Code BEAM America 2025

✨ This talk was recorded at Code BEAM America in March 2025. If you're curious about our upcoming event, check https://codebebeameurope.com ✨ Great teams with great tech can do great things and that’s unsurprising. Bad tech can be saved by good teams. But can bad teams be saved by great tech? What are the elements that lead to good team performance? Smaller communities often frame their stack as some sort of secret sauce that lets them defy expectations. In this talk, we propose that great technological powers only get the opportunity to be leveraged when the proper support systems are in place. If you can’t build, buy, and combine these to let your teams be their best selves, it won’t matter just how great the tech is. OBJECTIVES: - bring a focus on key elements of team performance - introduce a coherent view of observability within organizations - give people the type of perspective that can make adoption projects successful Let's keep in touch! Follow us on: 💥 Twitter: https://twitter.com/CodeBEAMio 💥 Facebook: https://www.facebook.com/CodeSyncGlobal 💥 LinkedIn: https://www.linkedin.com/company/code-sync 💥 Mastodon: https://genserver.social/codesync

✨ This talk was recorded at Code BEAM America in March 2025. If you're curious about our upcoming event, check https://codebebeameurope.com ✨ In today’s gig economy, workers on platforms like Upwork and Amazon Mechanical Turk face significant challenges. Collective action could improve conditions, but existing systems are inadequate. In my keynote, I will introduce the AI for Worker Collective Action framework, grounded in social theories. This approach leverages Large Language Models (LLMs) and worker-owned data to create worker-centric technologies that empower workers and enhance their conditions. I’ll present case studies demonstrating the framework’s potential to transform the future of work and conclude with a discussion on a research agenda focused on AI’s societal impacts and worker wellbeing. OBJECTIVES: Inspire people on how they can design AI systems to empower workers and underserved populations. Let's keep in touch! Follow us on: 💥 Twitter: https://twitter.com/CodeBEAMio 💥 Facebook: https://www.facebook.com/CodeSyncGlobal 💥 LinkedIn: https://www.linkedin.com/company/code-sync 💥 Mastodon: https://genserver.social/codesync

✨ This talk was recorded at Code BEAM America in March 2025. If you're curious about our upcoming event, check https://codebebeameurope.com ✨ Ingela gave updates on what the OTP Core Team has done in the last few months, what projects they’re working on, what’s going on on the research side, and what features will be in the next release. Let's keep in touch! Follow us on: 💥 Twitter: / codebeamio 💥 Facebook: / codesyncglobal 💥 LinkedIn: / code-sync 💥 Mastodon: https://genserver.social/codesync

✨ This talk was recorded at Code BEAM America in March 2025. If you're curious about our upcoming event, check https://codebebeameurope.com ✨ Running machine learning models in production introduces all kinds of interesting questions: How do we build resilient systems when we don’t own the compute we run on? How do we make consumer feedback and accurate telemetry first-class concerns for machine learning products? Machine learning maturity models often prescribe training on production data: inputs that could not only break the system but also change it in hard-to-track ways. How can we de-risk this for a production model? Deterministic code should do the same thing every time, but machine learning models often aren’t deterministic. How do we gauge whether systems are working when we don’t know exactly what output to expect from the working system? This talk will explore those questions and outline some solutions for teams to consider. You’ll see diagrams and possibly some example code, but the concepts remain language-agnostic and applicable to any ML stack. Let's keep in touch! Follow us on: 💥 Twitter: https://twitter.com/CodeBEAMio 💥 Facebook: https://www.facebook.com/CodeSyncGlobal 💥 LinkedIn: https://www.linkedin.com/company/code-sync 💥 Mastodon: https://genserver.social/codesync

✨ This talk was recorded at Code BEAM America in March 2025. If you're curious about our upcoming event, check https://codebebeameurope.com ✨ Eric gave updates on what the Elixir team has done in the last few months, what projects they're working on, what's going on on the research side, and what features will be in the next release. Let's keep in touch! Follow us on: 💥 Twitter: / codebeamio 💥 Facebook: / codesyncglobal 💥 LinkedIn: / code-sync 💥 Mastodon: https://genserver.social/codesync

✨ This talk was recorded at Code BEAM America in March 2025. If you're curious about our upcoming event, check https://codebebeameurope.com ✨ LLMs are incredible. I would argue that, at times, LLMs can feel like magic. Some would capitalize on that argument by pointing out that modern “magic is performed by tricksters and illusionists—implying that LLMs do nothing more than give the illusion of intelligence. The truth is LLMs are magicians, but their greatest trick is not writing code or perfectly formatting your e-mail, it’s convincing founders, executives, product managers, etc. to make their products less useful by adding LLM-based features nobody asked for. Many of these features are unnecessarily complex because they attempt to shoehorn LLMs to work in systems that were designed decades before the Transformer even existed. LLMs deserve better. Your products deserve better. We all deserve better. To truly unlock the potential of LLMs, we need to start thinking about how to design systems that are LLM-native. In this talk, I will discuss what it means for a system to be LLM-native, what you need to consider when building LLM-based systems, and demonstrate LLM-native alternatives to decades old software solutions. Let's keep in touch! Follow us on: 💥 Twitter: https://twitter.com/CodeBEAMio 💥 Facebook: https://www.facebook.com/CodeSyncGlobal 💥 LinkedIn: https://www.linkedin.com/company/code-sync 💥 Mastodon: https://genserver.social/codesync