Python, every mention
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every year every show Latent Space 324 the MAD Podcast 232 the a16z Podcast 67 the Startup Ideas Podcast 42 the Y Combinator Startup Podcast 41 No Priors 41 TBPN 40 Top Founders 38 
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We Live to Build 2 
Innovators & Investors 1 
David Senra 1
Verbatim, from the transcripts: passages where Python comes up on Latent Space, the MAD Podcast, the a16z Podcast, the Startup Ideas Podcast, the Y Combinator Startup Podcast
The AI Frontier: from open weights to open research — Eiso Kant, Poolside AI
🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
- ▶ 34:53 Andy Beam And so it's just the combination of reasoning often in English, but also in Python and things like that combined with tool use is very powerful
- ▶ 52:17 Andy Beam There, there are high-level abstractions, increasingly high-level abstractions, you know, used to just be Python and Java, now it's like cloud code, that help me answer questions faster.
The Agent Cloud: Databricks’ Bet on the Future of AI — Matei Zaharia and Reynold Xin
- ▶ 21:43 Matei Zaharia Panther is kind of a similar idea on the event processing side and it's Python based versus a weird custom language.
AI Security After Codex and Claude Code — Zico Kolter & Matt Fredrikson, Gray Swan
- ▶ 33:26 Matt Fredrikson No, like a Python script.
- ▶ 43:14 Matt Fredrikson It, it takes you like 10 or 20 times as long to like fight with the type checker, which is essentially like proving that you don't have a vulnerability as if, as it would if you just like went into Python or even Rust, right?
Scaling Past Informal AI - Carina Hong, Axiom Math
- ▶ 30:15 Carina Hong Um, your code is something like Python, your proof is, say, natural language, math proof.
Senior Dev: This "Grill Me" Prompt Is Going Viral Among Top Engineers
- ▶ 15:08 Shawn Wang I was pretty conscious about it being 50% Python, 50% TypeScript. 3 times in the scene
- ▶ 16:56 Matt Pocock That idea of sort of TypeScript coming and eating Python is something that I was betting on for a little bit.
🔬How GPT‑5 derived new results in theoretical physics and quantum gravity — Alex Lupsasca, OpenAI
- ▶ 33:02 Alex Lupsasca And I think what it did, I mean, at some point said, I wrote a Python code
AI-Native Engineering: 100% adoption, 5x search throughput, unlimited tokens — Mikhail Parakhin
- ▶ 21:05 Mikhail Parakhin Jupyter notebooks, or, or maybe you would get, uh, you know, Python, your Python scripts, and you would munch the data, and you produce those TSV files, and you put them in some GFS or something, then you would notice that, oh, it has… 3 times in the scene
⚡️ How to turn Documents into Knowledge: Graphs in Modern AI — Emil Eifrem, CEO Neo4J
- ▶ 24:09 Emil Eifrem Uh, yeah, I thought it was 300 lines of Python.
- ▶ 40:16 Emil Eifrem Uh, a really neat Python wrapper called UVX, like whatever, create context graph, right?
Extreme Harness Engineering: 1M LOC, 1B toks/day, 0% human code or review — Ryan Lopopolo, OpenAI
- ▶ 11:28 Ryan Lopopolo Tiny little bit of Python glue to spin all these up, and off you go.
Marc Andreessen introspects on Death of the Browser, Pi + OpenClaw, and Why "This Time Is Different"
- ▶ 46:41 Alessio Fanelli I'll be like, oh, okay, Python is kind of slow. 2 times in the scene
Dreamer: the Agent OS for Everyone — David Singleton
- ▶ 42:57 Shawn Wang Did you see that TypeScript overtook Python? 3 times in the scene
Anthropic’s Felix Rieseberg on AI Coworkers, Local-First Agents, and the Future of Knowledge Work
- ▶ 13:43 Felix Rieseberg You can install Python.
- ▶ 1:05:13 Felix Rieseberg And that machine will probably not have Python. 4 times in the scene
- ▶ 1:11:06 Felix Rieseberg Once it starts becoming a part of your workflow, you're probably not either, either you don't have the skill to understand whether or not this Python script is safe, or you're not going to read it anyway.
⚡️Monty: the ultrafast Python interpreter by Agents for Agents — Samuel Colvin, Pydantic
- ▶ 0:46 Samuel Colvin And now here I am building this, like, if you want a big pejorative slop fork of Python, mostly with AI, I think it's incredibly powerful.
- ▶ 5:03 Samuel Colvin And then the other massive win is latency, because if you can have a Python interpreter that runs inside the same process, you're looking at a boot time.
- ▶ 5:48 Shawn Wang and I like to, you know, obviously it's a Python interpreter, so it can run Python, right? 4 times in the scene
- ▶ 11:15 Samuel Colvin I mean, I think the other thing to say is like, I, I wanted to implement the like, 20 or so built-in functions available in Python. 4 times in the scene
- ▶ 25:04 Samuel Colvin So you, you see here, like we have the system prompt where we've basically told it what Python, what, what, what code it can use. 4 times in the scene
- ▶ 30:50 Samuel Colvin And I think if we get to that point, we resort to Python or we resort to Monty for some of that stuff.
- ▶ 33:13 Shawn Wang I do see that there's a gap in Python for that.
Agent Inference at the "Speed of Light" — How NVIDIA moves like a $4.3 Trillion Startup
- ▶ 1:11:17 Nader Khalil Would the model like use Python to do so? 2 times in the scene
Measuring Exponential Trends Rising (in AI) — Joel Becker, METR
- ▶ 5:43 Alessio Fanelli You have some labels kind of like Trin classifier, fixed bugs, and small Python library.
Claude Code for Finance + The Global Memory Shortage: Doug O'Laughlin, SemiAnalysis
- ▶ 31:18 Doug O'Laughlin Cloud for Excel is much worse than cloud code using Python to use the Excel skills to then deposit into.
The AI Frontier: from Gemini 3 Deep Think distilling to Flash — Jeff Dean
🔬 From Red Teaming GPT-4 to Automating Drug Discovery: The Future of AI in Science — Andrew White
- ▶ 26:24 Andrew White It has like data analysis that goes, shows you like which line Python code led to the result here.
- ▶ 36:11 Andrew White Basically it's like you could express it in a concise Python file of like, you know, try a whole bunch of ideas, then go see if they all filter through literature or if they've been disproven, and then go like, ah, come up with experiments…
Artificial Analysis: The Independent LLM Analysis House — with George Cameron and Micah Hill-Smith
- ▶ 20:51 Micah Hill-Smith Well, V one would be completely saturated right now by almost every model coming out because doing things like writing the Python functions and human evil is now pretty trivial.
One Year of MCP — with David Soria Parria and AAIF leads from OpenAI, Goose, Linux Foundation
- ▶ 14:34 David Soria Parra You want to, to have, like, a shared state that you can, like, have, and that's kind of ok, and like, we have seen this in PHP application and Python application being done, but it, it's,
- ▶ 1:00:14 David Soria Parra And so just like being an active part, like either giving us feedback, being in the discord channel, talking with us, giving us ideas, while also just helping us implementing like the types of SDKs, the Python SDKs.
⚡️ 10x AI Engineers with $1m Salaries — Alex Lieberman & Arman Hezarkhani, Tenex
- ▶ 17:59 Shawn Wang Like we think the models are good, but like actually they have been really trained into a certain sort of local minima of like, well, here's all the Python because Sweebench is all Python, all Django.
⚡ Inside GitHub’s AI Revolution: Jared Palmer Reveals Agent HQ & The Future of Coding Agents
- ▶ 27:29 Jared Palmer And like, it's, it ends up doing Python and, and, and
⚡️ The State of AI Engineer Hiring: Cheating, AI Adoption,Junior Devs — Vivek Ravisankar, HackerRank
- ▶ 47:06 unnamed speaker Like I want to change our national second language from Chinese to Python. 2 times in the scene
⚡️Automating Scientific Discovery - Jessica Rumbelow, Leap Labs
- ▶ 12:54 Jessica Rumbelow Maybe like you can get them to use tools and stuff, but still, even if they're, you know, messing around in Python and doing matplotlib and pandas and like, and whatnot, they're still basically
Breaking AI to Fix It: Ian Webster's Journey from Discord's Clyde to Promptfoo's $18M Series A
- ▶ 10:59 Ian Webster But, um, but it can also hook directly into like your Python, your JavaScript, whatever, and we have support for 50 different inference providers.
⚡ Open Model Pretraining Masterclass — Elie Bakouch, HuggingFace SmolLM 3, FineWeb, FinePDF
- ▶ 1:02:12 Shawn Wang Basically, like they're, they're basically offering like a superset of Python that should be good for you, you specifically, you are the target audience for this. 2 times in the scene
Why RL Won — Kyle Corbitt, OpenPipe (acq. CoreWeave)
- ▶ 19:28 Kyle Corbitt If you were to show that exact same equation, just, like, code, not, maybe not PyTorch code, because that you also have to, like, understand, but if you just, like, did the naive implementation in, like, Python, and, like, showed someone,… 3 times in the scene
Building Jamba 3B: the tiny Hybrid Transformer State Space Reasoning Model - Barak Lenz, CTO of AI21
- ▶ 30:33 Barak Lenz Even without the enterprise, you definitely need Python and then web search to, to compensate.
DevDay 2025: Apps SDK, Agent Kit, MCP, Codex and why Prompting is More Important than Ever
- ▶ 25:28 Shawn Wang I thought this was this Python, this is JavaScript, and then there was a whole link in there.
The antidote to AI fatigue — Answer.ai Solveit
- ▶ 9:02 Jeremy Howard Literally any Python function that you put right there in that system is immediately a tool, and it's extraordinary what happens when you write a three-line function that can call grep or rg or whatever, and then you say like, hey, LLM,…
- ▶ 22:37 Alessio Fanelli You know, you might just keep using Solvit and then, you know, you do this for learning Python and then you kind of play out.
- ▶ 40:07 Eric Ries I skipped over this, but in that dialogue, you'll see that it said something like import reader comments as a, as a Python module. 7 times in the scene
Taste is your Moat (Dylan Field of Figma)
- ▶ 3:55 Dylan Field And, uh, it's, I think, very exciting to think about how far you can help people go and how you can make them both more productive, but also help them explore more of the option space of design with some of these techniques.
Amp: The Emperor Has No Clothes
- ▶ 1:08:21 Alessio Fanelli It's like, you know, when, um, Chris Ladner even started working on Mojo, it's like, okay, because of AI, I understand why you need to build a superset of Python.
⚡️ Beyond Transformers with Power Retention
- ▶ 9:30 Diego Bachman That's one of these more higher level Pythonic frameworks.
- ▶ 15:51 Diego Bachman And this is the baseline level of loss that it achieves on like a very standard, they call it the stack data set and specialized to Python.
A Technical History of Generative Media
- ▶ 0:43 Gorkem Yurtseven and then we decided to build a Python runtime in the cloud and that evolved into an inference system that evolved into what Fall is today, which is a generative media platform. 4 times in the scene
- ▶ 5:13 Batuhan Taskaya It's terrible for utilization, and they are not optimizing it, so let's just offer an optimized version of this that's ready for API to be scaled, and doesn't require people to deploy Python code, because we want product engineers to start…
- ▶ 7:54 Gorkem Yurtseven And like, essentially we had this Python runtime. 3 times in the scene
- ▶ 13:42 Batuhan Taskaya I used to work at PyPy, like a just-in-time compiler for Python.
⚡️Launching Ona: Coding Agent with Fully Sandboxed Cloud Environment
- ▶ 11:18 Chris (Christian Weichel) And, you know, for, for weekend warrior where the setting it up on setting up the dev environment might not feel like much, but, you know, if you're working a bit of Python here and a bit of go over here and a bit of typescript over there,…
Greg Brockman on OpenAI's Road to AGI
- ▶ 21:34 Greg Brockman By the way, it does have access to Python tool as well.
⚡️Using RFT to Build Clinical Superintelligence
- ▶ 6:51 Brendan Fortuna Often you could do a unit test, run some Python code, or even use an LLM grader, or even combine a bunch of graders together into a massive grader, you know, kitchen sink.
🕰️ The Oral History of Windsurf (ft. Varun Mohan, Scott Wu, Jeff Wang, Kevin Hou, Anshul R)
- ▶ 1:33:24 Anshul Ramachandran Here is Cascade installing a requirements.txt file and independently realizing that it needed to use Python three instead of Python given my environment.
- ▶ 2:14:30 Shawn Wang I gave, I gave Preb and Kevin a lot of shit for my Python issues.
- ▶ 2:46:38 Kevin Hou And you can see that we're going to be building a Python web scraper. 2 times in the scene
⚡️The Future of Notebooks - with Akshay Agrawal of Marimo
- ▶ 0:48 Akshay Agrawal So Marimo is an open source notebook for Python that's built entirely from scratch. 2 times in the scene
- ▶ 4:38 Akshay Agrawal You have cells of Python code, you have some markdown, and then you have some visual outputs. 2 times in the scene
- ▶ 21:01 unnamed speaker Yeah, I was just kind of curious if there's any part of the Python ecosystem that, you know, is not compatible with this.
- ▶ 24:22 Akshay Agrawal So if I go, uh, let's, I can open a notebook file, and we can take a look at what it actually looks like. 3 times in the scene
Personalized AI Language Education — with Andrew Hsu, Speak
- ▶ 52:41 Andrew Hsu If you've tried coding tools six months ago, and they weren't that great, especially if it's not TypeScript or Python, right?
Information Theory for Language Models: Jack Morris
- ▶ 12:49 Shawn Wang And now he's turned his attention to the Python CUDA relationship, right? 2 times in the scene
⚡️Warp 2.0: the Agentic Development Environment - Zach Lloyd and Ben Holmes
- ▶ 2:55 Shawn Wang And I didn't have some packages and it just, it just started suggesting things to me to fix my Python environment.
- ▶ 21:22 Zach Lloyd So if you're doing like work in Node or Python, Postgres, MySQL, it works in any REPL and it's a, uh, it's a pretty differentiated and cool feature of Warp.
The Shape of Compute (Chris Lattner of Modular)
- ▶ 7:59 Chris Lattner So programming language, syntax, member of the Python family, make it much more accessible and easy to write kernels and performance and all that kind of stuff.
- ▶ 12:01 Chris Lattner It doesn't have Python in the loop and for eager mode op dispatch and stuff like this, because you don't have all that dependency. 14 times in the scene
- ▶ 48:25 Chris Lattner I didn't say it's a replacement for Python. 2 times in the scene
- ▶ 1:09:52 Chris Lattner And also it looks like Python, so you could read it, but it just like massively scales the on-ramp.
Quadratic: The AI Spreadsheet
- ▶ 1:12 David Kirkos So it speaks Python. 2 times in the scene
- ▶ 25:49 unnamed speaker Do you think that will be mostly Python once the model does most of the analysis or what's the kind of like the future of formulas, I guess? 6 times in the scene
The Utility of Interpretability — Emmanuel Amiesen
- ▶ 1:07:43 Emmanuel Ameisen And you, here we do it for like language languages, but I think you could argue that you'd expect the same thing for like programming languages, where it's like, oh, if you learn what an if statement is in Python, maybe it'd be nice if you…
The AI Coding Factory
⚡️Multi-Turn RL for Multi-Hour Agents — with Will Brown, Prime Intellect
- ▶ 33:57 Will Brown Don't, don't have a 2000 line Python script that does that.
DeepWiki: The GitHub Encyclopedia
- ▶ 20:23 unnamed speaker Like I think this part, like when some, if somebody wants to contribute, it's like pretty easy to go through the Python, but then figuring out how everything gets kind of scheduled because it takes so long to do the transcript and all of…
- ▶ 29:43 Silas Alberti And CUDA channels are just so cool because you can just, like, compare the Python implementation with the CUDA implementation. 2 times in the scene
ChatGPT Codex: The Missing Manual
- ▶ 14:04 unnamed speaker Like, Python is one.
Claude Code: Anthropic's CLI Agent
- ▶ 10:42 Boris Cherny It's kind of this research tool that's, uh, you know, it's like written using Python.
- ▶ 37:49 Boris Cherny For other teams, type coverage is very important, especially if you're working in, you know, a very strictly type language and, you know, for example, avoiding like NEs and JavaScript and Python.
Zed Agents — with Zed Cofounders Nathan Sobo & Antonio Scandurra
- ▶ 30:51 Nathan Sobo Well, AI is going to become an ever grow, you know, growing Python part.
Voice AI Masterclass — Kwindla Hultman Kramer and swyx
- ▶ 14:43 Kwindla Hultman Kramer So what we try to do in the pipe cat world is we do a bunch of things in parallel and separate Python tasks and have abstractions for kind of putting those things together or having those things interact in useful ways.
- ▶ 18:35 Kwindla Hultman Kramer It runs Python.
What is an RL environment? w/ Nous Research's Roger Jin
⚡️Factorio Learning Environment: the ultimate Game Agent Eval — Jack Hopkins
- ▶ 5:52 Jack Hopkins And we ultimately settled on a code synthesis approach where these models would write Python code and those Python code in that Python code would invoke certain high level actions, such as move to this distant point or place an entity next… 5 times in the scene
- ▶ 23:23 Jack Hopkins Um, as mentioned, because they execute Python programs, they can kind of come up with quite complicated policies, which a human player would have to kind of develop on the fly.
Why Every Agent needs Open Source Cloud Sandboxes
- ▶ 9:44 Vasek Mlejnsky And, um, what was, I think, especially early on, like Python was the language that the models were probably the best or one of the first languages where the models were working very well. 2 times in the scene
- ▶ 24:08 Alessio Fanelli And then people use depending on the, because the difference that maybe people don't think about is like, you can generate the code with the Python SDK, but you can still run Lua code or like R code. 3 times in the scene
- ▶ 40:50 Vasek Mlejnsky I also like it's like TypeScript first, uh, which I thought like it's the right decision because as, as we talked about, like being more bullish on the product developers, instead of like a Python machine learning type of a developer, I've…
Tiny Teams: $6m ARR, 5m users with 4 employees — Sid Bendre, Oleve (Quizard AI/Unstuck AI)
- ▶ 21:14 unnamed speaker So I see some details of the stack, which is Python, FastAPI, Flask, Mongo, and Postgres.
GPT 4.1: The New OpenAI Workhorse
- ▶ 12:21 unnamed speaker I think I was actually very surprised how all models seem to have more difficulty than I would have expected on a task that, you know, we would find very simple or like, you know, maybe an, uh, an undergrad could write a Python script to,…
Claude Plays Pokémon Hackathon: Escape from Mt. Moon!
- ▶ 22:52 David Hershey So it's actually still just, like, represented as a Python dictionary, but it can choose to, like, load or unload a file from its memory.
- ▶ 29:50 unnamed speaker And Python's really not that bad anymore with UV.
- ▶ 1:04:16 Jesse Han Um, so specifically, what you'll need to submit is that you'll need to submit a GitHub gist that implements a subclass of the Eva agent, um, and, uh, you can use this, uh, Python file as a template, uh, and however you modify it, it needs… 2 times in the scene
The Creators of Model Context Protocol
- ▶ 10:48 unnamed speaker Um, that was TypeScript, Python, and then for the Zed integration, it was Rust.
The Agent Network — Dharmesh Shah, Agent.ai + CTO of HubSpot
- ▶ 26:14 Dharmesh Shah So I have a 14 year old right now and is taking Python programming class.
- ▶ 49:12 Dharmesh Shah The fact that it has access to a Python interpreter that I can actually call at runtime, that solves an entire body of problems that it wasn't trained to do. 4 times in the scene
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