[music] Great to be here everyone. I'm Jacob Khan. I'm a researcher at at Farret Medai.I'm going to talk today about the code world model which I'll abbreviate as CWM and what it means to build world models for computation. This is work done by an incredible team at fair uh extends all over the world and I'm very grateful to be collaborating with them. So what's our goal with CWM.Our primary goal is to build models that reason, plan and make decisions. And we start with code because it's an interesting sand ...

[music] Hey everyone, how's it going. So, my name is Natalie. I'm a co-founder of Gimlet Labs and um yeah, just a little bit of background about why Gimlet's looking at AI generated kernels.Let's just get right to it. Um we're building an agentic inference cloud focused on performance and efficiency. And the thing that we've seen with all these talks so far is with agents, they're not just one chat model.They're complex pipelines of multiple models, multiple stages, tool calls, and the compute backing these ...

Zapier maintains 8000+ integrations that break as APIs change. We had thousands of backlog support tickets with dozens more arriving weekly. To keep up with the traffic, we started building AI tools to help ship integration fixes faster. We began by shadowing engineers fixing tickets and building tools we believed would expedite the fix process. Our first effort, an API playground hosting AI tools like diagnosis and test generation, failed to get engineering traffic because it pulled builders out of their w ...

When it comes to using AI for software engineering, much of the spotlight falls on how large language models (LLMs) can write code—sometimes entirely from scratch. Countless studies highlight productivity gains from turning requirements directly into runnable code. But the reality of applying AI at scale inside a mature engineering organization is far more complex and nuanced. Over the past year, we’ve been on that journey at Bloomberg—integrating AI into the workflows of 9,000+ software engineers—and we’ve ...

[music] Hi everyone. So I'll be talking about uh like some work on evaluations particularly evaluations across like I guess I've done in the last four years. So let's get started.So uh I'll be talking about coding evaluations across varying time horizons. So I've been uh working on like in the code space for about four years now like it was right before like early copilot came out and my first project was actually working on generating like single line panda snippets and my last project was generating an en ...

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Introducing Minimax's latest AI model and its applications in code generation. Speaker: Olive Song | Senior Researcher, MiniMax https://x.com/olive_jy_song ...

[music] I'm so excited to be here. I love New York and I love meeting everybody here. And I am Kath Corbec.I'm from Google Labs and I work on this little team called ADA and I'm going to be talking about some of the stuff that we've been doing on this project called Jewels. So, a few months ago in my household, our dishwasher broke. And while it was being repaired, my husband decided that he was going to do all the dishes. And so, he told me he was going to do this.But every single night, I found myself rem ...

[music] So companies spend millions on AI tools for software engineering. But do we actually know how well these tools work in the enterprise or are these tools just all hype. To answer this and for the past two years, we've been researching the impact of AI on software engineering productivity.And our research is time series because we look at get historical data, meaning we can go back in time. And it's also cross-sectional because we cut across companies. And the way we use to measure most of the of the ...

[music] Today we're talking about RL environments and how to scale them. But the title is a little bit of a red herring. We'll talk a bit about the engineering pieces and like running these with thousands of parallel rollouts and sandboxes on hundreds of GPUs, but I'm mostly going to focus on a different notion of scale. Uh, and what I mean by scaling here is we there's a number of different ways we talk about scaling in the context of AI and research. We know about scaling laws and we talk about how much d ...