Python, every mention
33 scenes (2026) · ← back to Python
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Verbatim, from the transcripts: the passages where Python comes up
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.