No Priors: AI, Machine Learning, Tech, & Startups

当AI智能体能够自主设计实验、收集数据并持续优化，而无需人类介入时，会发生什么？安德烈·卡帕西与莎拉·郭展开对话，探讨模型现状、工程与教育的未来、对就业市场的影响，以及他的项目AutoResearch——在该项目中，智能体能够自主完成AI研究的闭环（包括实验设计、模型训练与优化）。 00:00 安德烈·卡帕西介绍 02:55 当前能力边界何在？ 06:15 编程智能体的精通形态 11:16 自然语言编程的二级效应 15:51 为何选择AutoResearch 22:45 AI时代的相关技能 28:25 模型特化 32:30 构建更多人类与AI的协作界面 37:28 就业市场数据分析 48:25 开源与闭源模型之争 53:51 自主机器人技术 1:00:59 MicroGPT与智能体教育 1:05:40 结语

吴恩达始终处于快速演变的AI技术前沿，创立了Google Brain、AI Fund和DeepLearning.AI等公司和项目。因此他比任何人都更清楚，那些在2025年仍沿用2022年运营方式的创始人正在犯错。Sarah Guo和Elad Gil与这位AI革命教父展开对话，探讨智能体AI的崛起，以及这项技术如何彻底改变了从成功创始人的特质到小团队价值等一切要素。他们讨论了未来能力增长的潜在来源、模型自我进化的可能性，以及吴恩达为何不喜欢"氛围编程"这个术语。此外，吴恩达还论证了组织中的每个人——而不仅仅是工程师——都应该学习编程的理由。 每周订阅新播客。发送邮件至show@no-priors.com反馈意见 关注我们的Twitter账号：@NoPriorsPod | @Saranormous | @EladGil | @AndrewYNg 章节： 00:00 – 吴恩达介绍 00:32 – 能力增长的下一个前沿 01:29 – 吴恩达对智能体AI的定义 02:44 – 构建真正智能体的障碍 06:09 – 智能体AI的前沿领域 08:12 – 模型会自我进化吗？ 09:05 – 氛围编程 vs AI辅助编程 09:56 – 氛围编程是否在改变创业本质？ 11:35 – 加速项目管理 12:55 – 成功创始人画像的演变 19:23 – 寻找优秀产品人才 21:14 – 为单一用户画像还是多用户画像构建 22:47 – AI时代领导者与团队的必备条件 28:21 – 保持小团队的价值 32:13 – 下一个行业变革 34:04 – 投资公司与孵化器的自动化未来 37:39 – 技术型人才首次创业 41:08 – AI未来五年的广泛影响 41:49 – 结语

What happens when every employee becomes a builder without understanding security, compliance, or where company data goes? You end up with untracked agents triggering other agents on live enterprise data. Ofir Ehrlich and Gonen Stein of Eon join Elad Gil on No Priors to discuss the rapid rise of shadow AI, non-human identities, and how to protect enterprise data.

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. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Eon_io_ | @OfirEhrlich 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

Most BCI companies want to help you talk to AI faster. Max Hodak explains why Science Corporation is focused instead on restoring vision, hearing, and eventually achieving substrate independence.

"If you apply enough compute to matter, you get this thing that looks like intelligence." Max Hodak on why AI models and brains seem to represent concepts using the same underlying geometry.

Do 5 chess puzzles a day. Multiply that by 1,000. You've done 5,000 puzzles, and you're a different player. It's not the one day. It's the habit compounding over time. Chess.com CEO Erik Allebest on why this applies to AI too, it's like having access to a professor's office, except it's in your pocket all the time.

How do you restore vision to the blind? Max Hodak breaks down PRIMA, the chip implanted under the retina that restores vision to patients who've gone blind. "You can think of it like a cochlear implant for the eye." New episode of No Priors, out now.

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. 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

Alex Rives on ESMFold, BioHub's open source system for scientific discovery in protein biology: 1. They folded over 1.1 billion proteins and predicted every single structure. 2. The model learned protein biology so well it hit state of the art on every benchmark they threw at it. 3. They never once trained it on antibodies, but antibody design came out the other side anyway. Experiments that used to mean screening millions of antibodies in a lab can now just run on a computer.

The startup playbook says: hire a technical co-founder, raise a bunch of money, get an office, go after a big market, spend on customer acquisition. Chess.com's CEO did the opposite of every single one of those. Hired a friend from a state school. Worked remotely. Never raised a dollar. Picked a tiny market nobody wanted. His advice for founders today: stop listening to the advice.

The hardest part of autonomous delivery isn't driving. It's the last 100 feet.

Chess.com CEO Erik Allebest has a new side project: Revamping poker to rank players by rating, not chip count. His bet? People will end up caring about their poker rating as much as their bankroll. On the latest episode of No Priors, Erik breaks down Gambit.com and applying the Chess.com playbook to a whole new game:

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 Utah nuclear facility 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. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @isaiah_p_taylor | @valaratomics 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

The AI supply chain is completely dominated by China. And if you think it's just about chips, you're wrong. China leads the world in robotics too. Under Secretary of State Jacob Helberg says that's exactly where America is making its next big bet.

"A superhuman intelligence can be used for good or for evil. It's going to depend on the people in charge." On No Priors, Chess.com CEO Erik Allebest shares why AGI isn't just a technology problem; it's a cultural one:

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. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @chesscom | @erikallebest 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

Are founders scared of the big labs? Elad Gil says some of the most talented builders are now going after niche markets, not because the opportunity is small, but because they're scared of competing head-on with the labs.

70% of France's grid is powered by nuclear energy with zero major accidents. The U.S. stalled at 18% and hasn't built a reactor in 40 years. Elad Gil and Sarah Guo on how the anti-nuclear safety lobby of the 1970s killed abundant clean energy in America, and why AI is facing the same crossroads today.

18 years ago, Intel CEO Lip-Bu Tan would walk into a room of VC partners to pitch semiconductors, and half of them would walk out before he finished. Today, Jensen Huang runs a $5.3 trillion company. Lisa Su runs one near $800 billion. Tan's is close to $600 billion. Nobody seems to be walking out of the room anymore.

"People keep talking about someday there'll be a multi-billion dollar single-person company. That was basically Minecraft. It already happened 15 years ago." Elad Gil on how AI is supercharging that:

On the latest No Priors episode, Sarah Guo and Elad Gil discuss the intense pace of AI development, and why timelines toward AGI remain so difficult to predict.

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. Apply for Embed - Conviction’s Catalyst for AI-Native Startups: https://embed.conviction.com/ Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil 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

"AI安全市场并未反应过度。" 10年前，由人工智能驱动的攻击还像是需要50年才能解决的问题。现在它突然降临，安全架构也需要同样迅速地进化。 身份、防火墙、端点检测——所有这一切都需要针对AI攻击面进行重建。 Onyx Security的Maxim Bar Kogan阐述了企业需要部署的基础组件。

Valar Atomics was quoted $5 million and 2.5 years to build the brain of their nuclear reactor. That wasn't fast enough. Isaiah Taylor shares what they did instead:

"Look outside your window. Every building would need to be 3D printed for robotics to do what we're doing today." Will humanoid robots replace blue-collar trades? Netic founder Melisa Tokmak explains why physical automation in essential services is much further out than people think.

"Silicon Valley embodies the quintessence of the underdog mentality." This wasn't said by a VC or a founder. It was said by Under Secretary of State Jacob Helberg. His take: like an underestimated founder, every time the world counted America out, it came back harder. America's foreign policy is starting to sound a lot like Silicon Valley.

Netic CEO Melisa Tokmak explains why winning in enterprise AI takes more than great models. It takes focus, deep product work, and solving the last mile.

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. Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @netic_AI | @melisatokmak 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

Under Secretary of State Jacob Helberg just revealed the US claimed 4,000 acres in the Philippines for AI. That's a third of Manhattan, handed over for one purpose: building a private sector industrial base to secure America's AI supply chain. This is what competing with China actually looks like. Pax Silica is the 14-country coalition behind it, and it's the most ambitious economic security plan America has ever built.