Co-Founder & Director, Alphabet
Search every verified Sergey Brin interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. In May and June 2025, Sergey Brin made several public appearances discussing the future of AI and Google's work. At Google IO in May 2025, Brin said he did not think "we really know what the world looks like in 10 years" due to the rate of progress in AI. He also commented on the simulation hypothesis, stating that if humans are in a simulation, the argument would apply recursively, leading to an "infinite stack of simulations" or a need for a "stopping criteria." He said he does not believe humans are "really equipped to reason about sort of one level up in the hierarchy." At an AGI House event in June 2025, Brin discussed the convergence of specialized models into general ones, noting that "increasingly our main Gemini LLMs can be the state-of-the-art for math" and other scientific questions. He defined AGI as "the idea of the AI can actually improve itself," while acknowledging that others define it as an AI that can "do anything a person can do." Brin said he felt "very good about where Gemini is" but acknowledged that Google was "a little bit late on really focusing deeply" on coding, giving kudos to competitors like GPT-5.5 for overnight coding tasks while pitching Gemini 3.5 Flash for speed. On the Moonshot Podcast, Brin reflected on X's work, saying the company was "premature at productizing" some projects like Google Glass, but that it served as a "phenomenal learning platform." He also expressed interest in Von Neumann machines, describing the concept of building something that can "build itself" and "exponentially build something."
“I think the exciting thing is that all of these things are converging to the same general models. You know, in the past we would have to have specialized models. Uh and um well, in the case of protein folding, we obviously still do. Um but increasingly our main Gemini LLMs can be the state-of-the-art for math, for exam...”
“I think of AGI as kind of the idea of the AI can actually improve itself. But other people and I think probably those people are more correct sort of think AGI means well the AI needs to be able to do anything a person can do. Uh and those are two different things. So to do anything a person can do uh you absolutely ne...”
“I actually feel very good about where Gemini is. I know that everybody now is focused on coding and I think we were a little bit late on really focusing deeply on that. Um um I I think you know the Gemini sort of uh 3.0 and 3.1 launches you know sixish months ago they were on top of kind of across the board. Uh but I k...”
“I'll just pitch you guys on Gemini 3.5 flash is way faster. I mean at some point that does also matter. Um, but I I want to give kudos to our competition in terms of, you know, if you want to leave an overnight task. Um, it seems like 5.5 is able to do incredibly well. Uh, but for interactive quick uh, rapid iteration,...”
“I guess we had really benefited at the time from a lot of success on the internet. Search Gmail Chrome and hope to take that sort of aspirational technological idea into new fields and new areas that were ambitious. It spurred this question could we now our push technology further in a broader set of domains.”
“I think we were premature at productizing what we did x is trying to be the right amount too early. And that means sometimes we're going to be too early. I think that's just the reality of it. But even if glass was to early, glass was a phenomenal learning platform. And when it was put to people as a learning platform,...”
“I think we're going to have to adjust to adjusting. And by that I mean, a lot of times people say, OK, oh, look, there's this new model and it can do x, y and z. And therefore OK, I'm going to do customer support on that. And that's all going to change. But of course, like the issue with thinking about it in those term...”
“I got one kind of fun thing that you and I have talked about before. That's surprisingly little work. I think, near as I can tell is happening, is on Von Neumann machines. The idea that you can build some little thing that can then build itself, maybe you send one to the moon or to some other planet or whatever, and th...”
“I don't think that traditional media will be completely displaced by the internet. The internet is a different type of pipe. There are newspapers on the internet, there are TV stations on the internet. I think it's just another outlet. Some things will be printed on paper, some things will be electronic, and more and m...”
“I don't think we need to let people in by passport. When the web started, the first versions developed in Switzerland were exactly like what you describe as Web 2.0. All users could read and write. It was just not that popular for a while, and now it's popular again. I think it's very important to have a lot of informa...”
“I think that mobile phones and the internet on them is a very important thing. Right now, the internet on phones doesn't work as well as sitting at a computer on a fast connection. But in the future, I hope it will get closer and closer. Phones are becoming faster and faster, they have better and better screens. And al...”
“First of all, that was a coincidence. We didn't do it specifically to make it come out that way. Sometimes there are interesting results because, for example, many people wrote about Microsoft, 'my Microsoft', so I want to explain that. Yes, I use many different products, including Microsoft, but I also use a lot of Ap...”
“Well, I'll just mention that in the graph where he has sort of the utopia or extinction, technically speaking, the GDP per capita will go up in either case.”
“The exciting thing is that these things are available to pretty much everybody; it's the great equalizer. We all walk around as kings in the world, you know, kings in our pocket.”
“I guess I would say in some ways we for sure messed up and that we underinvested and sort of didn't take it as seriously as we should have say eight years ago when we published the transformer paper. We actually didn't take it all that seriously and didn't necessarily invest in scaling the compute and also we were too...”
This is the lightening round from my interview with Google Founder Sergey Brin and DeepMind Founder Demis Hassabis where we cover the future of the web, the timeline for AGI, whether it's okay to use AI in job interviews, and whether we're living in a simulation. Shot at Google IO in May 2025. Watch the full interview here: • DeepMind CEO Demis Hassabis + Google Co-Fo...
Google co-founder Sergey Brin opened the Google DeepMind Build Day at AGI House with an unscripted fireside chat with Rocky Yu. A direct conversation on convergence, superintelligence, world models, and where frontier AI is actually headed. The full conversation is above. Subscribe to follow the rest of our Build Day footage, interviews, and builder demos. Timestamps 0:00 Intro & the comeback 2:52 Convergence: specialized models becoming general 3:44 Transfer: how coding training improves math reasoning 6:04 Defining superintelligence & P vs NP 8:21 Frontier AI in legacy industries (auto, ae…
The Moonshot Podcast wraps up Season 2 with an unforgettable final episode featuring TESTED host @Adam Savage and Google cofounder Sergey Brin. In a table-turning conversation, Adam puts host and X’s Captain of Moonshots, Astro Teller, in the hot seat to unpack what innovation is and how we can all bring more of it into our lives. Then, Astro sits down with Sergey to reflect on some of their favorite moonshots to date and share where he thinks technology is going next. – Hosted by Astro Teller, Captain of Moonshots, The Moonshot Podcast goes behind the scenes with creators and inventors tryi…
Breakthrough Prize co-founder Sergey Brin and influencer and health coach GG Soto presented the Breakthrough Prize in Mathematics to Frank Merle for his transformative work on nonlinear evolution equations – the mathematical descriptions of how waves, fluids, and other dynamic systems change over time. Merle’s insights have overturned fundamental assumptions in the field, including the surprising discovery that equations long thought to be stable can in fact blow up in finite time. Brin described how his ideas “seek hidden structure – and hidden beauty – within chaos.” Accepting the prize, Mer…
🌃 In this interview, the founder of Google shares his unique vision for the future of technology and the development of the ...
Aspen Institute January 14, 2026. Thank you to the Aspen Center for Physics for use of this 7-minute preview. To view the entire 41-minute debate click: https://www.youtube.com/live/Rs5_Q7nU... Thank you to Sergey Brin, Adam Brown and Ethan Dyer! (Sorry for the audio/video sync issues.) Sabrina Pasterski Physics Girl
在这场斯坦福访谈中， 谷歌联合创始人 Sergey Brin 罕见回顾了自己“退休—回归”的全过程。 他坦言： “退休，是我犯过的一个错误。” 本期视频你将听到： 为什么布林认为：真正重要的事业，无法“阶段性放下” Gemini 的技术路线，并不是一开始就规划好的 谷歌如何重新找回工程师文化与执行力 他如何看待 AI 竞争、算力、人才与长期投入 对年轻工程师、创业者最重要的一条建议 这不仅是一场 AI 访谈， 更是一堂关于伟大公司 长期主义、专注力与顶级决策者心智模式 的公开课。 如果你关心： AI × 伟大公司 × 长期价值 这期内容，值得完整看完。 希望你也喜欢这个视频，从中获得启发。如果觉得有价值，欢迎订阅频道，分享给朋友，一起｢学用复利投资｣。 00:00｜为什么我会“退休” 01:32｜退休后的真实感受 03:05｜我意识到：这是个错误决定 05:10｜重返 Google 的真正原因 07:18｜AI 出现前，Google 已在布局 09:46｜Gemini 的起点：内部共识 12:40｜为什么是 Gemini，而不是另一个模型 15:55｜从 Transformer 到 Gemini 18:30｜算力、数据与工程现实 21:20｜AI 最大的瓶颈是什么 24:10｜量子计算：被严重低估的方向 27:05｜AI × 量子，真正的长期想象力 30:40｜Googl…
Interview with Sergey Brin, co-founder of Google, conducted at Stanford during the School of Engineering's centennial celebration, December 13, 2025. In conversation with Jennifer Widom and other academic leaders, Brin reflects on his time as a doctoral student at Stanford, the origins of Google, key decisions in its early years, and how to build a long-term culture of innovation. He speaks candidly about mistakes, failures, the role of academic research, the relationship between universities and industry, and the technological evolution that has shaped Google since its inception. The discus…
Brin offers a candid assessment of the hyper-competitive AI landscape, admitting that Google "messed up" by underinvesting and being overly cautious after publishing the foundational Transformer paper in 2017. He discusses how this caution allowed competitors like OpenAI to surge ahead, while highlighting Google's long-term advantages in research, custom hardware (TPUs), and massive data center infrastructure. #GoogleAI #TransformerPaper #OpenAI #AIEvolution #TPU #CompetitiveAdvantage #ComputeWar #DeepLearning #Research
Sergey Brin (MS '95), co-founder of Google and Alphabet Inc., began his graduate studies in computer science at the Stanford ...
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