The Challenge of AI Model Evaluations with Ankur Goyal
Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure compliance with requirements, and measure software reliability. However, evaluating LLMs presents unique challenges due to their complexity, versatility,
Modern Distributed Applications with Stephan Ewen
A major challenge with creating distributed applications is achieving resilience, reliability, and fault tolerance. It can take considerable engineering time to address non-functional concerns like retries, state synchronization, and distributed coordination. Event-driven models aim to simplify these issues, but often introduce new difficulties in debugging and
Crew AI with João Moura
Agentic AI is seen as a key frontier in artificial intelligence, enabling systems to autonomously act, adapt in real-time, and solve complex, multi-step problems based on objectives and context. Unlike traditional rule-based or
Chip Design in the AI Era with Thomas Andersen
Synopsys is a leading electronic design automation company specializing in silicon design and verification, as well as software integrity and security. Their tools are foundational to the creation of modern chips and embedded
OpenTofu with Cory O’Daniel and Malcolm Matalka
OpenTofu is an open-source alternative to Terraform, designed for managing infrastructure as code. It enables users to define, provision, and manage their cloud and on-premises resources using a declarative configuration
Podcast Episodes
The Challenge of AI Model Evaluations with Ankur Goyal
Evaluations are critical for assessing the quality, performance, and effectiveness of software during development. Common evaluation methods include code reviews and automated testing, and can help identify bugs, ensure...
Modern Distributed Applications with Stephan Ewen
A major challenge with creating distributed applications is achieving resilience, reliability, and fault tolerance. It can take considerable engineering time to address non-functional concerns like retries, state synchronization,...
Crew AI with João Moura
Agentic AI is seen as a key frontier in artificial intelligence, enabling systems to autonomously act, adapt in real-time, and solve complex, multi-step problems based on objectives and context. Unlike traditional rule-based or...
Greatest Hits
Computer Logic with Chris Dixon
The history of computing can be thought of as a series of ideas rather than objects. From Aristotle’s formalization of the syllogism, to Alan Turing’s model for an all-purpose computing machine, to Satoshi Nakamoto’s distributed transaction ledger–these...
