OpenAI researcher Jason Wolfe explains the Model Spec, the public framework defining intended model behavior. This summary covers its core principles like the 'chain of command,' how it handles complex edge cases, its evolution through public feedback, and its future role in an increasingly autonomous AI landscape.
A deep dive into three X moonshot projects—Skip's powered "movewear", Project Iris's journey from smart contact lenses to revolutionizing glucose monitoring, and Verily's mission to enable precision healthcare through AI and comprehensive data aggregation.
Henrik Kniberg shares practical experiences from over two years of AI agent development, defining agents as autonomous entities with missions, tools, and an LLM brain. He covers effective design patterns, architectural insights, and safety considerations, emphasizing the importance of human-in-the-loop collaboration and iterative development to build agents that are not just powerful, but genuinely useful in real-world scenarios.
This episode of Security Intelligence explores the "Promptware" kill chain for AI attacks, moving beyond simple prompt injections. The discussion also covers evolving cloud attack trends targeting ecosystems over infrastructure, ransomware gangs "living off the land" with native tools, and the critical yet overlooked "rusting edge" of OT security.
Professor Heather Kulik shares her hard-won perspective on applying AI to materials science, from discovering novel polymers with surprising quantum properties to the practical limitations of LLMs and the critical need for integrating deep domain expertise with data-driven methods.
Scott Breitenother, CEO of Kilo, discusses the evolution of software development, where engineers are shifting from writing code to orchestrating AI agents. He shares lessons from processing 25 trillion tokens, emphasizing the critical role of trust, the importance of end-to-end ownership, and how this new paradigm leads to a 10x increase in shipping velocity.