ML engineer and AI researcher with a background in distributed systems. Writes dense technical deep dives with clear structure and worked examples.
41 articles published
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.
Discover how artificial intelligence is driving innovation in offshore wind power, improving efficiency, reducing costs, and increasing energy output.
Explore the quadratic problem's impact on AI development and discover efficient strategies for model training with techniques like parallelization, model pruning, and knowledge distillation.
Discover how virtual machines are transforming the development landscape, enabling efficient testing, and unlocking new possibilities for AI and machine learning.
The Qatar helium shortage and its ripple effects on chip production, and what it means for the future of AI development and language models like LLaMA and BERT.