Episode 267 - Behind the Scenes: How We Use A...

In part two of this insightful conversation, Allen and Sam Witteveen dive deep into the rapidly expanding world of AI models beyond the "big three." They explore the impact of open-weight and Chinese models like DeepSeek, Mistral, and Qwen, discussing their impressive efficiency ...  Show more

In Part 1 of a two-part series, guest host Sam Witteveen joins Allen to catch up and dive deep into the rapidly evolving world of AI models. Sam shares his fascinating journey from being a successful pop songwriter to becoming a Machine Learning Google Developer Expert (GDE) and ...  Show more

In this episode, we explore a recent study that uncovers how popular voice assistants like Alexa, Siri, and Google Assistant are susceptible to malicious commands. We discuss the potential risks and what users can do to protect their devices.

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Episode 32: How can you build an app with a backend using AI in just 20 minutes? Matt Wolfe ( https://x.com/mreflow) and Nathan Lands ( https://x.com/NathanLands) sit down with AI enthusiast Riley Brown ( https://x.com/rileybrown_ai) to explore this exciting and challenging process. ...  Show more

GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if y ...  Show more

Scott and Wes tackle a variety of audience questions, from the nuances of over-engineering to the energy consumption of AI LLMs. They also discuss the pros and cons of monorepos, frameworks, and the ever-important question: Do you really need to learn all the developer tooling? ...  Show more