Y Combinator

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頻道・共 2 個節目

科技

科技

每週更新兩次
科技

科技

隔週更新

4 天前

Fei-Fei Li: Spatial Intelligence is the Next Frontier in AI

A fireside with Dr. Fei-Fei Li on June 16, 2025 at AI Startup School in San Francisco.Dr. Fei-Fei Li is often called the godmother of AI—and for good reason. Before the world had AI as we know it, she was helping build the foundation.In this fireside, she recounts the creation of ImageNet, a project that helped ignite the deep learning revolution by providing the data backbone modern computer vision needed. She walks through the early belief in data-driven methods, the shock of seeing convolutional networks outperform expectations in 2012, and how those breakthroughs led to captioning, storytelling, and ultimately, generative models.Now, she’s taking on one of AI’s hardest frontiers: spatial intelligence. Fei-Fei shares why modeling the 3D world is essential for AGI—and why it may be even more difficult than language.

4 天前

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44 分鐘
6月27日

Legendary Consumer VC Predicts The Future Of AI Products

Kirsten Green, founder of Forerunner Ventures, has backed some of the most iconic consumer brands of the past two decades — from Warby Parker to Chime to Dollar Shave Club. In this conversation with Garry, she shares how great products (not marketing tricks) still win, why AI is unlocking a new kind of emotional relationship between consumers and technology, and what founders can learn from the messy creative stage we're in right now. She also breaks down how shifts in distribution, wellness, and digital behavior are reshaping what it means to build for real human needs.

6月27日

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36 分鐘
2 天前

François Chollet: The ARC Prize & How We Get to AGI

François Chollet on June 16, 2025 at AI Startup School in San Francisco. François Chollet is a leading voice in AI. He's the creator of the Keras library, author of Deep Learning with Python, and the founder of the ARC Prize, a global competition aimed at measuring true general intelligence. He's spent years thinking deeply about what intelligence actually is—and why scaling up today’s AI models isn’t enough to reach it. In this talk, he walks through the limits of pretraining and memorized skills, and lays out a path toward true general intelligence—AI that can adapt on the fly, reason in new situations, and invent novel solutions. He explains why abstraction and compositionality matter, how ARC became the benchmark for progress, and what his team at a new research lab called Ndea is building next.

2 天前

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35 分鐘
6月21日

Sam Altman: The Future of OpenAI, ChatGPT's Origins, and Building AI Hardware

A fireside with Sam Altman at AI Startup School in San Francisco.Sam Altman grew up obsessed with technology, broke into the Stanford mainframe as a kid, and dropped out to start his first company before turning 20.In this conversation, he traces the path from early startup struggles to building OpenAI—sharing what he’s learned about ambition, the weight of responsibility, and how to keep building when the whole world is watching. He opens up about the hardest moments of his career, the limits of personal productivity, and why, in the end, it's all still about finding people you like working with and doing something that matters.

6月21日

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43 分鐘
6月18日

Alexandr Wang: Building Scale AI, Transforming Work with Agents & Competing With China

Alexandr Wang started Scale AI to help machine learning teams label data faster.It started as a simple API for human labor, but behind the scenes, he was tackling a much bigger problem: how to turn messy, real-world data into something AI could learn from. Today, that early idea powers a multi-hundred-million-dollar engine behind America's AI infrastructure—fueling everything from Fortune 500 workflows to real-time military planning. Just last week, Meta agreed to invest over $14 billion in Scale AI, valuing the company at $29 billion.Alexandr joined us on the Lightcone to share how Scale AI evolved from a scrappy YC startup into the backbone of some of the world's most advanced AI systems, how he thinks about competition with Chinese AI labs, and what it takes to build infrastructure that shapes the frontier.

6月18日

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1 小時 1 分鐘
6月25日

Satya Nadella: Microsoft's AI Bets, Hyperscaling, Quantum Computing Breakthroughs

A fireside with Satya Nadella on June 17, 2025 at AI Startup School in San Francisco.Satya Nadella started at Microsoft in 1992 as an engineer. Three decades later, he’s now Chairman & CEO, navigating the company through one of the most profound technological shifts yet: the rise of AI.In this conversation, he shares how Microsoft is thinking about this moment— from the infrastructure needed to train frontier models, to the social permission required to use that compute. He draws parallels to the early PC and internet eras, breaks down what makes a great team, and reflects on what he’d build if he were starting his career today.

6月25日

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40 分鐘
6月19日

Andrej Karpathy: Software Is Changing (Again)

Andrej Karpathy's keynote at AI Startup School in San Francisco.Drawing on his work at Stanford, OpenAI, and Tesla, Andrej sees a shift underway. Software is changing, again. We’ve entered the era of “Software 3.0,” where natural language becomes the new programming interface and models do the rest.He explores what this shift means for developers, users, and the design of software itself— that we're not just using new tools, but building a new kind of computer. Slides provided by Andrej: https://drive.google.com/file/d/1a0h1mkwfmV2PlekxDN8isMrDA5evc4wW/view?usp=sharing

6月19日

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40 分鐘
4月25日

How To Get The Most Out Of Vibe Coding | Startup School

AI can't yet one-shot an entire product—but with the rise of vibe coding, it's getting close. YC's Tom Blomfield has spent the last month building side projects with tools like Claude Code, Windsurf, and Aqua, seeing just how far you can push modern LLMs. From writing full-stack apps to debugging with a single paste of an error message, AI is becoming a legit collaborator in the dev process. This is a playbook for anyone who wants to get the most out of vibe coding and build faster.

4月25日

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17 分鐘
6月21日

Elon Musk: Digital Superintelligence, Multiplanetary Life, How to Be Useful

A fireside with Elon Musk at AI Startup School in San Francisco.Before rockets and robots, Elon Musk was drilling holes through his office floor to borrow internet. In this candid talk, he walks through the early days of Zip2, the Falcon 1 launches that nearly ended SpaceX, and the “miracle” of Tesla surviving 2008. He shares the thinking that guided him—building from first principles, doing useful things, and the belief that we’re in the middle of an intelligence big bang.

6月21日

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50 分鐘
5月30日

State-Of-The-Art Prompting For AI Agents

At first, prompting seemed to be a temporary workaround for getting the most out of large language models. But over time, it's become critical to the way we interact with AI. On the Lightcone, Garry, Harj, Diana, and Jared break down what they've learned from working with hundreds of founders building with LLMs: why prompting still matters, where it breaks down, and how teams are making it more reliable in production. They share real examples of prompts that failed, how companies are testing for quality, and what the best teams are doing to make LLM outputs useful and predictable. The prompt from Parahelp (S24) discussed in the episode: https://parahelp.com/blog/prompt-design

5月30日

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31 分鐘

Make something people want.