-Driving Cars and Robotics

    54:06 – Energy Demand and Growth for AI

    58:49 – 2026 Outlook: US-China Relations and Geopolitics

    1:04:43 – Is There An AI Bubble?

    1:16:20 – Conclusion

  41. The 2026 AI Forecast: Foundation Models, IPOs, and Robotics with Sarah Guo and Elad Gil

    19 december 2025 · 41 min

    Afspelen
    Pundits are screaming about the so-called “AI bubble.” But historically slow-to-adopt industries like medicine and law are actually embracing AI at an unprecedented speed. Sarah Guo and Elad Gil look ahead to 2026, breaking down the major trends that will define the next era of AI technologies. They explore the future of AI foundational models, predicting breakthroughs in solving complex scientific problems. They share competing views on the timeline for robotics and self-driving cars, debating whether startups have a chance for survival or if incumbents will dominate. Elad and Sarah also discuss the return of tech IPOs and M&As, forecast a new wave of AI consumer agent software, and explore why consumer product innovation has been slower than expected. Finally, the two offer bold non-AI predictions for the new year, including the acceleration of defense tech startups and the second-order underrated impacts of GLP-1 drugs on biohacking. Lees meer

    Plus, stick around to hear predictions on what’s next for AI in 2026 from some of tech’s biggest names and industry leaders. We hear from Jensen Huang (Founder/CEO NVIDIA), Arvind Jain (Founder/CEO, Glean), Winston Weinberg (Founder/CEO, Harvey), Scott Wu (Founder/CEO, Cognition), Raiza Martin (Founder/CEO Huxe), Zach Ziegler (Founder/CTO, Open Evidence), Aaron Levie (Founder/CEO, Box), Misha Laskin (Founder/CEO, ReflectionAI), Noam Brown (Research Scientist, OpenAI), Joshua Meier (Founder/CEO Chai Discovery), Bryan Johnson (Living Man, Don't Die), Sholto Douglas (Member of the Technical Staff, Anthropic), Ben & Asher Spector (Stanford PhDs) and Dylan Patel (Founder/CEO SemiAnalysis).

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    Chapters:

    00:00 – Introduction

    02:43 – AI Predictions for 2026

    04:40 – Adoption of AI in Professional Fields

    07:17 – Robotics and Self-Driving Cars

    08:25 – Robotics: Incumbents vs. Startups

    13:59 – Future of I…

  42. The Future of Voice AI: Agents, Dubbing, and Real-Time Translation with ElevenLabs Co-Founder Mati Staniszewski

    11 december 2025 · 42 min

    Afspelen
    Imagine learning chess from a grand master, or negotiating tactics from an expert FBI hostage negotiator. ElevenLabs’ voice AI technology is making that unlock possible. Sarah Guo sits down with Mati Staniszewski, co-founder of ElevenLabs, to explore how the three-year old company is transforming how humans interact with technology through voice. Mati talks about the technical challenges of building foundational audio models, the strategic thinking between conducting research and deploying products in tandem, and why voice is the ultimate interface for everything from computers to robots to immersive media. They also discuss how the coming revolution of AI personal tutors will shift agentic AI from reactive to proactive support, break down language barriers globally, and even provide the framework for agentic government services. Lees meer

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    Chapters:

    00:00 – Mati Staniszewski Introduction

    00:46 – 11 Labs: Growth and Scale

    02:46 – Voice Technology and Applications

    06:52 – Research and Product Development

    12:36 – Voice Quality and Customer Preferences

    17:54 – Agent Platform and Use Cases

    23:21 – Choosing the Right Technology Partner

    26:43 – The Role of Foundation Models

    29:58 – Open Source Models and Future Trends

    32:37 – Research and Development Focus

    36:53 – Future of AI Companions and Education

    41:37 – Conclusion

  43. Scaling Legal AI and Building Next-Generation Law Firms with Harvey Co-Founder and President Gabe Pereyra

    5 december 2025 · 44 min

    Afspelen
    In just over three years, Harvey has not only scaled to nearly one thousand customers, including Walmart, PwC, and other giants of the Fortune 500, but fundamentally transformed how legal work is delivered. Sarah Guo and Elad Gil are joined by Harvey’s co-founder and president Gabe Pereyra to discuss why the future of legal AI isn’t only about individual productivity, but also about putting together complex client matters to make law firms more profitable. They also talk about how Harvey analyzes complex tasks like fund formation or M&A and deploys agents to handle research and drafting, the strategic reasoning behind enabling law firms rather than competing with them, and why AI won’t replace partners but will change law firm leverage models and training for associates. Lees meer

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    Chapters:

    00:00 – Gabe Pereyra Introduction

    00:09 – Introduction to Harvey

    02:04 – Expanding Harvey’s Reach

    03:22 – Understanding Legal Workflows

    06:20 – Agentic AI Applications in Law

    09:06 – The Future Evolution of Law Firms

    13:36 – RL in Law

    19:46 – Deploying Harvey and Customization

    23:46 – Adoption and Customer Success

    25:28– Why Harvey Isn’t Building a Law Firm

    27:25 – Challenges and Opportunities in Legal Tech

    29:26 – Building a Company During the Rise of Gen AI

    37:24 – Hiring at Harvey

    40:19 – Future Predictions

    44:17 – Conclusion

  44. Sunday Robotics: Scaling the Home Robot Revolution with Co-Founders Tony Zhao and Cheng Chi

    19 november 2025 · 39 min

    Afspelen
    The robotics industry is on the cusp of its own “GPT” moment, catalyzed by transformative research advances. Enter Memo, the first general-intelligence personal robot, focused on taking on your chores to give back your time. Sarah Guo sits down with Tony Zhao and Cheng Chi, co-founders of Sunday Robotics, to discuss the state of AI robotics. Tony and Cheng speak to the challenges they faced while developing their technology, the innovative glove system employed to scale real-world data collection, and the impact of diffusion policy and imitation learning. Plus, they talk about their 2026 in-home beta program and why personal robots are only a handful of years away from mass deployment. Lees meer

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    Chapters:

    00:00 – Tony Zhao and Cheng Chi Introduction

    00:56 – State of AI Robotics

    02:11 – Deploying a Robot Pre-AI

    03:13 – Impact of Diffusion Policy

    04:29 – Role of ACT and ALOHA

    07:02 – Imitation Learning - Enter UMI

    10:38 – Introducing Sunday

    11:57 – Sunday’s Robot Design Philosophy

    15:05 – Sunday’s Shipping Timeline

    19:02 – Scale of Sunday’s Training Data

    23:58 – Importance of Data Quality at Scale

    24:56 – Technical Challenges

    27:59 – When Will People Have Home Robots?

    30:48 – Failures of Past Demos

    32:34 – Sunday’s Demos

    36:53 – What Sunday’s Hiring For

    39:10 – Conclusion

  45. How AI Will Accelerate Breakthroughs in Biotechnology with Benchling CEO Sajith Wickramasekara

    13 november 2025 · 48 min

    Afspelen
    Bringing new drugs to market is a costly, time-consuming endeavor. On top of that, most medicines fail at some point in the research and development phase. Sarah Guo is joined by Sajith Wickramasekara, co-founder and CEO of Benchling, a company that has not only become the central system of record for biotech R&D, but uses AI agents to assist scientists to help fix this broken system. Sajith details the roadblocks that impede drug development and approval, the “dot com” bust occurring in biotech, and how AI agents and simulation can help scientists experiment faster. Plus, they talk about China’s competitive rise in the pharma space, and the unique challenges of building an interdisciplinary culture that merges the worlds of science and software. Lees meer

    Rebuild biotech for the AI era - Sajith Wickramasekara

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    Chapters:

    00:00 – Sajith Wickramasekara Introduction

    00:38 – Origin and Mission of Benchling

    02:08 – The Drug Development Process

    03:49 – Current State of the Biotech industry

    08:46 – AI’s Role in Biotech

    16:14 – Benchling AI and Its Impact

    18:36 – The Future of AI in Biotech

    26:28 – Debunking AI Drug Discovery Myths

    28:50 – Data’s Role in Biotech

    29:35 – The Importance of Tools in Pharma

    31:28 – AI’s Impact on Scientific Research

    34:55 – Building a Biotech Company

    40:18 – Interdisciplinary Collaboration in Biotech

    43:06 – Tech and Biotech: Learning from Each Other

    48:16 – Conclusion

  46. Meet Snowflake Intelligence: A Personalized Enterprise Intelligence Agent with Sridhar Ramaswamy

    6 november 2025 · 42 min

    Afspelen
    Snowflake is moving beyond the data warehouse. Its new Snowflake Intelligence is an agentic platform for every employee, not just data teams. Sarah Guo sits down with Snowflake CEO Sridhar Ramaswamy to discuss his first 18 months at the helm, as well as the massive pivot to make the data giant AI-first. Sridhar talks about Snowflake Intelligence, the company's new AI agent platform, and its implications for enterprise data management. They also explore how Sridhar navigates partnerships with major tech companies, how he fosters a culture of continuous improvement within the organization, and how he envisions Snowflake’s future as an integral data-driven enterprise solution. Lees meer

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    Chapters:

    00:00 – Sridhar Ramaswamy Introduction

    00:42 – Snowflake’s Market Adaptation

    03:14 – Snowflake’s Evolution and AI Integration

    05:44 – Introducing Snowflake Intelligence

    09:01 – Snowflake Intelligence User Experience

    11:55 – Drawing the Line Between Data, Agent System, and App

    13:30 – Leadership and Organizational Changes

    16:19 – How Being an Investor, Entrepreneur Informed Sridhar’s Leadership

    18:50 – Importance of Product-Market Fit

    22:46 – Snowflake’s Strategic Positioning

    27:10 – Snowflake’s Partnership Strategy

    30:20 – How Sridhar Sees the ROI of AI

    35:09 – How AI Changes the Ad Model

    38:15 – Why LLMs Still Need Search

    42:11 – Conclusion

  47. The Best of 2025 (So Far) with Sarah Guo and Elad Gil

    31 oktober 2025 · 19 min

    Afspelen
    2025 has thus far been a year of great leaps and advances in AI technology. And Sarah and Elad have spoken with some of the most enterprising founders and scientific minds in the field of AI today. So we’re revisiting a few of our favorite conversations on No Priors so far in 2025 – Winston Weinberg (Harvey), Dr. Fei-Fei Li (World Labs), Brendan Foody (Mercor), Dan Hendrycks (Center for AI Safety), Noubar Afeyan (Flagship Pioneering), Brandon McKinzie and Eric Mitchell (OpenAI o3), Isa Fulford (OpenAI), Arvind Jain (Glen), and Dr. Shiv Rao (Abridge). Lees meer

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    Chapters:

    00:00 – Episode Introduction

    0:21 – Winston Weinberg on Leaning into New Capabilities

    02:01 – Dr. Fei-Fei Li on Spatial Intelligence

    04:13 – Brendan Foody on AI Disruption in the Workforce

    06:10 – Dan Hendrycks on the Geopolitics of Superintelligence

    08:06 – Noubar Afeyan on Entrepreneurship

    10:38 – Brandon McKinzie and Eric Mitchell on Reasoning Models

    12:41 – Isa Fulford on Training Deep Research

    13:49 – Arvind Jain on Innovating Enterprise Search

    16:21 – Dr. Shiv Rao on AI’s Human Impact

    18:58 – Conclusion

  48. Reinventing the Developer Terminal with Warp Co-Founder and CEO Zach Lloyd

    23 oktober 2025 · 27 min

    Afspelen
    For decades, the developer terminal has remained largely unchanged. But for Warp CEO and co-founder Zach Lloyd, reinventing this core tool is the key to unlocking AI agents for coding, debugging, and automating the entire development process. Zach joins Elad Gil to discuss how seeing this opportunity for innovation led to Warp’s agentic terminal for developers. Zach talks about the phases of software development, from coding by hand to the current "develop by prompt" era, and the coming age of fully automated development. Plus, Zach and Elad explore the deep philosophical questions around intelligence versus consciousness in AI models, and what it would take to believe a computer program is truly aware. Lees meer

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    Chapters:

    00:00 – Zach Lloyd Introduction

    00:32 – AI, Intelligence, and Consciousness

    06:55 – What Warp Does

    07:38 – Benefits of the Terminal as a Launchpoint

    08:27 – Features Driving Warp’s Adoption

    09:12 – Zach’s View of the Coding Market

    10:27 – Evolution of Coding Development

    12:45 – Importance of Senior Engineer Expertise

    14:11 – Future of Security and Other Dev Tools

    22:22 – Why Zach Focused on the Terminal

    23:52 – The Future of the Model Layer

    25:36 – What Zach’s Excited About in the AI Dev World

    27:18 – Conclusion

  49. Unlocking the Road to Energy Abundance with Base Power CEO and Co-Founder Zach Dell

    15 oktober 2025 · 32 min

    Afspelen
    With demand from AI for energy already exploding, our electric grid is facing a crisis. Base Power CEO and co-founder Zach Dell is ready to re-architect its future from the ground up. Zach sits down with Elad Gil to talk about Base Power’s recent $1 billion fundraise from major investors. Zach discusses the role of energy across industries, as well as Base Power's mission to lower electricity costs through vertical integration. Zach and Elad also explore the future of energy, the role of batteries in transforming the grid, and the regulatory challenges facing the energy industry. Plus, Zach pitches why top talent should make their careers in energy generation. Lees meer

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    Chapters:

    00:00 – Zach Dell Introduction

    00:50 – Base Power’s Vision

    02:15 – Base Power’s Products and Services

    04:00 – What Drew Zach to Working on Power

    05:12 – Base Power’s Founding Team

    06:58 – Base Power’s Hiring Needs

    08:02 – How Zach Hired an Awesome Founding Team

    09:51 – How Do We Meet Energy Demands?

    12:58 – How Viable is Nuclear Energy?

    17:04 – Global Energy Cost Dynamics

    17:41 – Future of AI Training Centers

    18:32 – What Will Drive Energy Buildout

    20:38 – Drivers of Energy Transmission Cost

    22:30 – Regulation and the Energy Industry

    23:52 – What Zach is Optimistic About in Energy

    24:42 – Cultivating Base Power’s Culture

    27:26 – Zach’s Philosophy on Capitalization

    30:00 – How Base Power Uses Scale

    31:57 – Conclusion

  50. Humans&: Bridging IQ and EQ in Machine Learning with Eric Zelikman

    9 oktober 2025 · 37 min

    Afspelen
    The AI industry is obsessed with making models smarter. But what if they’re building the wrong kind of intelligence? In launching his new venture, humans&, Eric Zelikman sees an opportunity to shift the focus from pure IQ to building models with EQ. Sarah Guo is joined by Eric Zelikman, formerly of Stanford and xAI, who shares his journey from AI researcher to founder. Eric talks about the challenges of building human-centric AI, integrating long-term memory in models, and the importance of creating AI systems that work collaboratively with humans to unlock their full potential. Plus, Eric shares his views on abunance and what he’s looking for in talent for humans&. Lees meer

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    Chapters:

    00:00 – Eric Zelikman Introduction

    00:29 – Eric’s Early Interest in AI

    01:29 – Challenges in AI and Automation

    02:25 – Research Contributions

    06:14 – Q-STaR and Scaling Up AI

    08:14 – Current State of AI Models

    15:23 – Human-Centric AI and Future Directions

    22:08 – Eric’s New Venture: humans&

    35:33 – Recruitment Goals for humans&

    36:57 – Conclusion