Go

topic on 19 shows · 20 statements across 18 episodes · said 79 times in 45 episodes since 2014

Latent Space 22 the MAD Podcast 18 Startups For the Rest of Us 8 the Y Combinator Startup Podcast 7 the a16z Podcast 5 No Priors 4 Cheeky Pint 3 Starter Story 3 Lenny's Podcast 2 the Neon Show 2 Acquired 1 Another Podcast 1 Top Founders 1 Big Technology 1 TBPN 1 Founders the Knowledge Project WTF is with Nikhil Kamath How I Built This

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Latent Space 22the MAD Podcast 18Startups For the Rest of Us 8the Y Combinator Startup Podcast 7the a16z Podcast 5No Priors 4Starter Story 3Cheeky Pint 37 more shows

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20 statements about Go, every show

Dean: Code translation is an ideal AI use case due to existing tests
“A use of a coding agent that works extremely well, is you can ask today's models to translate software from one computer language to another very effectively, because in that case, you actually have a incredibly detailed specification. You have the whole softw…”
Jeff Dean Jul 30, 2026 ▶ 32:59 Jeff Dean: The 1% Rule for Building in AI · Y Combinator
Hassabis: Today's AI systems cannot invent a game like Go
“Clearly today's systems, I think can't do that.”
Demis Hassabis Apr 29, 2026 ▶ 19:34 Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough · Y Combinator
FOUNDERS Assertion Supported
DeepMind created an AI system defeating top Go players in 2016
“In 2016, DeepMind solved a grand challenge in computer science, creating a system that surpassed the intuitive brilliance of the world's best players of the ancient board game Go.”
David Senra Apr 1, 2026 ▶ 4:13 The Relentless Missionary Creating AGI: Demis Hassabis
BIG TECHNOLOGY Assertion Supported
Hassabis: Top Go player reached record Elo learning from AlphaGo
“The best South Go player in the world is a South Korean, and he was about 15, I think, when AlphaGo match happened. He's in his mid-twenties now, and he's by far the strongest player there's ever, Been by the ELO ratings, because he's learned natively, young e…”
Demis Hassabis Jan 23, 2026 ▶ 25:00 Google DeepMind CEO Demis Hassabis: AI's Next Breakthroughs, AGI Timeline, Google's AI Glasses Bet
WTF Insight
Reinforcement learning is highly inefficient outside of simulated environments like games
“It's very inefficient because the system has to try many things before it gets the correct answer. And so, It's very inefficient. It requires many, many, many trials. And so it works really well for games. You know, you, it's very efficient. If you want to tra…”
Yann LeCun Nov 27, 2024 ▶ 43:38 WTF is Artificial Intelligence Really? | Yann LeCun x Nikhil Kamath | People by WTF Ep #4 · Nikhil Kamath
STARTER STORY Disclosure
Krasun: ScreenshotOne Runs on TypeScript, Go, Puppeteer, and Cloudflare
“I use TypeScript for managing headless browsers and puppeteer library. I use Go language for rate limiting, managing API keys, and so on. I use Cloudflare for storing screenshots as an API gateway to my product.”
Dmytro Krasun Nov 22, 2024 ▶ 9:46 How I Built It: $12K/Month Micro SaaS
HOW I BUILT THIS Assertion Supported
Nintendo president Hiroshi Yamauchi agreed to pay $300,000 for a Go game
“And he's sitting across from me, and Yamoichi says, I can't give you any programmers. I said, I don't need programmers. I just need money. And he says, how much? And I said, gosh, I mean, I, I'm thinking of what's the biggest number I can think of right now. A…”
Henk Rogers Jul 31, 2023 ▶ 13:03 The Tetris Company: Henk Rogers
Rogers scheduled meetings late to play Go with Nintendo's president
“Whenever I met him after that, I always set up the meeting on a day when I'm the last meeting. His last meeting, and then we would play Go for the rest of the day. I had all this one-on-one time with Yamauchi, which nobody had.”
Henk Rogers Jul 31, 2023 ▶ 16:39 The Tetris Company: Henk Rogers
MAD Disclosure
Wiggins: NYT data science stack relies on SQL, scikit-learn, and Go
“So the data stack is, in my team, the data stack is SQL and scikit, and occasionally Go”
Chris Wiggins May 31, 2023 ▶ 20:55 A Conversation with Chris Wiggins - Author of "How Data Happened"
NO PRIORS Assertion Supported
Supervised learning on human games fails to produce expert players
“Like we also found in chess and go, we actually ran this experiment. If you do. Just pure supervised learning on a giant data set of human chess and go games. The bot that you get out from that is not an expert chess or go player. Even if it's like conditioned…”
Noam Brown Apr 25, 2023 ▶ 20:08 No Priors Ep. 1 | With Noam Brown, Research Scientist at Meta
MAD Disclosure
SurrealDB rewrote its entire codebase from Go to Rust
“We decided to rewrite the whole thing in Rust because that gave us the guarantees A better language. Performance wasn't really the key, but enabling us to do other things with the language that we just couldn't do and go.”
Jaime & Tobie Morgan Hitchcock Mar 28, 2023 ▶ 20:24 Not Just Another Cloud Database | SurrealDB Co-Founders Jaime & Tobie Morgan Hitchcock
BIG TECHNOLOGY Assertion Supported
Marcus: An amateur Go player beat KataGo 14 out of 15 games
“There was another mind-blowing study this week that showed that one of the best Go programs, KataGo, could be fooled by some silly little strategy that would be obvious to a human player. But, you know, somebody was able to follow this strategy and, like, an a…”
Gary Marcus Feb 23, 2023 ▶ 41:59 Blake Lemoine and Gary Marcus Debate AI Chatbots
Evans: Unlike AlphaGo, generative creative AI lacks an inherent feedback loop
“And with AlphaGo, the scoring, because of the scoring inherent to Go, AlphaGo could generate lots of new moves and instantly see which ones are good. So it could iterate its way through that learning process to get to really, really good moves. And so then you…”
Benedict Evans Oct 19, 2022 ▶ 28:40 Wondering about generative AI
Fournier: Side projects cannot substitute for production experience when evaluating technologies
“Knowing a little bit of like Go or like having like spun up Kubernetes on my, you know, on a test, test cluster at home is not nearly enough to have an informed good opinion about A new language or like a new system. Like you have to run those systems in produ…”
Camille Fournier Jul 17, 2019 ▶ 26:28 Camille Fournier on Managing Technical Teams · Y Combinator
a16z Opinion
Leibert: Writing Visual Basic is more joyful than writing Go applications
“And frankly, it's more joyful to write Visual Basic than it is to write Go, right? That you actually achieve Business results. I mean, seriously, right? Like, writing a Spark job, you see the output right away, whereas if you write a large Go application, I me…”
Florian Leibert Jan 2, 2019 ▶ 2:21 a16z Podcast | Containing the Monolith -- From Microservices to DevOps
a16z Insight
Chen: Board game AI environments fail to mirror real-world fog of war
“All the rules are completely well known. The state of play is completely well known, right? In the real world, mostly we live in a fog of war situation where we know some things and we don't know other things. It would cost us something to go figure it out, an…”
Frank Chen Jan 2, 2019 ▶ 3:00 a16z Podcast | Revenge of the Algorithms (Over Data)... Go! No?
a16z What-if
Chen: AlphaGo Zero discovered 1,000 years of human Go strategies in days
“Thousands of generations of games playing each other sort of arrive at places that maybe humans would have gotten to if we played another thousand years, but like, you know, it figured out in three days.”
Frank Chen Jan 2, 2019 ▶ 10:11 a16z Podcast | Revenge of the Algorithms (Over Data)... Go! No?
Y COMBINATOR Assertion Not checkable as stated
French-Owen: Segment runs around 300 microservices primarily written in Go
“Today we're running about 300 different microservices, which are kind of piping together various Kafka topics and reading and writing, transforming this data, getting it to where it needs to go and our backend is primarily written in Go.”
Calvin French-Owen Oct 10, 2018 ▶ 3:37 Startup Technology - Technical Founder Advice · Y Combinator
KNOWLEDGE PROJECT Assertion Supported
Domingos: AlphaGo Trained on 30 Million Human Moves Before Self-Play
“So AlphaGo, the first thing that AlphaGo did was it learned from all the existing, the entire existing database of Go matches played by human masters. That was the first thing it did was learn from those, right? Thirty million moves or something like that is t…”
Pedro Domingos Aug 30, 2016 ▶ 47:47 #13 Pedro Domingos: The Rise of The Machines
MAD Assertion Supported
Go's garbage collection makes InfluxDB unsuitable for sub-millisecond trading
“This isn't, this is written in Go, so, which is a garbage collected language, so worst case response time can be worse than what you would want in that kind of setup.”
Paul Dix Apr 2, 2015 ▶ 20:20 Paul Dix, InfluxDB // Open-Source Time Series Database // Data Driven NYC (FirstMark Capital)

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