[music] Hey everyone, it's great to meet you all. Really great to be here today. My name is Rhythm. This is my co-founder Lyndon.Our third co-founder, Yash, couldn't make it today, but we're all very excited to be here. Um, three of us were previously researchers at OpenAI, and now we're bringing Frontier AI inside of enterprise at applied compute. Today, we're going to be talking about efficient reinforcement learning.As some context on applied compute, we help enterprises build their own intelligence to p ...

AI Development & Application at Los Alamos National Laboratory - Los Alamos National Laboratory has been applying AI and ML for almost 70 years, evolving from early applications like Los Alamos chess to modern generative AI agents [2][3] - The laboratory is leveraging generative AI and agentic approaches to accelerate scientific discovery, particularly in areas like inertial confinement fusion (ICF) capsule design [4][5] - The laboratory emphasizes the importance of writing its own models and pushing the science of AI, while also recognizing the need for partnerships with commercial industry and academia [9][10] - Los Alamos National Laboratory is using AI to enhance its mission, including national security, by improving speed and efficiency in various tasks [8] Partnerships & Collaboration - Los Alamos National Laboratory actively seeks partnerships with commercial industry and academia to advance AI development and application [9][10] - The laboratory has established partnerships with the UC family of schools and frontier labs like OpenAI for collaborative research and development [12] - The laboratory emphasizes the importance of trust and shared responsibility in partnerships, particularly regarding the security and governance of AI tools and services [14][15] Governance & Security Considerations - The US government, including Los Alamos National Laboratory, is developing strategies and plans for AI implementation and governance, guided by OMB memorandums like M-25-21 and M-25-22 [15][26] - The laboratory highlights the critical need for robust cybersecurity measures, including compliance with standards like NIST 800-53 and FedRAMP, to protect sensitive data [21][22] - The laboratory emphasizes the importance of building AI systems with explanability, isolation, and governance in mind, particularly for applications with real-world impacts [31][32][35] - The laboratory requires software bills of materials and detailed information on open-source dependencies and patching plans from its service providers [36] Key Requirements for AI Service Providers - AI service providers should prioritize building for explanability to ensure transparency and accountability in decision-making [31] - AI service providers should build for isolation, considering deployment in environments with limited services, such as DoD Impact Level 5 [33][34] - AI service providers should build for governance, providing software bills of materials and detailed information on open-source dependencies and patching plans [35][36] - AI service providers should maintain speed in updating their federal offerings to align with commercial releases, addressing export compliance laws [37][38]

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Web development has always moved in cycles of hype, from frameworks to tooling. With the rise of large language models, we're entering a new era of "vibe coding," where developers shape software through collaboration with Al rather than syntax. This talk explores what that means for the future of coding, especially in frontend development, and how it echoes the past while redefining what comes next. Speaker: Kitze | Founder, Sizzy https://x.com/thekitze ...

Most of what’s written about AI agents sounds great in theory — until you try to make them work in production. The seductive ideas (multi-agent orchestration, RAG, prompt stacking) often collapse under real-world constraints. Why? Because they optimize for the wrong thing. In this talk, Nik Pash shares hard-won lessons from building large-scale coding agents at Cline — what failed, what survived, and why the next leap forward won’t come from clever scaffolds, but from evals and environments that truly measu ...

Most enterprises are not capturing much value from AI in software dev to date (at least relative to the potential). The reason is that most are adding AI tools to their dev teams without changing the people and operating model aspects (i.e., limited changes to ways of working, team configurations, role definitions, stage gates, etc.). Many core aspects of software development haven’t changed in the past 10+ years, and that’s holding us back from moving to the new paradigm of software development! We will sh ...

Coding agents are becoming one of the most active areas in applied AI, yet many teams keep rebuilding fragile infrastructure every time models or providers change. We believe there is a better way. By anchoring on a stable abstraction layer like Codex, we can stop worrying about harness rewrites and focus on the parts of the stack that create lasting value. We treat models as interchangeable sub-agents, plug into shared primitives, and let upstream improvements flow through without breaking products. This l ...

As AI has grown more capable, software developers around the world have lagged behind the technology advances, and have consistently eschewed the most powerful tools. In this talk I explore why devs are staying 9-12 months behind the AI curve. I'll share a preview of what 2026's AI coding tools will be like, and paint a vision of where we go from here. Speakers: * Steve Yegge | Engineering Leader, Sourcegraph/Amp https://x.com/Steve_Yegge https://www.linkedin.com/in/steveyegge/ * Gene Kim | Author & Researc ...

By popular demand, we are releasing our music from the livestream + venue stage -- the instrumental tracks. Comment below if you want to see the vocal tracks released! ...

Please join me in envisioning a world where software has zero bugs. Not just a few bugs, but actually literally zero bugs. Okay. Okay.Just bear with me now. So for most people, let's just say people who aren't software engineers, bugs are actually just not a very big part of their life. Period.Most of the apps that we use on our phones, our social media, our news, that stuff pretty much works most of the time. The camera works most of the time. Any of those most popular apps, banking, they work really well ...