ML engineer and AI researcher with a background in distributed systems. Writes dense technical deep dives with clear structure and worked examples.
45 articles published
Unlock AI search potential with Google AI Search CLI, a command-line interface for developers to build and manage AI-powered search applications.
An in-depth look at the current state of AI safety research, highlighting key findings and challenges in the field.
Discover how developers overcome AI message limits with innovative techniques and tools, enabling more efficient and effective AI applications.
Discover how a security researcher's successes in exposing AI flaws highlight the technology's potential and limitations, and what it means for developers.
Unlocking the potential of long-running AI workflows with Microsoft 365's Copilot Cowork, a game-changing feature that streamlines AI development and collaboration.
Exploring the limitations of current large language model filter systems and the emerging evasion techniques used to bypass them.
Exploring the Quadratic Problem's implications on the future of AI research, from breaking down barriers to innovative solutions.
Discover how the evolution of AI-powered SaaS is making cutting-edge technology accessible to developers and businesses of all sizes.
Discover the key considerations and popular agent frameworks for building intelligent AI systems
Exploring the challenges and paradoxes of artificial intelligence research, including the hypernormal science paradox and its implications for AI development
Discover how threadprocs are transforming code execution with 0-copy pointers, enabling efficient concurrent programming and unlocking new possibilities in AI and ML development.
Learn the art of property-based testing to ensure the reliability of your AI systems. Discover how to write robust tests and catch edge cases with confidence.