Peter Steinberger, creator of OpenClaw, discusses his journey into open source, the unexpected success of his AI agent, and how his development workflow has been fundamentally transformed by using agentic AI tools like Codex.
Delivery Hero presents "Asya", an open-source framework that replaces traditional AI pipelines with a distributed, asynchronous actor model. This paradigm shift dramatically lowers GPU costs and improves scalability by treating each processing step as an independent, auto-scaling microservice on Kubernetes.
Umur Cubukcu, co-founder of Ubicloud, explains the principles of an "open cloud," centered on an open-source control plane, portability, and freedom from data lock-in. He details Ubicloud's strategy to compete with hyperscalers by offering superior price-performance on core services like PostgreSQL and compute, particularly for startups and enterprises seeking control and data sovereignty.
A panel of cybersecurity experts discusses the security risks of the rapid adoption of AI agents, the "move fast and break things" development culture, the lessons from the Notepad++ supply chain breach, and the professionalization of ransomware by groups like DragonForce.
Roman Zhukov (Red Hat) and Damian Brady (GitHub) explore the evolving landscape of AI-assisted software development, discussing its impact on developer workflows, code quality, security, and the future of developer roles. They emphasize that while AI tools are powerful amplifiers, human oversight remains essential for quality, security, and legal compliance.
Bryan Catanzaro, NVIDIA's VP of Applied Deep Learning Research, explains the business rationale behind developing open models like Nemotron. The strategy is twofold: to drive internal systems R&D for future hardware and to support the broader AI ecosystem, which in turn expands NVIDIA's market.